Soumettre la recherche
Mettre en ligne
Lecture34
•
Télécharger en tant que PPT, PDF
•
1 j'aime
•
211 vues
G
guestc24b39
Suivre
Technologie
Signaler
Partager
Signaler
Partager
1 sur 20
Télécharger maintenant
Recommandé
Chapter 17
Chapter 17
ashish bansal
lecture 26
lecture 26
sajinsc
Course: Programming Languages and Paradigms: A brief introduction to computability, turing machines and lambda calculus
Computability, turing machines and lambda calculus
Computability, turing machines and lambda calculus
Edward Blurock
Discussion on how adopting a service bus strategy provides value.
Service Bus Value
Service Bus Value
Steve Cote
My presentation slides for Scaling Tech in Asia during WordPress Meetup June 2015 organised by Singapore WordPress User Group.
Scaling Tech in Asia
Scaling Tech in Asia
Lester Chan
My presentation slides for Tips & Tricks in securing your WordPress installation during Hackatron Asia 2014 which takes place on 6th and 7th December 2014. This presentation is just an updated presentation of http://www.slideshare.net/gamerz/singapore-word-press-user-group-meetup-september-2014-wordpress-security
Tips & Tricks in securing your WordPress installation
Tips & Tricks in securing your WordPress installation
Lester Chan
Why Real Estate Investments are still attractive in this envrionment.
Real Estate Investment – A Wise Choice (Wm Forum)
Real Estate Investment – A Wise Choice (Wm Forum)
Ahsan Ali CFA, FRM, MCSI
some activities about medieval music
Medieval music
Medieval music
Barbara Duran Bordoy
Recommandé
Chapter 17
Chapter 17
ashish bansal
lecture 26
lecture 26
sajinsc
Course: Programming Languages and Paradigms: A brief introduction to computability, turing machines and lambda calculus
Computability, turing machines and lambda calculus
Computability, turing machines and lambda calculus
Edward Blurock
Discussion on how adopting a service bus strategy provides value.
Service Bus Value
Service Bus Value
Steve Cote
My presentation slides for Scaling Tech in Asia during WordPress Meetup June 2015 organised by Singapore WordPress User Group.
Scaling Tech in Asia
Scaling Tech in Asia
Lester Chan
My presentation slides for Tips & Tricks in securing your WordPress installation during Hackatron Asia 2014 which takes place on 6th and 7th December 2014. This presentation is just an updated presentation of http://www.slideshare.net/gamerz/singapore-word-press-user-group-meetup-september-2014-wordpress-security
Tips & Tricks in securing your WordPress installation
Tips & Tricks in securing your WordPress installation
Lester Chan
Why Real Estate Investments are still attractive in this envrionment.
Real Estate Investment – A Wise Choice (Wm Forum)
Real Estate Investment – A Wise Choice (Wm Forum)
Ahsan Ali CFA, FRM, MCSI
some activities about medieval music
Medieval music
Medieval music
Barbara Duran Bordoy
manage your time to be more efficient at work.
Time Management skills
Time Management skills
Taleb Hammad
Sharpen your Selling techniques or loss your market .
Pharma selling challenges
Pharma selling challenges
Taleb Hammad
communicate your thoughts ....
Communication Skills
Communication Skills
Taleb Hammad
The article looks at asset allocation options available to conventional and Islamic investors.
Islamic Asset Allocation - Risk and Reward
Islamic Asset Allocation - Risk and Reward
Ahsan Ali CFA, FRM, MCSI
A discussion on why real estate ia a \'real\' store of value and why it is a good time to invest.
Real Estate Investing - Real Value
Real Estate Investing - Real Value
Ahsan Ali CFA, FRM, MCSI
Strong organisations build strong brands. It's people that build organisations! The results an organisation gets come from the way its people behave, cooperate and solve problems. Insight in the cause-and-effect relationships in your organisation helps you devise successful interventions that lead to more effectiveness and a stronger brand.
Frisbeemanagement. How better insight in the potential of your organisation, ...
Frisbeemanagement. How better insight in the potential of your organisation, ...
Theo Kroese
A discourse on the need for a Unified Credit Rating for SME\'s as a solution for access to financing
Sme Unified Credit Rating
Sme Unified Credit Rating
Ahsan Ali CFA, FRM, MCSI
Companies, mergers and investments don't fail because of lousy products - it's culture and behaviour that determine distinction! Make your company, merger or investment stand out sustainably by focussing on what really matters: the people and their behaviour!
Cultural Due Diligence
Cultural Due Diligence
Theo Kroese
Be distinct or become extinct. Strong brands are brought forth by strong organisations. Effective brands are authentic and consistent with the organisation's identity.
Brand Strategy Development
Brand Strategy Development
Theo Kroese
Curriculum Vitae
Curriculum Vitae
myrela 01
Safo bo
Safo bo
Barbara Duran Bordoy
artesania Senegal
Benkhadibonrotllo Galeria
Benkhadibonrotllo Galeria
Josep Rue
lecture 27
lecture 27
sajinsc
Greedy algorithms in Algorithm Analysis
Greedy algorithms
Greedy algorithms
Rajendran
Dynamic Programming is a method for solving a complex problem by breaking it down into a collection of simpler subproblems, solving each of those subproblems just once, and storing their solutions using a memory-based data structure (array, map,etc).
Dynamic programming
Dynamic programming
Melaku Bayih Demessie
Analysis and Design of Algorithms by Prof. K. Adisesha
Analysis and Design of Algorithms notes
Analysis and Design of Algorithms notes
Prof. Dr. K. Adisesha
Prim's Algorithm Kruskal's algorithm Making change Knapsack
Greedy algorithms -Making change-Knapsack-Prim's-Kruskal's
Greedy algorithms -Making change-Knapsack-Prim's-Kruskal's
Jay Patel
Greedy
Greedy
koralverma
Algorithms design patterns
Algorithms Design Patterns
Algorithms Design Patterns
Ashwin Shiv
Greedy algorithm
Greedy1.ppt
Greedy1.ppt
PallaviDhade1
DynamicProgramming.pptx
DynamicProgramming.pptx
DynamicProgramming.pptx
SaimaShaheen14
Greedy algorithms are fundamental techniques used in computer science and optimization problems. They belong to a class of algorithms that make decisions based on the current best option without considering the overall future consequences. Despite their simplicity and intuitive appeal, greedy algorithms can provide efficient solutions to a wide range of problems across various domains. At the core of greedy algorithms lies a simple principle: at each step, choose the locally optimal solution that seems best at the moment, with the hope that it will lead to a globally optimal solution. This principle makes greedy algorithms easy to understand and implement, as they typically involve iterating through a set of choices and making decisions based on some criteria. One of the key characteristics of greedy algorithms is their greedy choice property, which states that at each step, the locally optimal choice leads to an optimal solution overall. This property allows greedy algorithms to make decisions without needing to backtrack or reconsider previous choices, resulting in efficient solutions for many problems. Greedy algorithms are commonly used in problems involving optimization, scheduling, and combinatorial optimization. Examples include finding the minimum spanning tree in a graph (Prim's and Kruskal's algorithms), finding the shortest path in a weighted graph (Dijkstra's algorithm), and scheduling tasks to minimize completion time (interval scheduling). Despite their effectiveness in many situations, greedy algorithms may not always produce the optimal solution for a given problem. In some cases, a greedy approach can lead to suboptimal solutions that are not globally optimal. This occurs when the greedy choice property does not guarantee an optimal solution at each step, or when there are conflicting objectives that cannot be resolved by a greedy strategy alone. To mitigate these limitations, it is essential to carefully analyze the problem at hand and determine whether a greedy approach is appropriate. In some cases, greedy algorithms can be augmented with additional techniques or heuristics to improve their performance or guarantee optimality. Alternatively, other algorithmic paradigms such as dynamic programming or divide and conquer may be better suited for certain problems. Overall, greedy algorithms offer a powerful and versatile tool for solving optimization problems efficiently. By understanding their principles and characteristics, programmers and researchers can leverage greedy algorithms to tackle a wide range of computational challenges and design elegant solutions that balance simplicity and effectiveness.
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
22bcs058
Contenu connexe
En vedette
manage your time to be more efficient at work.
Time Management skills
Time Management skills
Taleb Hammad
Sharpen your Selling techniques or loss your market .
Pharma selling challenges
Pharma selling challenges
Taleb Hammad
communicate your thoughts ....
Communication Skills
Communication Skills
Taleb Hammad
The article looks at asset allocation options available to conventional and Islamic investors.
Islamic Asset Allocation - Risk and Reward
Islamic Asset Allocation - Risk and Reward
Ahsan Ali CFA, FRM, MCSI
A discussion on why real estate ia a \'real\' store of value and why it is a good time to invest.
Real Estate Investing - Real Value
Real Estate Investing - Real Value
Ahsan Ali CFA, FRM, MCSI
Strong organisations build strong brands. It's people that build organisations! The results an organisation gets come from the way its people behave, cooperate and solve problems. Insight in the cause-and-effect relationships in your organisation helps you devise successful interventions that lead to more effectiveness and a stronger brand.
Frisbeemanagement. How better insight in the potential of your organisation, ...
Frisbeemanagement. How better insight in the potential of your organisation, ...
Theo Kroese
A discourse on the need for a Unified Credit Rating for SME\'s as a solution for access to financing
Sme Unified Credit Rating
Sme Unified Credit Rating
Ahsan Ali CFA, FRM, MCSI
Companies, mergers and investments don't fail because of lousy products - it's culture and behaviour that determine distinction! Make your company, merger or investment stand out sustainably by focussing on what really matters: the people and their behaviour!
Cultural Due Diligence
Cultural Due Diligence
Theo Kroese
Be distinct or become extinct. Strong brands are brought forth by strong organisations. Effective brands are authentic and consistent with the organisation's identity.
Brand Strategy Development
Brand Strategy Development
Theo Kroese
Curriculum Vitae
Curriculum Vitae
myrela 01
Safo bo
Safo bo
Barbara Duran Bordoy
artesania Senegal
Benkhadibonrotllo Galeria
Benkhadibonrotllo Galeria
Josep Rue
En vedette
(12)
Time Management skills
Time Management skills
Pharma selling challenges
Pharma selling challenges
Communication Skills
Communication Skills
Islamic Asset Allocation - Risk and Reward
Islamic Asset Allocation - Risk and Reward
Real Estate Investing - Real Value
Real Estate Investing - Real Value
Frisbeemanagement. How better insight in the potential of your organisation, ...
Frisbeemanagement. How better insight in the potential of your organisation, ...
Sme Unified Credit Rating
Sme Unified Credit Rating
Cultural Due Diligence
Cultural Due Diligence
Brand Strategy Development
Brand Strategy Development
Curriculum Vitae
Curriculum Vitae
Safo bo
Safo bo
Benkhadibonrotllo Galeria
Benkhadibonrotllo Galeria
Similaire à Lecture34
lecture 27
lecture 27
sajinsc
Greedy algorithms in Algorithm Analysis
Greedy algorithms
Greedy algorithms
Rajendran
Dynamic Programming is a method for solving a complex problem by breaking it down into a collection of simpler subproblems, solving each of those subproblems just once, and storing their solutions using a memory-based data structure (array, map,etc).
Dynamic programming
Dynamic programming
Melaku Bayih Demessie
Analysis and Design of Algorithms by Prof. K. Adisesha
Analysis and Design of Algorithms notes
Analysis and Design of Algorithms notes
Prof. Dr. K. Adisesha
Prim's Algorithm Kruskal's algorithm Making change Knapsack
Greedy algorithms -Making change-Knapsack-Prim's-Kruskal's
Greedy algorithms -Making change-Knapsack-Prim's-Kruskal's
Jay Patel
Greedy
Greedy
koralverma
Algorithms design patterns
Algorithms Design Patterns
Algorithms Design Patterns
Ashwin Shiv
Greedy algorithm
Greedy1.ppt
Greedy1.ppt
PallaviDhade1
DynamicProgramming.pptx
DynamicProgramming.pptx
DynamicProgramming.pptx
SaimaShaheen14
Greedy algorithms are fundamental techniques used in computer science and optimization problems. They belong to a class of algorithms that make decisions based on the current best option without considering the overall future consequences. Despite their simplicity and intuitive appeal, greedy algorithms can provide efficient solutions to a wide range of problems across various domains. At the core of greedy algorithms lies a simple principle: at each step, choose the locally optimal solution that seems best at the moment, with the hope that it will lead to a globally optimal solution. This principle makes greedy algorithms easy to understand and implement, as they typically involve iterating through a set of choices and making decisions based on some criteria. One of the key characteristics of greedy algorithms is their greedy choice property, which states that at each step, the locally optimal choice leads to an optimal solution overall. This property allows greedy algorithms to make decisions without needing to backtrack or reconsider previous choices, resulting in efficient solutions for many problems. Greedy algorithms are commonly used in problems involving optimization, scheduling, and combinatorial optimization. Examples include finding the minimum spanning tree in a graph (Prim's and Kruskal's algorithms), finding the shortest path in a weighted graph (Dijkstra's algorithm), and scheduling tasks to minimize completion time (interval scheduling). Despite their effectiveness in many situations, greedy algorithms may not always produce the optimal solution for a given problem. In some cases, a greedy approach can lead to suboptimal solutions that are not globally optimal. This occurs when the greedy choice property does not guarantee an optimal solution at each step, or when there are conflicting objectives that cannot be resolved by a greedy strategy alone. To mitigate these limitations, it is essential to carefully analyze the problem at hand and determine whether a greedy approach is appropriate. In some cases, greedy algorithms can be augmented with additional techniques or heuristics to improve their performance or guarantee optimality. Alternatively, other algorithmic paradigms such as dynamic programming or divide and conquer may be better suited for certain problems. Overall, greedy algorithms offer a powerful and versatile tool for solving optimization problems efficiently. By understanding their principles and characteristics, programmers and researchers can leverage greedy algorithms to tackle a wide range of computational challenges and design elegant solutions that balance simplicity and effectiveness.
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
22bcs058
analysis and design of algorithms for greedy agorithm
Ms nikita greedy agorithm
Ms nikita greedy agorithm
Nikitagupta123
Optimization problems can be divided into two categories, depending on whether the variables are continuous or discrete: An optimization problem with discrete variables is known as a discrete optimization, in which an object such as an integer, permutation or graph must be found from a countable set. A problem with continuous variables is known as a continuous optimization, in which an optimal value from a continuous function must be found. They can include constrained problems and multimodal problems.
Optimization problems
Optimization problems
Ruchika Sinha
Greedy method
Greedy method1
Greedy method1
Rajendran
Fractional Knapsack Problem(ADA)
Fractional Knapsack Problem
Fractional Knapsack Problem
harsh kothari
na
Parallel_Algorithms_In_Combinatorial_Optimization_Problems.ppt
Parallel_Algorithms_In_Combinatorial_Optimization_Problems.ppt
dakccse
Parallel Algorithms at Optimizations' Problem
Parallel_Algorithms_In_Combinatorial_Optimization_Problems.ppt
Parallel_Algorithms_In_Combinatorial_Optimization_Problems.ppt
BinayakMukherjee4
Our DAA Tutorial includes all topics of algorithm, asymptotic analysis, algorithm control structure, recurrence, master method, recursion tree method, simple sorting algorithm, bubble sort, selection sort, insertion sort, divide and conquer, binary search, merge sort, counting sort, lower bound theory etc.
Data Analysis and Algorithms Lecture 1: Introduction
Data Analysis and Algorithms Lecture 1: Introduction
TayyabSattar5
An Activity Selection Problem The activity selection problem is a mathematical optimization problem. Our first illustration is the problem of scheduling a resource among several challenge activities. We find a greedy algorithm provides a well designed and simple method for selecting a maximum- size set of manually compatible activities.
Greedy Algorithms WITH Activity Selection Problem.ppt
Greedy Algorithms WITH Activity Selection Problem.ppt
Ruchika Sinha
This slides gives a strong overview of backtracking algorithm. How it came and general approaches of the techniques. Also some well-known problem and solution of backtracking algorithm.
BackTracking Algorithm: Technique and Examples
BackTracking Algorithm: Technique and Examples
Fahim Ferdous
back
Back tracking
Back tracking
Keshav Memorial Institute of Technology
Similaire à Lecture34
(20)
lecture 27
lecture 27
Greedy algorithms
Greedy algorithms
Dynamic programming
Dynamic programming
Analysis and Design of Algorithms notes
Analysis and Design of Algorithms notes
Greedy algorithms -Making change-Knapsack-Prim's-Kruskal's
Greedy algorithms -Making change-Knapsack-Prim's-Kruskal's
Greedy
Greedy
Algorithms Design Patterns
Algorithms Design Patterns
Greedy1.ppt
Greedy1.ppt
DynamicProgramming.pptx
DynamicProgramming.pptx
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
Mastering Greedy Algorithms: Optimizing Solutions for Efficiency"
Ms nikita greedy agorithm
Ms nikita greedy agorithm
Optimization problems
Optimization problems
Greedy method1
Greedy method1
Fractional Knapsack Problem
Fractional Knapsack Problem
Parallel_Algorithms_In_Combinatorial_Optimization_Problems.ppt
Parallel_Algorithms_In_Combinatorial_Optimization_Problems.ppt
Parallel_Algorithms_In_Combinatorial_Optimization_Problems.ppt
Parallel_Algorithms_In_Combinatorial_Optimization_Problems.ppt
Data Analysis and Algorithms Lecture 1: Introduction
Data Analysis and Algorithms Lecture 1: Introduction
Greedy Algorithms WITH Activity Selection Problem.ppt
Greedy Algorithms WITH Activity Selection Problem.ppt
BackTracking Algorithm: Technique and Examples
BackTracking Algorithm: Technique and Examples
Back tracking
Back tracking
Dernier
Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
sammart93
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
The Digital Insurer
Following the popularity of "Cloud Revolution: Exploring the New Wave of Serverless Spatial Data," we're thrilled to announce this much-anticipated encore webinar. In this sequel, we'll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you're building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
Presentation on the progress in the Domino Container community project as delivered at the Engage 2024 conference
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Martijn de Jong
Webinar Recording: https://www.panagenda.com/webinars/why-teams-call-analytics-is-critical-to-your-entire-business Nothing is as frustrating and noticeable as being in an important call and being unable to see or hear the other person. Not surprising then, that issues with Teams calls are among the most common problems users call their helpdesk for. Having in depth insight into everything relevant going on at the user’s device, local network, ISP and Microsoft itself during the call is crucial for good Microsoft Teams Call quality support. To ensure a quick and adequate solution and to ensure your users get the most out of their Microsoft 365. But did you know that ‘bad calls’ are also an excellent indicator of other problems arising? Precisely because it is so noticeable!? Like the canary in the mine, bad calls can be early indicators of problems. Problems that might otherwise not have been noticed for a while but can have a big impact on productivity and satisfaction. Join this session by Christoph Adler to learn how true Microsoft Teams call quality analytics helped other organizations troubleshoot bad calls and identify and fix problems that impacted Teams calls or the use of Microsoft365 in general. See what it can do to keep your users happy and productive! In this session we will cover - Why CQD data alone is not enough to troubleshoot call problems - The importance of attributing call problems to the right call participant - What call quality analytics can do to help you quickly find, fix-, and prevent problems - Why having retrospective detailed insights matters - Real life examples of how others have used Microsoft Teams call quality monitoring to problem shoot problems with their ISP, network, device health and more.
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
Scaling API-first – The story of a global engineering organization Ian Reasor, Senior Computer Scientist - Adobe Radu Cotescu, Senior Computer Scientist - Adobe Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
apidays
Uncertainty, Acting under uncertainty, Basic probability notation, Bayes’ Rule,
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Khushali Kathiriya
How to get Oracle DBA Job as fresher.
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
Remote DBA Services
As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc
This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
wesley chun
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving. A report by Poten & Partners as part of the Hydrogen Asia 2024 Summit in Singapore. Copyright Poten & Partners 2024.
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Edi Saputra
This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Khem
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
The Digital Insurer
DBX 1Q24 Investor Presentation
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
Dropbox
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
Product Anonymous
Created by Mozilla Research in 2012 and now part of Linux Foundation Europe, the Servo project is an experimental rendering engine written in Rust. It combines memory safety and concurrency to create an independent, modular, and embeddable rendering engine that adheres to web standards. Stewardship of Servo moved from Mozilla Research to the Linux Foundation in 2020, where its mission remains unchanged. After some slow years, in 2023 there has been renewed activity on the project, with a roadmap now focused on improving the engine’s CSS 2 conformance, exploring Android support, and making Servo a practical embeddable rendering engine. In this presentation, Rakhi Sharma reviews the status of the project, our recent developments in 2023, our collaboration with Tauri to make Servo an easy-to-use embeddable rendering engine, and our plans for the future to make Servo an alternative web rendering engine for the embedded devices industry. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://ossna2024.sched.com/event/1aBNF/a-year-of-servo-reboot-where-are-we-now-rakhi-sharma-igalia
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
Igalia
Stay safe, grab a drink and join us virtually for our upcoming "GenAI Risks & Security" Meetup to hear about how to uncover critical GenAI risks and vulnerabilities, AI security considerations in every company, and how a CISO should navigate through GenAI Risks.
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
lior mazor
Join our latest Connector Corner webinar to discover how UiPath Integration Service revolutionizes API-centric automation in a 'Quote to Cash' process—and how that automation empowers businesses to accelerate revenue generation. A comprehensive demo will explore connecting systems, GenAI, and people, through powerful pre-built connectors designed to speed process cycle times. Speakers: James Dickson, Senior Software Engineer Charlie Greenberg, Host, Product Marketing Manager
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
DianaGray10
JAM, the future of Polkadot.
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Juan lago vázquez
ICT role in 21 century education. How to ICT help in education
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
jfdjdjcjdnsjd
Dernier
(20)
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Repurposing LNG terminals for Hydrogen Ammonia: Feasibility and Cost Saving
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Manulife - Insurer Transformation Award 2024
Manulife - Insurer Transformation Award 2024
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
presentation ICT roal in 21st century education
presentation ICT roal in 21st century education
Lecture34
1.
CS 332: Algorithms
Greedy Algorithms
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
Télécharger maintenant