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INFORMATION RETRIEVAL Anandraj.L
INFORMATION RETRIEVAL Anandraj.L
anujessy
gives the basic information about the IR.
Information retrieval introduction
Information retrieval introduction
nimmyjans4
Bioinformatioc: Information Retrieval - II
Bioinformatioc: Information Retrieval - II
Dr. Rupak Chakravarty
Information Retrieval - Anna University Full 5 Units covered in this notes
CS6007 information retrieval - 5 units notes
CS6007 information retrieval - 5 units notes
Anandh Arumugakan
Functions of information retrival system(1)
Functions of information retrival system(1)
silambu111
MLIS Course Code 5501-Information Retrieval and Dissemination- Workshop AIOU 2013, Information Management, Information Retrieval and Dissemination, Information Retrieval, Information Dissemination, Workshop, AIOU, Computer Science, Information science, Information technology, Hardware, Software, Computer basics,
INFORMATION RETRIEVAL AND DISSEMINATION
INFORMATION RETRIEVAL AND DISSEMINATION
Libcorpio
Information retrieval s
Information retrieval s
silambu111
An overall view for a WEB-BASED INFORMATION RETRIEVAL SYSTEM. It's like a Technical Seminar Use.
WEB BASED INFORMATION RETRIEVAL SYSTEM
WEB BASED INFORMATION RETRIEVAL SYSTEM
Sai Kumar Ale
Recommandé
INFORMATION RETRIEVAL Anandraj.L
INFORMATION RETRIEVAL Anandraj.L
anujessy
gives the basic information about the IR.
Information retrieval introduction
Information retrieval introduction
nimmyjans4
Bioinformatioc: Information Retrieval - II
Bioinformatioc: Information Retrieval - II
Dr. Rupak Chakravarty
Information Retrieval - Anna University Full 5 Units covered in this notes
CS6007 information retrieval - 5 units notes
CS6007 information retrieval - 5 units notes
Anandh Arumugakan
Functions of information retrival system(1)
Functions of information retrival system(1)
silambu111
MLIS Course Code 5501-Information Retrieval and Dissemination- Workshop AIOU 2013, Information Management, Information Retrieval and Dissemination, Information Retrieval, Information Dissemination, Workshop, AIOU, Computer Science, Information science, Information technology, Hardware, Software, Computer basics,
INFORMATION RETRIEVAL AND DISSEMINATION
INFORMATION RETRIEVAL AND DISSEMINATION
Libcorpio
Information retrieval s
Information retrieval s
silambu111
An overall view for a WEB-BASED INFORMATION RETRIEVAL SYSTEM. It's like a Technical Seminar Use.
WEB BASED INFORMATION RETRIEVAL SYSTEM
WEB BASED INFORMATION RETRIEVAL SYSTEM
Sai Kumar Ale
IR System
Information retrieval system!
Information retrieval system!
Jane Garay
Bhojaraju.G, M.S.Banerji and Muttayya Koganurmath (2004). Information Storage and Retrieval: A Case Study, In Proceedings of International Conference on Digital Libraries (ICDL 2004), New Delhi, Feb 24-27, 2004. (Best Poster Presentation Award)
Information Storage and Retrieval : A Case Study
Information Storage and Retrieval : A Case Study
Bhojaraju Gunjal
Retrival tools for literature
basis of infromation retrival part 1 retrival tools
basis of infromation retrival part 1 retrival tools
Saroj Suwal
Vector space model of information retrieval
Vector space model of information retrieval
Nanthini Dominique
IRS in the Library
Information retrieval system
Information retrieval system
Leslie Vargas
Model of information retrieval (3)
Model of information retrieval (3)
9866825059
Information storage and retrieval
Information storage and retrieval
Sadaf Rafiq
presented with slides from .ppt - Powerful Presentation Techniques related to IRT (information retrieval Techniques)
information retrieval Techniques and normalization
information retrieval Techniques and normalization
Ameenababs
Konsep Dasar Information Retrieval - Edi faizal
Konsep Dasar Information Retrieval - Edi faizal
Konsep Dasar Information Retrieval - Edi faizal
EdiFaizal2
Broad introduction to information retrieval and web search, used to teaching at the Yahoo Bangalore Summer School 2013. Slides are a mash-up from my own and other people's presentations.
Introduction to Information Retrieval
Introduction to Information Retrieval
Roi Blanco
Automatic indexing
Automatic indexing
dhatchayaninandu
ir system
Ir 01
Ir 01
Mohammed Romi
This presentation is the part of My PGDLIM Course in Central University of Gujarat
Review of search and retrieval strategies
Review of search and retrieval strategies
Abid Fakhre Alam
Describes the use of ontology in information retrieval.
Research on ontology based information retrieval techniques
Research on ontology based information retrieval techniques
Kausar Mukadam
An information storage and retrieval system (ISRS) is a network with a built-in user interface that facilitates the creation, searching, and modification of stored data.
Information Storage and Retrieval system (ISRS)
Information Storage and Retrieval system (ISRS)
Sumit Kumar Gupta
Lec1,2
Lec1,2
alaa223
IR
Information retrieval-systems notes
Information retrieval-systems notes
BAIRAVI T
An introductory lecture on Information Retrieval (IR), given at AFIRM 2019 at Cape Town, South Africa.
Information Retrieval Fundamentals - An introduction
Information Retrieval Fundamentals - An introduction
Grace Hui Yang
Information storage and retrieval
Information storage and retrieval
Information storage and retrieval
Dr. Utpal Das
Lectures 1,2,3
Lectures 1,2,3
alaa223
Hci encyclopedia irshortefords
Hci encyclopedia irshortefords
apollobgslibrary
Hci encyclopedia irshortefords
Hci encyclopedia irshortefords
apollobgslibrary
Contenu connexe
Tendances
IR System
Information retrieval system!
Information retrieval system!
Jane Garay
Bhojaraju.G, M.S.Banerji and Muttayya Koganurmath (2004). Information Storage and Retrieval: A Case Study, In Proceedings of International Conference on Digital Libraries (ICDL 2004), New Delhi, Feb 24-27, 2004. (Best Poster Presentation Award)
Information Storage and Retrieval : A Case Study
Information Storage and Retrieval : A Case Study
Bhojaraju Gunjal
Retrival tools for literature
basis of infromation retrival part 1 retrival tools
basis of infromation retrival part 1 retrival tools
Saroj Suwal
Vector space model of information retrieval
Vector space model of information retrieval
Nanthini Dominique
IRS in the Library
Information retrieval system
Information retrieval system
Leslie Vargas
Model of information retrieval (3)
Model of information retrieval (3)
9866825059
Information storage and retrieval
Information storage and retrieval
Sadaf Rafiq
presented with slides from .ppt - Powerful Presentation Techniques related to IRT (information retrieval Techniques)
information retrieval Techniques and normalization
information retrieval Techniques and normalization
Ameenababs
Konsep Dasar Information Retrieval - Edi faizal
Konsep Dasar Information Retrieval - Edi faizal
Konsep Dasar Information Retrieval - Edi faizal
EdiFaizal2
Broad introduction to information retrieval and web search, used to teaching at the Yahoo Bangalore Summer School 2013. Slides are a mash-up from my own and other people's presentations.
Introduction to Information Retrieval
Introduction to Information Retrieval
Roi Blanco
Automatic indexing
Automatic indexing
dhatchayaninandu
ir system
Ir 01
Ir 01
Mohammed Romi
This presentation is the part of My PGDLIM Course in Central University of Gujarat
Review of search and retrieval strategies
Review of search and retrieval strategies
Abid Fakhre Alam
Describes the use of ontology in information retrieval.
Research on ontology based information retrieval techniques
Research on ontology based information retrieval techniques
Kausar Mukadam
An information storage and retrieval system (ISRS) is a network with a built-in user interface that facilitates the creation, searching, and modification of stored data.
Information Storage and Retrieval system (ISRS)
Information Storage and Retrieval system (ISRS)
Sumit Kumar Gupta
Lec1,2
Lec1,2
alaa223
IR
Information retrieval-systems notes
Information retrieval-systems notes
BAIRAVI T
An introductory lecture on Information Retrieval (IR), given at AFIRM 2019 at Cape Town, South Africa.
Information Retrieval Fundamentals - An introduction
Information Retrieval Fundamentals - An introduction
Grace Hui Yang
Information storage and retrieval
Information storage and retrieval
Information storage and retrieval
Dr. Utpal Das
Lectures 1,2,3
Lectures 1,2,3
alaa223
Tendances
(20)
Information retrieval system!
Information retrieval system!
Information Storage and Retrieval : A Case Study
Information Storage and Retrieval : A Case Study
basis of infromation retrival part 1 retrival tools
basis of infromation retrival part 1 retrival tools
Vector space model of information retrieval
Vector space model of information retrieval
Information retrieval system
Information retrieval system
Model of information retrieval (3)
Model of information retrieval (3)
Information storage and retrieval
Information storage and retrieval
information retrieval Techniques and normalization
information retrieval Techniques and normalization
Konsep Dasar Information Retrieval - Edi faizal
Konsep Dasar Information Retrieval - Edi faizal
Introduction to Information Retrieval
Introduction to Information Retrieval
Automatic indexing
Automatic indexing
Ir 01
Ir 01
Review of search and retrieval strategies
Review of search and retrieval strategies
Research on ontology based information retrieval techniques
Research on ontology based information retrieval techniques
Information Storage and Retrieval system (ISRS)
Information Storage and Retrieval system (ISRS)
Lec1,2
Lec1,2
Information retrieval-systems notes
Information retrieval-systems notes
Information Retrieval Fundamentals - An introduction
Information Retrieval Fundamentals - An introduction
Information storage and retrieval
Information storage and retrieval
Lectures 1,2,3
Lectures 1,2,3
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Hci encyclopedia irshortefords
Hci encyclopedia irshortefords
apollobgslibrary
Hci encyclopedia irshortefords
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apollobgslibrary
Mam assign
Mam assign
silambu111
Course material for 3rd year Information Technology students. Information Storage and Retrieval Course. Chapter 1: Introduction to Information storage and retrieval
Chapter 1: Introduction to Information Storage and Retrieval
Chapter 1: Introduction to Information Storage and Retrieval
captainmactavish1996
Ijetcas14 446
Ijetcas14 446
Iasir Journals
Lec1
Lec1
alaa223
Jonathan Breeze, Symplectic
Jonathan Breeze, Symplectic
BostonLibraryCosnortium
On November 21st 2014 at the Tufts University Medford campus and November 25th 2014 at the campus of the University of Massachusetts Medical School in Worcester, the BLC and Digital Science hosted a workshop focused on better understanding the research information management landscape. Jonathan Breeze, CEO of Symplectic, reflected on the emergence of research information management systems and the resulting benefits they can provide.
BLC & Digital Science: Jonathan Breeze, Symplectic
BLC & Digital Science: Jonathan Breeze, Symplectic
Boston Library Consortium, Inc.
CS8080 IRT UNIT I NOTES.pdf
CS8080 IRT UNIT I NOTES.pdf
CS8080 IRT UNIT I NOTES.pdf
AALIM MUHAMMED SALEGH COLLEGE OF ENGINEERING
COURSE : B.E.(CSE) / B.Tech. PROFESSIONAL ELECTIVE - V
CS8080_IRT__UNIT_I_NOTES.pdf
CS8080_IRT__UNIT_I_NOTES.pdf
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information retrieval in artificial intelligence
information retrieval in artificial intelligence
information retrieval in artificial intelligence
PriyadharshiniG41
https://irjet.net/archives/V4/i3/IRJET-V4I350.pdf
Algorithm for calculating relevance of documents in information retrieval sys...
Algorithm for calculating relevance of documents in information retrieval sys...
IRJET Journal
Custom Writing Service http://StudyHub.vip/An-Improved-Mining-Of-Biomedical-Data-F 👈
An Improved Mining Of Biomedical Data From Web Documents Using Clustering
An Improved Mining Of Biomedical Data From Web Documents Using Clustering
Kelly Lipiec
Text databases and information retrieval
Text databases and information retrieval
unyil96
Amarnath Gupta INCF Meeting, Munich, Germany Sept 11 2012
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
Neuroscience Information Framework
These lecture slides describes the information retrieval models.
Information_Retrieval_Models_Nfaoui_El_Habib
Information_Retrieval_Models_Nfaoui_El_Habib
El Habib NFAOUI
types of multimedia tool use for information gather
Hci
Hci
Er. Saurabh Singh
A digital library is a type of information retrieval (IR) system. The existing information retrieval methodologies generally have problems on keyword-searching. We proposed a model to solve the problem by using concept-based approach (ontology) and metadata case base. This model consists of identifying domain concepts in user’s query and applying expansion to them. The system aims at contributing to an improved relevance of results retrieved from digital libraries by proposing a conceptual query expansion for intelligent concept-based retrieval. We need to import the concept of ontology, making use of its advantage of abundant semantics and standard concept. Domain specific ontology can be used to improve information retrieval from traditional level based on keyword to the lay based on knowledge (or concept) and change the process of retrieval from traditional keyword matching to semantics matching. One approach is query expansion techniques using domain ontology and the other would be introducing a case based similarity measure for metadata information retrieval using Case Based Reasoning (CBR) approach. Results show improvements over classic method, query expansion using general purpose ontology and a number of other approaches.
INTELLIGENT INFORMATION RETRIEVAL WITHIN DIGITAL LIBRARY USING DOMAIN ONTOLOGY
INTELLIGENT INFORMATION RETRIEVAL WITHIN DIGITAL LIBRARY USING DOMAIN ONTOLOGY
cscpconf
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
ijceronline
https://www.irjet.net/archives/V6/i12/IRJET-V6I12195.pdf
IRJET- Cluster Analysis for Effective Information Retrieval through Cohesive ...
IRJET- Cluster Analysis for Effective Information Retrieval through Cohesive ...
IRJET Journal
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Hci encyclopedia irshortefords
Hci encyclopedia irshortefords
Hci encyclopedia irshortefords
Hci encyclopedia irshortefords
Mam assign
Mam assign
Chapter 1: Introduction to Information Storage and Retrieval
Chapter 1: Introduction to Information Storage and Retrieval
Ijetcas14 446
Ijetcas14 446
Lec1
Lec1
Jonathan Breeze, Symplectic
Jonathan Breeze, Symplectic
BLC & Digital Science: Jonathan Breeze, Symplectic
BLC & Digital Science: Jonathan Breeze, Symplectic
CS8080 IRT UNIT I NOTES.pdf
CS8080 IRT UNIT I NOTES.pdf
CS8080_IRT__UNIT_I_NOTES.pdf
CS8080_IRT__UNIT_I_NOTES.pdf
information retrieval in artificial intelligence
information retrieval in artificial intelligence
Algorithm for calculating relevance of documents in information retrieval sys...
Algorithm for calculating relevance of documents in information retrieval sys...
An Improved Mining Of Biomedical Data From Web Documents Using Clustering
An Improved Mining Of Biomedical Data From Web Documents Using Clustering
Text databases and information retrieval
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In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
In Search of a Missing Link in the Data Deluge vs. Data Scarcity Debate
Information_Retrieval_Models_Nfaoui_El_Habib
Information_Retrieval_Models_Nfaoui_El_Habib
Hci
Hci
INTELLIGENT INFORMATION RETRIEVAL WITHIN DIGITAL LIBRARY USING DOMAIN ONTOLOGY
INTELLIGENT INFORMATION RETRIEVAL WITHIN DIGITAL LIBRARY USING DOMAIN ONTOLOGY
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IJCER (www.ijceronline.com) International Journal of computational Engineerin...
IRJET- Cluster Analysis for Effective Information Retrieval through Cohesive ...
IRJET- Cluster Analysis for Effective Information Retrieval through Cohesive ...
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These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
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The Digital Insurer
Presentation from Melissa Klemke from her talk at Product Anonymous in April 2024
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
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Copy of the slides presented by Matt Robison to the SFWelly Salesforce user group community on May 2 2024. The audience was truly international with attendees from at least 4 different countries joining online. Matt is an expert in data cloud and this was a brilliant session.
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
Anna Loughnan Colquhoun
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
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In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.
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With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.
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Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.
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Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
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The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx
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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)
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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
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lior mazor
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vu2urc
How to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
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naman860154
I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
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Information retrieval
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