Transfer Learning Uses

The content encompasses various applications of machine learning and deep learning with a focus on transfer learning techniques across multiple domains. Studies highlight the effectiveness of deep convolutional neural networks (CNNs) in areas such as facial recognition, cultural image classification, disease detection in agriculture, and land cover classification, showcasing high levels of accuracy with limited data. Additionally, the documents discuss innovations in healthcare diagnostics, environmental monitoring, and the integration of AI in enhancing image analysis and classification tasks.

Transfer Learning in Artificial Intelligence: Concepts, Methods and Applications

parCHAIMAA BENADLA

Knowledge Reuse Degree Asymmetry in Transfer Reinforcement Learning

pargerogepatton

Advanced Intrusion Detection and Classification using Transfer Learning with Squeeze and Excitation Network and Adaptive Optimization in Big Data

parIJCNCJournal

Deep Learning Convolutional neural network architectures

parebenexcelineceec

Advanced pneumonia classification using transfer learning on chest X-ray data with EfficientNet and ResNet

parTELKOMNIKA JOURNAL

Explainable zero-shot learning and transfer learning for real time Indian healthcare

parIJICTJOURNAL

Machine learning techniques for plant disease detection: an evaluation with a customized dataset

parIJICTJOURNAL

Computer vision adalah salah satu cabang ilmu kecerdasan buatan (AI) yang memungkinkan komputer dan sistem untuk "melihat", menganalisis, dan memahami informasi visual dari dunia nyata melalui gambar atau video.

parEdi Faizal

A comprehensive analysis of different transfer learning techniques for skin cancer classification

parMd. Rahat Al Mamun

Strid-CNN: moving filters with convolution neural network for multi-class pneumonia classification

parIAESIJAI

Improving the transfer learning for batik besurek textile motif classification

parIAESIJAI

Enhancing precision agriculture: a comprehensive investigation into pathogen detection and management

parIAESIJAI

Imagery based plant disease detection using conventional neural networks and transfer learning

parIAESIJAI

Domain-specific knowledge and context in large language models: challenges, concerns, and solutions

parIAESIJAI

A novel light-weight convolutional neural network for rice leaf disease classification

parIAESIJAI

A hybrid framework for wild animal classification using fine-tuned DenseNet121 and machine learning classifiers

parIAESIJAI

Improvisation in detection of pomegranate leaf disease using transfer learning techniques

parIAESIJAI

A review of recent deep learning applications in wood surface defect identification

parIAESIJAI

Enhancing emotion recognition model for a student engagement use case through transfer learning

parIAESIJAI

Hybrid model detection and classification of lung cancer

parIAESIJAI