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Understanding transfer learning and gradient-based meta-learning techniques
Deep neural networks can yield good performance on various tasks but often require large amounts of data to train them. Meta-learning received...
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Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Emotion is a subjective psychophysiological reaction coming from external stimuli which impacts every aspect of our daily lives. Due to the...
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Effectiveness evaluation of sprint sports techniques and tactics based on deep learning
The assessment of sprint-like sports techniques and tactics involves evaluating their underlying running principles, structures, functions, methods,...
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A survey on deep learning and machine learning techniques over histopathology image based Osteosarcoma Detection
Osteosarcoma is a common type of cancer that occurs in the cells and spreads to the bones. Osteosarcoma can develop due to genetic mutations, but...
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Handwriting-based gender classification using machine learning techniques
Biometrics encloses the science of measuring human body characteristics and authorizing the user based on biometric modalities. Physiological and...
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Learning-based techniques for heart disease prediction: a survey of models and performance metrics
Heart disease (HD) is a major threat to human health, and the medical field generates vast amounts of data that doctors struggle to effectively...
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Impact of machine learning-based imputation techniques on medical datasets- a comparative analysis
In the realm of medical datasets, particularly when considering diabetes, the occurrence of data incompleteness is a prevalent issue. Unveiling...
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Reinforcement learning based task offloading of IoT applications in fog computing: algorithms and optimization techniques
In recent years, fog computing has become a promising technology that supports computationally intensive and time-sensitive applications, especially...
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Enhancing Intrusion Detection Systems with Reinforcement Learning: A Comprehensive Survey of RL-based Approaches and Techniques
Intrusion detection systems (IDSs) play a crucial role in network security, as the need for secure networks continues to grow. However, traditional...
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Learning team-based navigation: a review of deep reinforcement learning techniques for multi-agent pathfinding
Multi-agent pathfinding (MAPF) is a critical field in many large-scale robotic applications, often being the fundamental step in multi-agent systems....
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Intrusion detection systems for software-defined networks: a comprehensive study on machine learning-based techniques
There has been a discernible rise in the growth and progress of the Internet, networking, and mobile communication. The complexity of networking...
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Machine learning and deep learning techniques for poultry tasks management: a review
In recent years the poultry production industry has adopted automation with the help of different kinds of technological advancements like verities...
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Prediction of global temperature anomaly by machine learning based techniques
In this work, anthropogenic and natural factors were used to evaluate and forecast climate change on a global scale by using a variety of...
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A supervised deep learning-based sentiment analysis by the implementation of Word2Vec and GloVe Embedding techniques
Sentiment analysis provides valuable insights into people’s opinions, emotions, and attitudes, enabling businesses to make more informed decisions,...
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Semantic speech analysis using machine learning and deep learning techniques: a comprehensive review
Human cognitive functions such as perception, attention, learning, memory, reasoning, and problem-solving are all significantly influenced by...
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Advanced Cloud-Based Prediction Models for Cardiovascular Disease: Integrating Machine Learning and Feature Selection Techniques
Cardiovascular disease is a major cause of global mortality, and early detection and prevention are crucial for lessening the strain on the...
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Heart disease prediction using machine learning, deep Learning and optimization techniques-A semantic review
Cardiovascular disease holds the position of being the foremost cause of death worldwide. Heart Disease Prediction (HDP) is a difficult task as it...
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Machine Learning-Based Automatic Text Summarization Techniques
Automatic text summarization (ATS) technique is needed to create a summary comprising a compact version of significant details of the document. ATS...
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An accurate analogy based software effort estimation using hybrid optimization and machine learning techniques
Software engineering’s primary task is analogy-centric effort estimation. In this, by utilizing the existent histories, the effort needed for new...
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Cancer detection and segmentation using machine learning and deep learning techniques: a review
Cancer is the most fatal diseases in the world which has highest mortality rate as compared to other type’s human diseases. The most common and...
