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Deep Learning Foundations and Concepts
This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning...
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Deep Learning Models A Practical Approach for Hands-On Professionals
This book focuses on and prioritizes a practical approach, minimizing theoretical concepts to deliver algorithms effectively. With deep learning...
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A comparative analysis of deep learning and deep transfer learning approaches for identification of rice varieties
Rice is an essential staple food for human nutrition. Rice varieties worldwide have been planted, imported, and exported. During production and...
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Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox
With the breakthrough of AlphaGo, deep reinforcement learning has become a recognized technique for solving sequential decision-making problems....
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Research trends in deep learning and machine learning for cloud computing security
Deep learning and machine learning show effectiveness in identifying and addressing cloud security threats. Despite the large number of articles...
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Deep Learning
Deep Learning orientiert sich am Modell des Gehirns. Das menschliche Gehirn besteht Schätzungen zufolge aus 86 Mrd. Nervenzellen und sehr vielen...
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A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease
Alzheimer’s disease (AD) is a brain-related disease in which the condition of the patient gets worse with time. AD is not a curable disease by any...
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Comparative Analysis of Machine Learning, Ensemble Learning and Deep Learning Classifiers for Parkinson’s Disease Detection
A progressive neurodegenerative ailment called Parkinson's disease (PD) is marked by the death of dopamine-producing cells in the substantia nigra...
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Deep Learning Overview
Among the various machine learning algorithms, deep learning has recently been dramatically used in different scopes. Deep learning models have been...
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An enhanced deep learning method for multi-class brain tumor classification using deep transfer learning
Multi-class brain tumor classification is an important area of research in the field of medical imaging because of the different tumor...
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Deep doubly robust outcome weighted learning
Precision medicine is a framework that adapts treatment strategies to a patient’s individual characteristics and provides helpful clinical decision...
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Deep Learning
In this chapter, we introduce the main concepts of Neural Networks and Deep Learning. We review the mathematical foundations and implement the...
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Deep learning for lungs cancer detection: a review
Although lung cancer has been recognized to be the deadliest type of cancer, a good prognosis and efficient treatment depend on early detection....
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Predicting Apple Plant Diseases in Orchards Using Machine Learning and Deep Learning Algorithms
Apple cultivation in the Kashmir Valley is a cornerstone of the region’s agriculture, contributing significantly to the economy through substantial...
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CNN-Transformer: A deep learning method for automatically identifying learning engagement
Learning engagement is an essential indication to define students' learning pacification in the class, and its automated identification technique is...
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Diabetes detection based on machine learning and deep learning approaches
The increasing number of diabetes individuals in the globe has alarmed the medical sector to seek alternatives to improve their medical technologies....
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Topological deep learning: a review of an emerging paradigm
Topological deep learning (TDL) is an emerging area that combines the principles of Topological data analysis (TDA) with deep learning techniques....
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Deep Learning
Deep learning comprises various other domains including machine learning, neural networks, artificial intelligence, etc. Neutral networks form a core...
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Holistic deep learning
This paper presents a novel holistic deep learning framework that simultaneously addresses the challenges of vulnerability to input perturbations,...
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Deep learning application in diagnosing breast cancer recurrence
Patients' lives can always be saved when diseases, especially special diseases, are detected early. The chances of a patient surviving can be...
