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Severity Grading of Ulcerative Colitis Using Endoscopy Images: An Ensembled Deep Learning and Transfer Learning Approach
Ulcerative colitis (UC) is a persistent condition necessitating prompt treatment to avert potential complications. Detecting UC severity aids...
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Deep Learning
It is stated that deep learning (DL) depends on a mixture of artificial intelligence (AI) and machine learning (ML) rules that encompasses all those...
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A survey: evolutionary deep learning
Deep learning (DL) has made remarkable progress on various real-world tasks, but its construction pipeline strongly relies on human scientists....
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A comprehensive review of COVID-19 detection with machine learning and deep learning techniques
PurposeThe first transmission of coronavirus to humans started in Wuhan city of China, took the shape of a pandemic called Corona Virus Disease 2019...
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Deep Learning Models for Diagnosis of Schizophrenia Using EEG Signals: Emerging Trends, Challenges, and Prospects
Schizophrenia (ScZ) is a chronic neuropsychiatric disorder characterized by disruptions in cognitive, perceptual, social, emotional, and behavioral...
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Detection of epileptic seizure in EEG signals using machine learning and deep learning techniques
Around 50 million individuals worldwide suffer from epilepsy, a chronic, non-communicable brain disorder. Several screening methods, including...
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Deep Learning in Maritime Autonomous Surface Ships: Current Development and Challenges
Autonomous surface ships have become increasingly interesting for commercial maritime sectors. Before deep learning (DL) was proposed, surface ship...
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Using machine learning and deep learning algorithms for downtime minimization in manufacturing systems: an early failure detection diagnostic service
Accurate detection of possible machine failure allows manufacturers to identify potential fault situations in processes to avoid downtimes caused by...
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Applications of deep learning to selected aerospace systems
Long-distance space systems generate enormous amounts of bigdata. These bigdata can be used to generate intelligent that can help us better...
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Modified state activation functions of deep learning-based SC-FDMA channel equalization system
The most important function of the deep learning (DL) channel equalization and symbol detection systems is the ability to predict the user’s original...
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Training of Deep Learning Networks
This section of the book details on training Deep Learning Networks. PyTorch is one of the popular AI framework to model Deep Learning Networks and...
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A deep learning-based numerical approach for the natural convection inside a porous media
This paper focuses on the emerging branch of the deep learning technique that is employed in the various simple and nonlinear mathematical models of...
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Deep learning applications in the Internet of Things: a review, tools, and future directions
The emergence of the Internet of Things (IoT) has enabled the proliferation of interconnected devices and sensors, generating vast amounts of often...
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Deep learning-based sequential models for multi-user detection with M-PSK for downlink NOMA wireless communication systems
Non-orthogonal multiple access (NOMA) techniques have the potential to achieve large connectivity requirements for future-generation wireless...
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Deployment of Deep Learning Networks
The surge on the Internet and data has led to advanced deep learning systems and hence the book also presents techniques for Internet of Things (IoT)...
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Novel Deep Learning Framework for Efficient Pressure Zone Detection Via Analysis of Pore Pressure Profiling
During drilling operations, abnormal pore pressures pose significant risks including blowouts, wellbore collapse, and pipe sticking, emphasizing the...
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Advances in Deep Learning Models for Resolving Medical Image Segmentation Data Scarcity Problem: A Topical Review
Deep learning (DL) methods have recently become state-of-the-art in most automated medical image segmentation tasks. Some of the biggest challenges...
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Comparative study of machine learning and deep learning techniques for fault diagnosis in suspension system
Comfort and stability are the prime reasons to own an automobile (car). Suspension system of an automobile plays a major role in providing comfort,...
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A Structured Analysis to study the Role of Machine Learning and Deep Learning in The Healthcare Sector with Big Data Analytics
Machine and deep learning are used worldwide. Machine Learning (ML) and Deep Learning (DL) are playing an increasingly important role in the...
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Harnessing the Power of 6G Connectivity for Advanced Big Data Analytics with Deep Learning
The smart applications development worldwide demands for ultra-reliable data communication to assure the richness of data and processing in time....
