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Deep Learning Networks Design, Development and Deployment
This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners....
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Deep Learning and Computational Physics
The main objective of this book is to introduce a student who is familiar with elementary math concepts to select topics in deep learning. It...
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Deep Learning Foundations
This book provides a conceptual understanding of deep learning algorithms. The book consists of the four parts: foundations, deep machine learning,...
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Detecting Suicidality in Arabic Tweets Using Machine Learning and Deep Learning Techniques
Social media platforms have revolutionized traditional communication techniques by allowing people to connect instantaneously, openly, and...
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Robot autonomous gras** and assembly skill learning based on deep reinforcement learning
This paper proposes a deep reinforcement learning-based framework for robot autonomous gras** and assembly skill learning. Meanwhile, a deep...
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Deep learning in computational mechanics: a review
The rapid growth of deep learning research, including within the field of computational mechanics, has resulted in an extensive and diverse body of...
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A Procedural Constructive Learning Mechanism with Deep Reinforcement Learning for Cognitive Agents
Recent advancements in AI and deep learning have created a growing demand for artificial agents capable of performing tasks within increasingly...
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Deep Learning
In this chapter, we will focus on specific type of neural networks called as deep neural networks or deep networks. Deep networks and deep learning...
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Deep Learning
Deep learning models are new estimation models in artificial intelligence (AI). Recent breakthroughs in image analysis and speech recognition have...
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Revitalizing Arabic Character Classification: Unleashing the Power of Deep Learning with Transfer Learning and Data Augmentation Techniques
Deep learning techniques have demonstrated remarkable success in various domains, including character classification tasks. However, the performance...
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A Modified Stochastic Gradient Descent Optimization Algorithm With Random Learning Rate for Machine Learning and Deep Learning
An optimization algorithm is essential for minimizing loss (or objective) functions in machine learning and deep learning. Optimization algorithms...
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Image recognition algorithm based on hybrid deep learning
As we embrace the information age, our lives have experienced revolutionary transformations. With the continuous advancement of computer technology,...
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Model-based deep reinforcement learning for accelerated learning from flow simulations
In recent years, deep reinforcement learning has emerged as a technique to solve closed-loop flow control problems. Employing simulation-based...
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Deep Learning Challenges and Prospects in Wireless Sensor Network Deployment
This paper explores the transformative integration of deep learning applications in the deployment of Wireless Sensor Networks (WSNs). As WSNs...
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A systematic review on smart waste biomass production using machine learning and deep learning
The utilization of waste materials, as an energy resources, requires four main steps of production, pre-treatment, bio-refinery, and upgrading. This...
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Deep Learning-Powered Technologies Autonomous Driving, Artificial Intelligence of Things (AIoT), Augmented Reality, 5G Communications and Beyond
This book covers various, leading-edge deep learning technologies. The author discusses new applications of deep learning and gives insight into the...
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Rethinking Machine Learning and Deep Learning
Machine learning, deep learning, and large language algorithms are the key building blocks of modern AI. Each has its own unique strengths and...
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Application of deep learning in iron ore sintering process: a review
In the wake of the era of big data, the techniques of deep learning have become an essential research direction in the machine learning field and are...
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Prediction of Water Level Using Machine Learning and Deep Learning Techniques
Forecasting the water levels in rivers and lakes is critical for flood warnings and water-resource management. Many soft computing techniques have...
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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...