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Energy Transition in the Oil and Gas Industry
This book offers a comprehensive overview of renewables and their applications in oil and gas industry during the current energy transition period. It includes the latest methods and workflows in renewables and oil and gas processes as well as integrated and hybrid approaches currently used.
Using Fractional Derivatives as a Degree of Symmetry to Characterize Natural Shapes
The main pursuit of this thesis is to model shapes and features in natural data, such as interstellar neutral hydrogen images, in order to recognize the unusual, or novel, in the presence of the ordinary. The presented approach develops on an abstraction we call the degree of symmetry. We assert that any feature or shape decomposes into two orthogonal components: one signifies a fractional degree of symmetry, and the other a corresponding, fractional degree of anti-symmetry. This framework conflates measure of symmetry with fractional-order derivatives, such that every feature is an instantiation of a linear model consisting of the orthogonal components. Each component is a fractional deriva...
What Fuels Transformers in Computer Vision? Unraveling ViT's Advantages
Master's Thesis from the year 2022 in the subject Computer Sciences - Artificial Intelligence, grade: 7.50, Universidad de Alcalá, course: Artificial Intelligence and Deep Learning, language: English, abstract: Vision Transformers (ViT) are neural model architectures that compete and exceed classical convolutional neural networks (CNNs) in computer vision tasks. ViT's versatility and performance is best understood by proceeding with a backward analysis. In this study, we aim to identify, analyse and extract the key elements of ViT by backtracking on the origin of Transformer neural architectures (TNA). We hereby highlight the benefits and constraints of the Transformer architecture, as well...
Energy Policy
The aim of this book is to provide energy conservation, increase energy efficiency, reduce the costs of alternative and renewable energy sources, improve energy management systems, and provide energy for world peace. The chapters collected in the book are contributions by invited researchers with long-standing experience in different research areas. I hope that the material presented here is understandable to a wide audience, not only energy and mechanical engineering, but also scientists from various disciplines. The book contains seven chapters in four sections: “Introduction to the Energy,” “Energy Policy,” “Energy Application for Country,” and “Implementation of Other Energ...
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation
This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation
This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.
Intelligent Systems and Pattern Recognition
This volume constitutes selected papers presented during the Second International Conference on Intelligent Systems and Pattern Recognition, ISPR 2022, held in Hammamet, Tunisia, in March 2022. Due to the COVID-19 pandemic the conference was held online. The 22 full papers and 10 short papers presented were thoroughly reviewed and selected from the 91 submissions. The papers are organized in the following topical sections: computer vision; data mining; pattern recognition; machine and deep learning.
