Computers - Computer Science

Since the publication of Lotfi A. Zadeh's seminal paper "Fuzzy Sets" in 1965 within the journal Information and Control, there has been constant growth in the theoretical developments and practical applications of fuzzy set theory and related mathematical tools. These tools have been applied...

The simultaneous availability of large datasets and high-performance computing capability in recent years has enabled the rapid development of powerful machine learning algorithms. On the one hand, state-of-the-art machine learning techniques have transformed many areas of science and engineering; on the other hand, theoretical...

The journal Axioms has achieved a remarkable increase in the number of papers published, as well as a significant growth in citations over the past decade. In order to mark this significant milestone, I am glad to lead this Special Issue entitled "10th Anniversary...

This project is dedicated to fractional calculus, one of the most dynamic areas of mathematical science today. For 50 years, the number of researchers and scientific publications dealing with this topic has been increasing day by day, which clearly demonstrates the growing interest in...

This Special Issue reprint delves into the dynamic world of robotic systems, offering a comprehensive exploration of the latest advancements in modeling, optimization, and control. Robotics has emerged as a transformative field with applications spanning from industrial automation to healthcare and beyond. In this...

The industrial sector is being transformed by the convergence of information technology and operational technology. The latter is another name for automation technology and covers established systems such as supervisory control and data acquisition (SCADA), programmable logic controllers (PLC), fieldbuses, and automation and control...

Fractional calculus (FC) has emerged as a beneficial tool for the study of dynamical systems. This is due to the fact that fractional-order (FO) operators capture the memory of all past events, leading to better descriptions of real-world phenomena than their integer-order counterparts. From...

Fractional calculus (FC) has emerged as a beneficial tool for the study of dynamical systems. This is due to the fact that fractional-order (FO) operators capture the memory of all past events, leading to better descriptions of real-world phenomena than their integer-order counterparts. From...

This reprint of the Special Issue on "Fractional Calculus and Hypergeometric Functions in Complex Analysis" has resulted in the publication of articles covering a wide range of topics. For example, the powerful and prolific tools provided by fractional calculus are combined with hypergeometric functions,...

Advances in computational solid and fluid mechanics have led to significant developments in a large variety of fields, including engineering, physics, and medicine. Computational mechanics offers design flexibility, sophistication, and experimentation, enabling engineers to analyse complex design problems and optimisation solutions efficiently at reduced...

"Theory of Functions and Applications" published the latest results in the field of theory of functions, in particular, the theory of functions of a real variable, the theory of approximations, the theory of functions of a complex variable, and the theory of entire and...

This Special Issue of the journal Axioms pays tribute to Professor Hong-Kun Xu's significant contributions and details recent important advances in theory, methods, and applications of nonlinear analysis, optimization theory, fixed point theory, and algorithms for nonlinear problems. It comprises original, creative, and high-quality...

Over the last few decades, numerical simulation has become a critical tool in addressing scientific and engineering complexities, propelled by advancements in computing technology and computational methods. This Special Issue compiles cutting-edge research on mathematical simulation and computational techniques, emphasizing innovative algorithms and their...

The aim of this reprint is to present the current state of knowledge in the broad unmanned aerial vehicles (UAVs) discipline. With the rapid development of new applications and simulation methods, UAVs can now operate in a wide range of environmental conditions, thus extending...

The present reprint contains articles accepted and published in the Special Issue "Submanifolds in Metric Manifolds" of the MDPI journal Mathematics; said articles cover a wide range of topics connected to the theory and applications of the geometry of manifolds and their submanifolds, alongside...

This Special Issue on cryptography and information security presents a diverse range of contributions, offering valuable insights into various facets of the field. The topics covered include surveying physical unclonable functions for authentication, communication protocols, challenges, and applications of Internet of Things security. Additionally,...

As data systems become more effective, more and more mathematical approaches have been applied to real-world applications to achieve exceptional outcomes. Fractional approaches (such as fractional calculus, fractional Fourier analysis, and the linear canonical transform) are gaining importance in the area of mathematics and...

The rise of big data has significantly elevated the significance of data science, catalyzing extensive research across multiple fields, including mathematics, statistics, computer science, and artificial intelligence. Data science encompasses modeling, computation, and learning processes to transform data into information, information into knowledge, and...

This reprint contains a total of 10 articles accepted and published in the Special Issue "Application of Mathematics for Modeling Industrial Innovative Systems and Processes" of the MDPI Mathematics journal. This Special Issue covers a wide range of topics in the field of innovative...

This reprint of this Special Issue of Mathematics presents recent research within the field of discrete optimization and scheduling. The subjects addressed in the ten research papers cover a broad spectrum of optimization algorithms, e.g., papers dealing with nature-inspired algorithms, routing problems in plane...

Water, vital for life, confronts unprecedented challenges in aquatic ecosystems due to factors like scarcity and pollution. Monitoring at local to global scales is vital for effective management, aligning with sustainable development goals. To address these challenges, the integration of remote sensing technologies with...

William I. Grosky (or Bill for friends) passed away recently. He received his B.Sc. in Mathematics from MIT in 1965, his M.Sc. in Applied Mathematics from Brown University in 1968, and his Ph.D. from Yale University in 1971. William was a Professor and Chair...

It is well known that the roles and consequences of symmetry in mathematics and related sciences are very important. In this reprint, we aim to establish some theoretical results (and their applications) in the fields of mathematical and functional analyses, in which the concept...

Mathematical models constitute a fundamental tool for the understanding of physical phenomena, biological systems, and finance and engineering. In addition to theoretical aspects, simulations play a primary role in applications because they allow for the prediction of the behavior of quantities of interest. The...

This reprint contains the scientific contributions from a Special Issue dedicated to multi-agent system analysis and optimization from a broad perspective (including branches potentially applicable in multi-agent systems).Author: Agostino PoggiISBN-10: 3725805261ISBN-13: 9783725805266Publisher: Mdpi AGLanguage: EnglishPublished: 03/26/2024Pages: 238Format: HardcoverWeight: 1.57lbsSize: 9.61h x 6.69w x 0.81d

This reprint explores the intersection of technology and sustainability in urban spaces. It compiles pioneering research that addresses the United Nations' Sustainable Development Goals through the lens of smart technology. Covering topics from AI and big data to participatory governance and green AI, this...

Many real-world problems in science and engineering, including physical, biological, and social phenomena, can be mathematically formulated and rigorously solved by modeling them in linear and nonlinear differential and partial differential equations. This Special Issue titled "Differential Equations and Asymptotic Analysis: Recent Advances and...

Machine Learning (ML)-based Artificial Intelligence (AI) algorithms have the capability to learn from known examples, creating various abstract representations and models. When applied to unfamiliar examples, these algorithms can perform a range of tasks, including classification, regression, and forecasting, to name a few.Frequently, these...

This reprint encompasses articles that were accepted and published as part of the Special Issue entitled "Advanced Mathematical Modeling and Numerical Solutions in Applied Mechanics and Engineering." This Special Issue delves into the theory and application of mathematical models across various disciplines. We hope...

Although it is considerably infeasible to make further contributions to the field of mechanics, the spectacular evolution of technology and numerical calculation techniques has played a significant role in the reconsideration of this opinion and in the development of an increasing number of sophisticated...

Natural language processing (NLP) is a crucial technology in use today, particularly due to the vast and increasing amount of online text that requires comprehension to fully realize its value. Human language technology (HLT) poses a significant challenge for computing, with it requiring advanced...

The present reprint contains the articles accepted and published in the Special Issue "Polynomial Sequences and Their Applications" of the MDPI journal Mathematics. This reprint aims to present, albeit partially, the state of the art on the theory and application of polynomial sequences. Polynomials...

This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, and machine learning models; undertakes critical comparisons...

In the rapidly evolving landscape of nonlinear control systems, this reprint stands as a beacon of knowledge, showcasing the remarkable progress made over the last few decades. With a focus on design methodologies and their applications, this text employs various mathematical tools to address...

In today's era of rapid digitization and information technology advancement, web searching and web data mining stand at the core of the technological progress of numerous web-based applications, serving as the main methods of extracting valuable information from large amounts of network data. The...

Solar photovoltaic (PV) systems are pivotal and transformative technologies at the forefront of the global shift toward sustainable energy solutions. The primary challenge in solar energy production lies in the volatility and intermittency of PV system power generation, primarily due to unpredictable weather conditions....

Exploring the celestial expanse of optimization and its transformative applications, our featured reprint comprises a compilation that delves into the heart of optimization, unraveling the convergence of theory and practice across various domains.Author: Siamak PedrammehrISBN-10: 372580138XISBN-13: 9783725801381Publisher: Mdpi AGLanguage: EnglishPublished: 02/09/2024Pages: 218Format: HardcoverWeight: 1.48lbsSize:...

Information science has long been a complex and interdisciplinary field. Recent developments in applied mathematics have been employed to construct proper solutions in related fields. In this Special Issue, we deal with research developments in various areas of applied mathematics and/or the application of...

This Reprint comprises all of the accepted articles published as part of the Special Issue "Mathematical Methods and Applications for Artificial Intelligence and Computer Vision". The aim of this Special Issue was to publish recent theoretical and applied studies in computational intelligence and related...

Special Issue "Experimentation in 5G and beyond Networks: State of the Art and the Way Forward" collected original contributions on experimental aspects related to 5th Generation (5G) and Beyond-5G (B5G) networks and systems.Ten high-quality papers were accepted to appear in this Special Issue, covering...

The Fourth Industrial Revolution is radically reshaping educational spaces. Robotics, the Internet of Things (IoT), Web3, blockchain, quantum computing, but specially artificial intelligence are transforming the way to teach and learn.This book aims to conduct an in-depth study of the impact of the digital...

No detailed description available for "A Framework of Software Measurement".Author: Horst ZuseISBN-10: 3110155877ISBN-13: 9783110155877Publisher: de GruyterLanguage: EnglishPublished: 01/12/1998Pages: 784Format: HardcoverWeight: 2.80lbsSize: 9.21h x 6.14w x 1.63d

Although tremendous advances have been made in recent years, many real-world problems still cannot be solved by machines alone. Hence, the integration of Human Intelligence and Artificial Intelligence is needed. However, several challenges make this integration complex. The aim of this Special Issue was...

Mathematical problems in the aerospace industry deeply affect the development of many related fields, such as aerodynamics, astrodynamics, deep space exploration, space environment, manned space flight, space traffic management, etc. As a result, these challenges have together become a hotbed of research and have...

The Special Issue entitled "Data Mining and Machine Learning with Applications" aimed to connect researchers in the fields of deep learning, artificial intelligence, data mining, and machine learning. Included within this reprint are all the accepted articles that were published in the Special Issue....

Biomedical imaging is a broad and crucial field, encompassing various techniques for capturing images that have diagnostic and therapeutic applications. These are pivotal in early disease detection, treatment planning, monitoring treatment effectiveness, and advancing our understanding of human physiology and pathology. The widespread use...

The research field of data analysis and mining has attracted the interest of both academia and industry in recent years. This reprint contains 17 papers, which cover different topics of the broad research field of data analysis and mining. Each paper presents new data...

The present reprint encompasses all the articles that have been accepted and published in the Special Issue entitled "Probability, Stochastic Processes and Optimization". In applied research, Probability Theory is usually regarded as a distant, often-neglected relative of Statistics. This Special Issue attempted to rectify...

The relationship between individuality and aggregation is an important topic in Complex Systems Science, as both aspects are facets of emergence. This problem has generally been addressed by adopting a classical individual- versus population-level approach, in which boundaries emerge in segregated communities. More specifically,...

Numerical analysis and computer simulations are becoming increasingly important in modeling of new sources and methods of harvesting, transforming and storing energy from its renewable sources. A similar trend is also observed in relation to environmental impacts on people and the buildings in which...