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The present reprint contains the 11 papers that were accepted and published in the Special Issue “Applied and Computational Mathematics for Digital Environments” of the MDPI Mathematics journal. The topics of interest include, among others, scientific research, applied tasks, and problems in the following areas: The construction of mathematical and information models of intelligent computer systems for monitoring and controlling the parameters of digital environments; The development of intelligent optimization algorithms that search for optimal parameter values of mathematical and information models in digital environments; Software and mathematical technologies in the implementation of intelligent monitoring and computer control of the parameters of digital environments; The development and application of mathematical and information models, machine learning methods, and artificial intelligence for the analysis and processing of big data in digital environments. I hope that this

Robotic control is a system that contributes to the movement of robots. Robotics can be controlled in various ways, such as via manual control, wireless control, semi-autonomously (a mix of fully automatic and wireless control), and fully autonomously (using AI to control movement alone, with the potential option of using manual control). As technological advancements progress, robots and the methods of their control continue to develop and advance. This Special Issue features a collection of 11 excellent research papers published in Actuators, showcasing and discussing new advances in actuators and mechatronic systems for robotics.

This Special Issue highlights the growing importance of intelligent data analysis and its profound applications in addressing the challenges of the big data era. As a key driver of innovation and progress across diverse sectors, intelligent data analysis requires robust research and implementation to derive actionable insights from vast, complex datasets. By fostering advancements in various industries, this field plays a vital role in meeting the dynamic demands of modern data-centric environments. The aim of this Special Issue is to delve into cutting-edge developments in intelligent data analysis and their applications. Topics span a broad spectrum, including advanced data mining algorithms, machine learning integration, natural language processing innovations, granular computing frameworks, cognitive computing techniques, and hybrid approaches. This initiative seeks to provide insights into the academic growth of the field while enabling research and industry to adopt transformative solutions that shape its future trajectory. Scholarly and professional contributions have enriched intelligent data analysis, covering domains such as machine learning, data mining, social network analysis, machine vision, and hybrid computational paradigms. Building on the inaugural volume's success, this Special Issue consolidates recent developments with a focus on real-world applications, encompassing sectors like finance, healthcare, business intelligence, engineering, and environmental science.

Drones have considerably evolved in the last two decades across the air, ground and marine domains, with an increased emphasis on their safety, autonomy and performance. In the UK, advancing drone autonomy for commercial aerial vehicles was the main focus of a policy paper jointly developed by the UK government and the sector. More generally, recent research is increasingly focused on the challenges associated with vehicle motion planning, navigation and control to perform increasingly demanding tasks in challenging environments. Recent advances in artificial intelligence, including deep and reinforcement learning present new opportunities in this field but concerns remain due to the need to ensure safety with trustworthy and explainable solutions. This Reprint presents some of the latest advances in path planning, navigation and control for autonomous ground, aerial and marine vehicles in challenging or uncertain environments.

The Special Issue "Computational Intelligence Application in Electrical Engineering" deals with the application of computational intelligence techniques in various areas of electrical engineering. The topics of computational intelligence applications in smart power grid optimization, power distribution system protection, and electrical machine design and control optimization are presented in the Special Issue. The co-simulation approach to metaheuristic optimization methods and simulation tools for a power system analysis are also presented. The main computational intelligence techniques, evolutionary optimization, fuzzy inference system, and an artificial neural network are used in the research presented in the Special Issue. The articles published in this issue present the recent trends in computational intelligence applications in the areas of electrical engineering. Related Books Applications of Computational Intelligence to Power Systems Engineering Computational Intelligence i

The following Special Issue examines the rapid evolution of the NFT art market, tracing its trajectory from an experiment to a global phenomenon. The sale of Beeple’s “Everydays—The First 5000 Days” for over USD 69 million at Christie’s online auction in 2021 marked a watershed moment, catapulting NFT art into the mainstream. While the market experienced significant growth driven by high-profile sales and investor interest, it also faced some challenges, including volatility and environmental concerns. This collection of works explores the key drivers of the transformative journey of the NFT art market in the post-COVID era, analyzing the economic, cultural, and legal factors that have contributed to its rise and various challenges that lie ahead for this emerging art market niche.

This is a reprint of the Special Issue on “Sensors and Advanced Sensing Techniques for Computer Vision Applications” aims to address many topics related to the challenging problems of computer vision and pattern recognition in conjunction with the emerging field of deep learning and remote sensing. As a result of the open call for papers, papers related to deep learning, neural networks, and soft computing have been accepted after a rigorous peer review process and assessed for their technical merit and relevance. The featured articles cover applications in the following fields: Deep learning for 2D/3D object recognition and classification; Autonomous navigation and robotic agents; Data augmentation in computer vision; Image fusion, segmentation, and classification from different sensors; Parallel Machine Learning; Photogrammetry and 3D point clouds; Multidisciplinary applications of deep learning, pattern recognition, and computer vision for driving assisting systems and aircraft industry.This reprint could serve as a valuable handbook for engineers being able to work on interdisciplinary topics and integrate technologies that eventually converge.

A combination of dry lab bioinformatic analyses and wet lab molecular experiments seems to be a major trend for biological studies. The authors of the papers included in this reprint tried to elucidate the linkage between environmental stress and molecular response, and the species investigated in each of the articles are phylogenetically and agriculturally diverse. These exemplar studies will potentially ignite more ideas and biological stories to investigate gene functions. Related Books Genetics and Evolution of Abiotic Stress Tolerance in Plants Biology & Life Sciences Molecular Mechanisms in Plant Stress Tolerance Biology & Life Sciences Abiotic Stress of Crops Biology & Life Sciences Exploring Abiotic Stress in Plants Biology & Life Sciences ‘Omics’ and ‘Multi-Omics’ Insights into Plant Responses to Abiotic Stresses Biology & Life Sciences The recommendations have been generated using an AI system. About: About MDPI Books Advisory Board Legal Information: MDPI Privacy Pol

This Reprint brings together nine cutting-edge contributions (mainly extended papers from the 5th IFSA Winter Conference on Automation, Robotics & Communications for Industry 4.0/5.0 (ARCI' 2025)) addressing intelligent industrial systems, robotics, and machine learning applications for next-generation manufacturing. The articles cover advances in autonomous navigation for ground and aerial robots, social and collaborative human–robot interaction frameworks, and reinforcement-learning strategies for dual-arm assembly and dexterous manipulation in clutter. Further studies explore online anomaly detection at the edge, predictive-maintenance digital twins, privacy-preserving energy-prediction models, and emerging robotic applications in sports engineering. Together, these works highlight the rapid evolution of AI-driven automation and demonstrate how robotics, sensing, and data-centric methods are reshaping industrial environments toward safer, more adaptive, and more efficient operations.

This Special Issue of Applied Sciences focuses on innovative methods and applications in data management and analytics, addressing the challenges posed by the growing volume, velocity, and variety of data in today's world. This Issue highlights advancements in big data processing, data mining, AI-driven database systems, graph data analysis, and spatial–temporal data management, among other key areas.

In recent years, we have been witnessing the exponential proliferation of the Internet of Things (IoT), networks of physical devices, vehicles, appliances and other items embedded with electronics, software, sensors, actuators and connectivity that enables these objects to connect and exchange data. Enabling the introduction of highly efficient IoT, wireless sensing and network technologies will reduce the need for traditional processes that are currently be carried out manually, thus freeing up the precious resources of dwindling working staff, to do more meaningful and human-centered work. This reprint aims to bring together innovative developments in areas related to IoT, wireless sensing and networking. The aspects covered include software-defined network (SDN)-based IoT networks, artificial intelligence (AI) for IoT, industrial IoT, smart sensors, optimization of energy efficiency for IoT, and wireless sensor networks, IoT applications for agriculture, smart cities, healthcare,

Artificial intelligence (AI) and computer vision (CV) are increasingly applied in smart agriculture, offering significant potential to enhance farming efficiency, reduce manual labor, and lower production costs. In livestock farming, CV and AI enable behavior monitoring to improve animal health and welfare. In crop production, they support phenotype extraction, plant organ detection, and pest management. This Special Issue (Volume 2) presents original research and reviews on topics such as agricultural sensor optimization, livestock behavior recognition, AI-based automation, agricultural robotics, and big data analytics in farming.

The main topic of this book is Screen-Printed Electrode (SPE) transducers used as miniaturized and disposable detection devices for specific chemical (or set of chemicals) and biomolecule analyses in different fields with serious concerns worldwide (such as healthcare, food quality, food safety, and pollution). Thus, this book gathered original articles and reviews presenting research advances, fabrication, innovative applications, new challenges, and future perspectives for SPE-based (Bio)sensors in important areas such as health, agri-foods, and the environment.Screen-printing is a promising method for “fast and cheap” production of (bio)sensors. Disposable (bio)sensors based on SPEs have led to new possibilities in the selective detection and sensitive quantification of a large number of chemicals and biomolecules. SPE-based sensors, including microelectrodes (metallic and non-metallic) and modified electrodes (by chemical/electrochemical reactions or by nanomaterials integration)

Artificial intelligence and big data applications are present in almost every corner of life. This reprint of the Special Issue entitled “Artificial Intelligence and Big Data Applications” contains a wide range of works with comprehensive information on image processing, natural language processing, computer vision, sentiment analysis, voice and gesture analysis, and other topics in the field. The latest works in multidisciplinary applications such as legal, healthcare, smart society, cyber–physical systems, and smart agriculture, among others, are also included. This compilation will spark the interest of researchers in the aforementioned fields and will serve as a knowledge base for further research in the future. Related Books Biomedical Application of Big Data and Artificial Intelligence Computer Science & Mathematics Big Data and Artificial Intelligence Public Health & Healthcare ... Big Data and Artificial Intelligence Public Health & Healthcare ... Big Data and Artificial Int

This book presents the papers accepted to the Special Issue of the journal Sensors on "Sensors for Fire and Smoke Monitoring". The ten contributions to this book present a unique cross-section of current research priorities related to fire and smoke sensing in the scientific community. Although far from a complete survey, the articles presented demonstrate a growing interest in the use of remote sensing for wildfire research and monitoring, and the pursuit of new technologies for the detection and characterization of smoke, fire and their by-products. Notably, there is a strong interest in processing techniques for extracting increasingly complex products from existing data types. The papers presented provide an accurate reflection of the present focus of our field and provide a balanced introduction to the topic of sensors for fire and smoke monitoring. Related Books Sensor Technology for Smart Homes Engineering Smart Sensing Technologies for Agriculture Biology & Life Sciences ...

The present reprint contains five articles accepted and published in the Special Issue “Logic and Computation 2023” of the MDPI “Mathematics” journal, covering several topics on computing science based on some form of logic. These topics include the model theory for formal logic-based formal specification and programming, logic mining and logic for games. It is hoped that the reprint will be interesting and useful for those working in the area of applying logic to computing. Related Books Fuzzy Logic and Computational Intelligence Computer Science & Mathematics Fuzzy Logic and Soft Computing – Dedicated to the Centenary of the Birth of Lotfi A. Zadeh (1921-2017) Computer Science & Mathematics Fuzzy Sets, Fuzzy Logic and Their Applications 2021 Computer Science & Mathematics 10th Anniversary of Axioms: Logic Computer Science & Mathematics Advances in Computational Mathematics and Applied Mathematics Computer Science & Mathematics The recommendations have been generated using an AI s

The present book contains all the articles accepted and published in the Special Issue “Advances in Artificial Intelligence: Models, Optimization, and Machine Learning” of the MDPI Mathematics journal, which covers a wide range of topics connected to the theory and applications of artificial intelligence and its subfields. These topics include, among others, deep learning and classic machine learning algorithms, neural modelling, architectures and learning algorithms, biologically inspired optimization algorithms, algorithms for autonomous driving, probabilistic models and Bayesian reasoning, intelligent agents and multiagent systems. We hope that the scientific results presented in this book will serve as valuable sources of documentation and inspiration for anyone willing to pursue research in artificial intelligence, machine learning and their widespread applications. Related Books Advances in Artificial Intelligence Computer Science & Mathematics Computational Optimizations for

Following on from the Special Issue “Recent Advances and Contribution of Synthetic Aperture Radar (SAR) Applications for Agricultural Monitoring”, we concluded that SAR has now become a pivotal sensor for agricultural monitoring. In this Special Issue, you will find a variety of background material discussing SAR and its applications. Several papers focused on using machine learning approaches with SAR to monitor crop stages and classify crops, while others focused on the polarimetric mode to estimate crop height. Going forward, we hope that you will find this Special Issue to be a useful reference. Related Books Precision Agriculture and Crop Monitoring Based on Remote Sensing Methods Environmental & Earth Sciences Advances in SAR: Sensors, Methodologies, and Applications Environmental & Earth Sciences Remote Sensing in Agriculture: State-of-the-Art Environmental & Earth Sciences ... New Insights in Crop Monitoring and Management Using Remote Sensing Data Biology & Life Sciences ..

The rapid advancement of deep learning technology has brought about transformative breakthroughs in perception and recognition systems across a wide range of applications. In addition to driving innovation in industrial sectors, it has opened up significant opportunities in fields such as intelligent transportation, smart cities, healthcare, and robotics. Deep learning significantly enhances the accuracy and robustness of perception and recognition systems through hierarchical feature extraction in multilayer neural networks, achieving remarkable results in areas such as soft sensing, image classification, natural language processing, and object detection. By training on large volumes of labeled data, deep learning algorithms are able to automatically learn complex feature representations and efficiently recognize objects during the perception process. As application scenarios grow more complex and data become increasingly diverse, deep learning models continue to face significant challenges in solving real-world perception and recognition problems. These challenges include ensuring model generalization when dealing with noisy, imbalanced, or limited data; enhancing performance through self-supervised, few-shot, or transfer learning in cases of insufficient labeled data; integrating information across different scales, dimensions, and modalities.

This reprint of a Special Issue of Mathematics presents recent research on the theory and applications of optimization. The subjects that are addressed in the ten research papers cover a broad spectrum of optimization algorithms, such as unconstrained optimization, non-convex optimization, multi-objective optimization, graph theory, or flow shop scheduling.

This Reprint, titled "Blockchain Technology—A Breakthrough Innovation for Modern Industries", provides an insightful exploration of how blockchain is revolutionizing industries by enhancing transparency, security, and efficiency. This collection comprises cutting-edge research and comprehensive reviews that address the challenges and opportunities blockchain presents across diverse sectors. The articles delve into theoretical advancements, innovative methodologies, and real-world applications of blockchain technology. Key themes include enhancing supply chain traceability, integrating blockchain with other advanced technologies like IoT and AI, securing financial transactions, and addressing cybersecurity threats in critical infrastructures. These contributions demonstrate blockchain's potential to drive sustainable development and foster innovation while tackling pressing industry challenges, such as scalability, interoperability, and regulatory compliance. Curated by guest editors involved in the W.E. B.E.S.T. (blockchain and smart contracts for the enhancement of the made in Italy excellence supply chains) project, this Reprint bridges academic research with practical insights, offering value to researchers, industry professionals, and policymakers alike.

This Special Issue reprint represents a collection of high-quality reviews and original research articles published in 2026 by Advisory Board Members, Editors-in-Chief, Editorial Board Members, Guest Editors, Topical Advisory Panel Members, Reviewer Board Members, Societies, Authors, and Reviewers from Sensors, in addition to outstanding editorials by high-profile scholars in the sensors field.

This Reprint, based on the Special Issue “Feature Papers for "Land Innovations—Data and Machine Learning" Section: 3rd Edition”, makes valuable contributions relating to spatial data science for obtaining, processing, analyzing, harnessing, and visualizing social, economic, environmental, and other land-related data. In particular, this Reprint presents geospatial artificial intelligence and machine learning techniques for dealing with spatial big data, including remotely sensed and social media data. The publications included are theoretical, applied, or review articles; interdisciplinary studies are also featured.

Climate change has increased the harmful effects of abiotic factors such as drought, salinity, and extreme temperatures, which are the main causes of the decrease in crop yields and food production worldwide. The Special Issue, “Molecular Mechanisms Associated with Plant Tolerance upon Abiotic Stress – 2nd Edition”, contains 10 papers that explore the impact of environmental stresses and tolerance mechanisms in plants. Understanding the molecular mechanisms underlying plant tolerance of abiotic stress is important for improving plant growth and agricultural productivity in the face of climate change. The papers in this Special Issue identify key stress response genes, transcription factors, and metabolic pathways, which are important for developing tolerant crop varieties; they also make clear that agricultural biostimulants play a key role in mitigating environmental stresses such as drought, salinity, high temperatures, and heavy-metal toxicity. The studies in this Special Issue enhance the field’s understanding of stress tolerance mechanisms and support agricultural sustainability.