Computers - Computer Science

This Reprint of a Special Issue on "Adaptive and Nonlinear Control of Robotics" brings together nine original research contributions exploring state-of-the-art control strategies for robotic systems operating under nonlinear dynamics, uncertain parameters, reconfiguration, or complex physical constraints. The platforms considered in this work-including cable-driven...

This Reprint brings together several valuable papers published in the Special Issue Principles of Variational Methods in Mathematical Physics of the prestigious journal Axioms. It presents a collection of articles and reviews centered on major themes such as the fundamental principles of variational methods,...

This Reprint brings together recent research on the sustainability of machine learning across critical domains. As AI and smart systems grow, vast data and complex decision-making raise concerns around reliability, efficiency, security, privacy, and societal impact. Contributions examine sustainability from both theoretical and practical...

This Reprint presents a collection of cutting-edge research and review articles focusing on the integration of machine learning and deep learning theories for intelligent fault diagnosis in industrial and engineering systems. With the rapid advancement of computational intelligence, data-driven fault diagnosis has become a...

This Reprint presents a carefully curated collection of peer-reviewed, open access articles from the Electronics Special Issue "Security Challenges and Opportunities of Artificial Intelligence/Big Data Scenarios", capturing state-of-the-art research at the intersection of artificial intelligence, big data analytics, cybersecurity, privacy engineering, and trustworthy intelligent...

This Reprint features nine peer-reviewed open-access articles from Electronics' special issue on the interdisciplinary synergy of artificial intelligence, computer vision, and 3D display technologies, curated by leading experts in holography, AI, 3D imaging and optical signal processing. It advances theoretical and practical applications across...

This Reprint compiles cutting-edge research from the Special Issue "Symmetry/Asymmetry in Computer-Aided Industrial Design," offering fresh perspectives on how balanced and unbalanced design principles shape user experience, functionality, and innovation. Far beyond mere visual aesthetics, symmetry and asymmetry are examined as dynamic forces influencing...

This Reprint presents a curated selection of innovative articles from Cancers, published in the Special Issue "Application of Biostatistics in Cancer Research". It highlights advanced biostatistical and computational methods addressing key challenges in modern oncology, including robust clinical trial design and interpretation, reliable inference...

This Reprint brings together fifteen contributions showcasing recent advances in autonomous systems and artificial intelligence. The collected studies highlight progress in robotics, perception, machine learning, sensor fusion, human-machine interaction, optimization, and data-driven control. The papers cover a wide range of applications, from mobile and...

Vibration and acoustics are pervasive in both natural and industrial environments, ranging from ocean waves and flutter to pipeline vibration, wind-induced vibration, jet noise, and underwater noise. The control and utilization of vibro-acoustics have emerged as a promising field in modern industry, providing critical...

This Reprint contains all of the articles that were accepted and published in the Special Issue of Mathematics titled "Modeling and Optimization of Complex Engineering Systems under Uncertainties". It offers a comprehensive overview of the current state of the art in reliability engineering and...

Every encrypted transaction your organization relies on today - every financial transfer, patient record, classified message, and identity verification - rests on mathematical assumptions that a sufficiently powerful quantum computer will break. As your manuscript warns, "Every encrypted message your organization sent today rests...

This Reprint presents a curated collection of peer reviewed articles from the Special Issue Advanced Topology Optimization: Methods and Applications published in the journal Computation. It provides an up-to-date overview of recent progress in topology optimization, a computational design methodology that determines optimal material...

Marine geotechnical engineering has evolved rapidly in recent years, driven by growing demands for offshore energy, coastal protection, and seabed infrastructure. Key advances include improved site investigation methods, including using high-resolution in situ testing, remote sensing, geophysical surveys, and 3D spatial statistical modelling (e.g.,...

Remote sensing imaging captures electromagnetic radiation across various wavelengths, producing multimodal images with rich information. Consequently, remote sensing images have a wide range of applications in Earth observation, including environmental monitoring, agriculture, urban planning, and geological exploration. The development of artificial intelligence (AI) presents...

This Reprint brings together recent advances in uncertainty-aware decision making, highlighting how entropy-based methods, fuzzy and rough set formalisms, cloud-model reasoning, and distributed learning architectures are reshaping analytical practice across scientific and technical domains. The collected contributions illustrate a clear shift toward integrated uncertainty...

Recognising or monitoring human activities has significant potential for building innovative systems across a wide range of domains, including healthcare, smart home, sports, industry, security, and human-computer interaction. This reprint features nine of the latest studies on sensor-based Human Activity Recognition (HAR), which aims...

The advent of smart agriculture marks a paradigm shift from experience-driven to data-driven decision-making, fundamentally reshaping centuries-old farming practices. At the heart of this transformation lies the synergistic integration of optical sensors and deep learning (DL) technologies. Modern optical sensors range from cost-effective RGB...

The Reprint titled "Deep Learning in Video and Image Processing Challenges Solutions and Future Directions" presents a comprehensive collection of high-quality research addressing the growing demand for intelligent visual systems operating in real time. This Reprint focuses on the practical deployment of deep learning...

The Special Issue "Numerical Optimization and Algorithms (3rd Edition)", hosted by the MDPI journal Algorithms, provides a crucial forum for the latest advancements in computational mathematics. As science and engineering problems grow increasingly complex, this edition focuses on the urgent need for robust solvers...

This book presents a comprehensive collection of peer-reviewed articles accepted and published in the Special Issue "Polynomials: Theory and Applications, 2nd Edition" of the MDPI journal Mathematics. The volume reflects the central role of polynomial theory in modern mathematical research and its growing impact...

The integration of optical sensors and machine learning (ML) technologies has transformed agricultural monitoring, delivering precise, real-time insights into crop health, growth patterns, and environmental interactions. These sensors-spanning multispectral, hyperspectral, and RGB cameras-capture intricate spectral signatures that detect subtle physiological shifts in crops. When...

The present Reprint contains all 13 articles accepted and published in the Special Issue "Data Mining and Machine Learning in the Era of Big Knowledge and Large Models, 2026" of the MDPI Mathematics journal, which covers a wide range of topics connected to the...

This Reprint contains eight articles that have been accepted and published in the Special Issue "Mathematical and Statistical Methods and Their Applications, 2nd Edition". The collected papers cover a wide range of topics concerning the development, analysis, and application of modern mathematical and statistical...

This Reprint collects recent advances in statistical simulation and computing, highlighting their central role in modern statistical methodology and data driven research. Simulation-based approaches provide flexible and powerful tools for analyzing complex systems characterized by high dimensionality, stochastic behavior, and computational constraints that limit...

This Topic is a continuation of the previous successful Topic, "3D Computer Vision and Smart Building and City". Three-dimensional computer vision is an interdisciplinary subject involving computer vision, computer graphics, artificial intelligence and other fields. Its main contents include 3D perception, 3D understanding and...

Renewable energies are currently emerging as the most promising technologies for mitigating severe environmental impacts, contributing to the achievement of global sustainability goals. Offshore renewables, such as offshore wind and wave energy, are some of the most promising candidates for accomplishing environmental objectives, and...

Improving human health and providing access to high-quality healthcare for everyone is a global concern. Modern technologies help to promote and maintain health, while avoiding unnecessary disabilities and premature health issues. Machine learning is a subfield of artificial intelligence, which is mainly defined as...

This Reprint brings together a curated selection of peer-reviewed articles published within the Topical Collection on multimedia-based digital learning in the journal Digital. The collection addresses recent advances in the design, implementation, and evaluation of digital learning environments that leverage multimedia technologies to enhance...

Complex systems are unified wholes formed by many interacting units. One key source of their complexity lies in the intricate entanglement of causal structures. A notable feature of these systems is the phenomenon of emergent causality, where stronger causal relationships may arise at the...

This Reprint presents eight papers from the Special Issue "Emerging Distributed and Parallel Computing Systems" that span the core system challenges where computation, networking, and trust meet. Two contributions develop lightweight authentication and key agreement schemes for distributed wireless sensor networks and for the...

Provides a comprehensive introduction to the history, theories, and practices of digital humanities. Explores digital tools and methods including text mining, data visualization, GIS mapping, and cultural analytics. Demonstrates applications of digital humanities in literature, history, linguistics, cultural heritage, and the arts. Discusses critical...

Foundational Framework: Provides a clear introduction to the concepts, methods, and philosophy of evidence-based software engineering. Research Methodology Focus: Explains systematic reviews, controlled experiments, case studies, and data-driven evaluation techniques used in empirical SE research. Application-Oriented Examples: Includes real project scenarios demonstrating how evidence...

This book presents a clear and comprehensive exploration of statistical reasoning suited for contemporary learners and analysts. It offers an integrated treatment of classical statistical foundations and emerging data science methodologies, enabling readers to understand both established principles and modern innovations. The content emphasizes...

Earthquake time series are complex due to the variety of forces affecting earthquake generation, the complexity of the Earth's crust and mantle structure, where the earthquake source develops, and the complexity of the earthquake development process in space (generation of elementary cracks, their multiplication...

Foundational Overview: Introduces the core concepts, history, and evolution of cyber diplomacy and global digital governance. Policy and Legal Dimensions: Examines international law, cyber norms, treaties, digital rights, and multilateral policy frameworks guiding state behavior online. Cybersecurity and Conflict: Explores cyber threats, state-sponsored attacks,...

Comprehensive coverage of multilingual NLP and machine learning techniques: Detailed explanation of core algorithms, models, and architectures used for processing multiple languages, including challenges associated with syntax, semantics, and morphology across different linguistic families. In-depth discussion of multilingual embeddings and cross-lingual models: Exploration of...

Encompassing fields such as information retrieval, extraction, classification, summarization and understanding, text mining has become indispensable across diverse application domains. Methodological advances span rule-based systems, statistical approaches, support vector machines, clustering, neural networks and most recently, deep learning, with distance and similarity estimation persisting...

Detailed coverage of classical and modern cryptographic algorithms, including symmetric, asymmetric, and hash-based techniques. Comprehensive explanation of key distribution, authentication protocols, and digital signatures. In-depth discussion of network security architectures, firewalls, intrusion detection systems, and security mechanisms. Exploration of emerging areas such as post-quantum...

Comprehensive coverage of AI governance principles, policies, and frameworks. Exploration of ethical, legal, and societal challenges in AI deployment. Analysis of global strategies, national policies, and industry standards. Practical guidance for auditing, monitoring, and managing AI risks. Discussion of emerging technologies, including generative AI...

Explores the foundations of AI technologies-machine learning, deep learning, computer vision, and natural language processing-tailored to diagnostic applications. Highlights AI's transformative role in medical imaging, pathology, genomics, cardiology, and dermatology. Examines case studies where AI tools enhance accuracy, efficiency, and early detection in clinical...

Introduces the fundamental concepts of explainable and interpretable AI. Provides a clear distinction between black-box, glass-box, and hybrid AI models. Covers popular XAI techniques, including feature importance, LIME, SHAP, counterfactuals, and surrogate models. Examines applications of XAI across healthcare, finance, agriculture, governance, cybersecurity, and...

This Reprint contains all of the articles accepted and published in the Special Issue titled "Big Data Mining and Analytics with Applications" in the journal Mathematics. It compiles 10 papers related to span predictive modeling for spatiotemporal data (e.g., traffic, air quality, crowd flow),...

This reprint showcases recent advances in swarm intelligence (SI) and evolutionary computation (EC), emphasising their capacity to address complex, data-intensive, and noise-prone real-world problems where conventional methods often fall short. The collected works highlight how the self-organising and adaptive nature of SI and EC...

This reprint compiles the nine articles from the Special Issue "Applied Mathematics to Mechanisms and Machines II" of the MDPI Mathematics journal, specifically from its "Engineering Mathematics" section. The articles, while diverse in their specific topics, uniformly focus on mechanisms as their object of...

This Special Issue Reprint compiles cutting-edge research on Unmanned Aerial Vehicles (UAVs), highlighting transformative advancements that broaden their capabilities across diverse sectors. Bringing together contributions from researchers, practitioners, and industry experts, this collection fosters interdisciplinary dialogue while delivering rigorous peer-reviewed insights into UAV technology...

What do lasagna layers and neural networks have in common? More than you think.In this refreshingly original guide, Dr. John Giordani serves up machine learning concepts with a generous helping of Italian cooking wisdom. From al dente algorithms to the art of data preparation...

This Reprint contains all of the articles that were accepted and published in the Special Issue of Mathematics titled "Recent Advances in Finite Element Methods with Applications". This Special Issue aimed to collect recent advances in the construction, theoretical analysis, implementation, and application of...

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...

The Sodha Decree A Manifesto Against the MachineSubtitle A Judicial Verdict on the Future of Human Literature 2025-2030 bookThe Internet is dying Artificial Intelligence is suffocating the digital world with synthetic echoes Who will stand for the TruthIn an era defined by the Great...