Jan Platos – författare

Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization.

Introduces novel intelligent techniques needed to address environmental pollution for the well-being of the global environment Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to state-of-the-art methodologies surrounding the monitoring and mitigation of environmental pollution Puts forth insights on future generation intelligent pollution monitoring techniques

Multilevel Quantum Metaheuristics: Applications in Data Exploration explores the most recent advances in hybrid quantum-inspired algorithms. Combining principles of quantum mechanics with metaheuristic techniques for efficient data optimization, this book examines multilevel quantum systems characterized by qudits and higher-level quantum states as more robust alternatives to conventional bilevel quantum approaches. It introduces novel multilevel applications of quantum metaheuristics for addressing optimization problems in areas including function optimization, data analysis, scheduling, and signal processing. The book also showcases real-world examples, case studies, and contributions that emphasize the effectiveness of proposed multilevel techniques over existing bilevel methods. Researchers, professionals, and engineers working on intelligent computing, quantum computing, data processing, clustering, and analysis, and those interested in the synergies between quantum computing, metaheuristics, and multilevel quantum systems for enhanced data exploration and analysis will find this book to be of great value.Provides insights into the future of quantum-inspired optimization by covering recent trends and mathematical techniquesAdvances knowledge of evolving time-efficient hybrid quantum algorithms that leverage the processing capabilities of emerging qudit-based paradigmsPresents in-depth analysis of quantum mechanical principles with special reference to multilevel quantum states

The text provides an extensive discussion on hybrid intelligent techniques and their variants for application to environmental data-centric systems, often guided by a batch process. This book reviews the fundamental concepts of gathering, processing, and analyzing data from batch processes, followed by a review of intelligent tools and techniques that can be used in this direction. The book will also cover novel intelligent algorithms for the purpose of effective environmental pollution data management at par with the existing standards.This book:Introduces novel hybrid intelligent techniques needed to address environmental pollution for the well-being of the global environmentExamines the latest hybrid intelligent technologies and algorithms related to state-of-the-art methodologies for monitoring and mitigating environmental pollutionIntroduces techniques for the removal of heavy metals, phenol, azo, and non-azo dyes from industrial effluentsExplores green synthesis of nanofilters and their application to environmental data managementIllustrates the statistical prediction of nanoparticle levels for controlling vector population and Internet of Things-enabled hybrid intelligent environment managementIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, computer science and engineering, and environmental engineering.

AIEST is a leading conference focused on providing a platform to researchers, scholars, engineers, scientists and industrial professionals to gather knowledge and bridge the gap between academia and its industrial aspects, around the world. This conference will be an immersive experience primarily focusing on the latest advance□ments and researchers in various fields of engineering, including but not limited to Mechanical Engineering, Civil Engineering, Electrical Engineering, Electronics and Communications Engineering, Computer Science Engineering, Information Technology and other interdisciplinary areas. AIEST will cater to the transitional prac□tices where industrial knowledge would be conveyed to academia regarding real-time scenarios and practical findings, thus fostering collaboration and the development of innovative solutions to counter contemporary challenges in engineering and technology

AIEST is a leading conference focused on providing a platform to researchers, scholars, engineers, scientists and industrial professionals to gather knowledge and bridge the gap between academia and its industrial aspects, around the world. This conference will be an immersive experience primarily focusing on the latest advancements and researchers in various fields of engineering, including but not limited to Mechanical Engineering, Civil Engineering, Electrical Engineering, Electronics and Communications Engineering, Computer Science Engineering, Information Technology and other interdisciplinary areas. AIEST will cater to the transitional practices where industrial knowledge would be conveyed to academia regarding real-time scenarios and practical findings, thus fostering collaboration and the development of innovative solutions to counter contemporary challenges in engineering and technology.

The book explores important application areas like healthcare, smart cities, agriculture, education, and energy systems, offering workable solutions and creative use cases. It highlights how AI, ML, and IoT may boost data management, upgrade infrastructure, and open up new avenues for research and development.The book examines the transformative potential of AI, ML, and IoT in addressing practical issues. It takes a multidisciplinary approach, combining viewpoints from government, business, and academia to show how these technologies may promote sustainable development—a pressing issue of our day. This book, which features contributions from eminent academics, researchers, and business professionals, is an invaluable tool for comprehending how new technologies can promote social justice, economic advancement, and environmental sustainability, especially in light of India's developing digital ecosystem.The book will serve as a comprehensive resource for academics, researchers and professionals in the fields of computer science, education, environmental sustainability.

The book explores important application areas like healthcare, smart cities, agriculture, education, and energy systems, offering workable solutions and creative use cases. It highlights how AI, ML, and IoT may boost data management, upgrade infrastructure, and open up new avenues for research and development.The book examines the transformative potential of AI, ML, and IoT in addressing practical issues. It takes a multidisciplinary approach, combining viewpoints from government, business, and academia to show how these technologies may promote sustainable development—a pressing issue of our day. This book, which features contributions from eminent academics, researchers, and business professionals, is an invaluable tool for comprehending how new technologies can promote social justice, economic advancement, and environmental sustainability, especially in light of India's developing digital ecosystem.The book will serve as a comprehensive resource for academics, researchers and professionals in the fields of computer science, education, environmental sustainability.

This book gathers research papers presented at DoSIER 2025 (Seventh Doctoral Symposium on Intelligence Enabled Research, to be held at RCC Institute of Information Technology, Kolkata, West Bengal, India, from 21-22 November 2025). The papers will address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters will be written by experts in these areas; the book will offer a valuable reference guide for researchers and industrial practitioners and inspire future studies.

This two-volume-set (CCIS 188 and CCIS 189) constitutes the refereed proceedings of the International Conference on Digital Information Processing and Communications, ICDIPC 2011, held in Ostrava, Czech Republic, in July 2011. The 91 revised full papers of both volumes presented together with 4 invited talks were carefully reviewed and selected from 235 submissions. The papers are organized in topical sections on network security; Web applications; data mining; neural networks; distributed and parallel processing; biometrics technologies; e-learning; information ethics; image processing; information and data management; software engineering; data compression; networks; computer security; hardware and systems; multimedia; ad hoc network; artificial intelligence; signal processing; cloud computing; forensics; security; software and systems; mobile networking; and some miscellaneous topics in digital information and communications.

This two-volume-set (CCIS 188 and CCIS 189) constitutes the refereed proceedings of the International Conference on Digital Information Processing and Communications, ICDIPC 2011, held in Ostrava, Czech Republic, in July 2011. The 91 revised full papers of both volumes presented together with 4 invited talks were carefully reviewed and selected from 235 submissions. The papers are organized in topical sections on network security; Web applications; data mining; neural networks; distributed and parallel processing; biometrics technologies; e-learning; information ethics; image processing; information and data management; software engineering; data compression; networks; computer security; hardware and systems; multimedia; ad hoc network; artificial intelligence; signal processing; cloud computing; forensics; security; software and systems; mobile networking; and some miscellaneous topics in digital information and communications.

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis. The topics covered include automated region of interest detection of magnetic resonance images based on center of gravity; brain tumor detection through low-level features detection; automatic MRI image segmentation for brain tumor detection using the multi-level sigmoid activation function; and computer-aided detection of mammographic lesions using convolutional neural networks.

The book discusses the impact of machine learning and computational intelligent algorithms on medical image data processing, and introduces the latest trends in machine learning technologies and computational intelligence for intelligent medical image analysis.

This book gathers high-quality research papers presented at the Second International Conference on Innovative Computing and Communication (ICICC 2019), which was held at the VSB - Technical University of Ostrava, Czech Republic, on 21–22 March 2019. Highlighting innovative papers by scientists, scholars, students, and industry experts in the fields of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research, and the translation of applied research into real-world applications.

This book includes high-quality research papers presented at the Second International Conference on Innovative Computing and Communication (ICICC 2019), which is held at the VŠB - Technical University of Ostrava, Czech Republic, on 21–22 March 2019. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the fields of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.

This book explores knowledge-centric intelligent approaches to human-centric computing. The contributory chapters are aimed at addressing the challenges emanating from the assimilation of unstructured information from multiple fields in a human-centric framework through intelligent and smart computing approaches.

This book includes high-quality research papers presented at the Third International Conference on Human-Centric Smart Computing (ICHCSC 2024), held in Jaipur, India, during July 25–26, 2024. The topics covered in the book are human-centric computing, hyperconnectivity, and data science.