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This book constitutes the jointly proceedings of the 3rd International Conference on Intelligent Edge Processing in the IoT Era, Edge-IoT 2022, and the 4th International Conference on Smart Governance for Sustainable Smart Cities, SmartGov 2022. Both conferences were held online due to COVID-19 pandemic in November 2022, held as virtual events, in November 16-18, 2022. The 12 full papers were selected from 31 submissions. SmartGov 2022 was to promote the development of secure and sustainable smart cities with smart governance, while the theme of Edge-IoT 2022 was to address the decentralization of contemporary processing paradigms, notably Edge processing, focusing on the increasing demand for intelligent processing at the edge of the network, which is paving the way to the Intelligent IoT Era”. Both the EAI SmartGov 2022 and EAI Edge-IoT 2022 conferences were co-located with EAI SmartCity360 international convention. The papers are organized in the following topical sections: Edge-IoT Applications; IoT Architectures, Forecasting and Adversarial Training; Artificial Intelligence and Machine Learning for smart governance; and Smart Transportation.
This book gathers the high-quality papers presented at the 19th International Conference on Computing and Information Technology (IC2IT2023), held on May 18–19, 2023, in Bangkok, Thailand. The book presents an original research work for both academic and industry domains, which is aiming to show valuable knowledge, skills and experiences in the field of computing and information technology. The topics covered in the book include natural language processing, image processing, intelligent systems and algorithms, as well as machine learning. These lead to the major research directions for innovating computational methods and applications of information technology.
This book explores the advancements and future challenges in biomedical application developments using breakthrough technologies like Artificial Intelligence (AI), Internet of Things (IoT), and Signal Processing. It will also contribute to biosensors and secure systems,and related research. Applied Artificial Intelligence: A Biomedical Perspective begins by detailing recent trends and challenges of applied artificial intelligence in biomedical systems. Part I of the book presents the technological background of the book in terms of applied artificial intelligence in the biomedical domain. Part II demonstrates the recent advancements in automated medical image analysis that have opened ample ...
This book presents the latest research on computer recognition systems. Over the last few years, computer scientists, engineers and users have been confronted with rapid changes in computer interfaces and in the abilities of the machines and the services available. And this is just the beginning: based on recent research findings, we can expect more significant advances and challenges in the next decade. Achievements in the area of artificial intelligence have made an important major contribution to these developments: Machine learning, natural language processing, speech recognition, image and video processing are just some of the major research and engineering directions that have made autonomous driving, language assistants, automatic translation and answering systems as well as other innovative applications such as more human-oriented interfaces possible. Those developments also reflect economic changes in the world, which are increasingly dominated by the needs of enhanced globalization, international cooperation (including its competitive aspects) and emerging global problems.
The introduction of emerging contaminants through anthropogenic activities and industrial discharges has raised significant public health concerns worldwide. Various techniques, including bioremediation, have been explored for their effectiveness in removing pollutants from water bodies and effluents. Microorganisms, particularly bacteria and fungi, have emerged as promising candidates for bioremediation due to their abundance, diversity, and ability to thrive under various conditions. Microbes and Enzymes for Water Treatment and Remediation covers a range of topics, from the role of microorganisms and enzymes in efficient pollutant removal to recent advances in microbial immobilization and ...
There are many ways to motivate students to achieve their academic and personal goals. Due to the pandemic, more emphasis has been placed on finding alternative approaches to instruct students. Online learning has become the focal point of the educational setting, and new approaches to teaching are necessary. Since the change in delivery from face-to-face to online, teachers have been faced with motivating their students in an environment that is new and foreign to them. Teachers must find new methods to enhance their curriculum to motivate all students in this modality. The Handbook of Research on Creating Motivational Online Environments for Students considers how online students learn and how they progress through the learning process. The book also provides teaching techniques and technology that will improve motivational success for students in all modalities. Covering topics such as student behavior, online education, and motivational techniques, this premier reference source is ideal for administrators, researchers, academicians, scholars, practitioners, instructors, and students.
This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts; discusses the archival and transfer of images, including the HL7 and DICOM standards; presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing; examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation; explores object detection, as well as classification based on segment attributes such as shape and appearance; reviews the validation of an analysis method; includes appendices on Markov random field optimization, variational calculus and principal component analysis.
This book provides a unified approach for developing a fuzzy classifier and explains the advantages and disadvantages of different classifiers through extensive performance evaluation of real data sets. It thus offers new learning paradigms for analyzing neural networks and fuzzy systems, while training fuzzy classifiers. Function approximation is also treated and function approximators are compared.
In this paper we explore the implications of Nepal’s new federal Constitution—passed in September 2015—for governance of the agricultural sector. Agriculture is the backbone of the Nepali economy, providing a livelihood for approximately two-thirds of the population, contributing one-third of the country’s GDP, and constituting more than half of the country’s exports. In transitioning from a unitary to a federal republic—with greater authority and autonomy granted to subnational units of government—it is of paramount importance to ensure that the agricultural sector is guided by coordinated planning, retains sufficient human capacity, and receives adequate fiscal resources. The...