An edited book is a compilation of academic chapters produced by several authors to share their perspectives and experiences on a certain subject. The chapters of the edited book, which are written by many writers, go through a peer-reviewing procedure to confirm their quality. The volume editor next manages the uniformity of style and material flow. The chapters in the edited book should be the author's own unpublished original works. If they are carefully planned and edited well, edited volumes can be excellent books. A successful edited book is more than just a longer version of a journal issue with a similar theme; it is also a complete intellectual undertaking that should be treated as such from the outset.
An edited book (2nd Volume) is a compilation of academic chapters produced by several authors to share their perspectives and experiences on a certain subject. The chapters of the edited book, which are written by many writers, go through a peer-reviewing procedure to confirm their quality. The volume editor next manages the uniformity of style and material flow. The chapters in the edited book should be the author's own unpublished original works. If they are carefully planned and edited well, edited volumes can be excellent books. A successful edited book is more than just a longer version of a journal issue with a similar theme; it is also a complete intellectual undertaking that should be treated as such from the outset.
Data Science and Interdisciplinary Research: Recent Trends and Applications is a compelling edited volume that offers a comprehensive exploration of the latest advancements in data science and interdisciplinary research. Through a collection of 10 insightful chapters, this book showcases diverse models of machine learning, communications, signal processing, and data analysis, illustrating their relevance in various fields. Key Themes: Advanced Rainfall Prediction: Presents a machine learning model designed to tackle the challenging task of predicting rainfall across multiple countries, showcasing its potential to enhance weather forecasting. Efficient Cloud Data Clustering: Explains a novel computational approach for clustering large-scale cloud data, addressing the scalability of cloud computing and data analysis. Secure In-Vehicle Communication: Explores the critical topic of secure communication in in-vehicle networks, emphasizing message authentication and data integrity. Smart Irrigation 4.0: Details a decision model designed for smart irrigation, integrating agricultural sensor data reliability analysis to optimize water usage in precision agriculture. Smart Electricity Monitoring: Highlights machine learning-based smart electricity monitoring and fault detection systems, contributing to the development of smart cities. Enhanced Learning Environments: Investigates the effectiveness of mobile learning in higher education, shedding light on the role of technology in shaping modern learning environments. Coastal Socio-Economy Study: Presents a case study on the socio-economic conditions of coastal fishing communities, offering insights into the livelihoods and challenges they face. Signal Noise Removal: Shows filtering techniques for removing noise from ECG signals, enhancing the accuracy of medical data analysis and diagnosis. Deep Learning in Biomedical Research: Explores deep learning techniques for biomedical research, particularly in the realm of gene identification using Next Generation Sequencing (NGS) data. Medical Diagnosis through Machine Learning: Concludes with a chapter on breast cancer detection using machine learning concepts, demonstrating the potential of AI-driven diagnostics.
This book is based on columns and tutorials published in the Bulletin of the European Association for Theoretical Computer Science (EATCS) during the period 2000-2003. It presents many of the most active current research lines in theoretical computer science. The material appears in two volumes, “Algorithms and Complexity” and “Formal Models and Semantics”, reflecting the traditional division of the field.The list of contributors includes many of the well-known researchers in theoretical computer science. Most of the articles are reader-friendly and do not presuppose much knowledge of the area in question. Therefore, the book constitutes very suitable supplementary reading material for various courses and seminars in computer science.
This book is devoted to the Metacognition arena. It highlights works that show relevant analysis, reviews, theoretical, and methodological proposals, as well as studies, approaches, applications, and tools that shape current state, define trends and inspire future research. As a result of the revision process fourteen manuscripts were accepted and organized into five parts as follows: · Conceptual: contains conceptual works oriented to: (1) review models of strategy instruction and tailor a hybrid strategy; (2) unveil second-order judgments and define a method to assess metacognitive judgments; (3) introduces a conceptual model to describe the metacognitive activity as an autopoietic system. · Framework: offers three works concerned with: (4) stimulate metacognitive skills and self-regulatory functions; (5) evaluate metacognitive skills and self-regulated learning at problem solving; (6) deal with executive management metacognition and strategic knowledge metacognition. · Studies: reports research related to: (7) uncover how metacognitive awareness of listening strategies bias listening proficiency; (8) unveil how metacognitive skills and motivation are achieved in science informal learning; (9) tackle stress at learning by means of coping strategies. · Approaches: focus on the following targets: (10) social metacognition to support collaborative problem solving; (11) metacognitive skills to be stimulated in computer supported collaborative learning; (12) metacognitive knowledge and metacognitive experiences are essential for teaching practices. · Tools: promotes the use of intelligent tutoring systems such as: (13) BioWorld allows learners to practice medical diagnostic by providing virtual patient cases; (14) MetaHistoReasoning provides examples to learners and inquiries about the causes of historical events. This volume will be a source of interest for researchers, practitioners, professors, and postgraduate students aimed at updating their knowledge and finding targets for future work in the metacognition arena.
Although integrative conceptions of development have been gaining increasing interest, there have been few attempts to bring together the various threads of this emerging trend. The Handbook of Integrative Developmental Science seeks ways to bring together classic and contemporary theory and research in developmental psychology with an eye toward building increasingly integrated theoretical and empirical frameworks. It does so in the form of a festschrift for Kurt Fischer, whose life and work have both inspired and exemplified integrative approaches to development. Building upon and inspired by the comprehensive scope of Fischer’s Dynamic Skill Theory, this book examines what an integrated theory of psychological development might look like. Bringing together the work of prominent integrative thinkers, the volume begins with an examination of philosophical presuppositions of integrative approaches to development. It then shows how Dynamic Skill Theory provides an example of an integrative model of development. After examining the question of the nature of integrative developmental methodology, the volume examines the nature of developmental change processes as well as pathways and processes in the development of psychological structures both within and between psychological domains. The team of expert contributors cover a range of psychological domains, including the macro- and micro-development of thought, feeling, motivation, self, intersubjectivity, social relations, personality, and other integrative processes. It ends with a set of prescriptions for the further elaboration of integrative developmental theory, and a tribute to Kurt Fischer and his influence on developmental psychology. This book will be essential reading for graduate students and researchers of developmental psychology and human development, specifically developmental science.
