Monika sethi (37 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Taschenbuch. Condizione: Neu. Academic Achievement Among Scheduled & Non Scheduled Caste Adolescents | Monika Sethi | Taschenbuch | 364 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659833762 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

Paperback. Condizione: Brand New. 364 pages. 8.66x5.91x0.82 inches. In Stock.

Hardback. Condizione: New. New copy - Usually dispatched within 4 working days.

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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New.

Condizione: new.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Hardcover. Condizione: Brand New. 325 pages. 6.69x2.00x9.45 inches. In Stock.

Buch. Condizione: Neu. Neuware - This book offers a comprehensive and interdisciplinary perspective on healthcare intelligent systems, highlighting the growing role of applied mathematics, data-driven methodologies, and artificial intelligence in modern healthcare. The book brings together scholarly contributions that explore how intelligent models, data representations, and computational techniques are applied to healthcare diagnostics, medical imaging, and clinical decision-support systems.The chapters cover a wide range of topics, including medical imaging modalities, data handling and representation, deep learning techniques, explainable and trustworthy artificial intelligence, generative models, three-dimensional reconstruction, performance evaluation metrics, ethical considerations, and emerging trends in healthcare technologies. Through practical insights and real-world case studies, the volume illustrates how intelligent systems support disease detection, diagnosis, and personalized treatment planning.Designed for researchers, graduate students, and professionals in healthcare technology, computer science, and biomedical engineering, this book serves as a valuable reference on intelligent healthcare solutions.…

Buch. Condizione: Neu. Applied Mathematics for Healthcare Intelligent Systems | Data Representation, Smart Healthcare, Deep Learning and Medical Imaging | Monika Sethi (u. a.) | Buch | XIII | Englisch | 2026 | De Gruyter | EAN 9783112226216 | Verantwortliche Person für die EU: Walter de Gruyter GmbH, De Gruyter GmbH, Genthiner Str. 13, 10785 Berlin, productsafety[at]degruyterbrill[dot]com | Anbieter: preigu.…

Buch. Condizione: Neu. Neuware - Integrated Smart Technologies for Sustainable Water Systems Using Computer Applications presents a comprehensive exploration of how cutting-edge computational technologies are revolutionizing water resource management. This multidisciplinary guide demonstrates the practical integration of artificial intelligence (AI), Internet of Things (IoT) systems, and emerging digital technologies to address critical challenges in hydrology, hydraulics, water quality, and smart infrastructure development.This book systematically examines the application of advanced technologies including AI, machine learning, IoT, blockchain, cloud and edge computing, and Geographic Information Systems across diverse water management scenarios. Through theoretical models, algorithmic approaches, and real-world case studies from both developed and developing countries, it illustrates key findings in AI-driven water demand and quality predictions, IoT-enabled real-time distribution network monitoring, blockchain applications for transparent water resource transactions, intelligent flood forecasting systems, automated irrigation methods, wastewater treatment automation, and digital twin development for dynamic infrastructure modeling. The work uniquely incorporates emerging concepts such as explainable AI, climate resilience frameworks, and digital twin technologies, positioning it at the forefront of current industry and academic research trends.This essential resource is designed for researchers, industry professionals, software developers, educators, and students specializing in water resource management and sustainable technology applications. The content balances foundational insights with advanced methodologies, making it equally valuable for newcomers seeking a comprehensive understanding and experienced practitioners looking to implement cutting-edge solutions for sustainable water system management.…

Condizione: Sehr gut. Zustand: Sehr gut | Seiten: 325 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 325 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condizione: New. 2026. 1st Edition. hardcover. . . . . .

Condizione: New. 2026. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condizione: gut. 2026. Applied Mathematics for Healthcare Intelligent Systems: Data Representation, Smart Healthcare, Deep Learning and Medical Imaging (Mathematical Methods in the Digital Age) In deutscher Sprache. pages.

Hardcover. Condizione: new. Hardcover. Integrated Smart Technologies for Sustainable Water Systems Using Computer Applications presents a comprehensive exploration of how cutting-edge computational technologies are revolutionizing water resource management. This multidisciplinary guide demonstrates the practical integration of artificial intelligence (AI), Internet of Things (IoT) systems, and emerging digital technologies to address critical challenges in hydrology, hydraulics, water quality, and smart infrastructure development.This book systematically examines the application of advanced technologies including AI, machine learning, IoT, blockchain, cloud and edge computing, and Geographic Information Systems across diverse water management scenarios. Through theoretical models, algorithmic approaches, and real-world case studies from both developed and developing countries, it illustrates key findings in AI-driven water demand and quality predictions, IoT-enabled real-time distribution network monitoring, blockchain applications for transparent water resource transactions, intelligent flood forecasting systems, automated irrigation methods, wastewater treatment automation, and digital twin development for dynamic infrastructure modeling. The work uniquely incorporates emerging concepts such as explainable AI, climate resilience frameworks, and digital twin technologies, positioning it at the forefront of current industry and academic research trends.This essential resource is designed for researchers, industry professionals, software developers, educators, and students specializing in water resource management and sustainable technology applications. The content balances foundational insights with advanced methodologies, making it equally valuable for newcomers seeking a comprehensive understanding and experienced practitioners looking to implement cutting-edge solutions for sustainable water system management. This book presents a comprehensive exploration of how cutting-edge computational technologies are revolutionizing water resource management. It demonstrates the integration of AI, IoT systems, and emerging digital technologies to address critical challenges in hydrology, hydraulics, water quality, and smart infrastructure development. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A comparative study of Academic Achievement Among Scheduled Caste and Non - Scheduled Caste Adolescents in relation to their Emotional Intelligence, Mental Health and Adjustment was conducted on a sample of 754 (377 Scheduled Caste and 377 Non - Scheduled Caste) Adolescents of 10+1 students of rural government schools of Punjab. The study revealed positive and significant relationship between Academic Achievement and Emotional Intelligence, Mental Health & Adjustment of Scheduled Caste and Non - Scheduled Caste Adolescents. Moreover, the conjoint effect of prediction of Academic Achievement Among Scheduled Caste and Non - Scheduled Caste Adolescents on the basis of Emotional Intelligence, Mental Health and Adjustment is significantly higher as compared to their separate predictions. Further, the Academic Achievement of Non - Scheduled Caste Adolescents is significantly more as compared to Scheduled Caste Adolescents. The present study will be of immense use to educationists, psychologists and policy makers so that the special attention right from the beginning can be given to Scheduled Caste Adolescents to bring them at par with Non - Scheduled Caste. 364 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sethi MonikaDr. Monika Sethi Offg. Principal, BCM College of Education, has 18 years of teaching experience and two years of administrative experience. She has presented & published various research papers/articles in National & Inte. …

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A comparative study of Academic Achievement Among Scheduled Caste and Non - Scheduled Caste Adolescents in relation to their Emotional Intelligence, Mental Health and Adjustment was conducted on a sample of 754 (377 Scheduled Caste and 377 Non - Scheduled Caste) Adolescents of 10+1 students of rural government schools of Punjab. The study revealed positive and significant relationship between Academic Achievement and Emotional Intelligence, Mental Health & Adjustment of Scheduled Caste and Non - Scheduled Caste Adolescents. Moreover, the conjoint effect of prediction of Academic Achievement Among Scheduled Caste and Non - Scheduled Caste Adolescents on the basis of Emotional Intelligence, Mental Health and Adjustment is significantly higher as compared to their separate predictions. Further, the Academic Achievement of Non - Scheduled Caste Adolescents is significantly more as compared to Scheduled Caste Adolescents. The present study will be of immense use to educationists, psychologists and policy makers so that the special attention right from the beginning can be given to Scheduled Caste Adolescents to bring them at par with Non - Scheduled Caste.…

Hardcover. Condizione: new. Hardcover. Integrated Smart Technologies for Sustainable Water Systems Using Computer Applications presents a comprehensive exploration of how cutting-edge computational technologies are revolutionizing water resource management. This multidisciplinary guide demonstrates the practical integration of artificial intelligence (AI), Internet of Things (IoT) systems, and emerging digital technologies to address critical challenges in hydrology, hydraulics, water quality, and smart infrastructure development.This book systematically examines the application of advanced technologies including AI, machine learning, IoT, blockchain, cloud and edge computing, and Geographic Information Systems across diverse water management scenarios. Through theoretical models, algorithmic approaches, and real-world case studies from both developed and developing countries, it illustrates key findings in AI-driven water demand and quality predictions, IoT-enabled real-time distribution network monitoring, blockchain applications for transparent water resource transactions, intelligent flood forecasting systems, automated irrigation methods, wastewater treatment automation, and digital twin development for dynamic infrastructure modeling. The work uniquely incorporates emerging concepts such as explainable AI, climate resilience frameworks, and digital twin technologies, positioning it at the forefront of current industry and academic research trends.This essential resource is designed for researchers, industry professionals, software developers, educators, and students specializing in water resource management and sustainable technology applications. The content balances foundational insights with advanced methodologies, making it equally valuable for newcomers seeking a comprehensive understanding and experienced practitioners looking to implement cutting-edge solutions for sustainable water system management. This book presents a comprehensive exploration of how cutting-edge computational technologies are revolutionizing water resource management. It demonstrates the integration of AI, IoT systems, and emerging digital technologies to address critical challenges in hydrology, hydraulics, water quality, and smart infrastructure development. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…