ahmad saba (13 Ergebnisse)

Zustand: New. pp. xxv + 160 Maps.

Zustand: New. Dunya, Ahmad Saba (illustrator). In.

Hardcover. Zustand: New. The present volume entitled 'SDGs and NEP 2020' comprises with total 21 scholarly contributions divided in 4 broad sections dealing with the different aspects on role of SDGs and NEP 2020 for transforming India. The First Section on Education and Teaching-Learning Process This section have 5 contributions delves into the concept of Education, which refers to the integration of emerging technologies and innovative pedagogical approaches in the teaching-learning process. The Second Section on Current Trends in Education comprises with 5 chapters examine the rapid technological advancements, globalization, and changing societal needs are influencing educational practices across the globe. The Third Section on Transformation of Education in the Light of NEP 2020 includes 7 chapters analyses the transformative potential of NEP 2020 and its alignment with SDG. The Last Section on Ensuring Sustainable Development for All included 4 chapters to understand the importance of ensuring sustainable development for all individuals, regardless of their socioeconomic backgrounds. The role of education in reducing inequalities, promoting gender equality, and addressing social and economic disparities are also discussed. It highlights the potential of education to drive sustainable development, and how the principles and objectives of NEP 2020 align with the broader global agenda. This book serves as a comprehensive resource for educators, policymakers, researchers.

Zustand: New. Dunya, Ahmad Saba (illustrator).

Paperback. Zustand: Brand New. 128 pages. 8.66x5.91x0.29 inches. In Stock.

Taschenbuch. Zustand: Neu. Performance of Mobile Phone Antenna by Using TEMS program | Determining the suitable antenna type is very critical issue in cellular network aiming to enhance capacity | Saba Fadhel Ahmad Ali Al-jaff | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9783659909405 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Zustand: Neu. Cement Selection in Luting Implant Crown | Parvez Ahmad Khan (u. a.) | Taschenbuch | 128 S. | Englisch | 2018 | Scholars' Press | EAN 9786202306027 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Zustand: New.

Zustand: New. In.

Zustand: New. Provides step-by-step procedures to build a digital human modelAssists in validating predicted human motion using simulations and experimentsOffers formulation optimization features for dynamic human motion prediction.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Environmental challenges require diverse legal approaches. In this comprehensive handbook, global scholars examine the nexus of Islam and environmental law as a significant yet understudied framework for contemporary governance. Spanning fourteen centuries of legal development, Islamic environmental jurisprudence offers sophisticated approaches to stewardship, resource management, and climate policy. Chapters include detailed case studies of Pakistan's constitutional courts and Malaysia's environmental legislation, Gulf economic transitions, and water-governance innovations, all demonstrating how Islamic legal principles inform real-world environmental solutions. Each contribution provides a nuanced analysis of how traditional concepts adapt to contemporary contexts across diverse Muslim-majority nations. Timely and innovative, this handbook is an ideal resource for environmental law scholars, comparative legal researchers, policy analysts, and development practitioners working in multicultural contexts.

Zustand: New. 2026. hardcover. . . . . . Books ship from the US and Ireland.

Taschenbuch. Zustand: Neu. Neuware - In an era where Artificial Intelligence (AI) is revolutionizing healthcare, Explainable AI in Healthcare Imaging for Precision Medicine addresses the critical need for transparency, trust, and accountability in AI-driven medical technologies. As AI becomes an integral part of clinical decision-making, especially in imaging and precision medicine, the question of how AI reaches its conclusions grows increasingly significant. This book explores how Explainable AI (XAI) is transforming healthcare by making AI systems more interpretable, reliable, and transparent, empowering clinicians and enhancing patient outcomes.Through a comprehensive examination of the latest research, real-world case studies, and expert insights, this book delves into the application of XAI in medical imaging, disease diagnosis, treatment planning, and personalized care. It discusses the technical methodologies behind XAI, the challenges and opportunities of its integration into healthcare, and the ethical and regulatory considerations that will shape the future of AI-assisted medical decisions.Key areas of focus include the role of XAI in improving diagnostic accuracy in fields such as radiology, pathology, and genomics and its potential to enhance collaboration between AI systems, healthcare professionals, and patients. The book also highlights practical applications of XAI in personalized medicine, showing how explainable models help tailor treatments to individual patients, and discusses how XAI can contribute to reducing bias and improving fairness in medical decision-making.Written by leading experts in AI, healthcare, and precision medicine, Explain[S3G1] able AI in Healthcare Imaging for Precision Medicine is an essential resource for researchers, clinicians, students, and policymakers. Whether you are looking to stay at the forefront of AI innovations in healthcare or seeking to understand how explainability can build trust in AI systems, this book provides the insights and knowledge needed to navigate the evolving landscape of AI in medicine. It invites readers to explore how XAI can revolutionize healthcare and precision medicine, shaping a future where AI is both powerful and trustworthy.