Category: Ebook

Kumar K Attacks on Artificial Intelligence The New Facets Cyber Ecospace 2026

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Name: Kumar K Attacks on Artificial Intelligence The New Facets Cyber Ecospace 2026
Format: pdf
Size: 40.78 MB

Book:

Title: Attacks on Artificial Intelligence
Author: Dr. Kukatlapalli Pradeep Kumar
Language: angielski
Year: 2025
Subjects: Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Artificial Intelligence – General
Publisher: Apple Academic Press
ISBN: 9781040092361
Total pages: 296

Description:

Cyber attacks, both on national infrastructures and private companies, have ramped up exponentially in recent years. AI tools and algorithms can help detect and fend off cyber threats, but they can also be used by hackers in their cyber attacks. Defensive measures to address cyber attacks are not sufficient for artificial intelligence-based architectures, which present a new range of challenges. This new volume takes these concerns into consideration and examines recent developments and issues in attacks that target AI based systems and cyber infrastructures while also presenting research on using AI technologies to prevent attacks.

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Kumar I Practical Approach to Imaging in Pediatric Oncology 2025

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Name: Kumar I Practical Approach to Imaging in Pediatric Oncology 2025
Format: pdf
Size: 154.94 MB

Book:

Title: Practical Approach to Imaging in Pediatric Oncology
Author: Ishan Kumar (Editor), Ashish Verma (Editor), Manisha Jana (Editor)
Language: polski
Year: 2025
Subjects: Medicine & Nursing, Medicine, Clinical Medicine, Radiology & Diagnostic Imaging
Publisher: Springer-Verlag New York, LLC
ISBN: 9789819681587
Total pages: 499

Description:

This book provides an update on the guidelines concerning imaging in pediatric oncology, catering to both radiologists and pediatric oncologists. It delves into the utilization of established and cutting-edge techniques in diagnosing and guiding the treatment of childhood cancers. The chapters discuss the current imaging recommendations, approach to diagnosis, and recommendation for radiological follow-up, and evaluation of the various malignancies of the different body parts. The book also elaborates on the existing evidence and guidelines, approach to interventional management of childhood malignancies, post-treatment evaluation, and follow-up.
The book is relevant for residents, fellows, and consultant radiologists involved in reporting and management of pediatric cancers.

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Kumar A Transformative Natural Language Processing Bridging Ambiguity in 2025

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Name: Kumar A Transformative Natural Language Processing Bridging Ambiguity in 2025
Format: pdf
Size: 7.9 MB

Book:

Title: Transformative Natural Language Processing
Author: Akshi Kumar
Language: angielski
Year: 2025
Subjects: Computer Technology, Language Arts, Nonfiction
Publisher: Springer Nature Switzerland
ISBN: 9783031889875
Total pages: 247

Description:

The evolving landscape of technology has presented numerous opportunities for addressing some of the most critical challenges in high-stakes domains such as medicine, law, and finance. These fields, where the stakes are exceptionally high, have increasingly turned to Natural Language Processing (NLP) to manage, interpret, and utilize vast amounts of unstructured linguistic data. The complexities and subtleties inherent in human language pose significant challenges in these sectors, where precision and clarity are paramount. Misinterpretation or ambiguity can lead to far-reaching consequences, making the need for advanced NLP techniques crucial.
This book aims to bridge the gap between state-of-the-art NLP technologies and their practical applications in medicine, law, and finance. By focusing on the specific challenges and advancements within these sectors, the publication intends to highlight innovative approaches, methodologies, and technologies that are shaping the future of NLP. It discusses the integration of NLP with other technological advancements, the development of new tools and techniques, and the ethical considerations involved in deploying NLP solutions in high-stakes domains.
Moreover, the book provides a platform for researchers, practitioners, and industry experts to share their experiences, insights, and research findings. Through comprehensive reviews, case studies, and empirical research, it covers a range of topics including but not limited to handling uncertainty in clinical notes, approaches for dealing with ambiguity in legal documents, sentiment analysis in financial markets, and ethical considerations in the use of NLP for sensitive data.

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Kumar A Fracture Behavior of Nanocomposites Reinforced Laminate Struct 2024

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Name: Kumar A Fracture Behavior of Nanocomposites Reinforced Laminate Struct 2024
Format: pdf
Size: 38.35 MB

Book:

Title: Fracture Behavior of Nanocomposites and Reinforced Laminate Structures
Author: Ashwani Kumar (Editor), Yogesh Kumar Singla (Editor), Michael R. Maughan (Editor)
Language: angielski
Year: 2024
Subjects: Science & Technology, Engineering, Industrial Engineering & Materials Science, Materials Science – General & Miscellaneous
Publisher: Springer-Verlag New York, LLC
ISBN: 9783031686948
Total pages: 537

Description:

This contributed volume is designed for fundamental understanding of fracture behavior of composites applied in core industrial sectors such as mechanical, electronics, Automotive, civil structures, and aerospace research and fills the gap of knowledge on fracture analysis. The book is primarily written for senior undergraduates, graduate students, and academic researchers in above mentioned fields.

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Kumar A Adversarial Techniques Early Diagnosis Neurological Conditions 2025

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Name: Kumar A Adversarial Techniques Early Diagnosis Neurological Conditions 2025
Format: pdf
Size: 14.61 MB

Book:

Title: Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises
Author: Abhishek Kumar
Language: angielski
Year: 2025
Subjects: Computer Technology, Technology, Engineering, Nonfiction
Publisher: Springer Nature Switzerland
ISBN: 9783031911460
Total pages: 411

Description:

This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.

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Kumar A A Textbook of Vector Analysis and Geometry 2022

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Name: Kumar A A Textbook of Vector Analysis and Geometry 2022
Format: pdf
Size: 1.35 MB

Book:

Title: Microsoft Word – A Textbook of Vector Analysis & Geometry(EBCH_1933 V3)
Author: User
Language: polski
Year: 2003
Subjects: Science & Technology, Mathematics, Physics, Geometry, Mathematical Analysis, Geometry – Differential, Mathematical Analysis – Functional Analysis, Mathematical Physics, Mathematics – Applied
Publisher: World Scientific Publishing Company, Incorporated
ISBN: 9789812384522
Total pages: 111

Description:

The Sixth International Workshop on Complex Structures and Vector Fields was a continuation of the previous five workshops (1992, 1994, 1996, 1998, 2000) on similar research projects. This series of workshops aims at higher achievements in studies of new research subjects. The present volume will meet with the satisfaction of many readers.

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Kulp C Classical Mechanics A Computational Approach with Examples 2ed 2026

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Name: Kulp C Classical Mechanics A Computational Approach with Examples 2ed 2026
Format: pdf
Size: 29.58 MB

Book:

Title: Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python: Second Edition
Author: Christopher W. Kulp
Language: angielski
Year: 2025
Subjects: Science & Technology, Mathematics, Arithmetic
Publisher: CRC Press
ISBN: 9781040388532
Total pages: 609

Description:

Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary introduction to classical mechanics, with a focus on computational methods. In addition to providing clear and thorough coverage of key topics, this textbook includes integrated instructions and treatments of computation.
This newly updated and revised second edition includes two new appendices instructing the reader in both the Python and Mathematica languages. All worked example problems in the second edition contain both Python and Mathematica code. New end-of-chapter problems explore the application of computational methods to classical mechanics problems.
Full of pedagogy, it contains both analytical and computational example problems within the body of each chapter. The example problems teach readers both analytical methods and how to use computer algebra systems and computer programming to solve problems in classical mechanics. End-of-chapter problems allow students to hone their skills in problem solving with and without the use of a computer. The methods presented in this book can then be used by students when solving problems in other fields both within and outside of physics.
It is an ideal textbook for undergraduate students in physics, mathematics, and engineering studying classical mechanics.
Key Features:

• Gives readers the "big picture" of classical mechanics and the importance of computation in the solution of problems in physics
• Numerous example problems using both analytical and computational methods, as well as explanations as to how and why specific techniques were used
• Online resources containing specific example codes to help students learn computational methods and write their own algorithms

A solutions manual is available via the Routledge Instructor Hub and all example codes in the book are available via the Support Material tab, and at the book’s GitHub page: https://github.com/vpagonis/Classical_Mechanics_2nd_Edition

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Kulkarni S Leveraging Artificial Intelligence in Cloud 2026

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Name: Kulkarni S Leveraging Artificial Intelligence in Cloud 2026
Format: pdf
Size: 5.05 MB

Book:

Title: Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing
Author: Shrikaant Kulkarni (Editor), P. William (Editor), Vijaya Prakash (Editor), Jaiprakash Narain Dwivedi (Editor)
Language: angielski
Year: 2025
Subjects: Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Artificial Intelligence – General
Publisher: CRC Press
ISBN: 9781040357934
Total pages: 332

Description:

In an era defined by rapid technological advancements, the convergence of artificial intelligence (AI) with cloud, edge, fog, and mobile computing is transforming the landscape of computing and data processing. These emerging technologies are not only enhancing computational capabilities but also paving the way for innovative applications across diverse industries, from healthcare and finance to transportation and entertainment.
Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing explores the symbiotic relationship between AI and these computing paradigms. As AI continues to evolve, its integration with cloud, edge, fog, and mobile computing platforms is unlocking new potentials and driving efficiencies and enabling real-time, intelligent decision-making processes.
The book begins with an in-depth examination of the foundational principles of cloud, edge, fog, and mobile computing, followed by a detailed analysis of how AI technologies are being embedded within these frameworks. It then delves into the unique advantages and challenges of each paradigm, highlighting their roles in facilitating seamless, decentralized data processing and enhancing user experiences.
The book is structured to provide a comprehensive understanding of the current state and future directions of AI in these computing environments.
The book is intended to serve as a resource and inspiration for those seeking to explore the vast potential of AI in the realms of cloud, edge, fog, and mobile computing. Its goal is to spark new ideas, foster innovation, and contribute to the ongoing dialogue on the future of intelligent computing.

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Kulkarni S Ecotoxicity and Herbal Health A Symbiotic Approach 2026

General:

Name: Kulkarni S Ecotoxicity and Herbal Health A Symbiotic Approach 2026
Format: pdf
Size: 50.92 MB

Book:

Title: Ecotoxicity and Herbal Health: A Symbiotic Approach
Author: Shrikaant Kulkarni
Language: angielski
Year: 2025
Subjects: N/A
Publisher: Apple Academic Press
ISBN: 9781040451717
Total pages: 534

Description:

In a world where environmental degradation and the pursuit of natural health solutions are both gaining unprecedented attention, the intersection of ecotoxicity and herbal health emerges as a critical field of study. This new book provides a comprehensive overview of how environmental contaminants affect plant-based remedies and, consequently, human health. This volume helps to foster a deeper understanding of the intricate relationship between environmental health and herbal medicine, encouraging a more informed and proactive approach to addressing the challenges at this intersection.

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Kulkarni S Artificial Intelligence-driven Models Environmental Management 2025

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Name: Kulkarni S Artificial Intelligence-driven Models Environmental Management 2025
Format: pdf
Size: 4.46 MB

Book:

Title: Artificial Intelligence‐Driven Models for Environmental Management
Author: Shrikaant Kulkarni
Language: polski
Year: 2025
Subjects: Science & Technology, Ecology & Environmental Sciences, Environmental Sciences, Interdisciplinary Aspects of Environmental Sciences
Publisher: Wiley
ISBN: 9781394282531
Total pages: 406

Description:

Step-by-step guidelines for the development of artificial neural network-based environmental pollution models Artificial Intelligence-Driven Models for Environmental Management delves into the application of AI across a plethora of areas in environmental management, including climate forecasting, natural resource optimization, waste management, and biodiversity conservation. This book shows how AI can help in monitoring, predicting, and mitigating environmental impacts with tremendous accuracy and speed by leveraging machine learning, deep learning, and other data-driven models. The methodologies explored in this volume reflect a synthesis of computational intelligence, data science, and ecological expertise, underscoring how AI-driven systems have been making strides in managing and preserving our planet’s natural resources.
The text is structured to guide readers through numerous AI models and their practical environmental management applications, showcasing theoretical foundations as well as case studies. This book also addresses the challenges and ethical considerations related to deploying AI in ecological contexts, underscoring the importance of transparency, inclusivity, and alignment with sustainability goals.
Sample topics discussed in Artificial Intelligence-Driven Models for Environmental Management include:

• Tools and methods for monitoring and predicting environmental pollutants faster and more accurately
• AI technology for the protection of water supplies from contamination to produce healthier foods
• Use of AI for the evaluation of the impacts of environmental pollution on human health
• AI and waste management technologies for sustainable agriculture and soil management
• The role of AI in environmental research and sustainability and key social and economic aspects of natural resource management through AI

Artificial Intelligence-Driven Models for Environmental Management is a timely, forward-thinking resource for a diverse readership, including researchers, policymakers, environmental scientists, and AI practitioners.

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