Anand S Kickstart Artificial Intelligence Fundamentals 2025

Anand S Kickstart Artificial Intelligence Fundamentals 2025

General:

Name: Anand S Kickstart Artificial Intelligence Fundamentals 2025
Format: pdf
Size: 24.8 MB

Book:

Title: Kickstart Artificial Intelligence Fundamentals: Master Machine Learning, Neural Networks, and Deep Learning from Basics to Build Modern AI Solutions with Python and TensorFlow-Keras
Author: S. Mahesh Anand
Language: angielski
Year: 2025
Subjects: Computer Technology, Nonfiction
Publisher: Orange Education Pvt Ltd
ISBN: 9789348107138
Total pages: 571

Description:

AI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field.
Kickstart Artificial Intelligence Fundamentals is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and Neural Networks. Tailored for all AI enthusiasts, this book provides hands-on Python implementation using the TensorFlow-Keras framework, ensuring a seamless learning experience from theory to practice.
Bridging the gap between concepts and real-world applications, this book offers intuitive explanations, mathematical foundations, and practical use cases. Readers will explore supervised and unsupervised Machine Learning models, master Convolutional Neural Networks for image classification, and leverage Long Short-Term Memory networks for time-series forecasting. Each chapter includes coding examples and guided exercises, making it an invaluable resource for both beginners and advanced learners.
Beyond technical expertise, this book explores emerging trends like Generative AI and ethical considerations in AI, preparing readers for the challenges and opportunities in the field. This book will provide you the essential knowledge and hands-on experience to stay competitive. Don’t get left behind-embrace AI and future-proof your career today!

Download from RapidGator
https://rapidgator.net/file/95bab5baeee652ad348b7f5ba804d3bb/z2ua4ii50y470h5k1eao3m.pdf

Amster-P -Topological-Methods-for-Delay-and-Ordinary-Differential-Equations-2024

Amster-P -Topological-Methods-for-Delay-and-Ordinary-Differential-Equations-2024

General:

Name: Amster-P -Topological-Methods-for-Delay-and-Ordinary-Differential-Equations-2024
Format: pdf
Size: 32.56 MB

Book:

Title: 3031613368
Author: Pablo Amster & Pierluigi Benevieri
Language: angielski
Year: 2024
Subjects: Science & Technology, Mathematics, Mathematical Equations, Mathematical Equations – Differential
Publisher: Birkhäuser
ISBN: 9783031613371
Total pages: 283

Description:

This volume explores the application of topological techniques in the study of delay and ordinary differential equations with a particular focus on continuum mechanics. Chapters, written by internationally recognized researchers in the field, present results on problems of existence, multiplicity localization, bifurcation of solutions, and more. Topological methods are used throughout, including degree theory, fixed point index theory, and classical and recent fixed point theorems. A wide variety of applications to continuum mechanics are provided as well, such as chemostats, non-Newtonian fluid flow, and flows in phase space. Topological Methods for Delay and Ordinary Differential Equations will be a valuable resource for researchers interested in differential equations, functional analysis, topology, and the applied sciences.

Download from RapidGator
https://rapidgator.net/file/8b9f613f1672af1e6d0d9cce734ac476/gyat42m9an9og8x17o3x91.pdf

Amini M Distributed Machine Learning and Computing Theory and Applications 2024

Amini M Distributed Machine Learning and Computing Theory and Applications 2024

General:

Name: Amini M Distributed Machine Learning and Computing Theory and Applications 2024
Format: pdf
Size: 9.83 MB

Book:

Title: Distributed Machine Learning and Computing
Author: M. Hadi Amini
Language: polski
Year: 2024
Subjects: Computer Technology, Technology, Engineering, Nonfiction
Publisher: Springer International Publishing
ISBN: 9783031575662
Total pages: 123

Description:

This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world problems. It is suitable for students and researchers interested in conducting research in multidisciplinary areas that rely on distributed machine learning and computing techniques.

Download from RapidGator
https://rapidgator.net/file/88d62225fb724d90c8dc10403f7c6ff3/enc99vd54ta363sy7r0pp6.pdf

Ameen S Nanomaterials for Sensors and Sustainable Energy Vol 2 2025

Ameen S Nanomaterials for Sensors and Sustainable Energy Vol 2 2025

General:

Name: Ameen S Nanomaterials for Sensors and Sustainable Energy Vol 2 2025
Format: pdf
Size: 14.08 MB

Book:

Title: Nanomaterials for Sensors and Sustainable Energy Volume 2
Author: Sadia Ameen (Editor), Shaheer M. Akhtar (Editor), Ing Kong (Editor)
Language: polski
Year: 2025
Subjects: Science & Technology, Engineering, Technology, Electrical & Electronic Engineering, Technology – General & Miscellaneous, Chemistry, Physics, Electronics – Microelectronics, Nanotechnology, Physical & Theoretical Chemistry, Solid State Physics – General & Miscellaneous
Publisher: Springer-Verlag New York, LLC
ISBN: 9789819606641
Total pages: 344

Description:

This book offers readers an extensive insight into advanced nanomaterials and their applications in the realm of energy generation and utilization. It places a specific emphasis on emerging nanomaterials and their diverse applications within energy-related sectors and sensor technology. The primary focus is on comprehending how these materials enhance the performance of energy storage devices and sensors. Furthermore, the book provides a comprehensive overview of the significant challenges faced in these areas and presents a forward looking perspective. Comprising ten chapters, the book extensively explores the applications of nanomaterials in energy-related fields, specifically in solar cells, supercapacitors, sensors, and more. It caters to the needs of budding researchers involved in the synthesis of nanomaterials and post-graduate students interested in delving into the intricacies of nanomaterials.

Download from RapidGator
https://rapidgator.net/file/b4a7ab637af27227bb8f7332507d4f39/gxr2t84324h2u21mran2ih.pdf

Ameen S Nanomaterials for Sensors and Sustainable Energy Vol 1 2025

Ameen S Nanomaterials for Sensors and Sustainable Energy Vol 1 2025

General:

Name: Ameen S Nanomaterials for Sensors and Sustainable Energy Vol 1 2025
Format: pdf
Size: 9.05 MB

Book:

Title: Nanomaterials for Sensors and Sustainable Energy Volume 1
Author: Sadia Ameen (Editor), M. Shaheer Akhtar (Editor), Ing Kong (Editor)
Language: polski
Year: 2025
Subjects: Science & Technology, Engineering, Technology, Electrical & Electronic Engineering, Technology – General & Miscellaneous, Chemistry, Physics, Electronics – Microelectronics, Nanotechnology, Physical & Theoretical Chemistry, Solid State Physics – General & Miscellaneous
Publisher: Springer-Verlag New York, LLC
ISBN: 9789819606603
Total pages: 252

Description:

This book offers readers an extensive insight into advanced nanomaterials and their applications in the realm of energy generation and utilization. It places a specific emphasis on emerging nanomaterials and their diverse applications within energy-related sectors and sensor technology. The primary focus is on comprehending how these materials enhance the performance of energy storage devices and sensors. Furthermore, the book provides a comprehensive overview of the significant challenges faced in these areas and presents a forward looking perspective.
Comprising ten chapters, the book extensively explores the applications of nanomaterials in energy-related fields, specifically in solar cells, supercapacitors, sensors, and more. It caters to the needs of budding researchers involved in the synthesis of nanomaterials and post-graduate students interested in delving into the intricacies of nanomaterials.

Download from RapidGator
https://rapidgator.net/file/f68a0815a25afa1fbd9f74f1d1c3863a/7q83xocx61bay6z56lf7f4.pdf

Ambler S Refactoring Databases Evolutionary Database Design 2006

Ambler S Refactoring Databases Evolutionary Database Design 2006

General:

Name: Ambler S Refactoring Databases Evolutionary Database Design 2006
Format: pdf
Size: 1.85 MB

Book:

Title: 0321468058.pdf
Author: Scott Ambler, Pramod Sadalage
Language: angielski
Year: 2006
Subjects: Computers, Science & Technology, Engineering, Technology, Computer Programming, Database Management, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Software Engineering, Design & Development – Databases, Evolutionary Computation & Genetic Algorithms, Programming – General & Miscellaneous, General Software Engineering, Computer software->Development, Software Development * Programming
Publisher: Pearson Education
ISBN: 9780321630179
Total pages: 386

Description:

Refactoring has proven its value in a wide range of development projects-helping software professionals improve system designs, maintainability, extensibility, and performance. Now, for the first time, leading agile methodologist Scott Ambler and renowned consultant Pramodkumar Sadalage introduce powerful refactoring techniques specifically designed for database systems.

Ambler and Sadalage demonstrate how small changes to table structures, data, stored procedures, and triggers can significantly enhance virtually any database design-without changing semantics. You’ll learn how to evolve database schemas in step with source code-and become far more effective in projects relying on iterative, agile methodologies.

This comprehensive guide and reference helps you overcome the practical obstacles to refactoring real-world databases by covering every fundamental concept underlying database refactoring. Using start-to-finish examples, the authors walk you through refactoring simple standalone database applications as well as sophisticated multi-application scenarios. You’ll master every task involved in refactoring database schemas, and discover best practices for deploying refactorings in even the most complex production environments.

The second half of this book systematically covers five major categories of database refactorings. You’ll learn how to use refactoring to enhance database structure, data quality, and referential integrity; and how to refactor both architectures and methods. This book provides an extensive set of examples built with Oracle and Java and easily adaptable for other languages, such as C#, C++, or VB.NET, and other databases, such as DB2, SQL Server, MySQL, and Sybase.

Using this book’s techniques and examples, you can reduce waste, rework, risk, and cost-and build database systems capable of evolving smoothly, far into the future.

Download from RapidGator
https://rapidgator.net/file/aa5c6949b0323525ec71912e511afa86/o6xrbl7l2p777lga63i1a5.pdf

Amano T First-Principles and ML Learning Study of Anharmonic Vibration 2025

Amano T First-Principles and ML Learning Study of Anharmonic Vibration 2025

General:

Name: Amano T First-Principles and ML Learning Study of Anharmonic Vibration 2025
Format: pdf
Size: 15.29 MB

Book:

Title: First-Principles and Machine Learning Study of Anharmonic Vibration and Dielectric Properties of Materials
Author: Tomohito Amano
Language: angielski
Year: 2025
Subjects: Science & Technology, Mathematics, Mathematics – Applied
Publisher: Springer-Verlag New York, LLC
ISBN: 9789819640249
Total pages: 231

Description:

The book presents the author’s development of two first-principles methods to calculate dielectric properties of materials based on anharmonic phonon and machine learning, and demonstrates an in-depth analysis of anharmonic crystals and molecular liquids. The anharmonic phonon method, combined with Born effective charges, is useful to study dielectric properties of crystals. The recently developed self-consistent phonon theory (SCPH) enables accurate simulations in strongly anharmonic materials. The author reveals that the combination of SCPH with the four-phonon scattering term accurately reproduces experimental spectra, and discusses how anharmonic phonon self-energies affect the dielectric properties.
The second method is molecular dynamics with Wannier centers-the mass centers of Wannier functions. The author constructs a machine learning model that learns Wannier centers for each chemical bond from atomic coordinates to accurately predict the dipole moments. The developed method is, in principle, applicable to molecules of arbitrary size. Its effectiveness is demonstrated and the dielectric properties of several alcohols, including dipole moments, dielectric constants, and absorption spectra, are analyzed. This book benefits students and researchers interested in anharmonic phonons, machine learning, and dielectric properties.

Download from RapidGator
https://rapidgator.net/file/013e9c02251aa70ee64b2e8d7b74f1ec/qrf761dn16x5l8cs0y2dk7.pdf

Alzaidi Y The Pharmacist’s Expanded Role in Critical Care Medicine 2025

Alzaidi Y The Pharmacist’s Expanded Role in Critical Care Medicine 2025

General:

Name: Alzaidi Y The Pharmacist’s Expanded Role in Critical Care Medicine 2025
Format: pdf
Size: 45.39 MB

Book:

Title: The Pharmacist’s Expanded Role in Critical Care Medicine: A Comprehensive Guide for Practitioners and Trainees
Author: Yasir Alzaidi (Editor), Mohamed Abdelzaher Gebily (Editor)
Language: polski
Year: 2025
Subjects: Medicine & Nursing, Health-Related Professions, Pharmacy
Publisher: Springer-Verlag New York, LLC
ISBN: 9783031773358
Total pages: 1531

Description:

There are few textbooks aimed specifically at critical care pharmacists, particularly in terms of their potential role in diagnosis. Recognizing this important gap, the editors of this comprehensive book have gathered together 55 chapters that provide an overview of core aspects of critical care patient management from the pharmacist’s perspective. The chapters, written by an international team of more than 100 experts, provide an important update on the physiological and pathological mechanisms of key areas of critical illness and the diagnostic and therapeutic approaches to these conditions for the pharmacist. There are chapters focusing on specific diseases or conditions, including shock, acute liver failure, acute kidney injury, delirium, and acute pulmonary embolism; chapters on interpretation of diagnostic tests, such as radiology and electrocardiography; chapters on therapeutic interventions, including mechanical ventilation, intravenous fluids, renal replacement therapy, ECMO, nutrition, and blood transfusion; and chapters on specific groups of ICU patients, including obstetric, oncology, transplant, and burn patients. Two of the chapters, on the approach to clinical reasoning in critical care and sustainable pharmacy practice in the ICU, are unique chapters to pharmacy education and training.

Providing an up-to-date overview of topics related to critical care and emphasizing the importance of correct diagnosis in providing appropriate and optimal treatment, this collection will help prepare ICU pharmacists for their multifaceted responsibilities as members of the ICU team, including an expanded role in limiting misdiagnosis. This book will serve as a useful resource for all pharmacists involved in the management of critically ill patients, whatever their level of experience and training.

Download from RapidGator
https://rapidgator.net/file/a0707ae34a496cb61db11ac1c87ed500/or0d93x6gy1ld3q1h1x8v7.pdf

Altan G Deep Learning in Ad-Hoc Wireless Networks 2025

Altan G Deep Learning in Ad-Hoc Wireless Networks 2025

General:

Name: Altan G Deep Learning in Ad-Hoc Wireless Networks 2025
Format: pdf
Size: 8.06 MB

Book:

Title: Deep Learning in Ad-Hoc Wireless Networks
Author: Gokhan ALTAN · Ipek ABASIKELEŞ TURGUT
Language: polski
Year: 2025
Subjects: Computers, Database Management, Databases – General & Miscellaneous
Publisher: Springer-Verlag New York, LLC
ISBN: 9783031860751
Total pages: 128

Description:

This book presents innovative applications of deep learning techniques in wireless ad-hoc networks, addressing critical challenges such as trust, routing, traffic management, and intrusion detection. By combining advanced AI models with real-world network scenarios, the chapters explore novel solutions for improving network reliability, security, and efficiency. Readers benefit from a multidisciplinary approach that bridges deep learning and wireless communication, offering both theoretical insights and practical frameworks. Targeting researchers, engineers, and graduate students, this work serves as a valuable resource for understanding and implementing deep learning strategies to optimize modern wireless systems. Whether improving IoT networks, securing controller area networks, or enabling smart mobility, the book provides actionable knowledge on Deep Learning applications for solving current and future challenges in ad-hoc wireless networks.

Download from RapidGator
https://rapidgator.net/file/6596b770dd6fd519c49d4fa4ad22b9e0/2svjwg05e7167zm9sclg93.pdf

Alruwaili A Cybersecurity in Robotic Autonomous Vehicles 2025

Alruwaili A Cybersecurity in Robotic Autonomous Vehicles 2025

General:

Name: Alruwaili A Cybersecurity in Robotic Autonomous Vehicles 2025
Format: pdf
Size: 5.23 MB

Book:

Title: Cybersecurity in Robotic Autonomous Vehicles; Machine Learning Applications to Detect Cyber Attacks
Author: Ahmed Alruwaili
Language: polski
Year: 2025
Subjects: Computer Technology, Nonfiction
Publisher: CRC Press
ISBN: 9781041006404
Total pages: 107

Description:

Cybersecurity in Robotic Autonomous Vehicles introduces a novel intrusion detection system (IDS) specifically designed for AVs, which leverages data prioritisation in CAN IDs to enhance threat detection and mitigation. It offers a pioneering intrusion detection model for AVs that uses machine and deep learning algorithms.
Presenting a new method for improving vehicle security, the book demonstrates how the IDS has incorporated machine learning and deep learning frameworks to analyse CAN bus traffic and identify the presence of any malicious activities in real time with high level of accuracy. It provides a comprehensive examination of the cybersecurity risks faced by AVs with a particular emphasis on CAN vulnerabilities and the innovative use of data prioritisation within CAN IDs.
The book will interest researchers and advanced undergraduate students taking courses in cybersecurity, automotive engineering, and data science. Automotive industry and robotics professionals focusing on Internet of Vehicles and cybersecurity will also benefit from the contents.

Download from RapidGator
https://rapidgator.net/file/f3fa3648d440121cc1c7782b43991ee0/gh8q1i2jy399d9ee91e1vy.pdf