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Khan A Mechanism and Genetic Susceptibility of Neurological Disorders 2024

General:

Name: Khan A Mechanism and Genetic Susceptibility of Neurological Disorders 2024
Format: pdf
Size: 13.85 MB

Book:

Title: Mechanism and Genetic Susceptibility of Neurological Disorders
Author: Andleeb Khan
Language: polski
Year: 2024
Subjects: Medical, Science, Nonfiction
Publisher: Springer Nature Singapore
ISBN: 9789819994038
Total pages: 425

Description:

This book is about the "Mechanism and Genetic susceptibility of Neurological disorders. It is a comprehensive exploration, penned by esteemed authors, and offers a profound understanding of these enigmatic ailments, their progression, and the strategic approaches employed to mitigate their impact. In this book, readers will uncover a wealth of knowledge surrounding the mechanistic intricacies that underlie various neurological disorders. Through meticulous research and insightful analysis, the authors elucidate the inner workings of these conditions, shedding light on the mechanisms responsible for their onset and progression. The central themes of this book are the recognition of the genetic landscape governing neurological disorders. It emphasizes the role played by a diverse array of genes in the development and progression of these conditions, highlighting the multifaceted genetic susceptibility that underlies their manifestation. ​

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Khan A Introducing Microsoft Copilot for Managers 2024

General:

Name: Khan A Introducing Microsoft Copilot for Managers 2024
Format: pdf
Size: 59.28 MB

Book:

Title: Introducing Microsoft Copilot for Managers
Author: Adeel Khan
Language: angielski
Year: 2024
Subjects: Computer Technology, Nonfiction
Publisher: Apress
ISBN: 9798868804182
Total pages: 695

Description:

Embark on an exhilarating journey through the digital landscape with Microsoft Copilots, a suite of AI-powered tools that help you create, edit, and optimize content, code, and data across various Microsoft platforms. This book will be your indispensable guide to harnessing the power of generative AI within the Microsoft ecosystem, introducing you to various copilots and their impact on your business processes. The book will guide you as a manager to leverage Microsoft Copilot to improve your personal productivity, your team’s productivity, and achieve your business goals with success.
This book is organized into five parts. The first part introduces you to Microsoft Copilot and its features and benefits. In the second part, you will get an overview of the integration of Microsoft Copilot with M365 tools. The third part teaches you about the maker copilot in Power Platform services followed by the business expert copilot for Sales and Service for Business Applications such as Dynamics 365 and Salesforce. The book also introduces you to Copilot Studio to help you extend the copilots or build your own.
By the end of this book, you will have a solid understanding of Microsoft Copilot and how to use copilots effectively and efficiently with various transformation platforms. You will also have a collection of tips, tricks, and best practices to help you get the most out of Microsoft Copilot.

What Will You Learn

Set up and activate Microsoft Copilot on various Microsoft platforms

Use Microsoft Copilot to generate and enhance content, code, and data with M365, Power Platform, and Business Applications tools

Understand tips, tricks, and best practices to get the most out of Microsoft Copilot

Build your own copilot using your own organization data

Who This Book Is For
Managers, team leaders, and business practitioners who want to improve their and their team’s productivity and creativity with Microsoft platforms

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Khamparia A Explainable Artificial Intelligence Biomedical Healthcare 2025

General:

Name: Khamparia A Explainable Artificial Intelligence Biomedical Healthcare 2025
Format: pdf
Size: 31.5 MB

Book:

Title: Explainable Artificial Intelligence for Biomedical and Healthcare Applications
Author: Edited by Aditya Khamparia and Deepak Gupta
Language: angielski
Year: 2024
Subjects: Technology, Nonfiction
Publisher: CRC Press
ISBN: 9781032114897
Total pages: 303

Description:

This reference text helps us understand how the concepts of explainable artificial intelligence (XAI) are used in the medical and healthcare sectors. The text discusses medical robotic systems using XAI and physical devices having autonomous behaviors for medical operations. It explores the usage of XAI for analyzing different types of unique data sets for medical image analysis, medical image registration, medical data synthesis, and information discovery. It covers important topics including XAI for biometric security, genomics, and medical disease diagnosis.
This book:

Provides an excellent foundation for the core concepts and principles of explainable AI in biomedical and healthcare applications.

Covers explainable AI for robotics and autonomous systems.

Discusses usage of explainable AI in medical image analysis, medical image registration, and medical data synthesis.

Examines biometrics security-assisted applications and their integration using explainable AI.The text will be useful for graduate students, professionals, and academic researchers in diverse areas such as electrical engineering, electronics and communication engineering, biomedical engineering, and computer science.

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Khamis A Optimization Algorithms (MEAP v12) 2024

General:

Name: Khamis A Optimization Algorithms (MEAP v12) 2024
Format: pdf
Size: 75.51 MB

Book:

Title: Optimization Algorithms
Author: welcome.html
Language: polski
Year: 2024
Subjects: Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Computer Programming, Programming Languages, Artificial Intelligence – General, Programming – General & Miscellaneous, Scripting Languages, Python (Computer program language)
Publisher: Manning
ISBN: 9781638355632
Total pages: 767

Description:

Solve design, planning, and control problems using modern AI techniques.

Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems.

In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn:

• The core concepts of search and optimization
• Deterministic and stochastic optimization techniques
• Graph search algorithms
• Trajectory-based optimization algorithms
• Evolutionary computing algorithms
• Swarm intelligence algorithms
• Machine learning methods for search and optimization problems
• Efficient trade-offs between search space exploration and exploitation
• State-of-the-art Python libraries for search and optimization

Inside this comprehensive guide, you’ll find a wide range of optimization methods, from deterministic search algorithms to stochastic derivative-free metaheuristic algorithms and machine learning methods. Don’t worry-there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world. Plus, get hands-on experience with practical exercises to optimize and scale the performance of each algorithm.

About the technology

Every time you call for a rideshare, order food delivery, book a flight, or schedule a hospital appointment, an algorithm works behind the scenes to find the optimal result. Blending modern AI methods with classical search and optimization techniques can deliver incredible results, especially for the messy problems you encounter in the real world. This book shows you how.

About the book

Optimization Algorithms explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge AI techniques. You will learn how to apply modern optimization algorithms to real-world problems like pricing products, matching supply with demand, balancing assembly lines, tuning parameters, coordinating mobile networks, and cracking smart mobility challenges.

What’s inside

• Graph search algorithms
• Metaheuristic algorithms
• Machine learning methods
• State-of-the-art Python libraries for optimization
• Efficient trade-offs between search space exploration and exploitation

About the reader

Requires intermediate Python and machine learning skills.

About the author

Dr. Alaa Khamis is an AI and smart mobility technical leader at General Motors and a lecturer at the University of Toronto.

The technical editor on this book was Frances Buontempo.

Table of Contents

PART 1
1 Introduction to search and optimization
2 A deeper look at search and optimization
3 Blind search algorithms
4 Informed search algorithms
PART 2
5 Simulated annealing
6 Tabu search
PART 3
7 Genetic algorithms
8 Genetic algorithm variants
PART 4
9 Particle swarm optimization
10 Other swarm intelligence algorithms to explore
PART 5
11 Supervised and unsupervised learning
12 Reinforcement learning
Appendix A
Appendix B
Appendix C

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Khamis A Optimization Algorithms AI techniques for design, 2024 Final

General:

Name: Khamis A Optimization Algorithms AI techniques for design, 2024 Final
Format: pdf
Size: 116.15 MB

Book:

Title: Optimization Algorithms
Author: Alaa Khamis
Language: polski
Year: 2024
Subjects: Computers, Science & Technology, Engineering, Technology, Artificial Intelligence (AI), Robotics & Artificial Intelligence, Computer Programming, Programming Languages, Artificial Intelligence – General, Programming – General & Miscellaneous, Scripting Languages, Python (Computer program language)
Publisher: Manning
ISBN: 9781638355632
Total pages: 669

Description:

Solve design, planning, and control problems using modern AI techniques.

Optimization problems are everywhere in daily life. What’s the fastest route from one place to another? How do you calculate the optimal price for a product? How should you plant crops, allocate resources, and schedule surgeries? Optimization Algorithms introduces the AI algorithms that can solve these complex and poorly-structured problems.

In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn:

• The core concepts of search and optimization
• Deterministic and stochastic optimization techniques
• Graph search algorithms
• Trajectory-based optimization algorithms
• Evolutionary computing algorithms
• Swarm intelligence algorithms
• Machine learning methods for search and optimization problems
• Efficient trade-offs between search space exploration and exploitation
• State-of-the-art Python libraries for search and optimization

Inside this comprehensive guide, you’ll find a wide range of optimization methods, from deterministic search algorithms to stochastic derivative-free metaheuristic algorithms and machine learning methods. Don’t worry-there’s no complex mathematical notation. You’ll learn through in-depth case studies that cut through academic complexity to demonstrate how each algorithm works in the real world. Plus, get hands-on experience with practical exercises to optimize and scale the performance of each algorithm.

About the technology

Every time you call for a rideshare, order food delivery, book a flight, or schedule a hospital appointment, an algorithm works behind the scenes to find the optimal result. Blending modern AI methods with classical search and optimization techniques can deliver incredible results, especially for the messy problems you encounter in the real world. This book shows you how.

About the book

Optimization Algorithms explains in clear language how optimization algorithms work and what you can do with them. This engaging book goes beyond toy examples, presenting detailed scenarios that use actual industry data and cutting-edge AI techniques. You will learn how to apply modern optimization algorithms to real-world problems like pricing products, matching supply with demand, balancing assembly lines, tuning parameters, coordinating mobile networks, and cracking smart mobility challenges.

What’s inside

• Graph search algorithms
• Metaheuristic algorithms
• Machine learning methods
• State-of-the-art Python libraries for optimization
• Efficient trade-offs between search space exploration and exploitation

About the reader

Requires intermediate Python and machine learning skills.

About the author

Dr. Alaa Khamis is an AI and smart mobility technical leader at General Motors and a lecturer at the University of Toronto.

The technical editor on this book was Frances Buontempo.

Table of Contents

PART 1
1 Introduction to search and optimization
2 A deeper look at search and optimization
3 Blind search algorithms
4 Informed search algorithms
PART 2
5 Simulated annealing
6 Tabu search
PART 3
7 Genetic algorithms
8 Genetic algorithm variants
PART 4
9 Particle swarm optimization
10 Other swarm intelligence algorithms to explore
PART 5
11 Supervised and unsupervised learning
12 Reinforcement learning
Appendix A
Appendix B
Appendix C

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Khameel M Practical Finite Element Simulations with SOLIDWORKS 2022

General:

Name: Khameel M Practical Finite Element Simulations with SOLIDWORKS 2022
Format: pdf
Size: 66.3 MB

Book:

Title: Practical Finite Element Simulations with SOLIDWORKS 2022
Author: Khameel B. Mustapha
Language: angielski
Year: 2022
Subjects: Computers, Computer Programming, Systems Analysis and Design – Programming
Publisher: Packt Publishing
ISBN: 9781801816809
Total pages: 494

Description:

SOLIDWORKS is a dominant computer-aided design (CAD) software for the 3D modeling, designing, and analysis of components. This book helps you get to grips with SOLIDWORKS Simulation, which is a remarkable and integral part of SOLIDWORKS predominantly deployed for advanced product performance assessment and virtual prototyping.
With this book, you’ll take a hands-on approach to learning SOLIDWORKS Simulation with the help of step-by-step guidelines on various aspects of the simulation workflow. You’ll begin by learning about the requirements for effective simulation of parts and components, along with the idealization of physical components and their representation with finite element models. As you progress through the book, you’ll find exercises at the end of each chapter, and you’ll be able to download the geometry models used in all the chapters from GitHub. Finally, you’ll discover how to set up finite element simulations for the static analysis of components under various types of loads, and with different types of materials, from simple isotropic to composite, and different boundary conditions.
By the end of this SOLIDWORKS 2022 book, you’ll be able to conduct basic and advanced static analyses with SOLIDWORKS Simulation and have practical knowledge of how to best use the family of elements in the SOLIDWORKS Simulation library.

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Khalil M Effective Data Analysis Hard and soft skills (MEAP V9) 2024

General:

Name: Khalil M Effective Data Analysis Hard and soft skills (MEAP V9) 2024
Format: pdf
Size: 48.83 MB

Book:

Title: Effective Data Analysis MEAP V09
Author: Mona Khalil
Language: polski
Year: 2016
Subjects: N/A
Publisher: Wydawnictwo: O’Reilly Media
ISBN: 9781491951811
Total pages: 409

Description:

Why does poor software quality continue to plague enterprises of all sizes in all industries? Part of the problem lies with the process, rather than individual developers. This practical guide provides ten best practices to help team leaders create an effective working environment through key adjustments to their process.As a follow-up to their popular book, Building Maintainable Software, consultants with the Software Improvement Group (SIG) offer critical lessons based on their assessment of development processes used by hundreds of software teams. Each practice includes examples of goalsetting to help you choose the right metrics for your team.Achieve development goals by determining meaningful metrics with the Goal-Question-Metric approachTranslate those goals to a verifiable Definition of DoneManage code versions for consistent and predictable modificationControl separate environments for each stage in the development pipelineAutomate tests as much as possible and steer their guidelines and expectationsLet the Continuous Integration server do much of the hard work for youAutomate the process of pushing code through the pipelineDefine development process standards to improve consistency and simplicityManage dependencies on third party code to keep your software consistent and up to dateDocument only the most necessary and current knowledge

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Khade S Future of AI in Biomedicine and Biotechnology 2024

General:

Name: Khade S Future of AI in Biomedicine and Biotechnology 2024
Format: pdf
Size: 9.93 MB

Book:

Title: Biotechnologia
Author: Stefan Russel
Language: polski
Year: 1990
Subjects: N/A
Publisher: Wydawnictwo: Wydawnictwo Naukowe PWN
ISBN: 8301101342
Total pages: 376

Description:

Biotechnologia jest nowoczesną dziedziną wiedzy integrującą osiagniecia biochemii, genetyki, mikrobiologii, biologii molekularnej, ekonomii i techniki w celu praktycznego wykorzystania organizmów żywych w rożnych dziedzinach przemysłowych.

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