Intelligent and Secure Solutions for Digital Transformation offers a comprehensive exploration of cutting-edge technologies and methodologies at the intersection of cybersecurity and digital innovation. In an era where rapid digital transformation is reshaping industries, this book delivers timely insights into how organizations can secure their infrastructures while embracing intelligent, data-driven change.
Spanning 13 forward-thinking chapters, the book delves into topics such as artificial intelligence and machine learning in cybersecurity, secure IoT network design, trust modeling, cloud pentesting, and resilient ICS/SCADA systems in healthcare. It offers both theoretical foundations and real-world applications, making it a practical guide for researchers, professionals, and decision-makers.
The book offers comprehensive coverage of key topics, including the following
How AI-driven systems enhance threat detection, response, and automation in security operations
Strategic approaches to data privacy, governance, and compliance in the digital age
Best practices for integrating DevSecOps and securing the software development lifecycle
Intelligent frameworks for securing financial digital transformation and critical infrastructures
Simulation-based training environments and cloud pentesting methodologies to bolster cyber resilience
Emerging technologies like Deep Neural Collaborative Filtering (DNCF) and blockchain for secure, personalized e-commerce experiences
Authored by an international panel of experts and researchers, this volume not only identifies current cybersecurity challenges but also presents innovative, scalable, and secure solutions for tomorrow's digital ecosystem. Whether you're navigating the complexities of cloud infrastructure, IoT, or critical systems, this book is your guide to building intelligent, secure, and future-ready digital transformation strategies.
Napisane przez: charlie - 25-12-2025, 14:25 - Forum: Propozycje
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Analog Circuits Mastery : From Fundamentals To Ic Design-Ii
Published 12/2025
Created by Rajesh Agarwal
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 44 Lectures ( 4h 59m ) | Size: 1.56 GB
[/center] Deep understanding of practical analog circuit design & analysis, from basics to complex applications for Chip Design What you'll learn
Analyze any amplifier circuit from scratch using small-signal models to accurately predict its voltage gain and performance.
Determine the high-frequency limitations of any analog circuit by evaluating its frequency response and calculating key parameters like cut-off frequencies.
Calculate the input and output impedance of common amplifier configurations to optimize circuit-to-circuit connections for maximum signal transfer.
Design and evaluate fundamental analog amplifier circuits (like Common-Emitter) to meet specific design targets for gain and bandwidth.
Confidently explain the operation and performance trade-offs of fundamental analog circuits, preparing you to ace technical job interviews.
Master the complete AC analysis of fundamental semiconductor devices, from transistors to operational amplifiers.
Build and interpret Bode plots for analog circuits to visually assess their stability and performance across a wide range of frequencies. Requirements
No advanced knowledge is required to start this course, but to succeed you should have at least heard of a transistor (BJT/MOSFET). We will cover all the complex details you need from the very beginning.
The only "tool" you truly need is a notebook to practice the problems. Solving circuits by hand is a critical part of learning!.
While not mandatory to start, LTSPICE is used (a free and powerful simulation tool) to verify the designs. No prior simulation experience is needed.
Most importantly, you need a genuine desire to learn and master this fascinating subject! and also a curiosity about how modern electronics really work. If you have that, you are in the right place! Description
Are you an engineering student who dreams of a career at Intel, NVIDIA, Texas Instruments, or another global semiconductor giant?You've read the textbooks. You've sat through the lectures. But you know there's a huge gap between classroom theory and the practical, real-world skills that get you hired.This course is designed to be that bridge.I have stripped away the dense academic jargon and focused on the core, practical skills that hiring managers and technical interviewers are looking for. This isn't just another theory course; this is your gateway to a high-demand career in analog and IC design.By the end of this course, you will be able to:1. Master Small-Signal Models (The Right Way): Go beyond memorization. Learn to intuitively build and analyze small-signal models for MOSFETs, BJTs, and Op-Amps, just like a professional engineer.2. Conquer Frequency Response Analysis: Understand exactly how circuits behave at high speeds. We'll master Gain-Bandwidth Product, Cut-off Frequencies, and Bode plots-critical knowledge for any serious chip design role.3. Demystify Input & Output Impedance: This is a core interview topic that stumps many students. We will tackle it head-on so you can confidently explain and calculate impedance for any circuit.4. Design High-Gain Amplifiers Like a Pro: Move from basic analysis to practical design. You'll learn to build and optimize various amplifier configurations, maximizing gain and minimizing distortion.5. Ace the Technical Interview: Every module is built around concepts that frequently appear in technical interviews for analog, VLSI, and semiconductor roles. You won't just learn the material; you'll learn how to talk about it.This course is for YOU if:You are a 2nd, 3rd or 4th-year Electrical or Electronics Engineering student who wants a competitive edge.You are a recent graduate preparing for technical interviews in the semiconductor industry.You are a professional engineer looking to refresh or deepen your understanding of modern analog circuits.You find textbook explanations confusing and want a practical, application-focused approach.You are a acadmecian and you want to elevate your skills in analog circuit domain. Stop just learning the theory. It's time to build the skills that build careers.Enroll now and take the single most important step towards your future in the global semiconductor industry! Who this course is for
This course is for UG, PG and Phd Students including Teachers, Academicians, Administrators and industry peoples.
Ambitious 3rd & 4th Year Engineering Students (Electrical, Electronics - ECE, EEE, etc.): This course is your competitive edge. It will bridge the critical gap between university theory and the practical skills required to land top internships and jobs in the semiconductor industry.
Recent Graduates Preparing for Technical Interviews: If you are applying for roles in VLSI, analog design, or semiconductor companies, this course is your ultimate interview preparation tool. We focus on the core concepts that are frequently asked in technical rounds to give you confidence and clarity.
Professional Engineers Seeking a Career Shift or Refresher: Are you looking to transition into the high-demand field of analog IC design? Or perhaps you need to refresh your foundational knowledge for a new project? This course will provide the structured, comprehensive review you need.
Electronics Hobbyists and Enthusiasts: If you've mastered the basics and are ready to move beyond simple circuits to understand how high-performance electronics really work at a professional level, this course will take your skills to the next level.
Homepage
This book is intended to equip the reader with concept knowledge on multilinear regression methods, and develop technical skills while solving problems with the R programming language. The goal is not to become an expert in both directions. It is rather an incentive to do research on advanced models in data analysis once confidence is gained with the practice of some methods.
Basics in inferential statistics and basics in a programming language are necessary prerequisites to engage well with the content. We believe that using a computer is the only practical means of performing a linear or multilinear regression on a data set of even moderate size. Therefore, our purpose is to make these connections between theory, technology, and applications, as clear as possible.
Features
Focused summaries of the main statistical methods, followed by solved questions
Integration of R as a calculator, and as a programming language in solving each question with ease and accuracy
Use of simple coding that illustrates the connection to the theory
Suggest progressively alternative codes
Visualization and interpretation of the R outputs
Good Houses brings together the design process, building science and the environmental systems that can be used by both teachers and students in teaching and learning about designing good, 'responsible' houses. The book approaches housing design holistically by taking its environment as the starting point, integrating design processes more closely with architectural science and environmental systems.
Any building design can only be successful if these two aspects, among others, are considered as early as possible in the design process and inform the designer throughout the design process. The book does not provide prescriptions or definitive answers on what is the 'best' way to design a house. Instead, it aims to provide a structured way of what to consider at the different stages of the design process and the potential implications of the decisions made throughout this process. It aligns sustainable design principles with the stages in the design process and provides guidance on how these can be connected.
Using international examples to illustrate the concepts from a wide range of climatic conditions, the book is illustrated in full colour with over 200 plans, sections, diagrams and photographs. It is essential reading for those designing residential projects.
This book covers fused deposition modeling (FDM) from its fundamentals to research advances including developments in FDM machines, development of polymer materials, novel applications, process modeling, simulation, and optimization backed by case studies and research results.
It explains the effect of important FDM parameters on part quality, appropriate methods for testing and characterization of FDM-fabricated parts, FDM of composite materials, process monitoring and control. It also covers applications of FDM process in automobile, aerospace, biomedical, pharmaceutical, and tissue engineering.
Key features
Provides all the necessary fundamental details and advancements in FDM
Details novel ways of fabrication of complex and intrinsic parts by using different types of plastics and polymer materials
Covers fabrication of miniature devices by FDM
Discusses finite element analysis, modeling, optimization, and sustainability rating, for FDM
Includes monitoring and control, intelligent processing, and application of artificial intelligence (AI) and machine learning (ML)-based part fabrication
This book is aimed at graduate students and researchers in materials science and manufacturing.
Napisane przez: charlie - 25-12-2025, 14:20 - Forum: Propozycje
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[center]
English | 2020 | ISBN: 9781984642080 | 306 pages | True PDF | 24.61 MB
[/center]
Build knowledge that a person must achieve to lay and repair floor and wall tiles, tile corners and curved surfaces.
Enhance the knowledge, skills and desirable work attitude of a tile setter.
Subject matter has been fully revised in such a way that makes the concepts clear and understandable to readers.
Engineering Ingenuity: Instruction for High-Ability Learners in K-8 Classrooms offers a groundbreaking exploration of innovative strategies, interdisciplinary approaches, and cutting-edge technologies designed to empower gifted and talented students in STEM education.
This updated edition dives deeper into the intersection of engineering, creativity, and advanced cognitive abilities, providing educators with actionable frameworks to inspire the next generation of problem solvers and innovators. Chapters explore interdisciplinary learning by integrating science, mathematics, reading, and engineering design to create dynamic, inquiry-based experiences that foster critical thinking and innovation. This new edition also highlights the transformative potential of artificial intelligence and machine learning in personalized learning, addresses equity and inclusion in STEM by providing strategies to overcome barriers faced by underrepresented Black and Hispanic students, and emphasizes the importance of guided play in developing early math and spatial skills. Additionally, it explores problem-based learning to deeply engage students with engineering concepts, and enrichment opportunities that nurture their interests and talents.
Packed with evidence-based strategies, practical examples, and visionary insights, this comprehensive resource equips educators, administrators, and parents with the tools they need to transform K-8 classrooms into hubs of creativity, collaboration, and innovation, ensuring high-ability learners thrive in engineering and STEM fields.
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