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ROADMAP TO THIS BOOK The structure of this book is carefully crafted to guide you step-by-step through the modern interview journey: Section I: The New Landscape of Tech Hiring This section helps you understand how hiring processes have changed in the age of AI. From how resumes are parsed by ATS bots to how AI tools are used in assessments, it lays the foundation for modern-day interview expectations. Section II: Cracking the Core – Problem Solving & Data Structures This section dives into data structures and algorithms, the bedrock of technical interviews. It includes smart approaches to practicing LeetCode, pattern-based problem solving, and optimizing time/space complexity—plus a ref...
This book aims to provide a comprehensive examination, analysis, and reflection on digitalization strategies, technologies, and management practices that drive successful digital transformation, in addition to the challenges encountered. Digital transformation is fundamentally transforming the landscape of business systems, driving innovation and efficiency within businesses. Topics included are cloud computing, Big Data analytics, Internet of Things (IoT), robotic process automation (RPA), and digital twin technology. This book will also address the leadership strategies, organizational culture, and change management process necessary to facilitate digital transformation. Case studies across industries will highlight successful digital transformation efforts ad common pitfalls. This book is designed for business leaders, managers, and researchers interested in leveraging digital transformation for sustained competitive advantage.
This book focuses on the implementation of AI for growing business, and the book includes research articles and expository papers on the applications of AI on decision-making, health care, smart universities, public sector and digital government, FinTech, and RegTech. Artificial Intelligence (AI) is a vital and a fundamental driver for the Fourth Industrial Revolution (FIR). Its influence is observed at homes, in the businesses and in the public spaces. The embodied best of AI reflects robots which drive our cars, stock our warehouses, monitor our behaviors and warn us of our health, and care for our young children. Some researchers also discussed the role of AI in the current COVID-19 pandemic, whether in the health sector, education, and others. On all of these, the researchers discussed the impact of AI on decision-making in those vital sectors of the economy.
The text covers emerging technologies and innovations in the field, such as hybrid solar thermal systems, advanced materials for collectors, novel heat storage solutions, and advancements in concentrating solar power (CSP) technologies. It presents artificial intelligence and machine learning techniques for solar thermal system optimization. Key Features: Discusses the use of smart technologies such as artificial intelligence and machine learning in transforming solar thermal systems by enhancing their efficiency, reliability, and cost-effectiveness Provides insights into optimization techniques for online testing of parameters for solar dryers, AI-based predictive modeling for accurate sola...
This book constitutes the refereed proceedings of the International Conference on Business and Technology (ICBT2021) organized by EuroMid Academy of Business and Technology (EMABT), held in Istanbul, between November 06–07, 2021. In response to the call for papers for ICBT2021, 485 papers were submitted for presentation and inclusion in the proceedings of the conference. After a careful blind refereeing process, 292 papers were selected for inclusion in the conference proceedings from forty countries. Each of these chapters was evaluated through an editorial board, and each chapter was passed through a double-blind peer-review process. The book highlights a range of topics in t...
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Structure and Organization The book is structured into eleven comprehensive chapters, each addressing a key thematic area where AI intersects with psychology: Chapters 1–3 introduce the foundations: the historical context, the core technologies (AI, machine learning, NLP, etc.), and the significance of AI in research and cognitive modeling. Chapters 4–7 explore domain-specific applications: clinical psychology, behavioral analysis, cognitive assessment, educational psychology, and developmental tracking. Chapter 8 focuses on AI’s role in cultural and social psychology, sentiment analysis, group behavior, and bias detection. Chapter 9 dives deep into neuropsychology and brain-computer i...