Horizons in Computer Science

This book focuses on advances in computer science research. Chapter 1 is aimed at comparative analysis of the use of dark patterns in cookie consent banners. Chapter 2 explores deep learning techniques for reconstructing a 3D representation from a single 2D facial image. Chapter 3 explores the transformative role of various architectural approaches in the field of web UI engineering, focusing on the development of efficient and scalable web applications. Chapter 4 delves into the multifaceted approach required for success in Frontend engineering interviews in 2025. Chapter 5 discusses developing a chatbot augmented computational model to assist students in selecting a supervisor for postgraduate programs. Chapter 6 identifies the development direction and potential challenges in the field of autonomous driving in China using 18 academic papers sourced from two databases. Chapter 7 analyzes third-party data leaks on websites of religious communities. Chapter 8 aims to develop discriminative clustering techniques for use in market segmentation tasks. Finally, Chapter 9 explores the idea of how machine learning-based optimization strategies can improve software quality. It begins by emphasizing the shortcomings of traditional software quality assurance (SQA) methods.