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Machine learning (ML) has revolutionized the field of bioinformatics, offering innovative tools and methodologies to tackle complex biological problems. In bioinformatics, data is often vast, diverse, and multidimensional, ranging from genomic sequences to protein structures, gene expressions, and clinical datasets. Machine learning techniques have proven essential in analyzing and extracting meaningful patterns from these enormous datasets. The use of ML in bioinformatics spans a broad spectrum of applications, from predicting protein structures and functions to identifying genetic variants associated with diseases. By leveraging supervised, unsupervised, and reinforcement learning algorith...
Welcome to the future of cyber security!!! In the digital age, where information reigns supreme and threats lurk in every byte, cyber security has become the cornerstone of a safe and connected world. Yet, securing this vast digital landscape requires more than just vigilance; it demands a deep understanding of the very structures that hold our data captive. This book bridges the gap between the abstract realm of data structures and the tangible world of cyber defense. We delve into the intricate workings of stacks, queues, trees, and graphs, not as mere academic exercises, but as powerful tools for building robust and resilient systems.Throughout these pages, you'll discover how data struct...
The book Defensive Cyberspace: Navigating the Landscape of Cyber Security contains 13 chapters. They are given as follows: 1. Introduction to Cyber Security 2. Foundations of Cyber Security 3. Cyber Threat Landscape 4. Risk Management in Cyber Security 5. Network Security 6. Endpoint Security 7. Identity and Access Management 8. Incident Response and Forensics 9. Security Awareness and Training 10. Securing Cloud Environments 11. Emerging Technologies and Cyber Security 12. International Cyber Security Collaboration 13. The Future of Cyber Security
Natural Language Processing (NLP) has become a cornerstone in extracting and interpreting human emotions and opinions from text data, and one of its significant applications is sentiment analysis. Sentiment analysis aims to automatically identify subjective information within text, often categorizing sentiments as positive, negative, or neutral. This ability to quantify opinion and emotion has garnered interest from a broad range of industries—marketing, healthcare, finance, and customer service, to name a few—as organizations increasingly rely on insights derived from unstructured data like social media posts, reviews, and feedback forms. The rise in data-driven decision-making further ...
This book contains 9 Chapters. Chapter 1 Introduction To 6G Technology Chapter 2 Fundamentals Of 6G Technology Chapter 3 Core Technologies In 6G Chapter 4 Beyond Speed: 6G Performance Metrics Chapter 5 Network Architecture and Topology In 6G Chapter 6 Security and Privacy In 6G Chapter 7 Global 6G Initiatives Chapter 8 Application and Use Cases of 6G Chapter 9 Challenges and Future Research Directions in 6G Appendices: Recommended Questions with Answers on 6G Recommended Further Readings and Resources
As organizations and businesses continue to expand in the cross-border and multicultural markets, culture needs to be taken into consideration. At present, culture introduces significant changes in the core assumptions of business practices and skill expectations. Gaining cross-cultural compatibility is now a serious concern for businesses and organizations. Appreciating the overall view of cross-cultural business environment, 'Handbook of Research on Cross-culture Business and Management' is a significant attempt to contribute a piece of knowledge on different aspects of cross-cultural business and management, facilitating practitioners and academicians to explore different cross-cultural business practices and develop competencies. This book will be a unique source for cross-cultural business and management practices, helping people of both industry and academia to understand the cross-cultural business environment and improve management practices.
Welcome to the forefront of modern cyber security – a landscape shaped and transformed by the relentless evolution of Artificial Intelligence (AI) and Deep Learning technologies. As we stand at the precipice of the digital era, the need for robust, intelligent defense mechanisms against cyber threats has never been more pressing. This book, "AI-Driven Cyber Security: Navigating the Digital Frontier with Deep Learning" embarks on a comprehensive journey through the intricate realm where cutting-edge AI meets the ever-evolving challenges of cyber security. In the interconnected world we inhabit, where data is the lifeblood of every organisation, the marriage of AI and cyber security becomes not just a choice but a necessity. Moreover, the book contains 8 chapters. They are: 1. Introduction to Cyber Security 2. Foundations of Cyber Security 3. Basics of AI and Deep Learning 4. AI in Cyber Security: An Overview 5. Deep Learning for Threat Detection 6. Natural Language Processing (NLP) in Cyber Security 7. Adversarial Machine Learning 8. Explainability and Transparency in AI Security
This book contains the proceedings of the International Conference on Law, Social Science, Economics, and Education (ICLSSEE 2023) on 6 May 2023 in Indonesia. This conference was held in collaboration with Nusantara Training and Research (NTR) at Universitas Borobudur, Jakarta, Indonesia. Papers from the conference are collected in a book of proceedings entitled: Proceedings of the International Conference on Law, Social Sciences, Economics, and Education (ICLSSEE 2023). Presentations from the conference covering these disciplines will provide a lot of inspiring input and new treasures on law, social sciences, economics, and education, especially after the Covid-19 Pandemic. Thus, it will co...
The Higher Education Institutions that run business management programs in Malaysia is under severe criticism from industry that the passing out management graduates do not have adequate practical exposure to the industry and lack of practical skills to deal industrial issues proactively as the catalyst of change. This indicates that the traditional management education curriculum, as presently constituted, may not be adequately preparing individuals for the challenges they experience as professional managers. To deal with this issue, many management institutes are adopting case study as a pedagogy, a hypothetical or actual business situation to formulate a recommended policy or decision based on the facts and figures provided, to induce practical exposure to the students by simulating case situations, which improve students analytical skills and decision-making skills. A case study in business management course is a rigorous analysis of an incident, situation, person, crisis or any such phenomenon or concept, in relation to industry, business or people in the organisations.