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Artificial Intelligence and Crime
Rapid advancements in Generative Artificial Intelligence (like ChatGPT and LLMs) are fundamentally reshaping the landscape of both criminal activity and law enforcement. Artificial Intelligence and Crime collates seminal and insightful published materials into a single, accessible volume. Currently, scholarship exploring the dual dimensions of AI and the critical intersections is emerging rapidly but remains dispersed across various journals, conference proceedings, and edited volumes. This curated collection will provide readers with a structured understanding of how AI is used maliciously, how it can be leveraged to fight crime, the complex legal challenges it poses, and the ethical consid...
Soft Computing and Signal Processing
This book presents selected research papers on current developments in the fields of soft computing and signal processing from the Third International Conference on Soft Computing and Signal Processing (ICSCSP 2020). The book covers topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning and discusses various aspects of these topics, e.g., technological considerations, product implementation and application issues.
Advances in Artificial Intelligence and Machine Learning in Big Data Processing
This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023. The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections: Part I- artificial intelligence and data analytics; deep learning. Part II- artificial intelligence and data analytics; machine learning.
Cases on Security, Safety, and Risk Management
In the landscape of security, safety, and risk management, businesses grapple with challenges that extend beyond traditional financial considerations. The identification, analysis, and control of risks are pivotal elements for a business's sustainability, yet a comprehensive understanding of these components remains elusive. Stakeholders, including students, scholars, and practitioners, yearn for a resource that not only highlights the timeliness of risk management. Cases on Security, Safety, and Risk Management is the ideal resource for businesses navigating the complex landscape of risk. It positions security and safety as integral components of successful business practices. The prevailin...
Intelligent Manufacturing and Energy Sustainability
This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2022) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during June 24–25, 2022. It covers topics in the areas of automation, manufacturing technology, and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy, and energy sustainability.
Trends in Communication Technologies and Engineering Science
Comprised of research articles written for a major international conference, this book covers the state-of-the-art in communication systems and engineering science. Topics covered include network management, wireless networks, electronics, and many others.
Intersecting Environmental Governance With Technological Advancements
In today’s rapidly advancing technological landscape, where environmental issues are more pressing than ever, the relationship between technology and environmental governance is essential for addressing sustainability concerns. Environmental governance provides the frameworks and mechanisms needed for effective environmental management, serving as the foundation of efforts to achieve sustainability. Technology, in turn, plays a transformative role by introducing innovative solutions that enhance environmental monitoring, assessment, and management practices. It is important to integrate these technological advancements within governance frameworks to create a more sustainable and resilient...
Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies
This book presents the collection of the accepted research papers presented in the 1st ‘International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)’. This edited book contains the articles related to the themes on artificial intelligence in machine learning, big data analysis, soft computing techniques, pattern recognitions, sustainable infrastructural development, sustainable grid computing and innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).
The Convergence of Self-Sustaining Systems With AI and IoT
Picture a world where autonomous systems operate continuously and intelligently, utilizing real-time data to make informed decisions. Such systems have the potential to revolutionize agriculture, urban infrastructure, and industrial automation. This transformation, often termed the Internet of Self-Sustaining Systems (IoSS), is a pivotal topic that demands academic attention and exploration. Addressing this critical issue head-on is The Convergence of Self-Sustaining Systems With AI and IoT, which offers an in-depth examination of this transformative convergence. It serves as a guiding light for academic scholars seeking to unravel the vast potential of self-sustaining systems coupled with AI and IoT. Inside its pages, readers will delve into AI-driven autonomous agriculture, eco-friendly transportation solutions, and intelligent energy management. Moreover, the book explores emerging technologies, security concerns, ethical considerations, and governance frameworks. Join us on this intellectual journey and position yourself at the forefront of the AI and IoT revolution that promises a sustainable, autonomous future.
AI, IoT, and Blockchain Breakthroughs in E-Governance
There is now a plethora of internet of things (IoT) devices on the market that can connect to the internet and the desired environment to produce sufficient and reliable data that is required by the government administration for a variety of purposes. Additionally, the potential benefits of incorporating artificial intelligence (AI) and machine learning into governance are numerous. Governments can use AI and machine learning to enforce the law, detect fraud, and monitor urban areas by identifying problems before they occur. The government can also use AI to easily automate processes and replace mundane and repetitive tasks. AI, IoT, and Blockchain Breakthroughs in E-Governance defines and emphasizes various AI algorithms as well as new internet of things and blockchain breakthroughs in the field of e-governance. Covering key topics such as machine learning, government, and artificial intelligence, this premier reference source is ideal for government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.
