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In the ever-evolving landscape of digital forensics and cybercrime investigation, staying ahead with the latest advancements is not just advantageous—it’s imperative. Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions serves as a crucial bridge, connecting the dots between the present knowledge base and the fast-paced developments in this dynamic field. Through a collection of meticulous research and expert insights, this book dissects various facets of digital forensics and cyber security, providing readers with a comprehensive look at current trends and future possibilities. Distinguished by its in-depth analysis and forward-looking perspective, this...
Artificial intelligence (AI) reshapes the entrepreneurial landscape by offering tools and insights to encourage innovation, transform ideas, and impact business owners’ mindsets. With AI's ability to analyze vast amounts of data, predict trends, and automate complex processes, entrepreneurs are now equipped to make more informed decisions, streamline operations, and discover new market opportunities. However, to fully harness AI's potential, there must be a concerted effort to democratize access to these technologies and provide the necessary skills and resources to aspiring founders. By fostering a culture of learning and experimentation, entrepreneurs may become empowered to explore the ...
As cyber threats become increasingly sophisticated, the need for innovative defense strategies becomes urgent. Generative artificial intelligence (AI) offers a revolutionary approach to enhance cybersecurity. By utilizing advanced algorithms, data analysis, and machine learning, generative AI can simulate complex attack scenarios, identify vulnerabilities, and develop proactive defense mechanisms while adapting to modern-day cyber-attacks. AI strengthens current organizational security while offering quick, effective responses to emerging threats. Decisive strategies are needed to integrate generative AI into businesses defense strategies and protect organizations from attacks, secure digita...
This book constitutes the refereed proceedings of the 15th International Conference on Information and Communications Security, ICICS 2013, held in Beijing, China, in November 2013. The 23 regular papers and 6 short papers were carefully reviewed and selected from 113 submissions. The papers are organized in topical sections on system security, Web security and worm detection, cloud storage security, virtualization for cloud computing, trusted and trustworthy computing, authentication and security protocols, intrusion detection and recovery, side channel attacks and defense, engineering issues of crypto, cryptanalysis, attribute-based encryption, and cryptographic primitives and applications.
Metaheuristic algorithms emerge as powerful tools for optimizing complex systems, particularly in neural networks, where traditional methods may cause challenges. In biomedical image processing, the integration of metaheuristics like genetic algorithms, particle swarm optimization, and differential evolution offers promising improvements in neural network performance. These algorithms help improve hyperparameters and optimize architectures, enhancing the accuracy of tasks like disease detection, image segmentation, and classification. Further research into this convergence between metaheuristic optimization and deep learning may help advance medical diagnostics and healthcare technologies. M...
Artificial Intelligence in Food Science Transforming Food and Bioprocess Development, looks at the advancements in both AI and Machine Learning (ML) and the potential for leveraging these latest technologies to optimize and elevate various aspects of the food sciences. From ingredient discovery and recipe formulation to flavor profiling, quality control and bioprocess optimization, Artificial Intelligence in Food Science Transforming Food and Bioprocess Development, will show nutritionists, food scientists and researchers and developers how they can enhance efficiency while innovating in their field. Through data analysis, predictive modelling, case studies and industry examples of successfu...
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Sophisticated technologies play a growing part in materials science. Artificial Intelligence in Polymer Science offers a comprehensive examination of the impact of artificial intelligence on polymer research and nanotechnology, encompassing AI-facilitated polymer synthesis and characterisation, as well as novel applications in drug delivery systems, nanomaterial design, and polymer informatics. This book provides insightful information on both present developments and potential future directions, with each chapter addressing subjects including AI-powered polymer sequence design, autonomous labs, and machine learning in material simulations. Professionals in the field will gain from pragmatic illustrations and innovative methodologies, rendering it a vital resource for researchers, engineers, and advanced scholars. This thorough understanding will transform the way AI integrates polymers and nanotechnology, spurring innovation and improving material properties—all of which will have a major impact on applications in the fields of healthcare, business, and the environment.