The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis. This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike.
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P. Paramasivan has been working as Director of Dhaanish Ahmed College of Engineering, Chennai, India. And he is an accomplished professor with extensive experience and he has dedicated his career to mentoring and educating students with a passion for engineering and technology. Over approximately 15 years, he has individually guided and motivated around 15,000 students in their pursuit of knowledge and success. Recognized as a self-driven and highly motivated teacher. He possesses a unique skill set in designing effective teaching and learning processes. His strategic approach to education has yielded exceptional results, earning him a trusted reputation among prestigious institutions in Chennai since 2008. His commitment to bridging the gap between academia and industry is commendable. He has played a pivotal role in establishing an industrial platform connecting students with top-tier hardware and software companies. Through collaborations with renowned organizations such as ZOHO, Ashok Leyland, Pyroferus Technologies, and Godrej, he has provided students invaluable opportunities to engage in research projects aligned with their interests.
S. Suman Rajest is the Dean of Research and Development (R&D) and International Student Affairs (ISA) at Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. He is an Editor in Chief of the International Journal of Human Computing Studies and The International Journal of Social Sciences World, He is the Chief Executive Editor of the International Journal of Advanced Engineering Research and Science, International Journal of Advanced Engineering, Management and Science, The International Journal of Health and Medicines, The International Journal of Management Economy and Accounting Fields and The International Journal of Technology Information and Computer and also he is an Editorial Board Member in International Journal of Management in Education, Scopus, Inderscience, EAI Endorsed Transactions on e-Learning, and Bulletin of the Karaganda university Pedagogy series. He is also a Book Series Editor at IGI Global Publisher, Springer, etc. All of his writing, including his research, involves elements of creative nonfiction in the Human Computing learning system. He is also interested in creative writing and digital media, Learning, AI, student health learning, etc. He has published 400 papers in peer-reviewed international journals. He has authored and co-authored several scientific book publications in journals and conferences and is a frequent reviewer of international journals and conferences. He also reviews Inderscience, EAI Journals, IGI Global, Science Publications, etc.
Karthikeyan Chinnusamy is Sr Principal with more than 25 years of experience in IT, Product Dev, R&D and Education fields. Fellow IETE, Fellow IE, Sr Member IEEE, Sr Member ACM, Project management Institute (PMI), Reviewer, Editorial Board Member of R&D Journals. Board Member & Program Director SF DAMA. SME in Data Governance, GDPR, HIPAA Compliance, Data Management, Data Architecture, Master Data, Data Quality, AI/ML, Analytics and reporting in Payment processing, Customer, Finance, CRM and License domains. Mentor in SFDC Mig, Data.com, ERP, Architecture, R&D, Embedded systems, VLSI,Adv Information processing. I am also reviewer for IEEE Silicon Valley Sr Member Elevation and Speaker, Volunteer for SFBay ACM. Reviewer of Journals in Springer Nature.
R. Regin , PhD, is affiliated with the SRM Instıtute of Science and Technology.
Ferdin Joe John Joseph , PhD, is currently affiliated with Thai-Nichi Institute of Technology.
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Paperback. Condition: new. Paperback. The rise of Artificial Intelligence (AI) amidst the backdrop of a world that is changing at lightning speed presents a whole new set of challenges. One of our biggest hurdles is more transparency in AI solutions. It's a complex issue, but one that we need to address if we want to ensure that the benefits of AI are accessible to everyone. Across diverse sectors such as healthcare, surveillance, and human-computer interaction, the inability to understand and evaluate AI's decision-making processes hinders progress and raises concerns about accountability. Cross-Industry AI Applications is a groundbreaking solution to illuminate the mysteries of AI-driven human behavior analysis. This pioneering book addresses the necessity of transparency and explainability in AI systems, particularly in analyzing human behavior. Compiling insights from leading experts and academics offers a comprehensive exploration of state-of-the-art methodologies, benchmarks, and systems for understanding and predicting human behavior using AI. Each chapter delves into novel approaches and real-world applications, from facial expressions to gesture recognition, providing invaluable knowledge for scholars and professionals alike. With its focus on explainable AI and its implications for decision-making, Cross-Industry AI Applications serves as a roadmap for navigating the complexities of human behavior analysis in the age of AI. By offering clarity and insight into AI algorithms and their impact on diverse industries, this book empowers readers to harness the full potential of AI while ensuring accountability and ethical practice. Join the forefront of AI research and innovation order your copy today and embark on a transformative journey into the future of human-AI interaction. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798369359525
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