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|a 10.1088/978-0-7503-4801-0
|2 doi
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|a Human-assisted intelligent computing :
|b modeling, simulations and applications /
|c edited by Mukhdeep Singh Manshahia, Igor S. Litvinchev, Gerhard-Wilhelm Weber, J. Joshua Thomas, Pandian Vasant.
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| 264 |
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|a Bristol, UK :
|b IOP Publishing,
|c [2023]
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|a 1 online resource (various pagings) :
|b illustrations (some color).
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|a IOP series in next generation computing
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|a "Version: 20230401"--Title page verso.
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|a Includes bibliographical references.
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|a 1. Machine learning algorithms to improve crop evapotranspiration prediction covering a broad range of environmental gradients in agriculture 4.0 : a review / Parijata Majumdar, Diptendu Bhattacharya, Sanjoy Mitra and Mukhdeep Singh Manshahia -- 2. Iris-based biometric cryptosystem / Ivan A. Matveev and Igor S. Litvinchev -- 3. Bio-inspired approaches for a combined economic emission dispatch problem / Pandian Vasant, Anirban Banik, J. Joshua Thomas, Jose Antonio Marmolejo-Saucedo, Ugo Fiore and Gerhard-Wilhelm Weber -- 4. Eigenvalue clustering for spectrum sensing : throughput and energy evaluation for cognitive radio-Internet of Things network / Manish Kumar Giri and Saikat Majumder -- 5. Modeling the evolution of complex networks arising in applications / Felix Sadyrbaev -- 6. Computing the intelligent privacy-engineered organization : a metamodel of effective information transparency enhancing tools/technologies / Ljerka Luic and Marta Alic -- 7. A model of cells' regeneration towards smart healthcare / Hiroshi Yoshida -- 8. Anomaly detection in location-based services / Jane Rubel Angelina Jeyaraj, Subhashini Sottallu Janakiram, Gayathri Narayana Yegnanarayanan and Yegnanarayanan Venkataraman -- 9. Optimized packing soft ellipses / T. Romanova, Yu Stoyan, A. Pankratov, I. Litvinchev, O. Kravchenko, Z. Duryagina, O. Melashenko and A. Chugai -- 10. Analysis of phishing attacks / Ladislav Burita, Kamil Halouzka and Pavel Kozak -- 11. Human-assisted intelligent computing and ecological modeling (drought early warning system) / Asmae Zbiri and Azeddine Hachmi -- 12. Attention mechanisms in machine vision : a survey of the state of the art / Abdul Mueed Hafiz -- 13. Sparse 2D packing in thermal deburring with shock waves acting effects / Sergiy Plankovskyy, Tatiana Romanova, Alexander Pankratov, Igor S. Litvinchev, Yevgen Tsegelnyk, Olga Shypul and Pandian Vasant -- 14. Implementation of smart manufacturing in small and medium-sized enterprises / Udai C. Jhaa and Abhijeet A. Shahadeb -- 15. Performance analysis of fractal image compression methods for medical images : a review / Parijata Majumdar, Sanjoy Mitra, Sayan Kumar Das and Pallavi Majumdar -- 16. Mobile edge computing for efficient energy management systems / Padmanayaki Selvarajan, Betty Elezebeth Samuel, Krishnamoorthy Ranganathan, Arvind Kumar Shukla, M. Amina Begum and Sundaram Arun -- 17. Modeling 3D nanocomposites with multi-spherical inclusions by optimized packing / E. Strelnikova, T. Romanova, A. Pankratov, I. Litvinchev and K. Degtyariov -- 18. Sentiment analysis for web series using deep learning techniques in the times of COVID-19 / Muskan Dixit and Saravjeet Singh -- 19. Generalized receiver : signal processing in DS-CDMA wireless communication systems over fading channels / Vyacheslav Tuzlukov -- 20. Critical success factors for successfully implementation of smart manufacturing in the context of Industry 4.0 / U.C. Jha -- 21. An efficient heart disease diagnosis prediction model using decision tree classifiers : Streamlit / D. Doreen Hephzibah Miriam, C.R. Rene Robin, Rachel Nallathamby and B. Yamini -- 22. Mathematical and informational support of decision-making in risk management of cross-border high technology projects / Marina Batova, Irina Baranova, Vyacheslav Baranov, Sergey Mayorov, Oleg Korobchenko and Kai Zhao -- 23. Artificial intelligence (AI) in the era of precision medicine / Fathinul Fikri Ahmad Saad, Shazreen Shaharudin, Mohd Nawawi Abdullah, Rabiatul Adawiyah, Amirul Tajuddin, Ahmad Danial Ahmad Shahrir, Khairul Alif Khairumman and Syed Ejaz Shamim Syed Reyaz Uddin Ahmed -- 24. Optimal choice for convenience store chain in Vietnam / Nguyen Thi Ngan and Bui Huy Khoi -- 25. Study of groundwater using hydrodynamic models / Irina Polshkova -- 26. Long-term fatigue assessment of offshore monopile structure under corrosive environmental condition / Chana Sinsabvarodom, Wonsiri Punurai, Pornpong Asavadorndeja and Jin Wang -- 27. Estimation of crop water use in agricultural systems / R. Deepa and Mukhdeep Singh Manshahia -- 28. IOT based healthcare monitoring system for smart city applications / S.C. Dharmadhikari, Afshan Kausar, Mahendra Deore, Nilofer Shrenik Kittad, V.S. Bhagavan and R. Krishnamoorthy -- 29. Smart healthcare : the new digital revolution in medical management / Parameswaran Radhika Ravi and Ravi Ramaswamy -- 30. Adequate implementation of simulation tools for enhancement performance on existing network infrastructure devices (OPNET) / Yakubu Ajiji Makeri -- 31. Artificial intelligence based garbage monitoring system (GMS) for garbage management using integrated sensors / C. Gomathi, A. Adaikalam and T. Kavitha -- 32. Use of Internet of Things technology in the medical field during the pandemic era / Ashish Verma and Sherry N Siddiqui -- 33. Performance comparison of data security algorithms / M. Sumathi, R. Narmadha and G.D. Anbarasi Jebaselvi.
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|a Human-assisted computation, also called humanized or human-based computing, harnesses human intelligence to solve computational problems that are beyond the scope of existing artificial intelligence (AI) algorithms by outsourcing certain steps to humans. This approach exploits differences in abilities between humans and computer agents, creating a symbiotic human-computer interaction, and can be helpful in solving many AI-complete problems. This edited book focuses on well-known and new methodologies of optimization techniques in human-assisted computing that are used to resolve some of the very complicated and hard problems we face today. Excitingly, techniques originally developed for solutions in engineering, science and technology are being applied to areas of economics, finance and, especially the social sciences. The book reviews present and developing deep model-based methods of mathematics and the less model-based, also called smart or intelligent algorithms, with their roots in engineering, computer science or informatics and how combining the strengths of humans and computers can create powerful solutions. Bridging several scientific disciplines, this book will be essential reading for scientists, engineers and applied mathematicians alike. Part of IOP Series in Next Generation Computing.
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|a Mukhdeep Singh Manshahia, is an Assistant Professor at Punjabi University Patiala, Punjab, India. He is working in sustainable computing, artificial intelligence, wireless sensor networks, the Internet of Things (IoT), Nature inspired computing, energy harvesting and renewable energy systems. He has edited two books. He has 15 years of working experience at universities. He is an associate editor of the International Journal of Energy Optimization and Engineering (IJEOE) and a reviewer of many WoS journals. He is a member of the Computer Society of India, IEEE and IAENG. Professor Igor Litvinchev received his MSc degree in applied mathematics from Moscow Institute of Physics and Technology (Fizteh), Russia; PhD in systems theory and operations research and Dr. Sci(Habilitation) in systems modeling and optimization from Computing Center, Russian Academy of Sciences (CCAS), Moscow. He is currently a Professor at Nuevo Leon State University, Mexico and a Leading Mathematician at CCAS. His research is focused on large-scale systems modeling, optimization and control as well as on their applications in interdisciplinary research. Professor Litvinchev is an author of four books and an editor of five more. He has published more than 90 research papers in leading international journals and served in Program and Organizing Committees for more than 40 international conferences. His research was supported by more than 30 grants from NATO Scientific Affairs Division and European Community; ISF (USA) and RFBR (Russia); CNPq and FAPESP (Brasil); BRFBR (Belarus); CONACYT, PROMEP and PAICYT (Mexico). Professor Litvinchev is a member of the Russian Academy of Natural Sciences and the Mexican Academy of Sciences. He is the co-founder of the Mexican Society of Operations Research and the Mexican Logistics and Supply Chain Association. Gerhard-Wilhelm ('Willi') Weber, PhD, is a Professor at the Institute of Applied Mathematics (IAM) of METU, Ankara. His research is on OR, financial mathematics, economics, optimization and data mining, but also on life sciences, education and development. He received his Diploma and Doctorate in mathematics, and economics/business administration, at RWTH Aachen, and his Habilitation in mathematics at TU Darmstadt. He held Professorships by proxy at the University of Cologne, and TU Chemnitz, Germany. He is also a member of five further graduate schools, institutes and departments of METU. He has affiliations at the universities of Siegen, Ballarat, Aveiro and North Sumatra, and he is an 'Advisor to EURO Conferences'. At IFORS, he is chair of the 'OR for Developing Countries' online resources and regional correspondent for EURO of IFORS Newsletter. He serves EURO Working Group on OR for Development (EWG ORD), EURO Working Groups on Continuous Optimization (EUROPT) and EURO Working Group Methodology of Societal Complexity as 'honorary chair'. Dr. J. Joshua Thomas, is a senior lecturer at UOW Malaysia KDU Penang University College, Malaysia. He obtained his PhD (intelligent systems techniques) in 2015 from University Sains Malaysia, Penang, and his Master's degree in 1999 from Madurai Kamaraj University, India. From July to September 2005, he worked as a research assistant at the Artificial Intelligence Lab at University Sains Malaysia. From March 2008 to March 2010, he worked as a research associate at the same University. Currently, he is working with machine learning, big data, data analytics, and deep learning, especially targeting on convolutional neural networks and bi-directional recurrent neural networks for image tagging with embedded natural language processing, end-to-end steering learning systems and GAN. His work involves experimental research with software prototypes and mathematical modeling and design He is an editorial board member for the Journal of Energy Optimization and Engineering, and invited guest editor for the Journal of Visual Languages Communication. He was recently invited as a guest with Computer Methods and Programs in Biomedicine. He has published more than 40 papers in leading international conference proceedings and peer-reviewed journals. Dr. Pandian Vasant holds BSc (Hons, II Class UPPER) in mathematics, an MSc (engineering mathematics), and PhD (UNEM, Costa Rica) in computational intelligence (By Research). Universidad Empresarial de Costa Rica (UNEM) is accredited by: IAU (International Association of Universities), UNESCO (United Nations Educational, Scientific and Cultural Organization), THE UNITED NATIONS and BQS (Board of Quality Standards)/BPS/IQIHE (International Quality Institute for Higher Education). Dr. Pandian Vasant is an Editor-in-Chief of IJEOE (ESCI/WoS). He holds a PhD in computational intelligence (UNEM, Costa Rica), MSc (UMS, Malaysia, engineering mathematics) and BSc (Hons) in mathematics (MU, Malaysia). His research interests include soft computing, hybrid optimization, innovative computing and applications. He has co-authored numerous research articles in journals, conference proceedings and book chapters. Currently, he is Editor-in-Chief of the International Journal of Energy Optimization & Engineering, and a Member of AMS (USA), NAVY Research Group (TUO, Czech Republic) and MERLIN Research Group (TDTU, Vietnam).
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|a Professional and scholarly.
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|a Title from PDF title page (viewed on May 2, 2023).
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|a Human computation.
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|a Artificial intelligence.
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|a artificial intelligence.
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|a Artificial intelligence.
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|a Human computation
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|a Manshahia, Mukhdeep Singh,
|e editor.
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|a Litvinchev, I. S.,
|e editor.
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|a Thomas, J. Joshua,
|d 1973-
|e editor.
|1 https://id.oclc.org/worldcat/entity/E39PCjw897fgHVPXcQcxwYJKq3
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|a Vasant, Pandian,
|e editor.
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|a Weber, Gerhard-Wilhelm,
|e editor.
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|a Institute of Physics (Great Britain),
|e publisher.
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|i Print version:
|z 9780750347990
|z 9780750348027
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|a IOP series in next generation computing.
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|u https://ebookcentral.proquest.com/lib/holycrosscollege-ebooks/detail.action?docID=31252834
|y Click for online access
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