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Novel Developments in Futuristic AI-based Technologies de Manoj Sahni

Novel Developments in Futuristic AI-based Technologies: Algorithms for Intelligent Systems

Editat de Manoj Sahni, José M. Merigó, Walayat Hussain
en Limba Engleză Paperback – 21 iul 2024

Descoperim în Novel Developments in Futuristic AI-based Technologies o structură progresivă care translatează conceptele teoretice de inteligență artificială în implementări tehnice riguroase. Volumul, publicat de Springer în seria Algorithms for Intelligent Systems, este organizat pentru a ghida cititorul de la fundamentarea matematică a algoritmilor către aplicații sectoriale complexe. Găsim în paginile sale o abordare tehnică a sistemelor de decizie, unde analiza riscului fuzzy este utilizată pentru optimizarea proceselor industriale prin Value Stream Mapping, iar modelele Markowitz sunt extinse prin procese ierarhice multicriteriale pentru selecția portofoliilor financiare.

Elementul distinctiv al acestei lucrări rezidă în diversitatea implementărilor: de la securizarea infrastructurii IoT prin emiterea de chei anonime, până la soluții de „Digital Life” destinate persoanelor cu deficiențe de vedere. Cititorul care a aplicat ideile din Artificial Intelligence for Intelligent Systems va găsi aici o continuare necesară, trecând de la conceptele generale de smart city la specificații de nișă, precum utilizarea rețelelor neuronale hibride ARANFIS pentru prognoze economice. De asemenea, lucrarea completează perspectivele din Recent Trends in Intelligent Computing and Communication, punând un accent mai pronunțat pe componenta de calcul paralel și optimizarea algoritmilor prin OpenMP.

Poziționată în continuarea preocupărilor editorilor pentru modelarea matematică — vizibile și în Neural Networks, Machine Learning, and Image Processing — această apariție din 2023 rafinează utilizarea logicii fuzzy și a tehnicilor de machine learning în contexte critice. Ritmul este cel al unei lucrări de referință științifică, unde fiecare capitol funcționează ca un studiu de caz tehnic, oferind fundamentul matematic necesar pentru a susține inovațiile digitale prezentate.

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Specificații

ISBN-13: 9789819930784
ISBN-10: 9819930782
Pagini: 284
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.49 kg
Editura: Springer
Colecția Algorithms for Intelligent Systems
Seria Algorithms for Intelligent Systems

De ce să citești această carte

Această carte se adresează cercetătorilor și inginerilor care au nevoie de modele matematice validate pentru implementarea AI în domenii precum securitatea cloud, finanțe și asistență socială. Cititorul câștigă acces la metodologii specifice de paralelizare a algoritmilor și tehnici avansate de criptografie, oferind un avantaj competitiv în dezvoltarea de sisteme inteligente care necesită rigoare și scalabilitate în mediul digital actual.

Despre autor

Manoj Sahni, José M. Merigó și Walayat Hussain sunt cercetători cu o expertiză vastă în modelarea matematică și sistemele inteligente. Activitatea lor editorială comună se concentrează pe intersecția dintre inteligența computațională și aplicațiile practice în energie regenerabilă, securitate cibernetică și analiză numerică. Prin lucrări precum Applied Mathematical Modeling and Analysis in Renewable Energy sau volumele dedicate rețelelor neuronale, aceștia au contribuit constant la dezvoltarea algoritmilor de decizie multicriterială și a sistemelor fuzzy, facilitând transferul tehnologic de la teorie la soluții industriale globale.

Cuprins

Fuzzy Risk Analysis Assessment Applied to Value Stream Mapping.- The Financial Portfolio Selection using the Multiple Criteria Hierarchical Process and the Markowitz Model.- Forecasting the Exchange Rate in Diffuse Time Series by Hybridization of the OWA Operator in an Adaptive ARANFIS Neuronal Network.- Parallelizing RP2-NGSA-II for the Multicriteria Ranking Problem of Sets of Medium-sized Alternatives Through OpenMP.- Study of Some Properties and Behavior of the Group of Signed Quadratic Residues and Its Applications to Cryptography.- A Bibliometric Analysis of Problem Structuring Between 1980 and 2019.- An Improved Approach in Cloud-Assisted IoT Infrastructure with Anonymous Key Issuing.- Internet of Things based Digital Life to Provide Assisted Living for Visually Challenged Persons.- Impact of Information and Communication Technology on Tourist Spending.- Smartphone Retail-purchase Buying Intentions: Investigation of Planned Behaviour in Indian Context.- Simulation with aLean approach in Industry 5.0.

Notă biografică

Dr. Manoj Sahni is working as an Associate Professor and Head at the Department of Mathematics, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India. He has more than eighteen years of teaching and research experience. He holds an M.Sc. degree in Mathematics from Dayalbagh Educational Institute (Deemed University), Agra, M.Phil. from I.I.T. Roorkee, and a Ph.D. degree in Mathematics from Jaypee Institute of Information Technology (Deemed University), Noida, India. He has published more than 80 research papers in peer-reviewed journals, conference proceedings, and chapters with reputed publishers like Springer, Elsevier, etc. He has published five research books with reputed publishers like Springer, Taylor & Francis and others. He also serves as Reviewer for many international journals of repute. He is also an editorial board member of many reputed journals. He has conducted the first, second, and third International Conferences on Mathematical Modeling, Computational Techniques, and Renewable Energy in 2020, 2021, and 2022, respectively. He has contributed to the scientific committee of several conferences and associations. He has delivered many expert talks at the national and international levels. He has organized many seminars, workshops, and short-term training programs at PDEU and various other universities. He has also organized a special Symposium at an International Conference (AMACS2018) on Fuzzy Set Theory: New Developments and Applications to Real-Life Problems held in London, UK, in 2018. He is a Member of many international professional societies, including the American Mathematical Society, SIAM, MAA, IEEE, Forum for Interdisciplinary Mathematics, Indian Mathematical Society, IAENG, and many more.



Dr. José M. Merigó (Highly Cited Researcher in Computer Science) is Full Professor at the School of Systems, Management, and Leadership at the Faculty of Engineering and Information Technology at the University of Technology Sydney and Part-Time Full Professor at the Department of Management Control and Information Systems at the School of Economics and Business at the University of Chile. Previously, he was Senior Research Fellow at the Manchester Business School, University of Manchester (UK), and Assistant Professor at the Department of Business Administration at the University of Barcelona (Spain). He holds a Master's and a Ph.D. degrees in Business Administration from the University of Barcelona. He also holds a B.Sc. and M.Sc. degrees from Lund University (Sweden). He has published more than 400 articles in journals, books, and conference proceedings, including journals such as Information Sciences, European Journal of Operational Research, IEEE Transactions on Fuzzy Systems, Expert Systems with Applications, International Journal of Intelligent Systems, Applied Soft Computing, Computers & Industrial Engineering, and Knowledge-Based Systems. He has also publishedseveral books with Springer and with World Scientific. He is on the editorial board of several journals including Applied Soft Computing, Technological and Economic Development of Economy, Journal of Intelligent & Fuzzy Systems, International Journal of Fuzzy Systems, Kybernetes and Economic Computation, and Economic Cybernetics Studies and Research. He has also been Guest Editor for several international journals, Member of the scientific committee of several conferences, and Reviewer in a wide range of international journals. Recently, Thomson & Reuters (Clarivate Analytics) has distinguished him as Highly Cited Researcher in Computer Science (2015-2017). He is currently interested in decision making, aggregation operators, computational intelligence, and bibliometrics and applications in business and economics.



Dr. Walayat Hussain is the Head of the Discipline of Information Technology at Peter Faber Business School, Australian Catholic University, Australia. He has an academic and industry experience of more than 18 years. Before joining the ACU, he was a Lecturer at Victoria University Melbourne, Lecturer and a Post-doctoral Research Fellow at the University of Technology Sydney for seven years. He worked as an Assistant Professor and postgraduate program coordinator at the department of Computer Science at BUITEMS University for many years. He holds a PhD, Master, Postgraduate Diploma, and Bachelor's (Hons.) degrees in Computing and Information Systems. Walayat's research areas are Service Computing, Business Intelligence, AI, Information Systems, Computational Intelligence, Machine Learning, and Decision Support Systems. He has contributed to theory and application and developed a new approach for making an optimal informed decision in complex systems. He has published more than 80 high-quality research document in various top-ranked ERA-A*, A, ABDC- A, JCR/SJR Q1 journals. He is currently an Associate Editors for the IET- Communications and Forecasting, international journals, and has been guest editors for more than 25 international journals.  He has served as the General Chair. Co-General Chair in multiple international conferences. He is a fellow of European Alliance for Innovation.  He has won multiple national and international research awards and recognitions. He is the recipient of the prestigious National Research Award by the Government of Oman 2021, the VUBS Award for Excellence in Research 2022, the Best Paper Award at IoTaaS Australia 2021, the Best Paper Awards at 3PGCIC 2015, 2016 Poland, South Korea, and FEIT HDR Publication Award by the UTS Australia, 2016.

Textul de pe ultima copertă

The book offers many ideas based on the artificial intelligence techniques, fueled by digital technologies that can be implemented in human lives to make them smarter and more intelligent to survive in this rapidly changing world. This book contains diverse applications based on intelligence systems, such as in the development of innovative digital technologies based on cloud-based infrastructure, agriculture supply-chain management, technology that enables the visually impaired to live more comfortably and confidently in their daily lives. It contains new techniques of encryption and decryption, development of various decision-making systems, artificial intelligence techniques in medical areas, etc. This book addresses newly developed technologies and key ideas for new theory which can be used in the development of more advanced and intelligent world for better future.

Caracteristici

Presents new artificial intelligence techniques Discusses new techniques of encryption and decryption Serves as a reference for researchers and practitioners in academia and industry