Cantitate/Preț
Produs
Total produse
Vezi coșul
Advances in Artificial-Business Analytics and Quantum Machine Learning de Kc Santosh

Advances in Artificial-Business Analytics and Quantum Machine Learning

Editat de Kc Santosh, Poonam Nandal, Sandeep Kumar Sood, Hari Mohan Pandey
en Limba Engleză Hardback – 19 oct 2024

Prin parcurgerea acestui volum, cititorul va dobândi capacitatea de a implementa modele hibride ce îmbină puterea de calcul a sistemelor cuantice cu rigoarea analizei de business moderne. Advances in Artificial-Business Analytics and Quantum Machine Learning nu se limitează la prezentări teoretice, ci oferă o perspectivă tehnică asupra modului în care algoritmii de învățare automată pot fi optimizați pentru infrastructuri cuantice, vizând direct eficiența decizională în organizații complexe. Descoperim aici o structură riguroasă, bazată pe cele mai recente cercetări prezentate la conferința Com-IT-Con 2023, unde accentul cade pe interoperabilitatea dintre securitatea cibernetică, data science și realitatea augmentată.

Suntem de părere că această lucrare reprezintă un punct de inflexiune în literatura de specialitate prin modul în care tratează ingineria inteligenței artificiale. Complementar volumului Unlocking Quantum Information Technology, care se concentrează pe strategiile de management, titlul de față merge mai adânc în zona tehnică a sistemelor de informații, oferind detalii despre arhitectura datelor și protocoalele de securitate necesare în era post-clasică. În comparație cu Innovative Computing Vol 1 - Emerging Topics in Artificial Intelligence, care are o arie de acoperire mai largă în rețele de comunicații, volumul editat de Kc Santosh și echipa sa este mult mai specific în nișa analizei de afaceri asistate de procesarea cuantică.

În contextul operei editorilor, această apariție din 2024 extinde temele abordate în Applied Artificial Intelligence. Dacă lucrarea anterioară punea accent pe aplicații sectoriale precum agricultura sau educația, volumul actual ridică ștacheta către frontiera computațională, integrând mecanica cuantică în fluxurile de lucru de business analytics pentru a rezolva probleme de optimizare care, până recent, erau considerate insolubile.

Citește tot Restrânge

Preț: 112876 lei

Preț vechi: 141094 lei
-20%

Puncte Express: 1693

Carte disponibilă

Livrare economică 14-28 mai

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9789819748594
ISBN-10: 9819748593
Pagini: 348
Ilustrații: XX, 480 p. 100 illus.
Dimensiuni: 160 x 241 x 24 mm
Greutate: 0.75 kg
Ediția:2024
Editura: Springer
Locul publicării:Singapore, Singapore

De ce să citești această carte

Această carte este esențială pentru cercetătorii și profesioniștii din ingineria AI care doresc să înțeleagă tranziția de la computarea clasică la cea cuantică în mediul de business. Cititorul câștigă acces la studii de caz recente și metodologii de securizare a datelor prin algoritmi avansați, obținând un avantaj competitiv în proiectarea sistemelor de analiză predictivă de ultimă generație.

Despre autor

Editorii volumului sunt experți recunoscuți în domeniul inteligenței artificiale aplicate. Kc Santosh, alături de Poonam Nandal, Sandeep Kumar Sood și Hari Mohan Pandey, au coordonat numeroase proiecte de cercetare ce vizează integrarea tehnologiilor emergente în sectoare critice. Activitatea lor se concentrează pe transformarea conceptelor complexe de machine learning în soluții scalabile pentru industrie. Prin colaborarea lor în cadrul conferinței Com-IT-Con, aceștia facilitează dialogul între mediul academic și cel profesional, aducând în prim-plan inovații din zona securității cibernetice și a analizei de date la nivel global.

Descriere scurtă

The book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers the topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cybersecurity, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of artificial intelligence engineering.
 

Notă biografică

Prof. KC Santosh, a highly accomplished AI expert, is Chair of the Department of Computer Science as well as Founding Director of the Applied AI Research Lab at the University of South Dakota. He served as a research fellow at the National Institutes of Health. Before that, he worked as a postdoctoral research scientist at the LORIA research centre, Universitè de Lorraine in direct collaboration with industrial partner, ITESOFT, France. He earned his PhD in Computer Science - Artificial Intelligence from INRIA Nancy Grand East Research Centre (France). With funding of more than $2.1 million (sources: SDBOR, SDGRFP, DOE, and NSF), he has authored 10 books and published more than 250 peer-reviewed research articles. He is an associate editor of multiple prestigious journals such as IEEE Transactions on AI, Int. J of Machine Learning & Cybernetics, and Int. J of Pattern Recognition & Artificial Intelligence. To name a few, Prof. Santosh is the proud recipient of the Cutler Award for Teaching and Research Excellence (USD, 2021), the President's Research Excellence Award (USD, 2019) and the Ignite Award from the U.S. Department of Health & Human Services (HHS, 2014). As the founder of AI programs at USD, he has taken significant strides to increase enrollment in the graduate program, resulting in a growth of over 3, 000% in just three years. His leadership has helped build multiple inter-disciplinary AI/Data Science related academic programs, including collaborations with Biology, Physics, Biomedical Engineering, Sustainability and Business Analytics departments. Prof. Santosh is highly motivated in academic leadership, and his contributions have established USD as a pioneer in AI programs within the state of SD.
Dr. Poonam Nandal is an esteemed academic and researcher with an impressive career spanning over 17 years. Her academic journey reached its pinnacle with a Ph.D. in Computer Science & Engineering from YMCA University of Science & Technology in 2017. Complementing this, she holds a Master's degree in Computer Engineering from Maharishi Dayanand University, Rohtak, showcasing a comprehensive educational background. Dr. Nandal scholarly impact is evidenced by her substantial contributions, including 6 patents and more than 40 research papers published in esteemed conferences and peer-reviewed journals. These publications are indexed in renowned databases such as Scopus, WoS, EBSCO, and UGC Care, underscoring her dedication to advancing knowledge in her field. Beyond her research, she actively participates in advisory and editorial capacities for respected peer-reviewed journals.
Sandeep Kumar Sood received the Ph.D. degree in computer science and engineering from IIT Roorkee, Roorkee, India, in 2010. He is currently working as a Head and an Associate Professor in the Department of Computer Applications, N.I.T. Kurukshetra, Haryana, India. He has authored or coauthored more than 115 SCI/SCIE indexed research publications. According to Google Scholar, the citation number is, with an h-index equal to 34 and i10-index equal to 96. His research interests include network and information security, fog computing, cloud computing, IoT, and big data analytics.
Hari is in data science and artificial intelligence at the school of technology Bournemouth University, UK. He was featured in the World Ranking list of Top 2% scientists by Stanford University. He is specialized in Computer Science & Engineering. His research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning, and computer vision. Hari is the author of various books in computer science engineering (algorithms, programming and evolutionary algorithms). Hari has published over 150 scientific papers in reputed journals and conferences. He is serving in the editorial board of reputed journals as action editor, associate editor, and guest editor. He is a reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI etc. Hari has delivered expert talks as keynote and invited speaker. He is a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and has a rich teaching experience at the higher education level. He has been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015”, award for completing INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher-education. In the past, he has worked as a sr. lecturer in the computer science department at Edge Hill University, UK. He also worked as a postdoctoral research fellow in machine learning at the school of technology at Middlesex University London where he worked on a European Commission project- DREAM4CARS
 

Caracteristici

Includes selected papers from the 3rd International Conference on COM-IT-CON 2023 Highlights trends, perspectives, and prospects in cloud and parallel computing Discusses applications of new, emerging techniques for practitioners and researchers