libri scuola books Fumetti ebook dvd top ten sconti 0 Carrello


Torna Indietro

deva sarma hiren kumar (curatore); piuri vincenzo (curatore); pujari arun kumar (curatore) - machine learning in information and communication technology
Zoom

Machine Learning in Information and Communication Technology Proceedings of ICICT 2021, SMIT

; ;




Disponibilità: Normalmente disponibile in 15 giorni


PREZZO
237,98 €
NICEPRICE
226,08 €
SCONTO
5%



Questo prodotto usufruisce delle SPEDIZIONI GRATIS
selezionando l'opzione Corriere Veloce in fase di ordine.


Pagabile anche con Carta della cultura giovani e del merito, 18App Bonus Cultura e Carta del Docente


Facebook Twitter Aggiungi commento


Spese Gratis

Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Springer

Pubblicazione: 11/2022
Edizione: 1st ed. 2023





Trama

This book presents collection of research papers presented at International Conference on Information and Communication Technology (ICICT 2021) organized by Department of Information Technology, Sikkim Manipal Institute of Technology, Sikkim, India, during 23–24 December 2021. The book includes papers in the research area of communication networks, data science, healthcare informatics, bio-medical image processing, security of information including cryptography, machine learning applications, and AI applications.





Sommario

Part 1: Healthcare Informatics.- Chapter 1. Earth Mover’s Distance Based Automated Disease Tagging of Indian ECGs.- Chapter 2. Cardial Disease Prediction in Multi-variant Systems: A Short Survey.- Chapter 3. SVM-based pre-and post-treatment cancer segmentation from lung and abdominal CT images via neighbourhood-influenced features.- Chapter 4. Blood Cancer Detection with Microscopic Images using Machine Learning.-Chapter 5. A Survey on Leukemia Detection: A Machine Learning Approach.- Chapter 6. Periocular Region Recognition - A Brief Survey.- Chapter 7. A Bibliometric Analysis on the relationship between Emotional Intelligence, Self-Management and Health Information Seeking.- Chapter 8. Preferences in the Detailing Process Among Young and Senior Physicians.- Chapter 9. Perceptual Difference Patient & Physician on Negative Aspects of Social Media.- Chapter 10. AUTCD-Net: An Automated Framework for Efficient Covid-19 Diagnosis on Computed Tomography Scans.- Chapter 11. Computer aided detection of brain midline using CT images.- Chapter 12. Deep neural network based classification of ASD and neuro-typical subjects using functional connectivity features derived from resting state fMRI data.- Chapter 13. Application of Deep Learning in Healthcare.- Part 2: Recommendation Systems.- Chapter 14. A Popularity-based Recommendation System using Machine Learning.- Chapter 15. Machine Learning based Movies and Shows Recommendation System. etc.





Autore

Prof. Hiren Kumar Deva Sarma is Professor in the Department of Information Technology, Gauhati University, Assam, India. He received Bachelor of Engineering in Mechanical Engineering from Assam Engineering College, Guwahati, Assam (1998). He completed Master of Technology in Information Technology from Tezpur University, Assam (2000). He received Doctor of Philosophy (in Computer Science & Engineering) from Jadavpur University, West Bengal (2013). He has co-authored three books, edited four book volumes, and published more than eighty research papers in different International Journals and refereed International and National Conferences of repute. He is the recipient of the Young Scientist Award from International Union of Radio Science (URSI) in the XVIII General Assembly 2005, held at New Delhi, India and has received IEEE Early Adopter Award in 2014. His current research interests are networks, network security, robotics and big data analytics.  

 

Prof. Vincenzo Piuri is an Italian scientist. He is IEEE Fellow and ACM Distinguished Scientist.  He is known for his work in the field of information processing, with specific focus on artificial intelligence, computational intelligence, signal/image processing, biometrics, industrial applications, measurement systems, arithmetic units and fault-tolerant architectures. He received his M.S. and Ph.D. in Computer Engineering from Politecnico di Milano, Italy. He is Full Professor at the University of Milan, Italy (since 2000), where he was also Department Chair (2007–2012). He was Associate Professor at Politecnico di Milano, Italy (1992–2000), Visiting Professor at the University of Texas at Austin, USA (summers 1996–1999), and visiting researcher at George Mason University, USA (summers 2012–2019). He founded a start-up company, Sensure srl, in the area of intelligent systems for industrial applications (leading it from 2007 until 2010) and was active in industrial research projects with several companies.

 

Prof. Arun K Pujari is Former Professor and Dean of the School of Computer and Information Sciences at the University of Hyderabad (UoH). He has been Vice-Chancellor of the Central University of Rajasthan (2015–2020) and Vice-Chancellor of Sambalpur University, Odisha (20082011). He joined the UoH as Reader in 1985 and became a professor in 1990. Prior to joining University of Hyderabad, he served JNU, New Delhi. He completed his postgraduation from the Sambalpur University in 1974 and got his Ph.D. from IIT-Kanpur in 1980. He has more than 25 years' experience as Vice-Chancellor, Dean, Head of Department, and other administrative positions. He has served several high-level bodies of UGC, DST, DRDO, ISRO and AICTE. He has wide exposure in the national and international arena, and he has been invited to University of Tokyo, Japan,University of Paris-Sud, France, Griffith University, Australia, Memphis University, USA and IIST, United Nations University, Macau on different visiting assignments. He has more than 100 publications to his credit and his book, Data Mining Techniques, was a popular textbook adopted by several universities in India and abroad.










Altre Informazioni

ISBN:

9789811950896

Condizione: Nuovo
Collana: Lecture Notes in Networks and Systems
Dimensioni: 235 x 155 mm
Formato: Brossura
Illustration Notes:XVII, 342 p. 116 illus., 91 illus. in color.
Pagine Arabe: 342
Pagine Romane: xvii


Dicono di noi





Per noi la tua privacy è importante


Il sito utilizza cookie ed altri strumenti di tracciamento che raccolgono informazioni dal dispositivo dell’utente. Oltre ai cookie tecnici ed analitici aggregati, strettamente necessari per il funzionamento di questo sito web, previo consenso dell’utente possono essere installati cookie di profilazione e marketing e cookie dei social media. Cliccando su “Accetto tutti i cookie” saranno attivate tutte le categorie di cookie. Per accettare solo deterninate categorie di cookie, cliccare invece su “Impostazioni cookie”. Chiudendo il banner o continuando a navigare saranno installati solo cookie tecnici. Per maggiori dettagli, consultare la Cookie Policy.

Impostazioni cookie
Rifiuta Tutti i cookie
Accetto tutti i cookie
X