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Machine Learning in Information and Communication Technology de Hiren Kumar Deva Sarma

Machine Learning in Information and Communication Technology: Lecture Notes in Networks and Systems, cartea 498

Editat de Hiren Kumar Deva Sarma, Vincenzo Piuri, Arun Kumar Pujari
en Limba Engleză Paperback – 10 noi 2022

Notăm cu interes apariția volumului Machine Learning in Information and Communication Technology, o lucrare care sintetizează progresele metodologice prezentate în cadrul conferinței ICICT 2021. Abordarea editorilor, printre care se numără Vincenzo Piuri și Arun Kumar Pujari, se concentrează pe implementarea algoritmilor de învățare automată în infrastructuri critice, de la rețele de comunicații până la sisteme de diagnosticare medicală. Observăm o rigoare deosebită în prezentarea modelelor de arhitectură software, unde design patterns de tip Support Vector Machine (SVM) și rețele neuronale convoluționale sunt aplicate pe seturi de date reale, precum imaginile CT abdominale sau electrocardiogramele digitale.

Structura volumului reflectă o progresie logică, debutând cu o secțiune densă dedicată informaticii medicale (Healthcare Informatics). Aici, cititorul tehnic va găsi analize detaliate despre segmentarea tumorilor și detectarea leucemiei prin tehnici de procesare de imagine, trecând ulterior spre securitatea informației și aplicații AI. Dacă Machine Learning for Healthcare Informatics de Nazmul Siddique v-a oferit cadrul teoretic al transformării sistemului medical, această lucrare oferă instrumentele practice și studiile de caz necesare pentru validarea acestor tehnologii în medii de producție.

Această publicație continuă direcția de cercetare stabilită de Hiren Kumar Deva Sarma în lucrări anterioare precum IoT and Cloud Computing-Based Healthcare Information Systems sau Cyber Security: Issues and Current Trends. În timp ce volumele precedente explorau infrastructura și riscurile de securitate, titlul de față integrează aceste teme sub umbrela inteligenței artificiale, oferind o perspectivă matură asupra modului în care Machine Learning optimizează astăzi rețelele de telecomunicații și protocoalele de criptografie.

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Specificații

ISBN-13: 9789811950896
ISBN-10: 981195089X
Pagini: 360
Ilustrații: XVII, 342 p. 116 illus., 91 illus. in color.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.61 kg
Ediția:1st ed. 2023
Editura: Springer
Colecția Lecture Notes in Networks and Systems
Seria Lecture Notes in Networks and Systems

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte inginerilor de sistem și cercetătorilor care doresc să implementeze soluții de Machine Learning în domenii de înaltă precizie. Veți câștiga acces la metodologii testate pentru procesarea imaginilor medicale și securizarea rețelelor, beneficiind de un fundament tehnic solid pentru dezvoltarea de aplicații AI în sectorul sănătății și al comunicațiilor digitale.

Despre autor

Hiren Kumar Deva Sarma este un editor și cercetător proeminent, cu o activitate bogată în domeniul rețelelor de senzori wireless, securității cibernetice și sistemelor de calcul bazate pe cloud. Vincenzo Piuri, co-editor, este recunoscut la nivel internațional pentru contribuțiile sale în domeniul procesării semnalelor și arhitecturilor de calcul pentru aplicații industriale. Împreună cu Arun Kumar Pujari, aceștia au coordonat numeroase conferințe internaționale (precum ICICT și CCB), consolidând legătura dintre mediul academic și inovația tehnologică în domeniul TIC, cu un accent deosebit pe integrarea inteligenței artificiale în infrastructurile critice de comunicare.

Descriere scurtă

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.

Cuprins

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.

Notă biografică

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.

Caracteristici

Presents recent innovative research in the field of information and communication technology Provides results of ICICT 2021 organized in Sikkim, India, during December 2021 Serves as a reference for young scholars, researchers, and industry professionals