001434300 000__ 05313cam\a2200613\i\4500 001434300 001__ 1434300 001434300 003__ OCoLC 001434300 005__ 20230309003721.0 001434300 006__ m\\\\\o\\d\\\\\\\\ 001434300 007__ cr\nn\nnnunnun 001434300 008__ 210127s2021\\\\sz\a\\\\ob\\\\001\0\eng\d 001434300 019__ $$a1236267660$$a1241065867 001434300 020__ $$a9783030602659$$q(electronic book) 001434300 020__ $$a3030602656$$q(electronic book) 001434300 0247_ $$a10.1007/978-3-030-60265-9$$2doi 001434300 035__ $$aSP(OCoLC)1239684307 001434300 040__ $$aUKBTH$$beng$$erda$$epn$$cUKBTH$$dEBLCP$$dOCLCO$$dGW5XE$$dOCLCO$$dDKU$$dOCLCF$$dUKAHL$$dOCLCO$$dOCLCQ$$dCOM$$dOCLCQ 001434300 049__ $$aISEA 001434300 050_4 $$aR859.7.A78 001434300 08204 $$a610.28563$$223 001434300 24500 $$aDeep learning and edge computing solutions for high performance computing /$$cA. Suresh, Sara Paiva, editors. 001434300 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2021] 001434300 300__ $$a1 online resource (xii, 279 pages) :$$billustrations 001434300 336__ $$atext$$btxt$$2rdacontent 001434300 337__ $$acomputer$$bc$$2rdamedia 001434300 338__ $$aonline resource$$bcr$$2rdacarrier 001434300 347__ $$atext file 001434300 347__ $$bPDF 001434300 4901_ $$aEAI/Springer innovations in communication and computing,$$x2522-8595 001434300 504__ $$aIncludes bibliographical references and index. 001434300 5050_ $$aDeep Learning and Edge Computing Solution for High-Performance Computing / Vikram Rajpoot, Aditya Patel, Praveen Kumar Manepalli, and Akash Saxena -- Artificial Intelligence in Healthcare Databases / A.S. Keerthy and S. Manju Priya -- A Study of Dengue Disease Data by GIS in Kolkata City: An Approach to Healthcare Informatics / Sushobhan MajumdarEdge Computing: Next-Generation Computing / A.D.N. Sarma -- Edge Computing in Healthcare Systems / Madhura S. Mulimani and Rashmi R. Rachh -- Deep Stack Neural Networks Based Learning Model for Fault Detection and Classification in Sensor Data / M. Praneesh and R. Annamalai Saravanan -- Fuzzy Adaptive Intelligent Controller for AC Servo Motor / M. Vijayakarthick, A. Ganeshram, and S. Sathishbabu -- Deep Learning in Healthcare / L. Priya, A. Sathya, and S. Thanga Revathi -- Understanding Deep Learning: Case Study Based Approach / Manisha Galphade, Nilkamal More, V.B. Nikam, Biplab Banerjee, and Arvind W. Kiwelekar -- Deep Learning and its Applications: A Real-World Perspective / Lakshmi Haritha Medida and Kasarapu Ramani -- Applying Blockchain in Agriculture: A Study on Blockchain Technology, Benefits, and Challenges / Sandeep Kumar M, Maheshwari V, Prabhu J, Prasanna M, and R. Jothikumar -- Heterogenous Applications of Deep Learning Techniques in Diverse Domains: A Review / Desai Karanam Sreekantha and R.V. Kulkarni -- Healthcare Informatics to Analyze Patient Health Records, for Enabling Better Clinical Decision-Making and Improved Healthcare Outcomes / S. Sobitha Ahila -- Malaria Parasite Enumeration and Classification Using Convolutional Neural Networking / S. Preethi, B. Arunadevi, and V. Prasannadevi -- High-Performance Computing: A Deep Learning Perspective / Nilkamal More, Manisha Galphade, V.B. Nikam, and Biplab Banerjee. 001434300 506__ $$aAccess limited to authorized users. 001434300 520__ $$aThis book provides an insight into ways of inculcating the need for applying mobile edge data analytics in bioinformatics and medicine. The book is a comprehensive reference that provides an overview of the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to the healthcare field. Topics include deep learning methods for applications in object detection and identification, object tracking, human action recognition, and cross-modal and multimodal data analysis. High performance computing systems for applications in healthcare are also discussed. The contributors also include information on microarray data analysis, sequence analysis, genomics based analytics, disease network analysis, and techniques for big data Analytics and health information technology. Identifies deep learning techniques in mobile edge data analytics and computing environments suitable for applications in healthcare; Introduces big data analytics to the sources available and possible challenges and techniques associated with bioinformatics and the healthcare domain; Features advancements in the computing field to effectively handle and make inferences from voluminous and heterogeneous healthcare data. 001434300 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 15, 2021). 001434300 650_0 $$aMedical informatics. 001434300 650_0 $$aMachine learning. 001434300 650_0 $$aArtificial intelligence$$xMedical applications. 001434300 650_0 $$aEdge computing. 001434300 650_0 $$aHigh performance computing. 001434300 650_6 $$aMédecine$$xInformatique. 001434300 650_6 $$aApprentissage automatique. 001434300 650_6 $$aIntelligence artificielle en médecine. 001434300 650_6 $$aSuperinformatique. 001434300 655_0 $$aElectronic books. 001434300 7001_ $$aSuresh, A.,$$eeditor. 001434300 7001_ $$aPaiva, Sara,$$d1979-$$eeditor. 001434300 77608 $$iPrint version:$$z9783030602642 001434300 830_0 $$aEAI/Springer innovations in communication and computing,$$x2522-8595 001434300 852__ $$bebk 001434300 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-60265-9$$zOnline Access$$91397441.1 001434300 909CO $$ooai:library.usi.edu:1434300$$pGLOBAL_SET 001434300 980__ $$aBIB 001434300 980__ $$aEBOOK 001434300 982__ $$aEbook 001434300 983__ $$aOnline 001434300 994__ $$a92$$bISE