001451131 000__ 06086cam\a2200685\i\4500 001451131 001__ 1451131 001451131 003__ OCoLC 001451131 005__ 20230310004644.0 001451131 006__ m\\\\\o\\d\\\\\\\\ 001451131 007__ cr\cn\nnnunnun 001451131 008__ 221112s2022\\\\si\a\\\\o\\\\\100\0\eng\d 001451131 019__ $$a1350690435 001451131 020__ $$a9789811940446$$q(electronic bk.) 001451131 020__ $$a9811940444$$q(electronic bk.) 001451131 020__ $$z9789811940439 001451131 020__ $$z9811940436 001451131 0247_ $$a10.1007/978-981-19-4044-6$$2doi 001451131 035__ $$aSP(OCoLC)1350669065 001451131 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dUKAHL$$dOCLCQ 001451131 049__ $$aISEA 001451131 050_4 $$aTA1634 001451131 08204 $$a006.3/7$$223/eng/20221117 001451131 1112_ $$aInternational Conference on Computer Vision, High Performance Computing, Smart Devices and Networks$$d(2020 :$$cKakinada, India). 001451131 24510 $$aProceedings of the international conference on computer vision, high performance computing, smart devices and networks :$$bCHSN-2020 /$$cCh Satyanarayana, Xiao-Zhi Gao, Choo-Yee Ting, Naresh Babu Muppalaneni, editors. 001451131 24630 $$aCHSN-2020 001451131 264_1 $$aSingapore :$$bSpringer,$$c[2022] 001451131 264_4 $$c©2022 001451131 300__ $$a1 online resource (xii, 207 pages) :$$billustrations (chiefly color). 001451131 336__ $$atext$$btxt$$2rdacontent 001451131 337__ $$acomputer$$bc$$2rdamedia 001451131 338__ $$aonline resource$$bcr$$2rdacarrier 001451131 4901_ $$aAdvanced technologies and societal change 001451131 500__ $$aSelected conference proceedings. 001451131 5050_ $$aIntro -- Committee -- Preface -- Advisory Board -- Contents -- 1 Character Recognition System Using CNN for Sanskrit Text -- Introduction -- Sanskrit Language -- Problems in Sanskrit Text -- Vowels and Consonants -- Literature Survey -- Input Documents -- Preprocessing -- Segmentation -- Feature Extraction -- Classification -- Unicode Mapping -- Results and Discussion -- Conclusion -- References -- 2 Resampling Imbalanced Data and Impact of Attribute Selection Methods in High Dimensional Data -- Introduction -- Current Approach -- Re-sampling Method -- Feature Selection -- Experimental Setup 001451131 5058_ $$aDatasets -- Design of Experiments -- Result and Discussion -- Conclusion -- References -- 3 Wireless sEMG Acquisition and Monitoring-A Survey -- Introduction -- Literature Survey -- Bluetooth-Based Wireless EMG Sensor -- Wi-Fi-Based Wireless EMG Sensor -- X-Bee-Based Wireless EMG Sensor -- Other Wireless EMG Sensor -- Comparison of the Existing Systems -- Summary -- Conclusion -- References -- 4 Black Hole Algorithm for BigData Anonymization -- Introduction -- Related Work -- Proposed Approach -- Experimental Result -- Results and Discussion -- Conclusion -- References 001451131 5058_ $$a5 Sleep Quality Analysis Using Motion Signals and Heart Rate -- Introduction -- Materials and Methods -- Data Used -- Feature Extraction -- Feature Selection -- Classification -- Sleep Efficiency and Sleep Quality -- Results and Discussion -- Conclusion -- References -- 6 Prediction and Performance Assessment in Woman Handball Athletes by Employing Machine Learning Methods -- Introduction -- Related Works -- Proposed Methodology -- Dataset -- Machine Learning Models -- Results and Discussion -- Conclusion -- References -- 7 Deep Learning for Object Detection: A Survey -- Introduction 001451131 5058_ $$aBackbone Networks -- Characteristic Baselines -- Dataset Salsometrics -- Examination of General Image Object Recognition Approaches -- Applications also Branches -- Conclusion -- References -- 8 Routing Protocols: A Survey -- Introduction -- Routing Protocols and Classification -- Routing Protocols -- Proactive Routing Protocol -- Reactive Routing Protocol -- Hybrid Routing Protocol -- Other Routing Protocols -- Methods Utilization Chart -- Conclusion -- References -- 9 Performance Evaluation of Segmentation Algorithms in Non Contrast and Contrast MRI Images for Region of Interest -- Introduction 001451131 5058_ $$aImaging Modalities and Their Contrast Media -- Proposed Methodology -- Preprocessing of MRI Images -- Contrast Limited Adaptive Histogram Equalisation (CLAHE) -- Selection and Segmentation of ROI -- Popular Segmentation Algorithms -- Performance Metrics -- Results and Discussions -- Conclusions -- References -- 10 A Novel Curve-Energy Framework to Find the Shortest Possible Lines Through Computer Vision -- Introduction -- Related Works -- Proposed Model -- Results and Discussion -- Conclusions -- References 001451131 506__ $$aAccess limited to authorized users. 001451131 520__ $$aThis book consists of selected peer-reviewed articles from the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks (CHSN-2020), held at JNTU, Kakinada, India. The theme and areas of the conference include vast scope for latest concepts and trends in communication engineering, information theory and networks, signal, image and speech processing, wireless and mobile communication, Internet of Things, and cybersecurity for societal causes and humanitarian applications. 001451131 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 17, 2022). 001451131 650_0 $$aComputer vision$$vCongresses. 001451131 650_0 $$aHigh performance computing$$vCongresses. 001451131 650_0 $$aComputer networks$$vCongresses. 001451131 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001451131 655_7 $$aConference papers and proceedings.$$2lcgft 001451131 655_0 $$aElectronic books. 001451131 7001_ $$aSatyanarayana, Ch.,$$eeditor. 001451131 7001_ $$aGao, Xiao-Zhi,$$d1972-$$eeditor.$$1https://isni.org/isni/0000000425524695 001451131 7001_ $$aTing, Choo-Yee,$$eeditor. 001451131 7001_ $$aMuppalaneni, Naresh Babu,$$eeditor. 001451131 7102_ $$aJawaharlal Nehru Technological University, Kakinada,$$ehost institution. 001451131 77608 $$iPrint version: $$z9811940436$$z9789811940439$$w(OCoLC)1319074903 001451131 830_0 $$aAdvanced technologies and societal change. 001451131 852__ $$bebk 001451131 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-4044-6$$zOnline Access$$91397441.1 001451131 909CO $$ooai:library.usi.edu:1451131$$pGLOBAL_SET 001451131 980__ $$aBIB 001451131 980__ $$aEBOOK 001451131 982__ $$aEbook 001451131 983__ $$aOnline 001451131 994__ $$a92$$bISE