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001472153 0247_ $$a10.1007/978-981-99-2100-3$$2doi
001472153 035__ $$aSP(OCoLC)1391441287
001472153 040__ $$aEBLCP$$beng$$cEBLCP$$dYDX$$dGW5XE$$dEBLCP$$dOCLCQ
001472153 049__ $$aISEA
001472153 050_4 $$aQ334
001472153 08204 $$a006.3$$223/eng/20230801
001472153 1112_ $$aInternational Conference on Communication and Intelligent Systems$$n(4th :$$d2022 :$$cDelhi, India).
001472153 24510 $$aCommunication and Intelligent Systems :$$bProceedings of ICCIS 2022.$$nVolume 1 /$$cHarish Sharma, Vivek Shrivastava, Kusum Kumari Bharti, Lipo Wang, editors.
001472153 24630 $$aICCIS 2022
001472153 260__ $$aSingapore :$$bSpringer,$$c2023.
001472153 300__ $$a1 online resource (xxii, 729 pages) :$$billustrations (chiefly color).
001472153 4901_ $$aLecture Notes in Networks and Systems ;$$vvolume 686
001472153 5050_ $$aIntro -- Preface -- Contents -- Editors and Contributors -- Network Coverage and Event Detection in Mobile Sensor Networks -- 1 Introduction -- 2 System Models -- 2.1 Sensing Coverage -- 2.2 Probabilistic Sensing Models -- 2.3 Event Detection Probability -- 3 Results and Discussion -- 4 Conclusion -- References -- Attention Guided Human Fall Detection for Elderly Patient Monitoring -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Conv2D: Spatial Feature Extraction -- 3.2 Attention Mechanism -- 3.3 ConvLSTM2D: Temporal Feature Extraction -- 4 Experiments -- 4.1 Dataset
001472153 5058_ $$a4.2 Preprocessing -- 4.3 Implementation Details -- 4.4 Results -- 5 Conclusion -- References -- SDN-Enabled IoT to Combat the DDoS Attacks -- 1 Introduction -- 1.1 Problem Definition -- 1.2 Paper Organization -- 2 Background -- 3 Proposed Approach -- 3.1 Result Analysis -- 4 Conclusion -- References -- Analysis of Existing Datasets of Household Objects for AI-Enabled Techniques -- 1 Introduction -- 2 Datasets for Household Objects Classified on the Basis of Application -- 2.1 Annotated Image Dataset of Household Objects from the RoboFEI@Home Team ch4techirobofei
001472153 5058_ $$a2.2 My Nursing Home ch4ismail2020mynursinghome -- 2.3 The Open Images Dataset V4 ch4kuznetsova2020open -- 2.4 Office-Home Dataset ch4venkateswara2017deep -- 2.5 ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition ch4massiceti2021orbit -- 2.6 Household Objects for Pose Estimation (HOPE) ch4lin2021fusion -- 2.7 CMU Kitchen Occlusion Dataset (CMU_KO8) ch4hsiao2014occlusion -- 2.8 CMU Grocery Dataset (CMU10_3D) ch4hsiao2010making -- 2.9 RoboCup@Home-OBJECTS Benchmark ch4massouh2019robocup -- 2.10 ADE20K Dataset ch4zhou2017scene -- 2.11 OSLD Dataset ch4bastan2019large
001472153 5058_ $$a2.12 Bottles and Cups Dataset -- 2.13 PhoCaL Dataset ch4wang2022phocal -- 3 Summarized Analysis -- 4 Conclusion -- References -- In Silico Molecular Docking Study by Using Bio-informatics Database to Fabricate M-Cell Targeting Nanocarrier System for Oral Delivery of Macromolecules -- 1 Introduction -- 2 Material and Methods -- 2.1 Preparation of Ligands -- 2.2 Preparation of Protein -- 2.3 In Silico Docking Study -- 2.4 In Silico Physicochemical and Pharmacokinetic Property Evaluation -- 2.5 Scheme for the Synthesis of Mannosylated Chitosan and the Docking Interaction Study
001472153 5058_ $$a3 Results and Discussion -- 3.1 Pharmacokinetic and Drug-Likeness Screening of Carbohydrate Ligands -- 3.2 Bioavailability Radar and In Silico Physiochemical Parameter Evaluation -- 3.3 Synthesis Scheme for the Mannosylation of Chitosan and Their Docking Interaction -- 4 Conclusion -- References -- Open-Source Datasets for Colonoscopy Polyps and Its AI-Enabled Techniques -- 1 Introduction -- 2 Open-Source Colonoscopy Polyp Datasets -- 2.1 Polypgen Dataset ch6ali2021polypgen -- 2.2 Kvasir ch6Pogorelov:2017:KMI:3083187.3083212 -- 2.3 Kvasir SEG ch6jha2020kvasir -- 2.4 HyperKvasir ch6Borgli2020
001472153 506__ $$aAccess limited to authorized users.
001472153 520__ $$aThis book gathers selected research papers presented at the Fourth International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by National institute of Technology, Delhi, India, during December 1920, 2022. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source. The book is presented in two volumes.
001472153 588__ $$aDescription based upon print version of record.
001472153 650_0 $$aArtificial intelligence$$vCongresses.
001472153 655_7 $$aConference papers and proceedings.$$2lcgft
001472153 655_0 $$aElectronic books.
001472153 7001_ $$aSharma, Harish.
001472153 7001_ $$aShrivastava, Vivek.
001472153 7001_ $$aBharti, Kusum Kumari.
001472153 7001_ $$aWang, Lipo.
001472153 77608 $$iPrint version:$$aSharma, Harish$$tCommunication and Intelligent Systems$$dSingapore : Springer,c2023$$z9789819920990
001472153 830_0 $$aLecture notes in networks and systems ;$$vv. 686.
001472153 852__ $$bebk
001472153 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-2100-3$$zOnline Access$$91397441.1
001472153 909CO $$ooai:library.usi.edu:1472153$$pGLOBAL_SET
001472153 980__ $$aBIB
001472153 980__ $$aEBOOK
001472153 982__ $$aEbook
001472153 983__ $$aOnline
001472153 994__ $$a92$$bISE