001453427 000__ 06374cam\a2200637\a\4500
001453427 001__ 1453427
001453427 003__ OCoLC
001453427 005__ 20230314003350.0
001453427 006__ m\\\\\o\\d\\\\\\\\
001453427 007__ cr\un\nnnunnun
001453427 008__ 221210s2023\\\\sz\\\\\\o\\\\\100\0\eng\d
001453427 020__ $$a9783031131509$$q(electronic bk.)
001453427 020__ $$a3031131509$$q(electronic bk.)
001453427 020__ $$z9783031131493
001453427 0247_ $$a10.1007/978-3-031-13150-9$$2doi
001453427 035__ $$aSP(OCoLC)1352967209
001453427 040__ $$aEBLCP$$beng$$cEBLCP$$dGW5XE$$dEBLCP$$dOCLCF$$dOCLCQ$$dN$T
001453427 049__ $$aISEA
001453427 050_4 $$aT58.64
001453427 08204 $$a658.4/038$$223/eng/20221214
001453427 1112_ $$aInternational Conference on Information Systems and Management Science$$n(4th :$$d2021)
001453427 24510 $$aInformation systems and management science:$$bConference Proceedings of 4th International Conference on Information Systems and Management Science (ISMS) 2021 /$$cLalit Garg, Dilip Singh Sisodia, Nishtha Kesswani, Joseph G Vella, Imene Brigui, Peter Xuereb, Sanjay Misra, Deepak Singh, editors.
001453427 2463_ $$aISMIS 2021
001453427 260__ $$aCham :$$bSpringer,$$c2023.
001453427 300__ $$a1 online resource (589 p.).
001453427 4901_ $$aLecture Notes in Networks and Systems ;$$vv.521
001453427 500__ $$aMachine Learning for Recognition and Classification of Visual Art Architecture: A Survey
001453427 5050_ $$aIntro -- Contents -- The Sentiment Analysis for Hindi Language Using Convolution Neural Network and Deep Belief Network -- 1 Introduction -- 2 Related Work -- 3 Concept Behind Neural Networking -- 3.1 Convolutions Neural Network -- 4 Implementation -- 4.1 Tool Used -- 4.2 Working of the System -- 5 Experimental Setup -- 6 Result and Discussion -- 6.1 Comparison -- 7 Conclusion and Future Work -- References -- An Empirical Review on Brain Tumor Classification Approaches -- 1 Introduction -- 2 Review of Some Existing Methods -- 2.1 Brain tumor detection based on Machine-learning techniques
001453427 5058_ $$a2.2 Brain Tumor Detection based on Fuzzy Approach -- 2.3 Brain Tumor Detection based on Ensemble-Learning Techniques -- 2.4 Brain Tumor Detection based on Hybrid Approach -- 2.5 Brain Tumor Detection based on Deep-Learning Techniques -- 3 Analysis and Discussion -- 3.1 Analysis Based on Dataset -- 3.2 Analysis based on Performance Metrics -- 4 Existing Gap and Challenges -- 4.1 Challenges Experienced in Deep Learning Techniques -- 4.2 Challenges Experienced in Machine Learning techniques -- 5 Conclusion -- References -- Obstacle Finding and Path Planning of Unmanned Vehicle by Hybrid Techniques
001453427 5058_ $$a1 Introduction -- 2 A* Methodology -- 2.1 Parameters of A* Algorithm -- 3 Fuzzy-Logic Algorithm -- 4 Fuzzy Inference Parameter -- 4.1 Concept of Defuzzification -- 5 Concept of Hybrid A*-Fuzzy Controller -- 6 Analysis and Result of A*-Fuzzy Hybrid Controller -- 7 Conclusion and Future Work -- References -- Simulation of Internet of Things Network for Big Data Analytics -- 1 Introduction -- 2 Importance of Bigdata -- 3 Characteristics of Bigdata -- 3.1 Volume -- 3.2 Velocity -- 3.3 Variety -- 4 Data Analytics and its Types -- 4.1 Descriptive Analytics -- 4.2 Diagnostic Analysis
001453427 5058_ $$a4.3 Predictive Analysis -- 4.4 Prescriptive Analysis -- 5 Data Analytics in IoT: Simulation using Contiki OS and Cooja Emulator -- 5.1 Data Analytics using Hadoop MapReduce -- 5.2 Data Collection -- 5.3 Data Loading -- 5.4 Data analysis -- 5.5 Knowledge Extraction -- 5.6 Input data -- 5.7 Mapreduce Implementation -- 6 Conclusion -- References -- Mirai Botnet Attacks on IoT Applications: Challenges and Controls -- 1 Introduction -- 2 Literature Survey -- 3 Internet of Things Layer Architecture -- 3.1 Application Layer -- 3.2 Middleware Layer -- 3.3 Network Layer -- 3.4 Perception Layer
001453427 5058_ $$a4 IoT Applications -- 4.1 Smart Home -- 4.2 Smart City -- 4.3 Smart Agriculture -- 4.4 Smart Industry -- 4.5 Smart Transport -- 4.6 Smart Healthcare -- 5 Attacks on IoT Applications -- 5.1 Mirai Botnet -- 5.2 DDoS -- 5.3 Malicious Code Injection -- 5.4 Ransomware -- 6 Mirai Botnet Attacks on IoT -- 7 Detection Methods -- 7.1 Machine Learning -- 7.2 Cryptography -- 7.3 Bio-Inspired Computing Techniques -- 8 Bio-Inspired Computing Framework for IoT Botnet Attacks -- 9 Performance Evolution -- 10 Conclusion -- References
001453427 506__ $$aAccess limited to authorized users.
001453427 520__ $$aThis multidisciplinary book delves into information systems concepts, principles, methods and procedures and their innovative applications in management science and other domains, including business, industry, health care and education. It will be valuable to students, researchers, academicians, developers, policymakers and managers thriving to improve their information and management systems, develop new strategies to solve complex problems and implement novel techniques to utilise the massive data best. This book of Information Systems and Management Science (proceedings of ISMS 2021) is intended to be used as a reference by scholars, scientists and practitioners who collect scientific and technical contributions concerning models, tools, technologies and applications in the field of information systems and management science. This book shows how to exploit information systems in a technology-rich management field.
001453427 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed December 14, 2022).
001453427 650_0 $$aInformation resources management$$vCongresses.
001453427 650_0 $$aManagement information systems$$vCongresses.
001453427 650_0 $$aInformation technology$$vCongresses.
001453427 655_0 $$aElectronic books.
001453427 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772
001453427 7001_ $$aGarg, Lalit,$$d1977-
001453427 7001_ $$aSisodia, Dilip Singh,$$d1977-
001453427 7001_ $$aKesswani, Nishtha.
001453427 7001_ $$aVella, Joseph G.
001453427 7001_ $$aBrigui, Imene.
001453427 7001_ $$aXuereb, Peter.
001453427 7001_ $$aMisra, Sanjay.
001453427 7001_ $$aSingh, Deepak.
001453427 77608 $$iPrint version:$$aGarg, Lalit$$tInformation Systems and Management Science$$dCham : Springer International Publishing AG,c2023$$z9783031131493
001453427 830_0 $$aLecture notes in networks and systems ;$$vv. 521.
001453427 852__ $$bebk
001453427 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-13150-9$$zOnline Access$$91397441.1
001453427 909CO $$ooai:library.usi.edu:1453427$$pGLOBAL_SET
001453427 980__ $$aBIB
001453427 980__ $$aEBOOK
001453427 982__ $$aEbook
001453427 983__ $$aOnline
001453427 994__ $$a92$$bISE