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Author International Conference on Information Systems and Management Science (4th : 2021)

Title Information systems and management science Conference Proceedings of 4th International Conference on Information Systems and Management Science (ISMS) 2021 / Lalit Garg, Dilip Singh Sisodia, Nishtha Kesswani, Joseph G Vella, Imene Brigui, Peter Xuereb, Sanjay Misra, Deepak Singh, editors
Published Cham : Springer, 2023

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Description 1 online resource (589 p.)
Series Lecture Notes in Networks and Systems ; v.521
Lecture notes in networks and systems ; v. 521.
Contents Intro -- 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
2.2 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
1 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
4.3 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
4 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
Summary This 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
Notes Machine Learning for Recognition and Classification of Visual Art Architecture: A Survey
Online resource; title from PDF title page (SpringerLink, viewed December 14, 2022)
Subject Information resources management -- Congresses
Management information systems -- Congresses
Information technology -- Congresses
Information resources management
Information technology
Management information systems
Genre/Form Electronic books
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Garg, Lalit, 1977-
Sisodia, Dilip Singh, 1977-
Kesswani, Nishtha
Vella, Joseph G
Brigui, Imene
Xuereb, Peter
Misra, Sanjay.
Singh, Deepak
ISBN 9783031131509
3031131509
Other Titles ISMIS 2021