Lecture Notes in Networks and Systems 521 Lalit Garg · Dilip Singh Sisodia · Nishtha Kesswani · Joseph G Vella · Imene Brigui · Peter Xuereb · Sanjay Misra · Deepak Singh   Editors Information Systems and Management Science Conference Proceedings of 4th International Conference on Information Systems and Management Science (ISMS) 2021 Lecture Notes in Networks and Systems Volume 521 Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Advisory Editors Fernando Gomide, Department of Computer Engineering and Automation—DCA, SchoolofElectricalandComputerEngineering—FEEC,UniversityofCampinas— UNICAMP, São Paulo, Brazil Okyay Kaynak, Department of Electrical and Electronic Engineering, Bogazici University, Istanbul, Turkey Derong Liu, Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, USA Institute of Automation, Chinese Academy of Sciences, Beijing, China WitoldPedrycz,DepartmentofElectricalandComputerEngineering,Universityof Alberta, Alberta, Canada Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland Marios M. Polycarpou, Department of Electrical and Computer Engineering, KIOSResearchCenterforIntelligentSystemsandNetworks,UniversityofCyprus, Nicosia, Cyprus Imre J. Rudas, Óbuda University, Budapest, Hungary Jun Wang, Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong The series “Lecture Notes in Networks and Systems” publishes the latest developmentsinNetworksandSystems—quickly,informallyandwithhighquality. Originalresearchreportedin proceedings andpost-proceedings represents thecore ofLNNS. VolumespublishedinLNNSembraceallaspectsandsubfieldsof,aswellasnew challenges in, Networks and Systems. 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More information about this series at https://link.springer.com/bookseries/15179 Lalit Garg Dilip Singh Sisodia (cid:129) (cid:129) Nishtha Kesswani Joseph G Vella (cid:129) (cid:129) Imene Brigui Peter Xuereb (cid:129) (cid:129) Sanjay Misra Deepak Singh (cid:129) Editors Information Systems and Management Science Conference Proceedings of 4th International Conference on Information Systems and Management Science (ISMS) 2021 123 Editors Lalit Garg Dilip SinghSisodia Department ofComputer Information Computer Science andEngineering Systems National Institute ofTechnology University of Malta Chhatisgarh, India Msida,Malta JosephGVella NishthaKesswani Computer Information Systems Department Central University of Rajasthan University of Malta Ajmer, Rajasthan, India Msida,Malta Imene Brigui PeterXuereb EMLYON Business School Faculty of Information andCommunication Écully,France Technology University of Malta SanjayMisra Msida,Malta Department ofComputer Scienceand Communication Deepak Singh Ostfold University Computer Science andEngineering Halden,Norway National Institute ofTechnology Chhattisgarh, India ISSN 2367-3370 ISSN 2367-3389 (electronic) Lecture Notesin Networks andSystems ISBN978-3-031-13149-3 ISBN978-3-031-13150-9 (eBook) https://doi.org/10.1007/978-3-031-13150-9 ©TheEditor(s)(ifapplicable)andTheAuthor(s),underexclusivelicense toSpringerNatureSwitzerlandAG2023 Thisworkissubjecttocopyright.AllrightsaresolelyandexclusivelylicensedbythePublisher,whether thewholeorpartofthematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseof illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmissionorinformationstorageandretrieval,electronicadaptation,computersoftware,orbysimilar ordissimilarmethodologynowknownorhereafterdeveloped. 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ThisSpringerimprintispublishedbytheregisteredcompanySpringerNatureSwitzerlandAG Theregisteredcompanyaddressis:Gewerbestrasse11,6330Cham,Switzerland Contents The Sentiment Analysis for Hindi Language Using Convolution Neural Network and Deep Belief Network . . . . . . . . . . . . . . . . . . . . . . . 1 Manish Rao Ghatge and Snehlata Barde An Empirical Review on Brain Tumor Classification Approaches . . . . . 15 Mutkule Prasad Raghunath and B. Ankayarkanni ObstacleFindingandPathPlanningofUnmannedVehiclebyHybrid Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Varsha Dubey, Snehlata Barde, and Brijesh Patel Simulation of Internet of Things Network for Big Data Analytics . . . . . 37 B. C. Manujakshi, K. B. Ramesh, Lalit Garg, and T. M. Shashidhar Mirai Botnet Attacks on IoT Applications: Challenges and Controls. . . 49 G. Sripriyanka and Anand Mahendran Machine Learning for Recognition and Classification of Visual Art Architecture: A Survey . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68 Amita Sharma and R. S. Jadon Technology Aspects of Artificial Intelligence: Industry 5.0 for Organization Decision Making . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 79 Aditi Chandel and Bhisham Sharma Dress Pattern Classification Using ResNet Based Convolutional Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91 Manpinder Singh, Saiba Dalmia, Ranjeet Kumar Ranjan, and Amit Singh An Efficient MR Images Based Analysis to Predict Alzheimer's Dementia Stage Using Random Forest Classifier . . . . . . . . . . . . . . . . . . 104 Venkatesh Gauri Shankar, Dilip Singh Sisodia, and Preeti Chandrakar v vi Contents EMG Pattern Recognition: A Systematic Review. . . . . . . . . . . . . . . . . . 120 Sushama Dhumal and Prashant Sharma Image Generation Using GPT-2 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131 Rushikesh Pupale, Adarsh Shrivastava, and Pradeep Singh LightMobileNetV2: A Lightweight Model for the Classification of COVID-19 Using Chest X-Ray Images. . . . . . . . . . . . . . . . . . . . . . . . . . 142 Shankey Garg and Pradeep Singh Intention to Adopt E-Grocery Shopping Service in Vietnam During Covid-19 Pandemic. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 151 Cuong Quoc Nguyen, Hang Thuy Truong, and Anh Minh Tu Nguyen Optimizing the Compressive Strength of Concrete with Altered Compositions Using Hybrid PSO-ANN . . . . . . . . . . . . . . . . . . . . . . . . . 163 Raunaq Singh Suri, Vikrant Dubey, Nishant Raj Kapoor, Aman Kumar, and Megha Bhushan Adaptive Strategies for Multicriteria Auctions: An Empirical Study . . . 174 Imène Brigui, Philippe Caillou, and Suzanne Pinson Crowd ManagementSystem BasedonHybridCombinationofLSTM and CNN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185 Neeraj Kumar Sharma, G. V. Arun Krishna, V. Bharath Kumar, T. Sai Praveen Kumar, C. H. Rakesh, and Ram Chandra Reddy Facial Liveness Detection in Biometrics: A Multivocal Literature Review . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 195 Kikelomo A. Omotoye, Sanjay Misra, Manju Kaushik, Roseline Ogundokun, and Lalit Garg An Innovative User Authentication Method: Replacements of Text Based Passwords . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 210 Varun Shukla, Shivani Dixit, Ravi Kumar, and Manish Patidar Analysis and Survey of Soil Moisture Prediction Techniques for Agricultural Applications . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225 Seema J. Patil and B. Ankayarkanni LSTM Based Advanced Fake News Detection . . . . . . . . . . . . . . . . . . . . 242 Aditya, Vikas Sihag, and Gaurav Choudhary HTL-DP: Homogeneous Transfer Learning for Defect Prediction . . . . . 257 Meetesh Nevendra and Pradeep Singh Development of a Chi-Square Approach for Classifying Ischemic Stroke Prediction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 268 MichealOlaoluArowolo,VictorAshemAkubor,SanjayMisra,LalitGarg, Marion Olubunmi Adebiyi, and Joseph Bamidele Awotunde Contents vii Anomaly Detection for Industrial Control Networks Using Hamming Distance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 280 Rajneesh Kumar Pandey and Tanmoy Kanti Das AWeb-BasedInstantMessagingSystemforEffectiveCommunication Among Organic Farmers and Researchers. . . . . . . . . . . . . . . . . . . . . . . 291 Oluwasefunmi Arogundade, Aderonke Sakpere, Sanjay Misra, Christianah Alonge, Lalit Garg, Adebayo Abayomi-Alli, and Oluwaseyi Bello Machine Learning Approaches for Classifying the Peace-War Orientations of Global News Organizations’ Social Media Posts . . . . . . 301 Ada Peter, Rose Omole, Sanjay Misra, Lalit Garg, and Jonathan Oluranti Application of Block Chain Technology by Aggregators in Complex Supply Chains . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 318 Sudhendar Hanumantha Rao and Sreedhar Matam ATM Security System Using Gesture and Hand Vein Recognition. . . . . 330 Yashika Kuckian, Neha Bharambe, Adishree Sane, and Easther Masih Effect of Entrepreneurial Education on Entrepreneurial Intention: Mediating Role of Entrepreneurs Personality Traits . . . . . . . . . . . . . . . 342 Bhawna Chahar DeconstructiveHumanConfrontAcknowledgmentUtilizingProfound Neural Arrange . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365 Ratnesh Kumar Dubey and Dilip Kumar Choubey MoRec: User’s Definition Inspired Analytical Approach for Movie Recommendation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381 Padmini Yadav, Venkatesh Gauri Shankar, Bali Devi, Neha V. Sharma, and Anmol Srivastava Design and Implementation of Secure Location Service Using Software Engineering Approach in the Age of Industry 4.0. . . . . . . . . . 397 Sumaiah Tabassum, Adarsh Kumar, Kamalpreet Kaur, Priyansh Arora, Deepraj Chowdhury, Sanjay Misra, and Sukhpal Singh Gill Deep Learning Based Architecture for Entity Extraction from Covid Related Documents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 419 Sushil Kumar, Avantika Sahu, and Aditi Sharan Data Sampling Methods for Analyzing Publishers Conduct from Highly Imbalanced Dataset in Web Advertising. . . . . . . . . . . . . . . . . . . 428 Deepti Sisodia and Dilip Singh Sisodia viii Contents Analysis of the Effect of Feature Selection and Class Balancing Methods with Supervised Algorithms in Web Robot Detection Problem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 442 Rikhi Ram Jagat, Dilip Singh Sisodia, and Pradeep Singh A Random Forest-Based Ensemble Technique for Malware Detection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 454 Lalit Kumar Vashishtha, Kakali Chatterjee, Santosh Kumar Sahu, and Durga Prasad Mohapatra Futuristic Approach for Intelligent Cognitive Radio Using Different Machine Learning Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464 Megha Motta, Partha Sarathy Banerjee, and Deepak Sharma Novel Techniques for Analysing Satellite Imagery Data. . . . . . . . . . . . . 477 Uttam Banik and Lalit Garg Identification of Hotspot of Rape Cases in NCT of Delhi: A Data Science Perspective. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485 G. Venkata Manish, Simran, Jitendra Kumar, and Dilip Kumar Choubey Survey on Fruit Classification Using Deep Learning Techniques . . . . . . 497 Surya Petluru and Pradeep Singh Digital Twin in Industry 4.0 A Real-Time Virtual Replica of Objects Improves Digital Health Monitoring System . . . . . . . . . . . . . . . . . . . . . 506 Prabhanjan Chaudhari, Chaitali Gangane, and Akshay Lahe Cyber Security Intruder Detection Using Deep Learning Approach . . . 518 Tariqul Islam, Md. Mosfikur Rahman, Md. Ismail Jabiullah, and Mohd. Saifuzzaman Android Malware Detection Using Ensemble Feature Learning. . . . . . . 531 Siddhartha Suman Rout, Lalit Kumar Vashishtha, Kakali Chatterjee, and Jitendra Kumar Rout Multiclass-Based Support Vector Machine for Parkinson’s Disease Detection on Speech Data. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 540 Bali Devi, Sumit Srivastava, and Vivek Kumar Verma Automated Journalism Based on Sports Analysis. . . . . . . . . . . . . . . . . . 558 Eeshan Nanekar, Siddhant Nalawade, Zenden Castelino, and Smita Rukhande Brain Hemorrhage Detection Using Deep Learning: Convolutional Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 565 Nipun R. Navadia, Gurleen Kaur, and Harshit Bhardwaj An Approach for Theft Detection and Alerting System . . . . . . . . . . . . . 571 B. C. Manujakshi, K. B. Ramesh, Lalit Garg, and T. M. Shashidhar Author Index.. .... .... .... ..... .... .... .... .... .... ..... .... 579 The Sentiment Analysis for Hindi Language Using Convolution Neural Network and Deep Belief Network B ManishRaoGhatge( )andSnehlataBarde MATSUniversity,492004Raipur,India [email protected], [email protected] Abstract. Itissimpleforpeopletosharetheirideas,feelingsandthoughtsonthe widespreadsocialmedianetwork.Thechangesintechnologyandthecreationof socialplatformshaveallowedindividualstoexpresstheirideasbothintheEnglish languageandinthemothertongueforsuchplatformsasHindi,Marathietc.These are good, negative and neutral ideas. These phrases function as a reservoir of informationthatmaybeusedtoobtainknowledge.Intheanalysisofsentiment fromregionallanguagesuchasHindi,studybecomesvitalandmotivating.The goal is therefore to utilize Neural Networks (NNs) to analyses the feelings of Hindiwords.TheMachineLearning(ML)modelwillbeformedandcompared withtheuseofDeepBeliefNetwork(DBN),ConvolutionNeuralNetwork(CNN) andLongShortTimeMemory(LSTM)toorganizethedataintoconstructiveand undesirablefeelingsinHindi. Keywords: CNN·DBN·LSTM·ML·NNs·Sentimentanalysis 1 Introduction Due to the fast expansion of information technology, the Internet has become a vital aspectofpeople’slives.Mostindividualsexchangeviewsaboutvariousentitiessuchas products, service on various platforms such as blogs, and on other social online sites. Thesesitesincludesignificantdatafrombusinesstopoliticalandsocietalapplications onarangeoffields[1].Itistoughtomanuallyanalyze thislargevolume ofdata.SA was highly beneficial in this situation. Basically, it gets a sense of how you feel and how you communicate. SA is becoming a prominent issue in the Natural Language Processing(NLP)area.Theaimistoextractsubjectiveinformationthatistransmitted byatranscriptautomatically.Itshelterstheextractionofthesplitortheidentification ofthetargetoropinionholder.Thefunction,sentence,anddocumentlevelcanbeused fortheSA.Inmanyotherapplications,SAisused,forexample,toanticipateconsumer patterns, marketing plans and stock market predictions, teacher training and learning [2].OneofthekeyrequestsmadebySAistohelppoliticalpartiesorthegovernment obtainsasenseofhowmuchtheycanwinintheupcoming elections,andhowhappy thecommunitystayswiththeguidelinestheyforecastinthe2016USelection. ©TheAuthor(s),underexclusivelicensetoSpringerNatureSwitzerlandAG2023 L.Gargetal.(Eds.):ISMS2021,LNNS521,pp.1–14,2023. https://doi.org/10.1007/978-3-031-13150-9_1