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ICT: Smart Systems and Technologies [[electronic resource] ] : Proceedings of ICTCS 2023, Volume 4 / / edited by M. Shamim Kaiser, Juanying Xie, Vijay Singh Rathore
ICT: Smart Systems and Technologies [[electronic resource] ] : Proceedings of ICTCS 2023, Volume 4 / / edited by M. Shamim Kaiser, Juanying Xie, Vijay Singh Rathore
Autore Kaiser M. Shamim
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (471 pages)
Disciplina 621.382
Altri autori (Persone) XieJuanying
RathoreVijay Singh
Collana Lecture Notes in Networks and Systems
Soggetto topico Telecommunication
Technology - Sociological aspects
Information technology
Data protection
Computational intelligence
Artificial intelligence
Communications Engineering, Networks
Information and Communication Technologies (ICT)
Data and Information Security
Computational Intelligence
Artificial Intelligence
ISBN 981-9994-89-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Digitalization of the Apparel Industry – The Impact of COVID-19 -- Chapter 2:EFFICIENT FIRE DETECTION AND AUTOMATION USING HAARCASCADE .-Chapter 3:Evolutionary Patterns in Modern-Era Cloud-Based Healthcare Technologies .-Chapter 4 :The Development of the Semiconductor Supply Chain in India: Challenges and Opportunities .-Chapter 5 :Water quality analysis of major rivers of India using Machine Learning -- Chapter 6: Enhancing Trust in AI-Generated Medical Narratives: A Transparent Approach for Simplifying Radiology Reports -- Chapter 7 : Green Construction Project Management: A Bibliometric Analysis -- Chapter 8: Illuminating Agriculture: Crafting a Strategy IoT-Based Architectural Design for Future Growth -- Chapter 9 :Video Based COVID-19 Monitoring System -- Chapter 10 :Analyzing User Profiles for Bot Account Detection on Twitter Via Machine Learning Approach -- Chapter 11 : Artificial Intelligence in Trucking Business Operations – A Systematic Review -- Chapter 12 :Deep Learning Approach for Early Diagnosis of Alzheimer's Disease -- Chapter 13 : Study of key Agreement Protocol implementation in Constraint Environment -- Chapter 14 :Covid-19 Disease Predication System from X-Ray Images Using Convolutional Neural Network .-Chapter 15: Liquidity Regulation and Bank Performance: The Industry Perspective -- Chapter 16 :Enhancing Medical Education through Augmented Reality -- Chapter17 :A Comprehensive Study on Plant Classification using Machine Learning Models -- Chapter 18 : Critical Analysis of the Utilization of Machine Learning Techniques in the Context of Software Effort Estimation -- Chapter 19 : Review of Recent Research and Future Scope of Explainable Artificial Intelligence in Wireless Communication Networks -- Chapter 20 :Multicore System Classification Algorithms for Scheduling in Real-Time Systems -- Chapter 21 :Transfer Learning Techniques in Medical Image Classification -- Chapter 22 : Integrating AI Tools Into HRM to Promote Green HRM Practices -- Chapter 23 :Archival of Rangabati song through Technology : An attempt to Conservation of Culture -- Chapter 24 :Voice based Virtual assistant for windows using ASR -- Chapter 25 :Music Recommendation Systems: Techniques, Use Cases and Challenges -- Chapter 26 :Obstacle Detection Using Arduino Board and Bluetooth control -- Chapter 27 :GREEN ICT: EXPLORING THE ROLE OF IoT-ENABLED TECHNOLOGIES IN SMALL-SCALE BUSINESSES -- Chapter 28 :Unravelling Obfuscated Malware through Memory Feature Engineering and Ensemble Learning -- Chapter 29 :Quad-Port MIMO Antenna System for n79-5G and WLAN Wireless Communication Applications -- Chapter 30 : Socio-Technical Approaches to Solid Waste Management in Rural India: A Case Study of Smart Pipe Composting in Raichur District, Karnataka -- Chapter 31 :Attendance System Using Face Detection and Face Recognition -- Chapter 32 :Smart Health with Medi2Home: Redefining Medicine Delivery for a Safer Tomorrow -- Chapter 33 : Sentiment Analysis of Product Reviews from Amazon, Flipkart, and Twitter -- Chapter 34 : Arithmetic Optimization Algorithm: A Review of Variants and Applications -- Chapter 35 :Dark Channel Prior Based Single Image Dehazing Using Type-2 Fuzzy sets for edge enhancement in dehazed images -- Chapter 36 :ECO-Guard: An Integrated AISensor System for Monitoring Wildlife and Sustainable Forest Management -- Chapter 37 :Machine-Learning-Based Diagnosis of Mental Health Issues -- Chapter 38 :Hybrid CPU Scheduling Algorithm For Operating System To Improve User Experience -- Chapter 39 :AI-Enable Heart Sound Analysis: PASCAL Approach for Precision-Driven Cardiopulmonary Assessment -- Chapter 40 :Sentiment Analysis in Social Media Marketing: Leveraging Natural Language Processing for Customer Insights.
Record Nr. UNINA-9910845089003321
Kaiser M. Shamim  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Strategies for ICT : Proceedings of ICTCS 2023, Volume 2
Intelligent Strategies for ICT : Proceedings of ICTCS 2023, Volume 2
Autore Kaiser M. Shamim
Edizione [1st ed.]
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2024
Descrizione fisica 1 online resource (486 pages)
Altri autori (Persone) XieJuanying
RathoreVijay Singh
Collana Lecture Notes in Networks and Systems Series
ISBN 981-9712-60-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Editors and Contributors -- Data Analytics About the Sound Narrative of Grand Theft Auto V -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Data Analysis of the Audiovisual Language in the Video Game Max Payne 1 -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Journalism and Big Data in Scopus: A Systematic Review -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion and Conclusions -- References -- Advances and Challenges in Few-Shot Learning for Natural Language Processing: A Pilot Study -- 1 Introduction -- 2 Process of Few-Shot Learning with Natural Language Processing -- 3 Research Questions -- 4 Challenges in Few-Shot Learning for Natural Language Processing -- 5 Review of Literature -- 6 Problem Definition of Few-Shot Learning -- 7 Relevant Learning Problems -- 8 Conclusion and Future Work -- References -- Digital Technology for Indigenous People's Knowledge Acquisition Process: Insights from Empirical Literature Analysis -- 1 Introduction -- 2 Literature Review -- 2.1 Digital Technology for Indigenous People's Information -- 2.2 Digital Technology for Indigenous People's Knowledge Acquisition Platform -- 3 Methodology -- 4 Analysis and Discussion -- 4.1 Digital Technology for Developing Proper Knowledge Acquisition Process -- 4.2 Digital Technology for Helping Knowledge Thinking Process -- 4.3 Digital Technology for Facilitating Positive Life Improvement Process -- 5 Conclusion -- References -- Digital Technology Adoption for Instruction Aids: Insight into Teaching Material Content -- 1 Introduction -- 2 Literature Review -- 2.1 Digital Multimedia and Its Application -- 2.2 Digital Teaching Aid and Its Significance -- 2.3 Digital Multimedia-Teaching Aid on Islamic Education -- 3 Methodology -- 4 Results.
4.1 Understanding of the Function of Using Teaching Aids Among Islamic Education Teachers in Teaching -- 4.2 Providing Teaching Facilitation -- 4.3 Improving Student Understanding -- 4.4 Experience in Using Digital Multimedia-Based Teaching Aids on Islamic Education -- 4.5 Practical Implementation Experiences -- 4.6 Knowledge and Comprehension Experience -- 5 Analysis and Discussion -- 6 Conclusion -- References -- Efficiency Enhancement of Knee Osteoarthritis Classification Using Optimization Technique -- 1 Introduction -- 2 Theoretical Background -- 2.1 CNN -- 2.2 Feature Extraction -- 2.3 Feature Selection -- 3 Materials and Methods -- 3.1 Data -- 3.2 Pre-processing Data -- 4 Results and Discussion -- 5 Conclusion -- References -- Fly-By Drone for Data Collection Using Wi-Fi Modem and ESP32 Module -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Hardware -- 3.2 Software -- 3.3 Proposed Model -- 4 Results -- 5 Conclusion -- 6 Future Work -- 6.1 Sensor Integration and Expansion -- 6.2 Autonomous Flight and Navigation -- 6.3 Improved Battery Life and Flight Time -- 6.4 Cloud-Based Data Analysis -- 6.5 Mobile App Development -- References -- Implementing Power and Performance Optimization Techniques on Wireless SoC Design at Synthesis -- 1 Introduction -- 1.1 Static Power Dissipation -- 1.2 Dynamic Power Dissipation -- 2 High-Level Synthesis -- 2.1 Loading Design and Technology Data -- 2.2 Applying Timing Constraints -- 2.3 Synthesize the Design -- 3 Optimization Techniques -- 3.1 Area Optimization -- 3.2 Timing Optimization -- 3.3 Power Optimization -- 4 Proposed Work -- 5 Conclusion -- References -- Customer Segmentation Using RFM Model and a New Approach to Encourage Loyal Customers -- 1 Introduction -- 2 Related Work -- 3 Proposed System -- 3.1 Architectural Diagram -- 3.2 Algorithm -- 4 Result Analysis -- 5 Conclusion.
References -- Mechanism of Action: A Comparative Study -- 1 Introduction -- 2 Methodology -- 2.1 Outlier Detection and Mitigation -- 2.2 Recursive Feature Elimination Techniques for Enhanced Predictive Modelling -- 3 Analyzing the Impact of the Models on Statistical Findings -- 3.1 Random Forest -- 3.2 XGBoost -- 3.3 Extra Tree Classifier -- 3.4 Neural Network -- 4 Conclusion -- 5 Future Scope -- References -- Graph Database: Re-engineering Methodologies Relational to NOSQL Databases -- 1 Introduction -- 2 Related Work and Research -- 3 Methodologies SQL to NOSQL -- 4 Innovative Idea -- 5 Conclusion -- References -- Investigating the Quality of Explainable Artificial Intelligence: A Survey on Various Techniques of Post hoc -- 1 Introduction -- 1.1 Model Verification and Debugging -- 1.2 Knowledge Learning -- 2 Approach to Literature Survey -- 2.1 Understanding Phase -- 2.2 Explaining Phase -- 2.3 White Box Model Methods -- 2.4 Black Box Model Methods -- 2.5 Model-Specific Techniques -- 2.6 Model-Agnostic Techniques -- 2.7 Global Interpretation -- 2.8 Local Interpretation -- 3 Survey of Empirical Analysis -- 4 Conclusion and Future Directions -- References -- Machine Learning: Future Prospectus and Research Direction -- 1 Introduction -- 2 Literature Review -- 3 Research on Machine-Learning Development -- 4 Result -- 5 Conclusion -- References -- Challenges of Building a Virtual Team -- 1 Introduction -- 2 Theory Review -- 2.1 Meaning of Virtual Team -- 2.2 Challenges of Virtual Team Building -- 2.3 Manager's Role in Successful Virtual Team Building Process -- 2.4 Real Cases -- 3 Objective -- 3.1 Proposed Model for the Effective Virtual Team Building Process -- 3.2 Model Summary of "Unique Model for Effective Virtual Team Building Process" -- 4 Final Remarks and Conclusions -- References.
Behavioural Factors Influencing Intention of GenZ to Use ChatGPT: Examining the Moderating Role of Education and Profession -- 1 Introduction -- 2 Literature Review and Hypotheses Development -- 2.1 What Is ChatGPT? -- 2.2 What Is UTAUT2? -- 2.3 Herding Bias and Intention to Use ChatGPT -- 2.4 Optimism Bias and Intention to Use ChatGPT -- 2.5 Effect of Profession -- 2.6 Effect of Education -- 3 Research Methodology, Analysis, and Results -- 3.1 Sampling, Questionnaire, and Scale Development -- 3.2 Descriptive Analysis -- 3.3 Measurement Model Evaluation -- 3.4 Structural Model and Hypotheses Testing -- 4 Discussion -- 5 Practical Implications -- 6 Limitations and Future Research -- 7 Conclusion -- References -- Reduction of Throughput Time in Digital Publishing Using AI-Based Smart Systems -- 1 Introduction -- 2 Manual Quality Check System -- 2.1 Quality Check -- 2.2 Structural and Content Check -- 2.3 Shortcomings and Scope of Improvement -- 3 Automated Quality Checking System -- 4 Conclusion -- References -- 0A Comprehensive Review on Anomaly Detection Techniques for Web Data Logging -- 1 Introduction -- 2 Background -- 2.1 Supervised Machine-Learning Algorithm -- 2.2 Unsupervised Machine-Learning Algorithms -- 2.3 Deep Learning Algorithms -- 2.4 Deep Learning Unsupervised Algorithms: -- 3 Related Work -- 4 Discussion -- 5 Conclusion and Future Work -- References -- An Energy-Centric Routing Protocol for IoT Networks in 5G and Beyond -- 1 Introduction -- 2 Related Work -- 3 Proposed System Model -- 3.1 Contribution -- 3.2 Network Framework -- 3.3 Network Model -- 4 Proposed Methodology -- 4.1 Cluster Head Selection -- 4.2 Hybrid Cluster Formation -- 4.3 Chain-Based Routing -- 5 Performance Evaluation Parameters -- 5.1 Cluster Head Distribution -- 5.2 Energy Efficiency -- 5.3 Delay Analysis -- 6 Conclusion -- References.
City Ranking System: A Comprehensive Evaluation Framework for Urban Development -- 1 Introduction -- 2 Literature Review -- 3 Implementation -- 3.1 Data Collection -- 3.2 Data Cleaning and Processing -- 3.3 User Interface -- 4 Conclusion -- References -- Krushi Snehi: A Web-Based Application for Safe and Smart Farming -- 1 Introduction -- 2 Literature Survey -- 3 Methods and Materials -- 3.1 EfficientNetB5 Model -- 4 Results and Discussion -- 5 Conclusion -- References -- Human Factors and Use of the Surgical Guide in Dentistry-Real Practice Example -- 1 Introduction -- 2 Methods -- 3 Technological Realization -- 4 Results -- 5 Conclusion -- 6 Conflicts of Interest -- References -- Text-To-Image Generation Using Generative Adversarial Networks with Adaptive Attribute Modulation -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Overview -- 3.2 Multi-attribute -- 4 Discussion -- 5 Conclusion -- References -- Real-Time Data and Analytics on Building Management System to Control Energy Consumption -- 1 Introduction -- 2 Conceptual Framework -- 3 Conclusion -- References -- A Machine Learning-Based Smart Stick for the Blind with Effective Sensor Responses -- 1 Introduction -- 2 Literature Review -- 3 The Solution -- 3.1 Hardware Requirement -- 3.2 Software Requirement -- 3.3 Language Used -- 4 Research Methodology -- 4.1 System Architecture -- 5 Result -- 5.1 Code Snippets -- 6 Conclusion -- References -- Role of Financial Literacy and Trust in Perceived Usefulness of Robo Advisory Services -- 1 Introduction -- 2 Literature Review and Hypotheses Development -- 2.1 What is Robo Advisory Services? -- 2.2 Technology Acceptance Model (TAM) -- 2.3 Financial Literacy and Perceived Usefulness -- 2.4 Trust and Perceived Usefulness -- 2.5 Effect of Age -- 2.6 Effect of Gender -- 3 Research Methodology, Analysis and Results.
3.1 Sampling, Questionnaire and Scale Development.
Record Nr. UNINA-9910857784203321
Kaiser M. Shamim  
Singapore : , : Springer Singapore Pte. Limited, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering [[electronic resource] ] : TCCE 2022 / / edited by M. Shamim Kaiser, Sajjad Waheed, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray
Proceedings of the Fourth International Conference on Trends in Computational and Cognitive Engineering [[electronic resource] ] : TCCE 2022 / / edited by M. Shamim Kaiser, Sajjad Waheed, Anirban Bandyopadhyay, Mufti Mahmud, Kanad Ray
Autore Kaiser M. Shamim
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (537 pages)
Disciplina 621.39
Altri autori (Persone) WaheedSajjad
BandyopadhyayAnirban
MahmudMufti
RayKanad
Collana Lecture Notes in Networks and Systems
Soggetto topico Computational intelligence
Artificial intelligence
Computer vision
Internet of things
Computational Intelligence
Artificial Intelligence
Computer Vision
Internet of Things
Soggetto non controllato Engineering
Technology & Engineering
ISBN 981-19-9483-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Early Prediction and Analysis of DTI and MRI-based Alzheimer's Disease through Machine Learning Techniques -- Ensemble Machine Learning Technique for Identifying COVID-19 from CT Scan Images -- Machine Learning Based Tomato Leaf Disease Diagnosis Using Radiomics Features -- Effective Feature Extraction via Segmented t-Stochastic Neighbor Embedding for Hyperspectral Image Classification.
Record Nr. UNINA-9910728396803321
Kaiser M. Shamim  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui