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Human-Centric Smart Computing : Proceedings of ICHCSC 2023
| Human-Centric Smart Computing : Proceedings of ICHCSC 2023 |
| Autore | Bhattacharyya Siddhartha |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (703 pages) |
| Altri autori (Persone) |
BanerjeeJyoti Sekhar
KöppenMario |
| Collana | Smart Innovation, Systems and Technologies Series |
| ISBN | 981-9977-11-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Advisory Committee -- Keynote Speakers of ICHCSC 23 -- Organizing Committee -- Technical Program Committee -- Preface -- Contents -- About the Editors -- 1 Registration of CT Images of Lung Using Fireworks Algorithm -- 1.1 Introduction -- 1.1.1 Transformation -- 1.2 Related Work -- 1.2.1 Medical Image Registration -- 1.3 Objective -- 1.4 Materials and Methods -- 1.4.1 FWA-IATF Algorithm -- 1.5 Result and Discussion -- 1.5.1 Image Dataset -- 1.5.2 Parameter Settings -- 1.5.3 Significance of Statistical Value -- 1.5.4 Multiple-Criteria Decision Making -- 1.6 Conclusion -- 1.7 Future Scope -- References -- 2 Exploring Microinteractions in Human-Computer Interaction: Design Principles, Types, and User Experience -- 2.1 Introduction -- 2.2 Understanding Microinteractions -- 2.3 Literature Review -- 2.4 Optimal Microinteraction Design -- 2.4.1 Components of a Microinteraction -- 2.4.2 Macrointeractions Versus Microinteractions -- 2.4.3 Types of Microinteractions -- 2.4.4 Principles for Designing Effective Microinteractions -- 2.4.5 Challenges -- 2.4.6 Discussion and Conclusion -- References -- 3 Opinion Mining-Based Predictive Model Based on Social Media Responses -- 3.1 Introduction -- 3.1.1 Related Works -- 3.1.2 Aim of Work -- 3.2 Proposed Work -- 3.2.1 Pre-processing Module -- 3.2.2 Tokenizing Module -- 3.2.3 Filtering Module -- 3.2.4 Identification of Relevant Words to the Unprecedented Event -- 3.3 Mathematical Model for Sentiment Score in Social Media -- 3.4 Experimental Analysis of Algorithm -- 3.4.1 Case 1 -- 3.4.2 Case 2 -- 3.4.3 Case 3 -- 3.4.4 Case 4 -- 3.5 Conclusion -- References -- 4 Quantifying the Impact and Growth of Smart Innovation, Systems and Technology: A Bibliometric Approach Mapping the Research Landscape Over 12 Years -- 4.1 Introduction -- 4.2 Methodology -- 4.3 Result Analysis.
4.3.1 Historical Evolution of Citations and Documents over Time -- 4.3.2 Top Prominent Writers -- 4.3.3 Most Significant Institutions -- 4.3.4 Most Significant Productive Countries Work -- 4.3.5 Top Impactful Cited Articles -- 4.3.6 Three-Field Plot -- 4.3.7 Thematic Map Making -- 4.3.8 Trend Topics -- 4.3.9 Co-occurrence of Words -- 4.3.10 Bibliographic Coupling of Countries -- 4.4 Conclusion -- References -- 5 Decomposition into Multi-Objective Fronts: A Pivot-Based Deterministic Non-dominated Sorting Approach -- 5.1 Introduction -- 5.1.1 Prerequisites -- 5.1.2 Literature Survey -- 5.1.3 Gap Identification and Motivation -- 5.1.4 Structure of the Paper -- 5.2 Methodology -- 5.2.1 Benchmark Data Set Specification -- 5.2.2 Pivot-Based Deterministic Non-dominated Sorting -- 5.3 Result and Analysis -- 5.3.1 Completeness and Correctness of the Algorithm -- 5.3.2 Complexity of the Proposed Algorithm -- 5.4 Conclusion -- 5.5 Future Scope -- References -- 6 Currency Recognition App for Blind People -- 6.1 Introduction -- 6.2 Relatedworks -- 6.3 Proposed System -- 6.4 Implementation -- 6.4.1 Dataset -- 6.4.2 Preparing the Data -- 6.4.3 Algorithm -- 6.4.4 Working of Convolutional Neural Network -- 6.5 Experimental Results -- 6.6 Conclusion -- References -- 7 A Hybrid Deep Convolution Neural Network Algorithm with Spatial Attention for Malware Detection in Android Operating System -- 7.1 Introduction -- 7.2 Literature Review -- 7.3 Proposed Methodology -- 7.3.1 Model Architecture -- 7.3.2 Algorithm -- 7.4 Results and Discussion -- 7.5 Conclusion -- References -- 8 Design and Development of Wireless Sensor Network for Real-Time Monitoring and Prevention of Accidents in Hilly Area -- 8.1 Introduction -- 8.2 Related Work -- 8.3 Methodology -- 8.3.1 Flow of Transmitter Section -- 8.3.2 Flowchart of Receiver Section -- 8.4 Conclusion -- References. 9 Enhancing Accuracy in Water Pollution Prediction that Results in Chronic Infections on Marine Life Using Multi-linear Regression and Random Forest Regression -- 9.1 Introduction -- 9.2 Literature Survey -- 9.3 Materials and Methods -- 9.3.1 Data Samples -- 9.3.2 Marine Life Diseases Parameters Preprocessing -- 9.3.3 Parameters Selection and Description -- 9.3.4 Weightage and WQI Calculations -- 9.3.5 Water Quality Index Prediction -- 9.3.6 Performance Measurement -- 9.4 Results and Discussions -- 9.5 Conclusion -- References -- 10 Virtual Scribe for Visually Impaired Learners Through Interactive Speech-Based Application -- 10.1 Introduction -- 10.2 Literature Survey -- 10.3 Implementation -- 10.4 Components and Working of V-Scribe System -- 10.5 Integration and Testing -- 10.6 Results -- 10.7 Limitations -- 10.8 Conclusion and Future Works -- References -- 11 Faster CNN-Based Layout Analysis of Punjabi Newspapers Using the Custom Dataset -- 11.1 Introduction -- 11.2 Related Work -- 11.3 Methodology -- 11.3.1 Pre-processing -- 11.3.2 Faster R-CNN -- 11.4 Data Collection and Annotation -- 11.4.1 Basic Details Regarding the Data -- 11.4.2 Data Pre-processing -- 11.4.3 Annotation of Punjabi Newspapers Images -- 11.5 Experiment -- 11.5.1 Environment Used -- 11.5.2 Dataset Creation -- 11.5.3 COCO Format -- 11.5.4 Metrices Used in Evaluating Model -- 11.5.5 Experiment Implementation -- 11.5.6 Major Challenges During Experiments -- 11.6 Conclusion -- References -- 12 Securing Data Based on Lightweight Algorithm for Internet of Things Networks -- 12.1 Introduction -- 12.2 Related Work -- 12.3 Proposed Algorithm -- 12.3.1 Key Expansion Block -- 12.3.2 Encryption Process -- 12.3.3 Decryption Process -- 12.4 Comparative Study of the Proposed IoT Symmetric Key Algorithm -- 12.4.1 Result and Analysis -- 12.5 Conclusion and Future Work -- References. 13 An Exploration of How Children Can Be Proactive for Their Own Digital Privacy and Security in the Perspective of North-Eastern Bangladesh -- 13.1 Introduction -- 13.2 Background Study -- 13.3 Method -- 13.4 Children and Their Digital Behavioral Patterns: Findings from the Interviews -- 13.5 The Game-Based Survey -- 13.6 Findings and Discussion -- 13.6.1 Discussion with Parents -- 13.6.2 Password Sharing -- 13.6.3 Online Friends not Known to Parents -- 13.6.4 Photo Posting and Sharing -- 13.6.5 Downloading and Online Shopping -- 13.6.6 Privacy and Security Practice and Knowledge -- 13.7 Recommendations -- 13.8 Limitations and Future Work -- 13.9 Conclusion -- References -- 14 A Scalable URL-Based Phishing Websites Detection System Using Machine Learning Techniques -- 14.1 Introduction -- 14.2 Related Work -- 14.3 Proposed System -- 14.3.1 System Architecture -- 14.3.2 Proposed System Algorithm: RF Model for Predicting the Type of Website -- 14.3.3 Dataset -- 14.3.4 Modules in the System -- 14.4 Results and Discussion -- 14.4.1 Evaluation Metrics -- 14.4.2 Testing and Results -- 14.5 Conclusion -- References -- 15 Accident Detection and Prevention for Advanced Driver Assistance System -- 15.1 Introduction -- 15.2 Literature Review -- 15.3 Methodology -- 15.3.1 Purpose and Requirements -- 15.3.2 Components -- 15.3.3 Algorithm -- 15.3.4 Circuit Diagram -- 15.4 Results -- 15.5 Conclusion -- References -- 16 Labor Safety Analysis Using Object Recognition and Deep Learning -- 16.1 Introduction -- 16.2 Literature Survey -- 16.3 Methodology -- 16.3.1 Procedure -- 16.3.2 Model -- 16.3.3 Dataset -- 16.3.4 Keyframe Extraction -- 16.4 Results and Discussion -- 16.5 Conclusion and Future Work -- References -- 17 Diagnosis of Faults in Wireless Sensor Networks Through Machine Learning Approach -- 17.1 Introduction -- 17.2 Related Work -- 17.3 Problem Statement. 17.3.1 Fault Taxonomy in WSNs -- 17.3.2 Challenges in Detecting Faults in WSNs -- 17.4 Extra Trees-Based Fault Detection Approach -- 17.4.1 Proposed Approach -- 17.4.2 System Model for Fault Detection -- 17.5 Experimental Results and Discussions -- 17.5.1 Simulations -- 17.5.2 Real Dataset -- 17.5.3 Prepared Dataset -- 17.6 Conclusion -- References -- 18 Career Change: Systematic Literature Review and Future Research Agenda -- 18.1 Introduction -- 18.2 Research Methodology -- 18.2.1 Process of Data Collection -- 18.2.2 Selection of Study -- 18.2.3 Capturing of Data and Reliability -- 18.3 Results and Discussion -- 18.3.1 Initial Analysis -- 18.3.2 Thematic Analysis -- 18.3.3 Methodological Analysis: Nature of Career Change Research Method -- 18.4 Implications, Direction for Future Scope and Limitations -- 18.4.1 Managerial Implications -- 18.4.2 Direction for Future Research -- 18.5 Conclusion -- References -- 19 Prediction of Heart Disease and Improving Classifier Performance Using Particle Swarm Optimization -- 19.1 Introduction -- 19.2 Literature Survey -- 19.3 Prediction of Heart Disease -- 19.4 Result Analysis -- 19.5 Conclusion -- References -- 20 Exploring Artificial Neural Network for X-Parameter and S-Parameter Modelling of HEMT -- 20.1 Introduction -- 20.2 X-Parameter Modelling of HEMTS -- 20.2.1 Review of Existing X-Parameter Modelling Techniques and Limitations of Conventional Approaches for Modelling of HEMTs -- 20.3 S-Parameter Modelling of HEMTS -- 20.3.1 Review of Existing S-Parameter Modelling Techniques for HEMTs -- 20.4 Artificial Neural Network-Based Modelling -- 20.5 Experimental Setup -- 20.5.1 HEMT Device and Measurement Setup for Acquiring the X-Parameters -- 20.5.2 HEMT Device and Measurement Setup for Acquiring the S-Parameters -- 20.6 Results and Discussion. 20.6.1 Analysis of the ANN Model's Capability in Predicting S-Parameters. |
| Record Nr. | UNINA-9910838282203321 |
Bhattacharyya Siddhartha
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Human Centered Computing [[electronic resource] ] : Proceedings of HUMAN 2023 / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Debashis De, Mufti Mahmud
| Intelligent Human Centered Computing [[electronic resource] ] : Proceedings of HUMAN 2023 / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Debashis De, Mufti Mahmud |
| Autore | Bhattacharyya Siddhartha |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (429 pages) |
| Disciplina | 004.019 |
| Altri autori (Persone) |
BanerjeeJyoti Sekhar
DeDebashis MahmudMufti |
| Collana | Springer Tracts in Human-Centered Computing |
| Soggetto topico |
Computational intelligence
Application software Machine learning Computational Intelligence Computer and Information Systems Applications Machine Learning |
| ISBN | 981-9934-78-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Intelligent Approach for Brain Tumor Classification using different CNN Variants -- Effective Estimation of Relationship Strength among Facebook Users Applying Pearson Correlation and Jaccard’s Coefficient -- Taxonomy of music genre using machine intelligence from feature melting technique -- Optimization of intraday trading in F&O on the NSE utilizing BOLLINGER BANDS -- Identification of mental state through speech using a deep learning approach -- Intellectual Property in Human Genomics in India -- Performance of Automated Machine Learning with Neural Network Estimators for the Classification of PCOS -- Job Recommendation a Hybrid Approach Using Text Processing -- A study to investigate the existence of monolexemic colour terms in Dravidian languages: A visual psychophysics approach -- Deep Artificial Neural Network based Blind Color Image Watermarking -- IoT Based Automatic Temperature Screening & Alert System for Symptomatic COVID-19 Detection -- Boosting machine learning algorithm to classify road conditions for maintenance strategy of flexible pavements -- Hyper parameterized LSTM models for predicting NSE intraday bias based on global market trends -- Malicious URL Classification using Machine Learning -- Prognostic stage classification for invasive breast cancer by analysing affected lymph node -- Survey of Task Scheduling algorithms for Minimizing Energy in a Cloud Computing Environment -- Human Stress Detection from SWCT EEG Data Using Optimised Stacked Deep Learning Model -- Impact of Carbon emission policies on an imperfect EOQ model under cloud fuzzy environment -- Rule-based investigation on positive change in air quality at Kolkata during lockdown period due to covid-19 pandemic -- Performance Analysis of Professional Higher Education Programmes Driven by Students Perception: A Latent Variable Computation Model for Industry 5.0 -- Graph Based Zero Shot Adverse Drug Reaction Detection From Social Media Reviews Using GPT-Neo -- Digital Twin for Industry 5.0: Concept, Methodologies, and Applications -- Application of Machine Learning Technology for Screening of Mental Health Disorder -- Novel Machine Learning Techniques for Diabetes Prediction -- Analysis of BLER and throughput during the coexistence of two 5G NR -- An Assessment of Forest Fire Dataset using Soft Computing Technique -- Predicting the data science employability rate using data mining techniques -- Classification of Online Fake News Using N-Gram Approach and Machine Learning Techniques -- An Edge Assisted Robust Smart Traffic Management and Signalling System for Guiding Emergency Vehicles During Peak Hours -- Patent Analysis on Artificial Intelligence in Food Industry: Worldwide Present Scenario -- Research of the influence of the fuzzy rules number on the learning of a neuro-fuzzy system -- Optimization of Traffic Flow Based on Periodic Fuzzy Graphs -- ChatGPT: A OpenAI Platform for Society 5.0. |
| Record Nr. | UNINA-9910731466003321 |
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Bhattacharyya Siddhartha
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Trends in Intelligence Enabled Research : Selected Papers of Fifth Doctoral Symposium, DoSIER 2023
| Recent Trends in Intelligence Enabled Research : Selected Papers of Fifth Doctoral Symposium, DoSIER 2023 |
| Autore | Bhattacharyya Siddhartha |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (223 pages) |
| Altri autori (Persone) |
DasGautam
DeSourav MrsicLeo |
| Collana | Advances in Intelligent Systems and Computing Series |
| ISBN | 981-9723-21-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910861090703321 |
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Bhattacharyya Siddhartha
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Trends in Intelligence Enabled Research [[electronic resource] ] : Selected Papers of Fourth Doctoral Symposium, DoSIER 2022 / / edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De, Leo Mrsic
| Recent Trends in Intelligence Enabled Research [[electronic resource] ] : Selected Papers of Fourth Doctoral Symposium, DoSIER 2022 / / edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De, Leo Mrsic |
| Autore | Bhattacharyya Siddhartha |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (298 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
DasGautam
DeSourav MrsicLeo |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Internet of things Big data Computational Intelligence Artificial Intelligence Internet of Things Big Data |
| ISBN | 981-9914-72-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Rules Extraction Methods from Neural Networks -- Quality Analysis of the Ganges River Water Utilizing Machine Learning Technologies -- Eye-Tracking Movements – A Comparative Study -- Cybersecurity Imminent Threats with Solutions in Higher Education -- A two-level fuzzy model for filtering signals of the automatic dependent surveillance-broadcast -- Towards More Robust Multiclass Aerial Solar Panel Detection and Classification -- PlantML: Some Aspects of Investigation on Deployment of Machine Learning Algorithm for Detection and Classification of Plants -- Big Data Analytics Based Recommendation System Using Ensemble Model -- Uncertainty Management in Brain Data for Olfactory Perceptual-Ability Assessment of Human Subjects by General Type-2 Fuzzy Reasoning -- Checkpoint based Round-robin Scheduling Technique towards Fault Tolerant Resource Management in Cloud Computing -- Cost Optimised Community-Based Influence Maximization -- A Novel Model for Automated Identification of Terrestrial Species -- Fish Detection from Underwater images using YOLO and its Challenges -- Design and Realization of an IoT Based System for Real-Time Monitoring Of Embryo Culture Conditions in IVF CO2 Incubators -- FPGA Implementations and Performance Analysis of Different routing Algorithms for the 2D-Mesh Network-on-Chip -- A Comparative Analysis of Non-Gradient Methods of Class Activation Mapping -- Deep Learning based Weight Initialization on Multi-layer Perceptron for Image Recognition -- Assessment of Air Quality as a Positive Impact of COVID-19 Lockdown with reference to an Industrial City and a Populated City of India -- Applications of Big Data in Various Fields: A Survey -- Performance Analysis of Healthcare Information in Big Data NoSql platform -- IoT Based Smart Internet Protocol Camera for Examination Monitoring -- Efficient Low Complexity Message Passing Algorithm for Massive MIMO Detection -- An Effective Community-Based Greedy Approach over Selected Communities for Influence Maximization. |
| Record Nr. | UNINA-9910734888603321 |
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Bhattacharyya Siddhartha
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Soft Computing for Image and Multimedia Data Processing [[electronic resource] /] / by Siddhartha Bhattacharyya, Ujjwal Maulik
| Soft Computing for Image and Multimedia Data Processing [[electronic resource] /] / by Siddhartha Bhattacharyya, Ujjwal Maulik |
| Autore | Bhattacharyya Siddhartha |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (278 p.) |
| Disciplina | 006.3 |
| Soggetto topico |
Artificial intelligence
Optical data processing Computational intelligence Data mining Artificial Intelligence Image Processing and Computer Vision Computational Intelligence Data Mining and Knowledge Discovery |
| ISBN | 3-642-40255-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chap. 1 Introduction -- Chap. 2 Transformation-Invariant Image Recognition Using Multilayer Perceptron -- Chap. 3 Energy Efficient Intelligent Lighting Control Using a Multilayer Perceptron -- Chap. 4 Target Tracking Using Fuzzy Hostility Induced Segmentation of Optical Flow Field -- Chap. 5 Binary Object Extraction by Bidirectional Self-organizing Neural Network Architecture -- Chap. 6 Multilevel Object Extraction by BDSONN Architecture -- Chap. 7 Color Object Extraction by Parallel BDSONN Architecture -- Chap. 8 Gray-Scale Image Edge Detection Using Rough Sets -- References -- Index. |
| Record Nr. | UNINA-9910437582703321 |
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Bhattacharyya Siddhartha
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||