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Human-Centric Smart Computing : Proceedings of ICHCSC 2023 / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Mario Köppen
| Human-Centric Smart Computing : Proceedings of ICHCSC 2023 / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Mario Köppen |
| Autore | Bhattacharyya Siddhartha |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (703 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
BanerjeeJyoti Sekhar
KöppenMario |
| Collana | Smart Innovation, Systems and Technologies |
| Soggetto topico |
Computational intelligence
User interfaces (Computer systems) Human-computer interaction Artificial intelligence - Data processing Computer networks - Security measures Computational Intelligence User Interfaces and Human Computer Interaction Data Science Mobile and Network Security |
| ISBN | 981-9977-11-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Registration of CT Images of Lung Using Fireworks Algorithm -- Exploring Microinteractions in Human–Computer Interaction: Design Principles, Types, and User Experience -- Opinion Mining-Based Predictive Model Based on Social Media Responses -- Quantifying the Impact and Growth of Smart Innovation, Systems and Technology: A Bibliometric Approach Mapping the Research Landscape Over 12 Years -- Decomposition into Multi-Objective Fronts: A Pivot-Based Deterministic Non-dominated Sorting Approach -- Currency Recognition App for Blind People. |
| Record Nr. | UNINA-9910838282203321 |
Bhattacharyya Siddhartha
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Human Centered Computing : Proceedings of HUMAN 2023 / / edited by Siddhartha Bhattacharyya, Jyoti Sekhar Banerjee, Debashis De, Mufti Mahmud
| Intelligent Human Centered Computing : 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 / / edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De, Leo Mrsic
| Recent Trends in Intelligence Enabled Research : Selected Papers of Fifth Doctoral Symposium, DoSIER 2023 / / edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De, Leo Mrsic |
| Autore | Bhattacharyya Siddhartha |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (223 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 | 981-9723-21-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Enhanced Methodology for Boosting Employee Retention Through Various ML and Data Engineering Methods -- 1 Introduction -- 2 Related Study -- 3 Solution Architecture for HR Analytics -- 4 Universal Integration -- 5 Results and Discussion -- 6 Conclusion -- References -- Intensity Estimation of Tropical Cyclones from Satellite Imagery Over North Indian Ocean -- 1 Introduction -- 1.1 Research on Tropical Cyclones Forecast -- 1.2 Challenges -- 1.3 The TC Intensity Estimation Problems -- 1.4 Motivation TC Intensity Estimation -- 2 TC Intensity Estimation -- 2.1 Overview -- 2.2 Intensity Estimation Over the NIO -- 3 TC Intensity Estimation Using Various Feature Extraction Techniques from Satellite Images -- 3.1 TC Intensity Estimation Using Feature Vector Analysis [22, 41] -- 3.2 TC Intensity Estimation by Multilayer Perceptron [42] -- 3.3 Feature Fusion and Machine Learning Classifier for TC Intensity Estimation [30, 43, 44] -- 3.4 Multilayer Multi-block Local Binary Pattern for TC Intensity Estimation [45, 46] -- 4 Discussion on Results -- 5 Conclusion -- References -- Real-Time State Estimation of Twin Rotor Multi-Input Multi-Output (MIMO) System Using Variants of Kalman Filter: A Comparative Analysis -- 1 Introduction -- 1.1 Novelty of the Work -- 2 Nonlinear Modeling of TRMS -- 3 Estimation of Nonlinear States -- 3.1 Extended Kalman Filter -- 3.2 Unscented Kalman Filter -- 3.3 Ensemble Kalman Filter -- 4 Comparative Analaysis -- 5 Conclusion -- References -- Movie-LSTM and Lexicon Technique-Based Movie Review Analysis -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Dataset Preprocessing -- 3.2 Feature Selection -- 3.3 Movie-LSTM Model -- 4 Experimental Results -- 4.1 Dataset Description -- 4.2 Performance Metrics -- 4.3 Result and Discussions -- 5 Conclusion.
References -- A Proposed Grid-Based Elephant Detection Model Using Artificial Intelligence (AI) to Prevent Crop Damage in Farming Fields -- 1 Introduction -- 2 Methodology -- 2.1 Discussing the Details of Proposed Workflow in the Following Steps -- 2.2 Simulation Environment and Scenario -- 3 Result Analysis -- 3.1 Discussion -- 3.2 Future Scope -- 3.3 Conclusion -- References -- Implementation of the Method of the Areas' Ratio on FPGA -- 1 Introduction -- 2 Structure the Method of the Areas' Ratio -- 3 Implementation of the Method Area's Ratio on FPGA -- 3.1 Determination of the Total Area (Stage 1) -- 3.2 Calculation of the Width of the Truncated MFs (Stage 2) -- 3.3 Calculation of the Total Area of the Truncated MFs (Stage 3) -- 3.4 Calculation Areas' Ratio (Stage 4) -- 3.5 Determination of a Crisp Value at the Defuzzifier Output (Stage 5) -- 4 Parallelization of Calculations to Improve Performance Device of Defuzzification -- 5 Experiment Results -- 6 Conclusion -- References -- Analysis of Pathfinding Algorithms for Mobile Robots Movement -- 1 Introduction -- 2 Algorithms' Overview -- 2.1 DFS -- 2.2 BFS -- 2.3 Wave Propagation Algorithm -- 3 Experiment Results -- 3.1 Results of Test 1 -- 3.2 Results of Test 2 -- 3.3 Results of Test 3 -- 4 Conclusion -- References -- Enhancing Avatar Emotion Detection Using Deep Learning with Modified VGG16 Architecture -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Preprocessing Phase -- 2.2 Classification Phase -- 3 Dataset Description -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Deep Learning Approach to Satellite Collision Avoidance Using Long Short-Term Memory -- 1 Introduction -- 2 Basics and Background -- 3 The Proposed Approach -- 4 Experimental Results and Analysis -- 4.1 Dataset Description -- 4.2 Evaluation Measure -- 4.3 Experimental Result. 5 Conclusion and Future Work -- References -- Portfolio Optimization Using Quantum-Inspired Dynamic Flower Pollination Optimizer -- 1 Introduction -- 2 Motivation and Contributions -- 3 Portfolio Management Overview -- 4 Dynamic Flower Pollination Optimizer -- 5 Quantum-inspired Dynamic Flower Pollination Optimizer -- 6 Experimental Results and Findings -- 7 Discussions and Conclusion -- References -- Error-Induced Brain-Actuated Motor Command Generation for Speed-Profile Setting in a 2-Loop Position Control of a Robot Arm -- 1 Introduction -- 2 System Overview -- 3 Modeling of the Proposed Brain-Actuated Speed Controller -- 3.1 Brain-Actuated Proportional-Type Speed Modulation -- 3.2 Zero-Crossing Sensitive Brain-Actuated Speed Modulation -- 3.3 Takagi-Sugeno Fuzzy Model for Speed Adaptation -- 4 Analysis of Stability Margin of the Proposed Controllers -- 5 Experiments -- 5.1 Preamble -- 5.2 Signal Processing -- 5.3 Classification -- 6 Performance Analysis -- 7 Conclusions -- References -- Effect of High-Low Doping Profile on Threshold Voltage Shift of Submicron Double-Gate MOSFET -- 1 Introduction -- 2 Structural Description -- 3 Mathematical Formulation -- 4 Result and Analysis -- 5 Conclusion -- References -- Explainable AI and Machine Learning in Prediction of Housing Prices -- 1 Introduction -- 1.1 Standard Models in Studies -- 2 Literature Review -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Removal of Irrelevant Attributes -- 3.3 Conversion of Categorical Data into Binary -- 4 Exploratory Data Analysis -- 5 Results Analysis -- 6 Conclusions -- 7 Future Scope -- References -- A Comprehensive Approach to Classify the Skin Cancer Disease Using Latest CNN Model (YOLOv8) -- 1 Introduction -- 2 Proposed Methodology -- 3 Experiment and Result -- 4 Conclusion -- References -- Uncertain Zone-Based Color Image Enhancement -- 1 Introduction. 2 Literature Survey -- 2.1 Uncertain Zone -- 3 Enhancement of Image -- 3.1 Image Fuzzification -- 3.2 Image Intensification -- 3.3 Fuzzy Image Entropy -- 3.4 Image Defuzzification -- 4 Proposed Method -- 5 Experiments and Outputs -- 6 Conclusion -- References -- Efficient Partitioning of a Multi-dimensional Axis-Aligned Space into Uniform Non-overlapping Sub-spaces for Diverse Applications -- 1 Introduction -- 1.1 N-Dimensional Axis-Aligned Space -- 1.2 The Partitions -- 1.3 Algorithm in Brief -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Calculating All Vertices of First Partition -- 3.2 Calculating All the Partitions -- 4 Pseudo-Code -- 5 Complexity Analysis -- 5.1 Time Complexity -- 5.2 Space Complexity -- 6 Performance Analysis -- 7 Applications -- 7.1 Optimizing K-Means Clustering Algorithm -- 7.2 Enhancing Kd-Trees for Efficient Spatial Search -- 7.3 Streamlining Vector Embedding Search -- 7.4 Summary -- 8 Conclusion -- References -- Electronic Copyright and Legal Application Regarding Non-fungible Tokens (NFTs) -- 1 Introduction -- 2 Understanding NFTs -- 3 Understanding Blockchain Technology for NFTs -- 3.1 Minting Algorithm -- 3.2 Token Structure (Simplified) -- 3.3 Transaction Flow -- 4 Legal Landscape in USA -- 5 Legal Landscape in India -- 6 Legal Ambiguities in NFT Projects -- 7 Challenges -- 8 Future Proceedings -- 9 How Proposed Work Addresses the Challenges -- 10 Conclusion -- References -- Forecasting of Rainfall in Subdivisions of India Using Machine Learning -- 1 Introduction -- 2 Review of Related Work -- 3 Proposed Methodology -- 3.1 Data Exploration and Analysis -- 3.2 Approach -- 3.3 Dataset Description -- 3.4 Data Preprocessing -- 3.5 Performance Metrics -- 4 Results Analysis -- 4.1 Prediction -- 5 Conclusions -- References -- Author Index. |
| Record Nr. | UNINA-9910861090703321 |
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Bhattacharyya Siddhartha
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Recent Trends in Intelligence Enabled Research : Selected Papers of Fourth Doctoral Symposium, DoSIER 2022 / / edited by Siddhartha Bhattacharyya, Gautam Das, Sourav De, Leo Mrsic
| Recent Trends in Intelligence Enabled Research : 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 / / by Siddhartha Bhattacharyya, Ujjwal Maulik
| Soft Computing for Image and Multimedia Data Processing / / 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 | ||
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