Autore	Bhattacharya Abhishek
Edizione	[1st ed. 2025.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025
Descrizione fisica	1 online resource (719 pages)
Disciplina	006.3
Altri autori (Persone)	DuttaSoumi ChakrabartiAmlan PerumalThinagaran
Collana	Lecture Notes in Networks and Systems
Soggetto topico	Computational intelligence Image processing - Digital techniques Computer vision Data protection Telecommunication Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Data and Information Security Communications Engineering, Networks
ISBN	981-9663-03-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	ZigZag Local Binary Pattern (ZZ-LBP): A novel local descriptor for Face Analysis in Unconstrained Conditions -- Development of Injectable Nano robots for Targeted Cancer Cell Destruction -- A Neural Network based Efficient Cluster Selection Mechanism for MANET -- Enhancing Well-Being Through Computational Emotion Analysis in Hindi Language Text.-Stock Price Prediction Using ARIMA with Option Chain Data and Technical Indicators.-Resource Scheduling Algorithm Based on Greedy Strategy in Green Cloud -- A Comprehensive Analysis on the Impact of Environmental and Technological Factors on CO2 Emissions Using Machine Learning and Explainable AI -- Etc. .
Record Nr.	UNINA-9911022164103321

Autore	Bhattacharya Abhishek
Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (480 pages)
Disciplina	006.3
Altri autori (Persone)	DuttaSoumi DuttaParamartha SamantaDebabrata
Collana	Lecture Notes in Networks and Systems
Soggetto topico	Computational intelligence Quantitative research Image processing - Digital techniques Computer vision Data protection Telecommunication Computational Intelligence Data Analysis and Big Data Computer Imaging, Vision, Pattern Recognition and Graphics Data and Information Security Communications Engineering, Networks
ISBN	9789819749287 981974928X
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	E-waste Classification using Pre-trained Deep Learning CNN Model -- Explorative Data Analysis on COVID-19 Vaccine Hesitancy in United States -- Stress Detection while doing Exam using EEG with Machine Learning Techniques -- Detection of Fake News using Machine Intelligence for Societal Benefit -- Drug Recommendations using Support Vector Machine -- Fraud Detection on payment using Credit Card, Online Transactions and Banking -- Twitter Sentiment Analysis using Stacking Machine Learning Approach -- Machine learning based Network Intrusion Detection System for IoT Environment -- Periodic Frequent Pattern Mining with Consideration of Periodic Improvements for Business Promotion -- Latent Dirichlet Allocation for Topic Modeling and Intelligent Document Classification -- Artificial Intelligence Based Smart Traffic Control System -- Leveraging Sentiment Analysis of Drugs Review-Based Drugs Recommender System -- An AI-based Integrated Framework for Motion-Activated Facial Recognition -- Rice Leaves Disease Detection Mechanism using VGG16 Deep Learning Architecture -- Advancements in Deep Learning Models for Epileptic Seizure Detection: Algorithms, Applications, and Future Perspectives -- A Comprehensive Study on Reddit Users’ Attitude Towards ChatGPT -- Using OpenCV Space Detection System -- Design and Evaluation of a Customized CNN Architecture for Early Detection of Lung Cancer -- Detecting Common Diseases of Potato Leaf Applying Deep Learning Techniques -- Forecasting Bitcoin Prices using LSTM: A Comparative Evaluation with Future Prediction -- Credit Card fraudulent transaction detection using Machine Learning Techniques -- Revolutionizing Attendance Tracking: A Smart System Utilizing Face Recognition Technology -- Comparative Analysis of Tomato Leaf Diseases in Relation to Soil Nutrition Data -- Deep Learning-Based Smart Surveillance System -- A Guide Tour to Systematic Review and Research perspective on Movie Based Recommendation System.
Record Nr.	UNINA-9910886995803321

Autore	Bhattacharya Abhishek
Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (633 pages)
Disciplina	006.3
Altri autori (Persone)	DuttaSoumi DuttaParamartha PiuriVincenzo
Collana	Advances in Intelligent Systems and Computing
Soggetto topico	Computational intelligence Quantitative research Image processing - Digital techniques Computer vision Data protection Telecommunication Computational Intelligence Data Analysis and Big Data Computer Imaging, Vision, Pattern Recognition and Graphics Data and Information Security Communications Engineering, Networks
ISBN	981-9905-50-8
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Foreword -- Preface -- Contents -- About the Editors -- Computational Intelligence -- Transience in COVID Patients with Comorbidity Issues-A Systematic Review and Meta-Analysis Based on Indian and Southeast Asian Context -- 1 Introduction -- 1.1 Risk of COVID Patients with Comorbidity Issues -- 2 COVID Patient Statistics with Comorbidity Issues -- 3 Research Methodology -- 3.1 Search Strategy -- 4 Related Literature Survey in This Area -- 5 Discussion -- 6 Conclusion and Future Scope -- References -- NFT HUB-The Decentralized Non-Fungible Token Market Place -- 1 Introduction -- 1.1 Non-Fungible Token -- 1.2 Blockchain -- 2 Literature Survey -- 3 Proposed System -- 3.1 Blockchain -- 3.2 Ethereum Blockchain -- 3.3 Properties of Blockchain -- 3.4 Generic Elements of the Blockchain -- 3.5 Secure Hash Algorithm -- 4 Results and Discussion -- 4.1 Deployment Confirmation -- 4.2 Metamask Wallet -- 4.3 Minting Page -- 4.4 Transaction Address -- 4.5 Dashboard -- 5 Conclusion -- 5.1 Future Scope of the Project -- References -- Hashgraph: A Decentralized Security Approach Based on Blockchain with NFT Transactions -- 1 Introduction -- 1.1 Optimized Blockchain Server -- 2 Literature Survey -- 2.1 Survey Report: On Token Service -- 2.2 Survey Report: On Main-Net Access -- 2.3 Survey Report: Remove Centralized Control: Hala Systems -- 3 Proposed System -- 3.1 Non-Fungible Transaction -- 3.2 Blockchain Methodology -- 3.3 Gossip Protocol -- 3.4 Hashgraph -- 3.5 Consensus Algorithm [In Gossip Protocol] -- 3.6 HCS Implementation -- 4 Performance Evaluation -- 4.1 Transaction Cost Denomination of Our Network -- 4.2 Transaction Cost of Network on Blockchain NFT -- 5 Result and Discussion -- 6 Conclusion -- References -- Med Card: An Innovative Way to Keep Your Medical Records Handy and Safe -- 1 Introduction -- 1.1 What is Blockchain?. 1.2 What is Machine Learning? -- 2 Literature Review -- 3 Technologies Used -- 3.1 Blockchain in Health Care -- 3.2 Machine Learning in Health Care -- 4 Proposed Idea -- 4.1 What is a Med Card? -- 4.2 Workflow -- 5 Conclusion and Future Scope -- References -- Delta Operator-Based Modelling and Control of High Power Induction Motor Using Novel Chaotic Gorilla Troop Optimizer -- 1 Introduction -- 2 Formulation of the Problem -- 3 New Chaotic Gorilla Troop Optimizer -- 4 Simulation Ouput and Their Analysis -- 5 Conclusions -- References -- An Enhanced Optimize Outlier Detection Using Different Machine Learning Classifier -- 1 Introduction -- 2 Outlier Detection -- 3 Literature Review -- 4 Proposed Methodology -- 5 Simulation Result -- 6 Conclusion -- References -- Prediction of Disease Diagnosis for Smart Healthcare Systems Using Machine Learning Algorithm -- 1 Introduction -- 2 Heart Disease -- 3 Diabetes Mellitus -- 4 Proposed Methodology -- 5 Simulation Results -- 6 Conclusion -- References -- Optimization Accuracy on an Intelligent Approach to Detect Fake News on Twitter Using LSTM Neural Network -- 1 Introduction -- 2 Road Map of Methodology -- 2.1 Data Collection and Filtration -- 2.2 Pre-processing -- 2.3 Feature Extraction -- 2.4 Feature Selection -- 2.5 Classification -- 3 Proposed Methodology -- 4 Simulation Results -- 5 Conclusion -- References -- Advance Computing -- Mining User Interest Using Bayesian-PMF and Markov Chain Monte Carlo for Personalised Recommendation Systems -- 1 Introduction -- 2 Related Work and Background -- 3 Experimental Methodology -- 3.1 Probabilistic Matrix Factorization (PMF) -- 3.2 Bayesian-PMF with MCMC -- 3.3 Sparsity Reduction -- 3.4 Performance Measure -- 4 Proposed Architecture -- 5 Experimental Outcomes and Investigation -- 5.1 Dataset Description -- 6 Conclusion and Future Work -- References. Big Data and Its Role in Cybersecurity -- 1 Introduction -- 2 Security Using Big Data -- 2.1 Use of Big Data Analytic (BDA) as Defense Tool -- 2.2 Cybersecurity and Machine Learning -- 3 Cybersecurity Approaches in Big Data -- 4 Research Trends and Challenges -- 4.1 Use of Big Data in Defense -- 4.2 Laws Regulating to Big Data -- 4.3 Distribution of Data for Storage -- 4.4 Security Technique Scalability in the Big Data -- 5 Conclusions -- References -- QR Code-Based Digital Payment System Using Visual Cryptography -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Implementation -- 4.1 Encryption -- 4.2 AES Algorithm -- 4.3 Decryption -- 5 Result -- 6 Conclusion -- References -- A Study of Different Approaches of Offloading for Mobile Cloud Computing -- 1 Introduction -- 2 Research Method -- 3 Offloading for Mobile Cloud Computing -- 4 Applications Suitable for Offloading in MCC -- 5 Different Offloading Approaches -- 6 Conclusion -- References -- Use of Machine Learning Models for Analyzing the Accuracy of Predicting the Cancerous Diseases -- 1 Introduction -- 2 Related Work -- 3 Machine Learning Models -- 3.1 Logistic Regression -- 3.2 Decision Tree -- 3.3 Random Forest Classifier -- 4 Experiment -- 4.1 Experiment Environment -- 4.2 Breast Cancer Dataset -- 5 Experimental Results -- 6 Conclusion -- References -- Predict Employee Promotion Using Supervised Classification Approaches -- 1 Introduction -- 2 Related Works -- 3 Implementation -- 3.1 Proposed Model -- 3.2 Data Collection -- 3.3 Data Analysis -- 3.4 Engineered Functions -- 3.5 Train-Test-Split -- 3.6 Model Building -- 4 Performance Evaluation -- 5 Conclusion -- References -- Smart Grid Analytics-Analyzing and Identifying Power Distribution Losses with the Help of Efficient Data Regression Algorithms -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Results. 5 Conclusion -- References -- Load Balancing on Cloud Using Genetic Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Results -- 5 Conclusions and Future Work -- References -- Network Security and Telecommunication -- Hybrid Feature Selection Approach to Classify IoT Network Traffic for Intrusion Detection System -- 1 Introduction -- 2 Literature Survey -- 3 Research Gaps -- 4 Proposed Work -- 4.1 Proposed Methodology -- 5 Experimental Results -- 5.1 Dataset Description -- 5.2 System Configuration -- 5.3 Model Parameters -- 5.4 Performance Parameters -- 6 Conclusion -- References -- A Deep Learning-Based Framework for Analyzing Stress Factors Among Working Women -- 1 Introduction -- 2 Literature Survey -- 3 Stress Factors (Stressors) -- 3.1 Deep Learning: Background -- 3.2 Deep Learning-Based Framework for Early Stress Detection -- 4 Results and Discussion -- 5 Conclusion -- References -- Automatic Question Generation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Methodology -- 5 Conclusion and Future Scope -- References -- Automatic Construction of Named Entity Corpus for Adverse Drug Reaction Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Biomedical Named Entity Recognition -- 2.2 Datasets for Biomedical Entity Recognition -- 3 Proposed Work -- 3.1 ADR Corpus Overview -- 3.2 Corpus Construction Steps -- 4 Results -- 4.1 Contributions -- 4.2 Statistics -- 5 Discussion -- References -- A Space Efficient Metadata Structure for Ranking Subset Sums -- 1 Introduction -- 1.1 Problem Formulation -- 1.2 Past Work -- 1.3 Our Contribution -- 2 Outline of Our Technique -- 3 Generation of Top-kk Subsets -- 3.1 The Metadata Structure upper GG -- 3.2 Construction of Metadata Structure upper GG -- 3.3 Query Answering with Heap -- 3.4 Modified Metadata Structure upper GG -- 3.5 The Final Structure of upper GG. 3.6 Generation of Top-kk Subsets by upper GG on Demand -- 3.7 Getting Rid of the Bit String -- 4 Experimental Results -- 4.1 Analysis of the Results -- 5 Conclusion -- References -- Brain Tumour Detection Using Machine Learning -- 1 Introduction -- 2 Literature Survey -- 3 Methodology and Materials -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Implementation of a Smart Patient Health Tracking and Monitoring System Based on IoT and Wireless Technology -- 1 Overview -- 2 Block Diagram -- 3 Methodology and Results -- 3.1 Database Tracking and Maintenance -- 4 Conclusion and Future Scope -- References -- Diabetes Disease Prediction Using KNN -- 1 Introduction -- 2 Literature Survey -- 2.1 How is Data Science Revolutionizing the Healthcare Industry? -- 2.2 Role of Data Science in Health Care -- 2.3 Diabetes Detection Using Data Science -- 2.4 Flow of the Methodology Used for Diabetes Detection -- 3 Proposed System -- 4 Results -- 4.1 Experimental Results -- 4.2 Visualization of Obtained Results -- 5 Conclusion -- 6 Future Scope -- References -- Review: Application of Internet of Things (IoT) for Vehicle Simulation System -- 1 Introduction -- 2 Application -- 3 Basic Concepts of IoT -- 4 Simulation Concept -- 5 Simulation-Based Internet of Things -- 6 Application of Simulated IoT for System Used in Vehicle -- 7 Car Simulation Structure and Principle -- 8 Embedding Security Features in a Vehicle Using IoT -- 9 Conclusion and Future Scope -- References -- Data Science and Data Analytics -- Time Series Analysis and Forecast Accuracy Comparison of Models Using RMSE-Artificial Neural Networks -- 1 Introduction -- 2 Related Research -- 3 Neural Networks Models in Time Series -- 3.1 Feed-Forward Neural Network Model -- 3.2 Time-Lagged Neural Networks -- 3.3 Seasonal Artificial Neural Networks -- 3.4 Long Short-Term Memory (LSTM). 4 Time Series Analysis.
Record Nr.	UNINA-9910728933703321

Autore	Bhattacharya Abhishek
Pubbl/distr/stampa	Cambridge : , : Cambridge University Press, , 2012
Descrizione fisica	1 online resource (xiii, 237 pages) : digital, PDF file(s)
Disciplina	519.5
Collana	Institute of Mathematical Statistics monographs
Soggetto topico	Nonparametric statistics Manifolds (Mathematics)
ISBN	1-107-23115-9 1-280-39417-X 9786613572097 1-139-33789-0 1-139-09476-9 1-139-34034-4 1-139-34192-8 1-139-33702-5 1-139-33876-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Introduction -- Examples -- Location and spread on metric spaces -- Extrinsic analysis on manifolds -- Intrinsic analysis on manifolds -- Landmark-based shape spaces -- Kendall's similarity shape spaces [characters omitted] -- The planar shape space [characters omitted] -- Reflection similarity shape spaces R[characters omitted] -- Stiefel manifolds V[characters omitted] -- Affine shape spaces A[characters omitted] -- Real projective spaces and projective shape spaces -- Nonparametric Bayes inference on manifolds -- Nonparametric Bayes regression, classification and hypothesis testing on manifolds -- Appendixes: A. Differentiable manifolds -- B. Riemannian manifolds -- C. Dirichlet processes -- D. Parametric models on S[character omitted] and [characters omitted].
Record Nr.	UNINA-9910461617903321

Autore	Bhattacharya Abhishek
Pubbl/distr/stampa	Cambridge : , : Cambridge University Press, , 2012
Descrizione fisica	1 online resource (xiii, 237 pages) : digital, PDF file(s)
Disciplina	519.5
Collana	Institute of Mathematical Statistics monographs
Soggetto topico	Nonparametric statistics Manifolds (Mathematics)
ISBN	1-107-23115-9 1-280-39417-X 9786613572097 1-139-33789-0 1-139-09476-9 1-139-34034-4 1-139-34192-8 1-139-33702-5 1-139-33876-5
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Introduction -- Examples -- Location and spread on metric spaces -- Extrinsic analysis on manifolds -- Intrinsic analysis on manifolds -- Landmark-based shape spaces -- Kendall's similarity shape spaces [characters omitted] -- The planar shape space [characters omitted] -- Reflection similarity shape spaces R[characters omitted] -- Stiefel manifolds V[characters omitted] -- Affine shape spaces A[characters omitted] -- Real projective spaces and projective shape spaces -- Nonparametric Bayes inference on manifolds -- Nonparametric Bayes regression, classification and hypothesis testing on manifolds -- Appendixes: A. Differentiable manifolds -- B. Riemannian manifolds -- C. Dirichlet processes -- D. Parametric models on S[character omitted] and [characters omitted].
Record Nr.	UNINA-9910790278803321