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Augmented and Virtual Reality in Immersive Healthcare
| Augmented and Virtual Reality in Immersive Healthcare |
| Autore | Murthy Hari |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2026 |
| Descrizione fisica | 1 online resource (573 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
KumarKukatlapalli Pradeep
Pawan FowdurTulsi UnalAynur |
| Soggetto topico | Virtual reality in medicine |
| ISBN |
1-394-30286-X
1-394-30285-1 9781394302857 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911040927203321 |
Murthy Hari
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| Newark : , : John Wiley & Sons, Incorporated, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Engineering and Data Science : Concepts and Applications
| Data Engineering and Data Science : Concepts and Applications |
| Autore | Kumar Kukatlapalli Pradeep |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Wiley, 2023 |
| Descrizione fisica | 1 online resource (467 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
UnalAynur
PillaiVinay Jha MurthyHari NiranjanamurthyM |
| Collana | Advance in data engineering and machine learning |
| Soggetto topico | Information technology |
| ISBN |
9781119841999
1119841992 9781119841982 1119841984 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Contents -- Preface -- Chapter 1 Quality Assurance in Data Science: Need, Challenges and Focus -- 1.1 Introduction -- 1.1.1 Quality Assurance and Testing -- 1.1.2 Data Science and Quality Assurance -- 1.1.3 Background -- 1.2 Testing and Quality Assurance -- 1.2.1 Key Terminologies Associated With Testing -- 1.3 Product Quality and Test Efforts -- 1.3.1 Testing Metrics -- 1.3.2 How to Improve the Business Value to Products Using Test Automation -- 1.3.3 Data Analysis and Management in Test Automation -- 1.3.4 Data Models in Data Science -- 1.4 Data Masking in Data Model and Associated Risks -- 1.5 Prediction in Data Science -- Case Study -- 1.6 Role of Metrics in Evaluation -- 1.7 Quantity of Data in Quality Assurance -- 1.8 Identifying the Right Data Sources -- 1.8.1 Need to Gather Up-to-Date Data -- 1.8.2 Synthesising Existing Advanced Technologies for Continuous Business Improvements -- 1.9 Conclusion -- References -- Chapter 2 Design and Implementation of Social Media Mining - Knowledge Discovery Methods for Effective Digital Marketing Strategies -- 2.1 Introduction -- 2.1.1 Objectives of the Study -- 2.2 Literature Review -- 2.3 Novel Framework for Social Media Data Mining and Knowledge Discovery -- 2.4 Classification for Comparison Analysis -- 2.5 Clustering Methodology to Provide Digital Marketing Strategies -- 2.5.1 Status (Text Form) -- 2.5.2 Images (Photos) -- 2.5.3 Video Post -- 2.5.4 Link Post -- 2.6 Experimental Results -- 2.7 Conclusion -- References -- Chapter 3 A Study on Big Data Engineering Using Cloud Data Warehouse -- 3.1 Introduction -- 3.2 Comparison Study of Different Cloud Data Warehouses -- 3.2.1 Amazon Redshift -- 3.2.2 High-Level Architecture of Amazon Redshift -- 3.2.3 Features of Amazon Redshift Cloud Data Warehouse -- 3.2.4 Pricing of Amazon Redshift Cloud Data Warehouse.
3.3 Snowflake Cloud Data Warehouse -- 3.3.1 High-Level Architecture of Snowflake Cloud Data Warehouse -- 3.3.2 Features of Snowflake Cloud Data Warehouse -- 3.3.3 Snowflake Cloud Data Warehouse Pricing -- 3.4 Google BigQuery Cloud Data Warehouse -- 3.4.1 High-Level Architecture of Google BigQuery Cloud Data Warehouse -- 3.4.2 Features of Google BigQuery Cloud Data Warehouse -- 3.4.3 Google BigQuery Cloud Data Warehouse Pricing -- 3.5 Microsoft Azure Synapse Cloud Data Warehouse -- 3.5.1 Microsoft Azure Synapse Cloud Data Warehouse Architecture -- 3.5.2 Features of Microsoft Azure Synapse Cloud Data Warehouse -- 3.5.3 Pricing of Microsoft Azure Synapse Cloud Data Warehouse -- 3.6 Informatica Intelligent Cloud Services (IICS) -- 3.6.1 Informatica Intelligent Cloud Services Architecture -- 3.6.2 Salient Features of Informatica Intelligent Cloud Services -- 3.6.3 Informatica Intelligent Cloud Services Pricing Model -- 3.7 Conclusion -- Acknowledgements -- References -- Chapter 4 Data Mining with Cluster Analysis Through Partitioning Approach of Huge Transaction Data -- 4.1 Introduction -- 4.2 Methodology Used in Proposed Cluster Analysis System -- 4.2.1 Design of Algorithms -- 4.3 Literature Survey on Existing Systems -- 4.3.1 Experimental Results -- 4.4 Conclusion -- References -- Chapter 5 Application of Data Science in Macromodeling of Nonlinear Dynamical Systems -- 5.1 Introduction -- 5.2 Nonlinear Autonomous Dynamical System -- 5.3 Nonlinear System - MOR -- 5.3.1 Proper Orthogonal Decomposition -- 5.4 Data Science Life Cycle -- 5.4.1 Problem Identification -- 5.4.2 Identifying Available Data Sources and Data Collection -- 5.4.3 Data Processing -- 5.4.4 Data Exploration -- 5.4.5 Feature Extraction -- 5.4.6 Modeling -- 5.4.7 Model Performance Evaluation -- 5.5 Artificial Neural Network in Modeling -- 5.5.1 Machine Learning. 5.5.2 Biological Neuron Model -- 5.5.3 Artificial Neural Networks -- 5.5.4 Network Topologies -- 5.5.4.1 NARX Neural Network -- 5.5.5 ANN Modeling Using Mathematical Models -- 5.6 Neuron Spiking Model Using FitzHugh-Nagumo (F-N) System -- 5.6.1 Linearization of F-N System -- 5.6.2 Reduced Order Model of Linear System -- 5.6.3 Finite Difference Discretization of F-N System -- 5.6.4 MOR of F-N System Using POD-Galerkin Method -- 5.7 Ring Oscillator Model -- 5.7.1 Model Order Reduction of Ring Oscillator Circuit -- 5.7.2 Ring Oscillator Circuit Approximation Using Linear System MOR -- 5.7.3 POD-ANN Macromodel of Ring Oscillator Circuit -- 5.8 Nonlinear VLSI Interconnect Model Using Telegraph Equation -- 5.8.1 Macromodeling of VLSI Interconnect -- 5.8.2 Discretisation of Interconnect Model -- 5.8.3 Linearization of VLSI Interconnect Model -- 5.8.4 Reduced Order Linear Model of VLSI Interconnect -- 5.9 Macromodel Using Machine Learning -- 5.9.1 Activation Function -- 5.9.2 Bayesian Regularization -- 5.9.3 Optimization -- 5.10 MOR of Dynamical Systems Using POD-ANN -- 5.10.1 Accuracy and Performance Index -- 5.11 Numerical Results -- 5.11.1 F-N System -- 5.11.2 Ring Oscillator Model -- 5.11.3 Reduced Order POD Approximation of Ring Oscillator -- 5.11.3.1 Study of POD-ANN Approximation of Ring Oscillator for Variation in Amplitude of Input Signal and for Different Input Signals -- 5.11.3.2 POD-ANN Approximation of Ring Oscillator for Variation in Frequency -- 5.11.4 POD-ANN Approximation of VLSI Interconnect -- 5.12 Conclusion -- References -- Chapter 6 Comparative Analysis of Various Ensemble Approaches for Web Page Classification -- 6.1 Introduction -- 6.2 Literature Survey -- 6.3 Material and Methods -- 6.4 Ensemble Classifiers -- 6.4.1 Bagging -- 6.4.1.1 Bagging Meta Estimator -- 6.4.1.2 Random Forest -- 6.4.2 Boosting -- 6.4.2.1 AdaBoost. 6.4.2.2 Gradient Tree Boosting -- 6.4.2.3 XGBoost -- 6.4.3 Stacking -- 6.5 Results -- 6.5.1 Bagging Meta Estimator -- 6.5.2 Random Forest -- 6.5.3 AdaBoost -- 6.5.4 Gradient Tree Boosting -- 6.5.5 XGBoost -- 6.5.6 Stacking -- 6.5.7 Comparison with Single Classifiers -- 6.6 Conclusion -- Acknowledgement -- References -- Chapter 7 Feature Engineering and Selection Approach Over Malicious Image -- 7.1 Introduction -- 7.2 Feature Engineering Techniques -- 7.2.1 Methodologies in Feature Engineering -- 7.2.2 Strides in Feature Engineering -- 7.2.3 Feature Extraction -- 7.2.4 Feature Selection -- 7.2.5 Feature Engineering in Image Processing -- 7.2.6 Importance of Feature Engineering in Image Processing -- 7.3 Malicious Feature Engineering -- 7.4 Image Processing Technique -- 7.4.1 Steps Involved in Image Processing Technique -- 7.4.2 Image Processing Task -- 7.4.2.1 Image Enhancement -- 7.4.2.2 Image Restoration -- 7.4.2.3 Coloring Image Processing -- 7.4.2.4 Wavelets Processing and Multiple Solutions -- 7.4.2.5 Image Compression -- 7.4.2.6 Character Recognition -- 7.4.2.7 Characteristics of Image Processing -- 7.5 Image Processing Techniques for Analysis on Malicious Images -- 7.6 Conclusion -- References -- Blog -- Chapter 8 Cubic-Regression and Likelihood Based Boosting GAM to Model Drug Sensitivity for Glioblastoma -- 8.1 Introduction -- 8.1.1 Glioblastoma -- 8.2 Literature Survey -- 8.3 Materials and Methods -- 8.3.1 Methodology -- 8.3.1.1 Generalized Additive Models (GAMs) -- 8.3.1.2 Model-Based Boosting - Boosted GAM -- 8.3.2 Datasets Description -- 8.4 Evaluations, Results and Discussions -- 8.4.1 Akaike Information Criterion (AIC) -- 8.4.2 Adjusted R-Squared -- 8.4.3 Discussion -- Conclusion -- References -- Chapter 9 Unobtrusive Engagement Detection through Semantic Pose Estimation and Lightweight ResNet for an Online Class Environment. 9.1 Introduction -- 9.2 Related Work -- 9.2.1 Analysis for a Classroom Environment -- 9.2.2 Pose Estimation -- 9.2.3 Face Alignment and Landmark Estimation -- 9.2.4 Deep Networks for Emotional Analysis -- 9.3 Proposed Methodology -- 9.3.1 Data Description -- 9.3.2 Facial Detection and Recognition -- 9.3.2.1 Face Detection -- 9.3.2.2 Facial Landmark Detection -- 9.3.3 Emotion Quantification -- 9.3.4 Pose Estimation -- 9.3.4.1 Facial Pose Estimation -- 9.4 Experimentation -- 9.5 Results and Discussions -- Conclusion -- References -- Chapter 10 Building Rule Base for Decision Making - A Fuzzy-Rough Approach -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 Discretization of the Dataset Using Fuzzy Set Theory -- 10.4 Description of the Dataset -- 10.5 Process Involved in Proposed Work -- 10.6 Experiment -- 10.7 Evaluation Result -- 10.8 Discussion -- Conclusion -- References -- Chapter 11 An Effective Machine Learning Approach to Model Healthcare Data -- 11.1 Introduction -- 11.2 Types of Data in Healthcare -- 11.3 Big Data in Healthcare -- 11.4 Different V's of Big Data -- 11.5 About COPD -- 11.6 Methodology Implemented -- Conclusion -- References -- Chapter 12 Recommendation Engine for Retail Domain Using Machine Learning Techniques -- 12.1 Introduction -- 12.2 Proposed System -- 12.2.1 Classification of Suppliers -- 12.2.2 Recommendation for Buyer -- 12.2.3 Forecasting Using ARIMA Model -- 12.3 Results -- 12.3.1 ARIMA Forecasting -- 12.4 Conclusion -- References -- Chapter 13 Mining Heterogeneous Lung Cancer from Computer Tomography (CT) Scan with the Confusion Matrix -- 13.1 Introduction -- 13.2 Literature Review -- 13.3 Methodology -- 13.3.1 Description of the Data -- 13.3.2 Image Preprocessing -- 13.3.3 Image Segmentation -- 13.3.4 Image Processing -- 13.3.5 Zero Component Analysis (ZCA) Whitening -- 13.3.6 Local Binary Pattern (LBP Feature). 13.3.7 LESH Vector. |
| Record Nr. | UNINA-9911019807303321 |
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Kumar Kukatlapalli Pradeep
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| Wiley, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Big Data Analytics : Proceedings of IDBA 2025, Volume 2
| Data Science and Big Data Analytics : Proceedings of IDBA 2025, Volume 2 |
| Autore | Mishra Durgesh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (741 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
YangXin-She
UnalAynur JatDharm Singh |
| Collana | Learning and Analytics in Intelligent Systems Series |
| Soggetto topico |
COMPUTERS / Artificial Intelligence / General
COMPUTERS / Database Administration & Management MATHEMATICS / Probability & Statistics / General |
| ISBN | 3-032-05373-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Learning and Analytics in Intelligent Systems -- Data Science and Big Data Analytics -- Preface -- Contents -- Congestion Control Approach for Bandwidth Utilization and Delay Minimization in VANETs -- Oracle APEX for Healthcare: Enhancing Electronic Health Record Integration and Patient Data Management -- Self-Healing Cloud Infrastructure: Leveraging AI for Fault Detection and Recovery -- Predictive Analytics for Cataract Surgical Outcomes: A Machine Learning Approach -- Care Tracker: Digital Management for Healthcare Using Google Cloud -- Counter Hijacking Simulation System for Sky Marshalling Operations -- Machine Learning for Decision Tree Malware Detection System in Mobile Ad-Hoc Network -- Analysis of Water Quality Using Satellite Imagery and GIS Technology Using Cloud Computing -- Load Optimization Using Dynamic Workload Distribution of Cloud Storage -- Lung Cancer Prediction Through Using CNN and Xception Based Transfer Learning -- Destinai: An AI-Powered Personalized Travel Planning System -- EcoTrack: Smart Waste Management and Community Engagement for a Sustainable Future -- Enhancing Railway Safety Using Zigbee and IoT-Enabled Energy-Efficient Wireless Sensor Network Approach -- Implementation of Memristor Based 8T SRAM Cells for Optimizing Noise Voltage Reliability -- Hierarchical Temporal Memory and Its Comparative Study with Neural Networks -- Automated Subparametric Mesh-Based Optical Flow Estimation and Video Quality Enhancement -- Building Resilient Cryptocurrency Ecosystems: Lessons from Cyberattacks and the Role of Blockchain and AI -- Eco-Engine: The Environmental Impact and Carbon Sequestration Estimation System using NLP -- Enhancing Student Learning Through a Web Based Peer Tutoring Platform: A Technological Approach to Academic Support (StutorPal) -- An Intelligent and Fast YouTube Video Content Summarizer.
Optimizing Candidate Selection: Machine Learning for Predicting Election Ticket Allocation and Damage Control -- Predicting System Failures Using Machine Learning: An Analytical Comparison -- Decentralised Employee Training Recommendation Systems with Federated Learning -- Decentralized Blockchain Wallet for Secure Transaction Using Internet Control Protocol -- Revolutionizing Retail: Automated Grocery Billing and Verification via YOLO-V7 -- Interactive Gloves for Real-Time Gesture Translation -- One-Stop Crime Solution: AI-Based Platform for Predictions of Potential Crime Occurrence -- Dual Trust for Probe Attack Detection and Security Technique to Wedge Malicious Continuous Prevalence in MANET -- SprechX: A Decentralized Social Media Platform for Transparent and Empowered Public Discourse -- Exploring Context-Aware Financial Advisory Systems: Insights into Sentiment Analysis and Personalized Investment Strategies -- A Comprehensive Review on Adaptive Ensemble Serial Cascade Convolution Networks for Early-Stage Heart Disease Prediction -- Gen AI-Driven AI Threats: Enhancing Cyber Security in Military Cyber-Physical Systems -- Performances of Progressive Ensemble Machine Learning Models for Alzheimer Disease Prediction -- Blood Cancer Detection Using LSTM from Microscopic Blood Images -- Leveraging Ensemble Technique for Optimal Asset Liability Management: Evidence from an Indian Bank -- Evaluating Machine Learning Approaches for Predicting Mental Health Among Working Professionals -- Enhancing Telemedicine Services Through AI, Blockchain, and Cloud Computing Integration -- RETRACTED CHAPTER: AI-Enabled Intelligent Transportation Systems for Optimizing Internet of Vehicles (IoV) Performance -- Disruptive Technology: Thriving Strategies and Dynamics of Breeze Changes. Innovative Approach to Enhancing Through Heterogeneous Context-Aware Graph Convolutional Networks for Accurate Ripeness Detection and Yield Estimation with Comprehensive Performance Metrics Evaluation -- Cyber Resilience Strategies Against Ransomware in SCADA Systems for Oil and Gas Operations -- AI-Driven Continuous Authentication: Integrating Deep Learning with Multimodal Biometrics for Enhanced Identity Verification -- Autonomous AI Agents for Identity Governance: Enhancing Financial Security Through Intelligent Insider Threat Detection and Compliance Enforcement -- A Comparative Analysis of Generative AI Models Based on Empirical Evaluation for Video Generation from Structured Scripts -- Is Indian HRM Landscape Ready to Implement AI in Recruiting Leadership Positions? A Quantitative Analysis -- Retraction Note to: AI-Enabled Intelligent Transportation Systems for Optimizing Internet of Vehicles (IoV) Performance -- Author Index. |
| Record Nr. | UNINA-9911028742603321 |
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Mishra Durgesh
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| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Big Data Analytics : Proceedings of IDBA 2023 / / edited by Durgesh Mishra, Xin She Yang, Aynur Unal, Dharm Singh Jat
| Data Science and Big Data Analytics : Proceedings of IDBA 2023 / / edited by Durgesh Mishra, Xin She Yang, Aynur Unal, Dharm Singh Jat |
| Autore | Mishra Durgesh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (733 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YangXin-She
UnalAynur JatDharm Singh |
| Collana | Data-Intensive Research |
| Soggetto topico |
Computational intelligence
Quantitative research Data mining Data protection Computational Intelligence Data Analysis and Big Data Data Mining and Knowledge Discovery Data and Information Security |
| ISBN |
9789819991792
981999179X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysing the role of social influence in adoption of technology for student assessment in Indian management institutions -- Plastic and Non-Plastic Waste Classification using Machine Learning Techniques -- Prediction of Customer Satisfaction in E- banking Services through Neural Network Approach -- Role of AI and Machine Learning in Mental Healthcare -- Proposed a mechanism to precise diagnostics in X-ray film using Fuzzy Logic Controller -- Human Gender Classification of Males and Females in a Crowd using Deep Learning Techniques -- Analysis on prediction of crop diseases using TensorFlow with Keras and OpenCV technique of deep learning -- Design of convolutional encoder for multivalued logic -- Improving the efficiency of water quality prediction using the Supertml approach in machine learning -- Probabilistic Data Structure using hashing technique for big data security de- duplication in cloud environment -- Malicious account detection using ANN -- Performance Evaluation of LiCi-2Ultra-lightweight Block Cipher. |
| Record Nr. | UNINA-9910845092903321 |
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Mishra Durgesh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Big Data Analytics : Proceedings of IDBA 2024 / / edited by Durgesh Mishra, Xin-She Yang, Aynur Unal, Dharm Singh Jat
| Data Science and Big Data Analytics : Proceedings of IDBA 2024 / / edited by Durgesh Mishra, Xin-She Yang, Aynur Unal, Dharm Singh Jat |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XIV, 819 p. 332 illus., 282 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Learning and Analytics in Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Artificial intelligence - Data processing Big data Computational Intelligence Artificial Intelligence Data Science Big Data |
| ISBN | 981-9798-55-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911003592803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Big Data Analytics : ACM-WIR 2018 / / edited by Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal
| Data Science and Big Data Analytics : ACM-WIR 2018 / / edited by Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (418 pages) |
| Disciplina | 005.7 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Big data Data mining Data protection Computational Intelligence Big Data Data Mining and Knowledge Discovery Data and Information Security |
| ISBN | 981-10-7641-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Study of the Correlation between Internet Addiction and Aggressive Behavior Among the Namibian University Students -- An efficient model for outlier detection in time series dataset using clustering approach -- Genetic Algorithm Approach for Optimization of Biomass Estimation at LiDAR -- E-ALIVE: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care -- An Effective TCP’s Congestion Control Approach for Cross Layer Design in MANET -- A Study on Applying Agile Methodology to Manufacturing Industry Cloud Applications -- Baron-Cohen Model based Personality Classification using Ensemble Learning -- Analysis of Routing Protocols for Large Scale Multihop Multirate MANETs -- Review on Internet Traffic Sharing using Markov Chain Model in Computer Network -- Protein Sequence of Dengue Virus Classification and Secondary Structure Prediction using Random Forest Classifier -- Anomaly detection using Dynamic Sliding Window in Wireless Body Area Networks -- Scalable Privacy preservation in Big Data with Cloud Service Access -- Effective Healthcare Services by IoT based Model of Voluntary Doctors -- Multi Layer Architectures for SQLI Detection and Prevention in Web Application Development -- Emotional State Recognition with EEG signals using Subject Independent Approach -- Development of Early Prediction Model for Epileptic Seizures -- Research Issue in data Anonymization in Electronic Health Service: A survey -- Prediction of Cervical Cancer based on the life style, habits and diseases using Regression Analysis framework -- Novel outlier detection by integration of clustering and classification -- A Study on Benefits of Big Data for Retail Industry -- Protection of User Information by using Modified Data Copy Technique in Data Mining -- Performance Analysis of Traffic at Intersection using Direction Based Clustering in VANET -- Load Balancing using Amazon Cloud Services -- A Review of Wireless Charging Nodes in Wireless Sensor Networks -- Leeway of Lean concept to optimize Bigdata in manufacturing industry: An exploratory review -- NeuroFeedback Guided Learning Style Adaptability Derived from EEG Sensors -- Monitoring Public Participation in Multi-Lateral Initiatives using Social Media Intelligence -- An efficient Context-aware Music Recommendation based on Emotion and Time Context -- Locating and Detecting Nipple for Pornographic Image Identification.-Implementation of Improved Energy Efficient FIR Filter using Reversible Logic -- A Study on benefits of Big data for healthcare sector of India -- Handling Uncertainty in Linguistics using Probability Theory -- Review of Quality of Service based Techniques in Cloud Computing -- Skyline Computation for Big Data -- Available Energy Aware Multipath Routing For Reliable Service Discovery in MANET -- Human Face Detection Enabled Smart Stick for Visually Impaired People -- Web Based Service Recommendation System by Considering User Requirements -- Optimal Energy Conservation for Route Selection to improve in MANET -- Unsupervised Machine Learning for Clustering the Infected Leaves based on the Leaf-colours -- Real Time Big Data Analysis Architecture and Application -- Missing Value Imputation in Medical Records for Remote Healthcare -- Reliable Data Discovery with Two Ray Ground Way on DSR Routing in MANET -- Secure vehicular communication using Road side unit (RSU) trust management scheme -- Recommendation Framework for Diet and Exercise based on Clinical Data: A Systematic Review -- Predictive Models for Recommanding Restaurent System by users own Preference -- Security Assessment of SAODV Protocols in Mobile Adhoc Networks -- Attack Detection and its Analysis in DTN Mobile Ad-hoc network -- Secure Sum Computation using Homomorphic Encryption -- Traffic Analysis in Location Base Routing System in MANET -- Automated Workload management using machine learning -- A survey on Link Recovery in Wireless Mesh Network using resilience scheme -- MultiUser Detection in Wireless Networks Using Decision Feedback Signal Cancellation -- ANN Based Predictive State Modelling of Finite State Machines -- Deep dive exploration of mixed reality in the world of Big Data. |
| Record Nr. | UNINA-9910484750103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Security : Proceedings of IDSCS 2020 / / edited by Dharm Singh Jat, Samiksha Shukla, Aynur Unal, Durgesh Kumar Mishra
| Data Science and Security : Proceedings of IDSCS 2020 / / edited by Dharm Singh Jat, Samiksha Shukla, Aynur Unal, Durgesh Kumar Mishra |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (319 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Engineering - Data processing
Data protection Big data Artificial intelligence - Data processing Computational intelligence Data Engineering Data and Information Security Big Data Data Science Computational Intelligence |
| ISBN | 981-15-5309-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Approach to Predict Potential Edges in Online Social Networks -- A Novel Approach to Human-Computer Interaction using Hand Gesture Recognition -- Insider Threat Detection based on Anomalous Behavior of User for Cyber Security -- A Comparative Study of Text Mining Algorithms for Anomaly Detection in Online Social Networks -- Diabetic Retinopathy Detection using Convolutional Neural Network- a Study -- Implementation of Pisano period in Integer Factorization Algorithm. |
| Record Nr. | UNINA-9910484916103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart Trends in Information Technology and Computer Communications : Second International Conference, SmartCom 2017, Pune, India, August 18-19, 2017, Revised Selected Papers / / edited by A.V. Deshpande, Aynur Unal, Kalpdrum Passi, Dharm Singh, Malaya Nayak, Bharat Patel, Shafi Pathan
| Smart Trends in Information Technology and Computer Communications : Second International Conference, SmartCom 2017, Pune, India, August 18-19, 2017, Revised Selected Papers / / edited by A.V. Deshpande, Aynur Unal, Kalpdrum Passi, Dharm Singh, Malaya Nayak, Bharat Patel, Shafi Pathan |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XV, 364 p. 179 illus.) |
| Disciplina | 006.3 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Data protection Computer Communication Networks Data and Information Security |
| ISBN |
981-13-1423-3
978-981-13-1423-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Smart and secure systems -- Smart and service computing -- Smart data and IT innovations. |
| Record Nr. | UNINA-9910299304903321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Smart Trends in Information Technology and Computer Communications : First International Conference, SmartCom 2016, Jaipur, India, August 6–7, 2016, Revised Selected Papers / / edited by Aynur Unal, Malaya Nayak, Durgesh Kumar Mishra, Dharm Singh, Amit Joshi
| Smart Trends in Information Technology and Computer Communications : First International Conference, SmartCom 2016, Jaipur, India, August 6–7, 2016, Revised Selected Papers / / edited by Aynur Unal, Malaya Nayak, Durgesh Kumar Mishra, Dharm Singh, Amit Joshi |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XXV, 919 p. 487 illus.) |
| Disciplina | 004.6 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer networks
Application software Computer systems Computer Communication Networks Computer and Information Systems Applications Computer System Implementation |
| ISBN | 981-10-3433-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Smart and secure systems -- Technologies for digital world -- Data centric approaches -- Applications for e-agriculture and e-health -- Products and IT innovations -- Research for knowledge computing. |
| Record Nr. | UNINA-9910255018103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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