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Advanced Computing [[electronic resource] ] : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part I / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel
| Advanced Computing [[electronic resource] ] : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part I / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel |
| Autore | Garg Deepak |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (525 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RodriguesJoel J. P. C
GuptaSuneet Kumar ChengXiaochun SaraoPushpender PatelGovind Singh |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Education - Data processing Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-56700-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The AI Renaissance: A New Era of Human-Machine Collaboration -- Age and Gender Estimation through Dental X-Ray Analysis -- Driver Drowsiness Detection System Using Machine Learning Techniques -- Facial Expression Recognition: Detection and Tracking -- Analysis and Implementation of Driver Drowsiness, Distraction, and Detection System -- Object Detection and Depth Estimation using Deep Learning -- Optimizing Biomass Forecasting & Supply Chain: An Integrated Modelling Approach -- Prediction of Deposition Parameters in Manufacturing of Ni-based Coating using ANN -- Decision Model for Cost Control of Transmission and Transformation Projects Considering Uncertainty: a GAN Algorithm -- Optimization Model of Construction Period in Special Construction Scenarios of Power Transmission and Transformation Project Based on Back Propagation Neural Network -- Vision-Based Human Activity Recognition Using CNN & LSTM Architecture -- ML Based Rupture Strength Assessment in Cementitious Materials -- Investigation of Power Consumption of Refrigeration Model and its Exploratory Data Analysis (EDA) by using Machine Learning (ML) Algorithm -- Prediction of Emission Characteristics of Spark Ignition Engines with Premium Level Gasoline-Ethanol-Alkane Blends using Machine Learning -- Depression Detection Using Distribution of Microstructures from Actigraph Information -- ELECTRA: A Comprehensive Ecosystem for Electric Vehicles and Intelligent Transportation using YOLO -- Application of Recurrent Neural Network in Natural Language Processing, AI Content Detection and Time Series Data Analysis -- Story Generation using GAN, RNN & LSTM -- Analysis of Effectiveness of Indian Political Campaigns on Twitter -- Voice Enabled Form Filling Using Hidden Markov Models -- Bayesian Network Model based Classifiers are used in an Intelligent E-learning System -- Where You Think Stock Takes with the Linear Regression Model -- Analysis of Parent with Fine Tuned Large Language Model -- AI Content Detection -- Developing an Efficient Toxic Comment Detector using Machine Learning Techniques -- Handwritten English Alphabets Recognition System -- Stock Price Prediction using Time Series -- Multi-Featured Speech Emotion Recognition Using Extended Convolutional Neural Network -- Large Language Models for Search Engine Optimization in E-commerce -- Handwritten Equation Solver: A Game-Changer in Mathematical Problem Solving -- Unveiling the Next Frontier of AI Advancement -- Advancing Image Classification through Self-Teachable Machine Models and Transfer Learning -- Analysis Effect of K Values Used in K-Fold Cross Validation for Enhancing Performance of Machine Learning Model with Decision Tree -- The Forward-Forward Algorithm: Analysis and Discussion -- Texture Feature Extraction Using Local Optimal Oriented Pattern (LOOP) -- Feature Fusion and Early Prediction of Mental health using Hybrid Squeeze-MobileNet -- Exploring the Usability of Quantum Machine Learning for EEG Signal Classification -- Adaptive Coronavirus Mask Protection Algorithm Enabled Deep Learning for Brain Tumor Detection and Classification -- Enhancing Hex Strategy: AI Based Two-Distance Pruning Approach with Pattern-Enhanced Alpha-Beta Search -- IRBM: Incremental Restricted Boltzmann Machines for Concept Drift Detection and Adaption in Evolving Data Streams -- Revisiting Class Imbalance: A Generalized Notion for Oversampling -- Unveiling Efficiency: Loan Application Process Optimization Using PM4Py Tool. |
| Record Nr. | UNINA-9910845487403321 |
Garg Deepak
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Computing [[electronic resource] ] : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part II / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel
| Advanced Computing [[electronic resource] ] : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part II / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel |
| Autore | Garg Deepak |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (445 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
RodriguesJoel J. P. C
GuptaSuneet Kumar ChengXiaochun SaraoPushpender PatelGovind Singh |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Application software Education - Data processing Image processing - Digital techniques Computer vision Artificial Intelligence Computer Engineering and Networks Computer and Information Systems Applications Computers and Education Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-56703-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Agricultural Resilience and Disaster Management for Sustainable Harvest -- Plant Disease Recognition using Machine Learning and Deep Learning Classifiers -- Securing Lives and Assets: IoT-Based Earthquake and Fire Detection for Real-Time Monitoring and Safety -- An Early Detection of Fall Using Knowledge Distillation Ensemble Prediction Using Classification -- Deep Learning Methods for Precise Sugarcane Disease Detection and Sustainable Crop Management -- An Interactive Interface for Plant Disease Prediction and Remedy Recommendation -- Tilapia Fish Freshness Detection using CNN Models -- Chilli Leaf Disease Detection using Deep Learning -- Damage Evaluation Following Natural Disasters Using Deep Learning -- Total Electron Content Forecasting in Low Latitude Regions of India: Machine & Deep Learning Synergy -- Disease and Abnormalities Detection using ML and IOT -- Early Phase Detection of Diabetes Mellitus Using Machine Learning -- Diabetes Risk Prediction through Fine-Tuned Gradient Boosting -- Early Detection of Diabetes using ML-based Classification Algorithms -- Prediction Of Abnormality Using IoT and Machine Learning -- Detection of Cardiovascular Diseases using Machine Learning Approach -- Mild Cognitive Impairment Diagnosis Using Neuropsychological Tests and Agile Machine Learning -- Heart Disease Diagnosis using Machine Learning Classifiers -- Comparative Evaluation of Feature Extraction Techniques in Chest X Ray Image with Different Classification Model -- Application of Deep Learning in Healthcare -- Transfer Learning Approach for Differentiating Parkinson’s Syndromes using Voice Recordings -- Detection of Brain Tumor Type Based on FANET Segmentation and Hybrid Squeeze Excitation Network with KNN -- Mental Health Analysis using Rasa and Bert: Mindful -- Kidney Failure Identification using Augment Intelligence and IOT Based on Integrated Healthcare System -- Efficient Characterization of Cough Sounds Using Statistical Analysis -- An Efficient Method for Heart Failure Diagnosis -- Novel Machine Learning Algorithms for Predicting COVID-19 Clinical Outcomes with Gender Analysis -- A Genetic Algorithm-Enhanced Deep Neural Network for Efficient and Optimized Brain Tumor Detection -- Diabetes Prediction using Ensemble Learning -- Cancer Detection Using AI -- A Predictive Deep Learning Ensemble Based Approach for Advanced Cancer Classification -- Predictive Deep Learning: An Analysis of Inception V3, VGG16, and VGG19 Models for Breast Cancer Detection -- Innovation in the Field of Oncology: Early Lung Cancer Detection and Classification using AI -- Colon Cancer Nuclei Classification with Convolutional Neural Networks -- Genetic Algorithm-based Optimization of UNet for Breast Cancer Classification: A Lightweight and Efficient approach for IoT Devices -- Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms -- Prediction of Breast Cancer using Machine Learning Technique. |
| Record Nr. | UNINA-9910845499703321 |
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Garg Deepak
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Data Science and Communication : Proceedings of ICTDsC 2023
| Data Science and Communication : Proceedings of ICTDsC 2023 |
| Autore | Tavares João Manuel R. S |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2024 |
| Descrizione fisica | 1 online resource (813 pages) |
| Disciplina | 006.312 |
| Altri autori (Persone) |
RodriguesJoel J. P. C
MisraDebajyoti BhattacherjeeDebasmriti |
| Collana | Studies in Autonomic, Data-Driven and Industrial Computing Series |
| ISBN | 981-9954-35-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Editors -- Part I Information Retrieval -- 1 Compensation Effect in the Collisional Turbulent Plasma -- 1 Introduction -- 2 Electromagnetic Waves Propagation in a Homogeneous Absorptive Plasma Layer -- 2.1 Second-Order Statistical Moments of the Phase Fluctuations -- 3 Statistical Moments of the Phase Fluctuations -- 4 Numerical Calculations -- 5 Summary/Conclusion -- References -- 2 Portable Device-Based Stress Level Estimation Using Biological Rhythms -- 1 Introduction and Motivation -- 2 Proposed Health Awareness System -- 2.1 Questionnaire Method in Detecting Stress Level -- 2.2 Measurement Method in Detecting Stress Level -- 2.3 Calculation of Measurement Score -- 2.4 Calculation of Total Stress Score -- 3 Working Model -- 4 Results and Discussions -- 5 Conclusion and Future Scopes -- References -- 3 Maritime Surveillance Using Instance Segmentation Techniques -- 1 Introduction -- 2 Related Work -- 2.1 Instance Segmentation -- 2.2 Object Detection Techniques -- 2.3 Maritime Surveillance Applications -- 2.4 Ship Datasets -- 3 Methodology -- 3.1 Data Preparation -- 3.2 Instance Segmentation Methods -- 4 Experimental Settings and Results -- 5 Conclusions and Future Work -- References -- 4 Arduino Uno Driven Toxic Gas Monitoring and Alert System Within Sewage -- 1 Introduction -- 2 Related Works -- 3 Project Overview -- 4 Hardware Setup -- 5 Operation and Result Analysis -- 6 Conclusion and Future Scope -- References -- 5 A Comparative Study on Speech Emotion Recognition Using Machine Learning -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Motivation and Scope -- 2 Literature Review -- 3 Methods and Methodology -- 3.1 Block Diagram -- 3.2 Dataset Description -- 3.3 Performance Metrics to Be Used -- 3.4 Features -- 3.5 Data Preprocessing -- 3.6 Models -- 4 Results and Discussion -- 5 Conclusion.
References -- 6 Classification of Alzheimer Disease Using Feature Segmentation and 3D CNN -- 1 Introduction -- 2 Related Work -- 3 The Proposed Methodology -- 3.1 Preprocessing -- 3.2 3D Convolutional Neural Network -- 3.3 The Proposed Architecture -- 4 Experiments and Results -- 4.1 Dataset Preparation -- 4.2 Experiment and Setup -- 4.3 Results -- 4.4 Comparative Analysis with Other methods -- 5 Discussion and Conclusions -- References -- 7 Role of Pre-processing in Gene Selection Using DNA Microarray Gene Expression Data -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Pre-processing -- 3.2 Gene Selection -- 4 Result and Discussion -- 4.1 Experimental Setup and Parameters -- 4.2 Data Description -- 4.3 Performance Analysis -- 5 Conclusion -- References -- 8 Application for Simulating OWASP Vulnerabilities -- 1 Introduction -- 1.1 Problem Statement -- 1.2 Contributions of the Paper -- 2 Related Work -- 3 Proposed Simulation Application -- 3.1 Broken Access Control -- 3.2 Injection -- 3.3 Insecure Design -- 3.4 Security Misconfiguration -- 3.5 Identification and Authentication Failure -- 3.6 Failure of Data Integrity -- 3.7 Cryptographic Failure -- 3.8 Absence of Throttling on Authentication Mechanisms -- 4 Implementation Details -- 5 Conclusion and Future Work -- References -- 9 Automated Classification of Happy and Sad Emotional States from PPG Signal Using Time Domain Analysis -- 1 Introduction -- 2 Background Literature -- 3 Methodology -- 3.1 PPG Dataset -- 3.2 PPG Signal Denoising -- 3.3 Signal Normalization -- 3.4 Feature Extraction -- 3.5 Classification -- 4 Result and Validation -- 5 Discussion -- 6 Conclusion -- References -- 10 Vehicle Detection in Aerial Images: A Survey -- 1 Introduction -- 2 Vehicle Detection in Aerial Imagery Frameworks -- 2.1 Vehicle Detection Algorithm Based on Hand-Crafted Feature Design. 2.2 Data-Driven Characterization Learning -- 3 Benchmark Datasets for Vehicle Detection in Aerial Images -- 4 Conclusion -- References -- 11 A Comparative Study of Disease Detection in Potato Plants Using Machine Learning and Deep Learning Methods -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 System Architecture -- 3.2 Algorithm -- 3.3 Dataset -- 3.4 Data Preprocessing -- 3.5 Model Architecture -- 3.6 Model Building -- 3.7 Validation -- 3.8 Comparative Study -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- 12 Design and Development of IoT-Based Smart Health Monitoring System for Greenhouse Cultivation -- 1 Introduction -- 2 Literature Review -- 3 The Proposed Design -- 3.1 Block Diagram -- 3.2 Circuit Diagram and Components Used -- 3.3 Flowchart -- 3.4 Working Procedure -- 4 Result and Discussion -- 4.1 Implementation of Smart Health Monitoring System -- 4.2 Observation -- 5 Conclusion and Future Scope -- References -- 13 Early Prediction of Urban Flood Using ML and IoT -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Methods and Materials -- 4.1 For IoT System -- 4.2 For Blockage Detection Machine Learning System -- 5 Experimental Setup -- 5.1 Circuit Diagram -- 5.2 System Flowchart -- 5.3 Machine Learning Models -- 6 Results and Discussions -- 6.1 Results for IoT -- 6.2 Results for the Rainfall Prediction Model -- 6.3 Result for the Blockage Detection Model -- 7 Conclusion -- References -- 14 Authentication Framework for an IoT Ecosystem -- 1 Introduction -- 2 Preliminaries -- 2.1 Shamir Algorithm -- 3 Related Work -- 4 The Proposse Authentication Scheme -- 4.1 Threat Model and Assumptions -- 4.2 Proposed Authentication Scheme -- 5 Security Analysis -- 5.1 Formal Security Analysis -- 5.2 Informal Security Analysis -- 6 Comparison Analysis -- 7 Performance Analysis -- 8 Conclusion. References -- 15 IoT-Based Equinox Cooling Chamber Using Bolt IoT Module and Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Proposed Structure -- 3.1 Basic Terminologies -- 3.2 Technology Used -- 3.3 System Requirements -- 3.4 Methodology -- 3.5 Circuit Design and Connection -- 4 Implementation Process -- 5 Result -- 6 Future Scope -- 7 Conclusion -- References -- Part II Pattern Recognition -- 16 Waterbody Extraction from Aerial Image Using Clustering Based on SCDAE Approach -- 1 Introduction -- 2 Literature Survey -- 3 Clustering Method -- 3.1 SCRAB Filter -- 3.2 CLAHE Filter -- 3.3 Stacked Convolutional Denoising Auto-Encoder (SCDAE) -- 3.4 Fuzzy K-means Clustering Algorithm -- 4 Results and Discussion -- 4.1 Performance Analysis -- 4.2 Comparative Analysis -- 5 Conclusion -- References -- 17 Fractal Features for Texture Analysıs -- 1 Introduction -- 2 Methodology -- 2.1 Differential Box Counting (DBC) -- 2.2 Improved DBC (IDBC) -- 3 Proposed Method -- 4 Experimental Analysis and Discussion -- 4.1 Test on Simulated Images -- 4.2 Test on Real Texture Images -- 4.3 Test on Mammogram Images -- 5 Conclusion -- References -- 18 A Survey on the Application of Chaos-Based Encryption Techniques on Medical Images -- 1 Introduction -- 2 Encryption Techniques -- 2.1 Chaos Theory and Chaos-Based Cryptography -- 2.2 Fractal-Based Encryption Techniques -- 2.3 DNA-Based Encryption Techniques -- 2.4 Other Encryption Techniques Based on COVID-19 Images -- 3 Results Comparison -- 3.1 Correlation Coefficients -- 3.2 NPCR -- 3.3 UACI -- 3.4 Entropy -- 4 Conclusion -- References -- 19 A Framework for Biometric Authentication based on Decision Level Fusion -- 1 Introduction -- 1.1 Motivation -- 2 Proposed Methodology -- 2.1 Proposed Methodology for Unimodal Biometric System -- 2.2 Proposed Feature Extraction Algorithm. 3 Decision-level Fusion Framework -- 3.1 The OR and AND Logical Operators -- 3.2 Decision-level Fusion -- 4 Experimental Set-Up and Results -- 4.1 Multimodal Database -- 5 Experimental Results -- 6 Comparison of Our Approach with Literature Work -- 7 Conclusion -- References -- 20 Performance Based Comparative Analysis of Naïve Bayes Variants for Text Classification -- 1 Introduction -- 2 Background and Literature Survey -- 2.1 Text Classification -- 2.2 Literature Survey -- 3 Methodology -- 3.1 Pre-processing -- 3.2 Feature Extraction -- 3.3 Feature Weighting/Normalizing -- 3.4 Classification Algorithm -- 3.5 Performance Evaluation -- 4 Experiment and Result Analysis -- 4.1 Dataset -- 4.2 Experiment -- 5 Conclusions and Future Scope -- References -- 21 A Comprehensive Analysis of Watershed Image Segmentation Based on Various Edge Detection Approaches -- 1 Introduction -- 2 Marker-Controlled Watershed Segmentation -- 3 The Gradients -- 4 Image Segmentation Using Watershed Transform -- 5 Watersheds Transformation Algorithm -- 6 Experimental Results and Discussions -- 7 Conclusion -- References -- Part III Computational Intelligence -- 22 Upper Bounds of Worldwide Infected Cases Due to COVID-19 from the Perspective of Bitopology -- 1 Introduction -- 2 Methodology -- 3 Main Results -- 3.1 Some Special Cases -- 4 Case Study of COVID-19 -- 5 Discussion -- 6 Conclusion -- References -- 23 Design of Ultra Low Power Operational Amplifier for Biomedical Circuits -- 1 Introduction -- 2 MOSFET in Subthreshold Region -- 3 The Proposed Opamp Design -- 4 Simulation Results -- 5 Conclusion -- References -- 24 Symbiosis of Predator-Prey: Harvest of Predators Concomitant to Negative Repercussions of Immatureds' Predation -- 1 The Mathematical Model and Its Biological Background -- 2 Boundedness -- 3 Equilibrium Points and Its Stabilities -- 4 Bifurcations. 4.1 Hopf Bifurcation. |
| Record Nr. | UNINA-9910799229903321 |
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Tavares João Manuel R. S
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| Singapore : , : Springer Singapore Pte. Limited, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Interpretable Cognitive Internet of Things for Healthcare [[electronic resource] /] / edited by Utku Kose, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues
| Interpretable Cognitive Internet of Things for Healthcare [[electronic resource] /] / edited by Utku Kose, Deepak Gupta, Ashish Khanna, Joel J. P. C. Rodrigues |
| Autore | Kose Utku |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (203 pages) |
| Disciplina | 610.28546 |
| Altri autori (Persone) |
GuptaDeepak
KhannaAshish RodriguesJoel J. P. C |
| Collana | Internet of Things, Technology, Communications and Computing |
| Soggetto topico |
Telecommunication
Biomedical engineering Medical informatics Communications Engineering, Networks Biomedical Engineering and Bioengineering Health Informatics |
| ISBN | 3-031-08637-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Essentials of Cognitive IoT for Healthcare -- Interpretability Problem in IoT for Healthcare -- Transparent and Black-Box IoT Systems for Healthcare -- Evaluation of Cognitive Capabilities of IoT in Healthcare -- Massive Health Data Analytics for Cognitive IoT -- Usability Evaluation of Cognitive IoT for Healthcare -- Hybrid Methods for Interpretable IoT for Healthcare -- Interpretable Cognitive IoT for Pandemics -- Interpretable Cognitive IoT for Cancer -- Interpretable Cognitive IoT for Sustainable Massive Health -- Interpretable Cognitive IoT for Health Robotics -- Interpretable Cognitive IoT for Personal Healthcare -- Wearables in the Context of IoT for Massive Healthcare -- Security for Massive Health Data Used by Cognitive IoT -- Future Insights for Interpretable Cognitive IoT in Healthcare -- Conclusion. |
| Record Nr. | UNINA-9910734871703321 |
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Kose Utku
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019) [[electronic resource] /] / edited by Pradeep Kumar Singh, Wiesław Pawłowski, Sudeep Tanwar, Neeraj Kumar, Joel J. P. C. Rodrigues, Mohammad Salameh Obaidat
| Proceedings of First International Conference on Computing, Communications, and Cyber-Security (IC4S 2019) [[electronic resource] /] / edited by Pradeep Kumar Singh, Wiesław Pawłowski, Sudeep Tanwar, Neeraj Kumar, Joel J. P. C. Rodrigues, Mohammad Salameh Obaidat |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (886 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Machine learning Electrical engineering Data protection Computational Intelligence Machine Learning Communications Engineering, Networks Security |
| ISBN | 981-15-3369-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part 1: Communication & Network Technologies -- Chapter 1. State Of The Art: A Review on Vehicular Communications, Impact of 5g, Fractal Antennas for Future Communication -- Chapter 2. Energy Enhancement of TORA and DYMO by Optimization of Hello Messaging using BFO for MANET's -- Chapter 3. Horseshoe Shaped Multiband Antenna for Wireless Application -- Chapter 4. A Review Paper on Performance Analysis of IEEE 802.11e -- Chapter 5. Voice Control IOT Devices Framework for Smart Home -- Chapter 6. Comprehensive Analysis of Social based Opportunistic Routing Protocol: A Study -- Chapter 7. An Efficient Delay based Load Balancing using AOMDV in MANET -- Chapter 8. Metaheuristic-based Intelligent Solutions Searching Algorithms of Ant Colony Optimization and Backpropagation in Neural Networks -- Chapter 9. Evaluating Cohesion Score with Email Clustering.-Chapter 10. Congestion Control for Named Data Networking Based Wireless Ad-hoc Network.-Chapter 11. A Comparative review of various techniques for Image Splicing Detection and Localization..-Chapter 12. Analysis and Synthesis of Performance Parameter of Rectangular Patch Antenna -- Part 2: Advanced Computing Technologies & Latest Electrical & Electronics Trends -- Chapter 13. Fog Computing Research Opportunities & Challenges: A Comprehensive Survey -- Chapter 14. IIGPTS: IoT-based framework for Intelligent Green Public Transportation System -- Chapter 15. Integrating the AAL CasAware platform within an IoT ecosystem, leveraging the INTER-IoT approach. . |
| Record Nr. | UNINA-9910482986403321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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