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Proceedings of Fourth International Conference on Computing and Communication Networks : ICCCN 2024, Volume 5 / / edited by Akshi Kumar, Abhishek Swaroop, Pancham Shukla
| Proceedings of Fourth International Conference on Computing and Communication Networks : ICCCN 2024, Volume 5 / / edited by Akshi Kumar, Abhishek Swaroop, Pancham Shukla |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXXI, 706 p. 267 illus., 228 illus. in color.) |
| Disciplina | 621.382 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Computational intelligence Artificial intelligence Data protection Communications Engineering, Networks Computational Intelligence Artificial Intelligence Data and Information Security |
| ISBN | 981-9632-47-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911007460003321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Third International Conference on Computing, Communication, Security and Intelligent Systems : IC3SIS 2024 / / edited by Shahid Mumtaz, Danda B. Rawat, Varun G. Menon, Akshi Kumar
| Proceedings of the Third International Conference on Computing, Communication, Security and Intelligent Systems : IC3SIS 2024 / / edited by Shahid Mumtaz, Danda B. Rawat, Varun G. Menon, Akshi Kumar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVIII, 478 p. 245 illus., 206 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Telecommunication Computational Intelligence Artificial Intelligence Communications Engineering, Networks |
| ISBN | 981-9602-28-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: A Novel Dual-Optimization Paradigm for Fuzzy Logic Controller Design and Refinement Using the WalrusTunaWhale Optimization Algorithm -- Chapter 2: Unleashing the Power of AI in Vertical Farming from Soil to Sky: Innovations in Urban Vertical Agriculture -- Chapter 3: EfficientNet Evolution: Exploring the Optimal Architecture for Lung Carcinoma Nodule Identification -- Chapter 4: Sleep Powered Stress Prediction Through Voting Classifier -- Chapter 5: Triple-Stage 3D-CNN-Based Violence Detection System with Enhanced Security -- Chapter 6: Paddy Crop Disease Classification through Thermal and Visual Image Analysis -- Chapter 7: Customer Churn Prediction using GraphSAGE model with Degree based Sampling and Max pooling Aggregation -- Chapter 8: Intensified Feature Engineering-Based Composite Model for Predicting Lung Diseases -- Chapter 9: Enhanced Feature Extraction based Optimized DL Model for Detection of Kidney Disease -- Chapter 10: Design and Development of a Controller PCB for a Dual BLDC-based Differential Drive Rover. etc. |
| Record Nr. | UNINA-9910988283203321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of Third International Conference on Computing and Communication Networks : ICCCN 2023, Volume 1 / / edited by Giancarlo Fortino, Akshi Kumar, Abhishek Swaroop, Pancham Shukla
| Proceedings of Third International Conference on Computing and Communication Networks : ICCCN 2023, Volume 1 / / edited by Giancarlo Fortino, Akshi Kumar, Abhishek Swaroop, Pancham Shukla |
| Autore | Fortino Giancarlo |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (786 pages) |
| Disciplina | 621.382 |
| Altri autori (Persone) |
KumarAkshi
SwaroopAbhishek ShuklaPancham |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Telecommunication
Signal processing Computer networks - Security measures Quantitative research Communications Engineering, Networks Signal, Speech and Image Processing Mobile and Network Security Data Analysis and Big Data |
| ISBN |
9789819708925
9789819708918 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multiscale Feature Pyramid Network-enabled Deep Learning and IoT-based Pest Detection System Using Sound Analytics in Large Agricultural Field -- Detection of Wormhole attacks using DCNNBiLSTM model to secure the MANET -- Enhancing Security in Wireless Sensor Networks: A Broadcast/Multicast Authentication Framework with Identity-Based Signature Schemes -- TSFTO: a Two Stage Fuzzy based Tasks Orchestration Algorithm for Edge and Fog Computing Environments -- Tracking Climatic Variations through Smart IoTdrivenApproach:An Exploratory Analysis -- Design and Manufacturing of an Efficient Low-Cost Fire Alarm System Based on GSM Communications and IoT Technology -- A Comparative Analysis of Optimised Routing Protocols for High-Performance Mobile Ad-Hoc Networks -- Integrating Sandpiper Optimization Algorithm and Secure Aware Routing Protocol for Efficient Cluster Head Selection in Wireless Sensor Networks -- The Effects of Weather Conditions on Data Transmission in Free Space for Wireless Sensor Networks -- Using Wireless Sensor Network Performance and Optimizing in underground Mines with Virtual MIMO antenna -- A Novel Logistic Regression based Fire Detection Model using IoT in Underground Coal Mines -- An MQTT IoT Intrusion Detection System using Deep-Learning -- Multi-Objective Optimal Feature Selection for Cyber Security integrated with Deep Learning -- Application of Gradient Boosting Classifier based ComputationalIntelligence to detect Drug Addiction threat in society -- INSURANCE 4.0: SMART INSURANCE TECHNOLOGIES AND CHALLENGES AHEAD -- Review on Vision Transformer for Satellite Image Classification -- Primitive Roots and Euler Totient Function based Progressive Visual Cryptography -- An Approach for Fire Detection Using Image Processing -- A Review of Various Approaches for Authorship Identification in Digital Forensics -- The change weight of threat in network security communication based on analysis of multisource data -- Machine Learning Model for Traffic Prediction and Pattern Extraction in High Speed Optical Networks -- Improved Markov Decision Process in Wireless Sensor Network for Optimal Energy Consumption -- Design and Implementation of a Hybrid Deep learning Framework for Handwritten Text Recognition -- A LSTM based intelligent framework for Financial Stock Prediction -- Mispronunciation Detection Using Feature Learning -- Annotating social data with speaker/user engagement. Illustration on online hate characterization in French -- Heuristic Learning Models based Stochastic Regularization Technique for Reducing the Overfit of Training Data -- Convolution Neural Network Vs Transfer Learning in Image Classification -- Unveiling Consumer Segmentation: Harnessing K means Clustering using Elbow and Silhouette for Precise Targeting -- Multimodal Sentiment Analysis and Multimodal Emotion Analysis: A Review -- A Deep Dive into Brain Computer Interface -- Climatic Variables Assessment in a Smart SensoryEnabled Setting -- Towards Improved Clustering for Textual Data -- Self-Adaptive Learning Algorithm as a Tool for the Development and Strengthening of the dyslexic Student's Skills in the Study of Musical Composition -- Digital-Game-Based Language Learning: An Exploration of Attitudes among Teacher Aspirants in a Non-Metropolitan Area -- A Unified Approach for Identification and Analysis of the Sources of Uncertainty in Machine Learning Techniques -- Sentiment Analysis of Tweets associated with TurkeySyria Earthquakes 2023 -- Ensemble Classification with Lazy Predict on Three Diabetes Datasets: A Comparative Study with Resampling Techniques -- Employee Attrition Prediction using Ensemble Methods -- Measuring Bias in Generated Text using Language Models- GPT-2 and BERT -- A Certain Investigation on Under Sea Water Image Object Detection and Classification Using Artificial Intelligence Algorithms -- DDoS Cyber-Attacks Detection-Based Hybrid CNN-LSTM -- Proposed Multilevel Secret Images Sharing Scheme -- Image Captioning System for Movie Subtitling using Neural Networksand LSTM -- Semantic Application based on the Bhagavad Gita: A Deep Learning Approach -- RMODCNN: A Novel Plant Disease Prediction Framework -- Refined Human-Computer Interaction: Enhancing Efficiency and Collaboration -- The Impact Of Data Valuation On Feature Importance In Classification Models -- Evaluating Machine Learning Algorithms for New Indian Parliament Building Sentiment Analysis -- Track 2: Advances In Artificial Intelligence And Machine Learning Adoption of Artificial Intelligence in Business Operations of Technology Firms -- An Artificial Intelligence Approach to Quantifying Exercise Form for Optimal Performance and Injury Prevention -- Predicting Content Popularity on Social Media: An Analytical Approach using Regression Modeling -- Hybrid Encryption Algorithm: AES and PRESENT lightweight with a chaotic system(PHEPA-AES) -- Improving Network Intrusion Detection with Convolutional Neural Networks and Data Balancing Techniques -- MbAbI: A Benchmark Dataset for Malayalam Text Understanding and Reasoning -- A Novel Approach to Image Restoration and Image Enhancement -- Smart Helmet With Crash Detection -- Digital Payment Systems and Financial Inclusion: Examine How Digital Payment Systems, Such As Mobile Wallets and Digital Currencies, Can Improve Financial Inclusion by Providing Access to Banking Services for the Unbanked and Underbanked Population -- Enhanced Prediction of Breast Cancer using Machine Learning Ensemble Models and Techniques -- Enhancing Adaptive E-Learning with Generative AI: Expanding the Horizon Beyond Recommendation Systems -- A Fusion Framework of Pre-Trained Deep Learning Models for Oral Squamous Cell Carcinoma Classification. |
| Record Nr. | UNINA-9910874658503321 |
Fortino Giancarlo
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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A Roadmap to industry 4.0 : smart production, sharp business and sustainable development / / Anand Nayyar, Akshi Kumar, editors
| A Roadmap to industry 4.0 : smart production, sharp business and sustainable development / / Anand Nayyar, Akshi Kumar, editors |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , [2020] |
| Descrizione fisica | 1 online resource (212 pages) |
| Disciplina | 670 |
| Collana | Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development |
| Soggetto topico |
Robòtica
Automatizació Desenvolupament sostenible Enginyeria de producció Interfícies d'usuari (Informàtica) Robotics Automation User interfaces (Computer systems) Big data Industrial organization Industrial engineering Production engineering Sustainable development Robotics and Automation User Interfaces and Human Computer Interaction Big Data/Analytics Industrial Organization Industrial and Production Engineering Sustainable Development |
| ISBN | 3-030-14544-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Industry: A sustainable, intelligent, innovative, internet-of-things Industry -- Development of Industry 4.0 -- Sustainability development in Industry 4.0 -- Big Data and Analytics in Industry 4.0 -- Ubiquitous Computing for Industry 4.0 -- Cloud Computing in Industry 4.0 -- Modelling and Simulation for Industry 4.0 -- Augmented Reality and Industry 4.0 -- Robotics and Industry 4.0 -- Additive Manufacturing: Concept and Technologies -- Challenges within the Industry 4.0 Setup. |
| Record Nr. | UNINA-9910366654103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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