Proceedings of International Conference on Recent Innovations in Computing : ICRIC 2024, Volume 3 / / edited by Zoltán Illés, Chaman Verma, Paulo J. Sequeira Gonçalves, Yashwant Singh
| Proceedings of International Conference on Recent Innovations in Computing : ICRIC 2024, Volume 3 / / edited by Zoltán Illés, Chaman Verma, Paulo J. Sequeira Gonçalves, Yashwant Singh |
| Autore | Illés Zoltán |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (811 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
VermaChaman
GonçalvesPaulo J. Sequeira SinghYashwant |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data protection Computer networks - Security measures Computational Intelligence Artificial Intelligence Data and Information Security Mobile and Network Security |
| ISBN | 981-9660-34-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimizing Supply Chain Efficiency using Machine Learning for Demand Forecasting -- A Parallel Examination in Solving Problems of Optimization using Moth Flame and Swarm Intelligence Algorithms -- Large Language Models (LLM) for Disease Prediction, Diagnosis, and Healthcare Transformation -- Solving Rate of Mathematical Olympiad Word Problems by Artificial Intelligences -- On Importance of Video Lessons in E-learning and Blended Learning. |
| Record Nr. | UNINA-9911021975403321 |
Illés Zoltán
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Recent Innovations in Computing : ICRIC 2023, Volume 2 / / edited by Zoltán Illés, Chaman Verma, Paulo J. Sequeira Gonçalves, Pradeep Kumar Singh
| Proceedings of International Conference on Recent Innovations in Computing : ICRIC 2023, Volume 2 / / edited by Zoltán Illés, Chaman Verma, Paulo J. Sequeira Gonçalves, Pradeep Kumar Singh |
| Autore | Illés Zoltán |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (923 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
VermaChaman
GonçalvesPaulo J. Sequeira SinghPradeep Kumar |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Computational intelligence
Artificial intelligence Data protection Computer networks - Security measures Cloud computing Computational Intelligence Artificial Intelligence Data and Information Security Mobile and Network Security Cloud Computing |
| ISBN |
9789819734429
9819734428 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I - Artificial Intelligence & Digital India -- Federated Learning for Enhanced Deep Learning Integration: A Practical Approach -- A Systematic Review of RDHEI with Consistent Experimental Evaluation -- Predictive Modelling of Rice Yield Using Environmental Factors and Machine Learning -- Artificial Intelligence and Cognitive Information Systems: Revolutionizing Business with Generative Artificial Intelligence and Robotic Process Automation -- Anomaly Detection for Power Consumption: A Comprehensive Multi-Technique Approach -- Exploring Computational Thinking through the Lens of Algebraic Thinking -- Securing The Internet of Things: AI-powered Threat Detection and Safety Measures -- An Avenue Study of Convolutional Neural Network for Image Stratification -- Performance Exploration on Some Neoteric Metaheuristic Based Approaches for Problem Solving in Optimization -- Transforming Business Approaches with an Integrated Machine Learning and Algorithmic System, Guided by Visual Data Dashboards -- Mental Illness Identification through EEG Feature Segregation and Machine learning -- A Comprehensive Exploration of Convolutional Neural Network Architectures in Deep Learning -- Human Generated vs AI Generated Text: A Comparative Study -- Improving Disaster Response With U-Net And Attention Mechanism In Earthquake Damage Assessment Using Remote Sensing Data -- AI-driven HR practices: Recent trends in digital HR tools and their perceived benefits -- Detecting Brain Tumor using Deep Learning through CNN model -- The Societal Implications Of False Positives Using Machine Learning -- Unraveling Autoimmunity: Exploring Etiological Factors and Machine Learning Applications in Varied Autoimmune Disease -- Advancing Marine Plastic Detection with CLAHE-Enhanced YOLOv8: A Comparative Study with YOLOv7 and YOLOv6 -- Comparative Study on Different Approaches Used in Word Sense Disambiguation-NLP -- Explainable AI in Healthcare: Methods, Concepts and Challenges -- Bidirectional Short-Term Memory with Osprey Optimization Algorithm for Automatic Recommendation System -- Cardiovascular Predictive Analysis with Machine Learning Fusion -- Ayurvedic Plant Leaf Detection Using Hog Feature Descriptor and Svm Classifier -- A Hybrid Deep Learning Approach for Android Malware Detection -- Part II - Cyber Security and Cyber Physical Systems -- Crypto currency Price Prediction model using deep learning for Financial Institutions -- Practical implementation of model classic mceleice cryptosystem -- Fake Profile Detection on Social Networks - A Survey -- Proof Of Computational Power: An Innovative Consensus Algorithm for Blockchain Systems -- Part III - E-Learning, Cloud and Big Data -- Feature Selection using Particle Swarm -- Optimization for Microarray Data Classification -- Revolutionary Dehazing Advances: A Comparative Study -- Implementation challenges of industry-specific ERP System solutions by utilizing Best Practices -- Empowering Real-Time Insights through LLM, LangChain, and SAP HANA Integration -- Fine-tuning CodeLlama to Fix Bugs -- Graphics Shader program development in C# using Source Generators -- Smart Viewing: Redefining Value in Over The Top Streaming Experiences -- Enhancing Performance and Scalability of a Flutter-Based Food Ordering Application through Microservices on AWS -- System problems to develop systems thinking in computer science education -- Deconstructing Big Data for Carbon Emission and Carbon Footprint Detection -- A Review: YOLO and its advancements -- Decoding Ethics: Proficiency of LLMs in Addressing Moral Dilemmas -- Evolution of Financial Question Answering: Themes, Challenges, and Advances -- Adoption of Industry 4.0 in the Automotive Industry Contributes to Reduction in Energy Consumption During the Production Process -- Copernicus Satellite Data: Terrain Modelling with Python -- Application of the method of representation of decision rules in a hierarchical structure for forecasting and data analysis -- Using machine learning to find dependencies in data to improve working conditions -- Applying data analytics to effectively expand banking service offerings -- Part IV - Image Processing & Computer Vision -- Detection and classification of plant diseases using a textural feature analysis and classification system -- Optimal Sensor Data Resampling for Anomaly Detection in Industrial Control Systems -- ReviewRanker: A Semi-Supervised Learning Based Approach for Code Review Quality Estimation -- Optimizing System Performance in Punjabi Language Processing: Revealing Linguistic Nuances and Advancing Computational Solutions -- BrMEPS:Review on 3D Body Reconstruction and Measurement Estimation for Personalized Clothing -- A Review on Exploration of EEG-Based Mental Illness Detection Tools and Techniques -- A Novel Handwritten Prescription Recognition with Stochastic Gradient Descent using Adaptive Momentum Learning -- Enhancing Automatic Speech Recognition in Air Traffic Communication through Semantic Analysis and Error Correction -- Part V - IoT and Networking -- Energy Efficient Water Purification Plant Design Techniques -- IOT-Based 5G Healthcare Systems With Blockchain For Improving the Security of Healthcare Monitoring System -- Intrusion Detection System in the Industrial Internet of Things (IIoT) using Deep Learning -- Authentication and Data Access Challenges in Safeguarding Industrial IoT -- Exploring Application Deployment on Edge Solutions: A Focus on Mobile Edge Computing, Akraino Eliot, Edgex, and Openvino for Healthcare Applications -- Eyes in the Sky: Safeguarding Borders Security with AI-Powered Aerial Monitoring and IoT Integration -- Crop-Health Monitoring for Precision Agriculture Using IoT-Based Sensors in Drones -- Revolutionizing Scene Text Recognition: Unleashing the Power of Dual Step Attention Mechanism in the Encoder -- Anomaly Detection in IoT Networks using Differential Evolution and XGBoost -- Miniaturized UWB (C2F4)n-Based Antenna Array for Future CubeSat Swarms. |
| Record Nr. | UNINA-9910897987903321 |
Illés Zoltán
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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Proceedings of International Conference on Recent Innovations in Computing : ICRIC 2023, Volume 3
| Proceedings of International Conference on Recent Innovations in Computing : ICRIC 2023, Volume 3 |
| Autore | Singh Yashwant |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (572 pages) |
| Altri autori (Persone) |
GonçalvesPaulo J. Sequeira
SinghPradeep Kumar KolekarMaheshkumar H |
| Collana | Lecture Notes in Electrical Engineering Series |
| ISBN |
9789819778621
981977862X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910913793203321 |
Singh Yashwant
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| Singapore : , : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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