• Neu
Appavoo / Rajan / Kose | Deep Sciences for Computing and Communications | E-Book | www.sack.de
E-Book

E-Book, Englisch, 507 Seiten

Reihe: Springer Nature Proceedings excluding Computer Science

Appavoo / Rajan / Kose Deep Sciences for Computing and Communications

Third International Conference, IconDeepCom 2024, Chennai, India, April 24–25, 2024, Proceedings, Part II
Erscheinungsjahr 2026
ISBN: 978-3-032-26683-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

Third International Conference, IconDeepCom 2024, Chennai, India, April 24–25, 2024, Proceedings, Part II

E-Book, Englisch, 507 Seiten

Reihe: Springer Nature Proceedings excluding Computer Science

ISBN: 978-3-032-26683-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark



This two-volume set CCIS 2687-2688 constitutes the proceedings from the Third International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2024, held in Chennai, India, during April 24-25, 2024.

The 71 full papers, 7 short papers included in these volumes were carefully reviewed and selected from 278 submissions. They focus on the following topical sections:

Part I: Intelligent Visual Recognition and Detection using YOLO; AI in Medical Imaging and Disease Prediction; Leveraging  Machine Learning Across Diverse Domain; Advanced Deep Learning Applications; Real-World Use Cases Powered by CNN Models.

Part II: Smart Data Science and Analytics ; AI-Powered IoT Solutions for a connected world; NLP for Multilingual Support; AI driven Security Solutions; Intelligence in Software Engineering and IT.

Appavoo / Rajan / Kose Deep Sciences for Computing and Communications jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- Smart Data Science and Analytics .
.- Analyzing Chess Player Rankings: Unveiling Insights through Web Scraping and Data Manipulation with Python Pandas.
.- Experimental Analysis of the Impact of Data Augmentation and Embedding Techniques on the Detection of Bias in News Articles.
.- Prediction of Collision Probability: An Alternative Approach of Time-To-Collision (TTC).
.- Automating Points Allocation in Sports: A Badminton Case Study for Feasibility Assessment.
.- Improving Loan Approval Prediction with K-Fold Cross-Validation and Hyperparameter Optimization: A Study on Machine Learning Classifiers.
.- A Bibliometric Analysis of Instrumental and Terminal Values: Trends, Key Themes, and Future Research Directions.
.- AI-Powered IoT Solutions for a connected world.
.- Energy-Efficient Routing System with Better Clustering Methods for Heterogeneous Wireless Sensor Networks.
.- Next-Gen Farming: Unleashing the Power of IoT and Blynk in Irrigation Management.
.- Empowering Healthcare Through IoT Device: Cloud-Based Machine Learning Analysis and Alerting for Continuous Monitoring.
.- RFID-Based Speed Control in Intelligent Transportation Systems for Enhancing Road Safety and Fuel Efficiency.
.- Low-Cost IoT-Based Health Monitoring System Using Arduino for Heart Rate and Temperature Detection.
.- IoT-Enabled Chest X-Ray Analysis for Accurate COVID-19 Detection Using Learning Algorithms.
.- Enhancing Artificial Industrial IoT Services with Federated Learning and Knowledge Graphs.
.- IoT-Driven Digital Twin for Precision Fertigation
.- NLP for Multilingual Support.
.- Answering Beyond Borders: A Comparative Analysis of Various BERT Models in Cross-Lingual QA Using XQuAD.
.- Mental Health and Depression Analysis Using Natural Language Processing and Deep Learning.
.- LSTM POWERED DEFENSE AGAINST MORPHED video manipulation.
.- Multilingual Text Detection and Monolingual Conversion Using Customized LLMs/NLP Architectures.
.- Movie Recommendation System Using Sentiment Analysis from Instagram.
.- NLP Mathematical Descriptor Using Deep Learning: A CNN-Based Approach.
.- Cryptocurrency Price Prediction using LSTM and ARIMA.
.- Detection of Fake News Using Bidirectional Long Short-Term Memory.
.- SPEECH DRIVEN FACIAL REANIMATION.
.- AI driven Security Solutions.
.- MEDGUARD SHIELD: A HYBRID HOMOMORPHIC-BLOWFISH APPROACH FOR SECURING MEDICAL BODY AREA NETWORKS.
.- Blockchain-Based Intelligent Tenant/Contract Management System.
.- DeoxyriboNucleicAcid (DNA) CryptoSystem.
.- Machine Learning-Based Pre-Deployment Security Assessment for Web Applications.
.- SecureSwipe - Safeguarding Digital Transactions Using Machine Learning.
.- ENHANCING VEHICLE INSURANCE FRAUD DETECTION USING MACHINE LEARNING .
.- Fraud Detection in Banking Transactions Using Machine Learning.
.- FairPlay: Search Rank Fraud and Malware Detection Using AI Techniques.
.- Enhancing Credit Card Fraud Detection through Hyperparameter Optimization and Cross-Validation.
.- Women's Security Initiative Incorporating Safest Navigational Directions and Routes, Integrated With Nearest Law Enforcement Facilities.
.- Intelligence in Software Engineering and IT.
.- High-Fidelity Prototype of a Novel Report Designer System.
.- Detection of Stress in IT Employees using Machine Learning.
.- Design of Disturbance Observer with Error Recursive Reduction Computational Technique for Aircraft System Using State Feedback with Integral Control Law.
.- Finger Text: Deep Learning for Fingerspelling Translation.
.- TechHorizion: Navigating IT Careers in Recession Era.
.- Real-Time Crowd Detection for Overcrowding Management Using OpenCV and pyttsx.
.- An Innovative Approach to Forest Fire Detection Based on CCTV Surveillance.
.- AI-Based Ventricular Fibrillation Detection for Automatic External Defibrillator Using Efficient Prediction Model.
.- AI-Powered Evolution: Unveiling the Nexus of Artificial Intelligence and Computer Networks.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.