Information, Communication and Computing Technology
Springer International Publishing (Verlag)
978-3-031-72482-4 (ISBN)
This book constitutes the refereed proceedings of the 9th International Conference on Information, Communication and Computing Technology, ICICCT 2024, held in New Delhi, India, on May 11, 2024.
The 13 full papers presented here were carefully reviewed and selected from 176 submissions. These papers have been categorized into the following topical sections: Intelligent systems and Pattern recognition.
.- Intelligent Systems.
.- Investigating Freshmen Students' Coding Standards Challenges Using NLP Techniques.
.- ParkinSense: A Tri-Sensory AI-Powered Framework for Early Detection of Parkinson's Disease.
.- Analysing The Role Of Post Click Factors In Generating Leads Through Search Advertising.
.- mCLIP: Multimodal Approach to Classify Memes.
.- Enhancing Marine Litter Management in the Gulf of Aqaba Through AI.
.- Solving the Rush Hour Puzzle Problem by Different Heuristics.
.- Advancing Precision Agriculture: Machine Learning-Based Crop Recommendation for Optimal Yield.
.- Pattern Recognition.
.- Low-Cost Biodegradable composite-shaped Split Ring Resonator (SRR) Based Sensor for Breast Cancer As-sessment.
.- XR-Menu: Food Ordering System in Extended Reality Application.
.- Predicting Crime Hot Spots using Machine Learning Algorithms: Cities in USA and South Africa.
.- Experience with the Implementation of Machine Learning on ESP32-based Edge Devices.
.- Stock Open Price Prediction of Software Companies in the BSE SENSEX 50 Index.
.- Implementation of Morphological Fractional Order Darwinian Operator for Brain Tumour Localization.
| Erscheinungsdatum | 17.10.2024 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XII, 183 p. 88 illus., 70 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Weitere Themen ► Hardware |
| Schlagworte | AI • Artificial Intelligence • Bert • convolutional neural network • Deep learning • Large Language Models • Natural Language Processing • neural network • pattern recognition • random forest • Sentence Prediction • Swiss German • Transformer |
| ISBN-10 | 3-031-72482-8 / 3031724828 |
| ISBN-13 | 978-3-031-72482-4 / 9783031724824 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
