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Computation of Artificial Intelligence and Machine Learning: First International Conference, ICCAIML 2024, Jaipur, India, January 1819, 2024, Proceedings, Part II 2024 ed. [Pehme köide]

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  • Formaat: Paperback / softback, 367 pages, kõrgus x laius: 235x155 mm, 138 Illustrations, color; 26 Illustrations, black and white; XXI, 367 p. 164 illus., 138 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2185
  • Ilmumisaeg: 23-Oct-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031714830
  • ISBN-13: 9783031714832
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  • Formaat: Paperback / softback, 367 pages, kõrgus x laius: 235x155 mm, 138 Illustrations, color; 26 Illustrations, black and white; XXI, 367 p. 164 illus., 138 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2185
  • Ilmumisaeg: 23-Oct-2024
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031714830
  • ISBN-13: 9783031714832
The two-volume set, CCIS 2184-2185, constitutes the refereed proceedings of the First International Conference on Computation of Artificial Intelligence and Machine Learning, ICCAIML 2024, held in Jaipur, India, in January 1819, 2024. 





The 60 papers included in these volumes were carefully reviewed and selected from 645 submissions. These papers focus on various subject areas within the field of Artificial Intelligence and Machine Learning, such as Neural Networks and Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Data Mining and Big Data Analytics, AI in Healthcare and Biomedical Applications, Autonomous Systems and Robotics, AI Ethics and Fairness, AI in Finance and Eco-nomics.
.- A Machine Learning Approach for Driver Drowsiness Detection in
Automotive Safety Systems.



.- Dynamic COVID-19 endurance indicator system for scientific decisions using
ensemble learning approach with rapid data processing.



.- Facial Recognition Advancements with Siamese Networks: A Comprehensive
Survey.



.- Improving PCOS Diagnosis Accuracy with CNN-based Image Analysis.



.- Adoption of Quantum NLP for Improved Healthcare System.



.- Algorithm Visualization Using Deep Learning.



.- An Efficient Ontology Based Chronic Disease Diagnosis Model.



.- Deep Learning Models for Building and Shadow Detection in Aerial Imagery:
A Comparative Study.



.- A Comparative study and analysis of Transfer Learning Models for Early
Detection of Parkinson's Disease.



.- Development of Rule-based Chunker for Sindhi.



.- Smart Meter Security and Solutions with IoT in India.



.- Optimization of Positioning of Recloser in the High Voltage Category A
Distribution Network of Alibori (Benin).



.- An efficient machine learning based framework for analysis and prediction
of link in social media platform.



.- Deep learning segmentation method for unveiling lower limb deformative on
the knee.



.- Development of HMM based Part of Speech tagger for Hadoti.



.- Sentiment Analysis of Tokopedia Product Reviews Using Naïve Bayes
Algorithm.



.- Combating Toxicity on the Internet: An Efficient HateSwarm Algorithm for
Classifying Hate Speech.



.- Automated Categorization of Stack Overflow Queries: Solution to Highlight
the Similar Kind of Queries.



.- A Modified U-Net for Semantic Segmentation of Liver and Liver Tumors From
CT Scans.



.- Enhancing Histopathological Image Analysis: A Study on Effect of Color
Normalization and Activation Functions.



.- Smart cities in India: A bibliometric analysis.



.- Generative Adversarial Networks for Generation of synthetic images: A
comprehensive review.



.- Abstractive Text Summarization with domain knowledge for biomedical data.



.- Enhanced Residual U-Net with Attention for Optic Disc and Cup Segmentation
in Fundus Images.



.- A Comprehensive Survey of Evaluation Techniques for Recommendation
Systems.



.- eAuthenticate: Enhancing Security with Machine Learning based Real-Time
Open-World Anti-Spoofing Method.



.- Utilization of computer vision techniques of ai for the attendance
management system in online sessions.



.- Machine Learning and the Internet of Things for Industrial Process
Improvement.



.- A Novel Method to Detect the Faults in an Underground Cable Using Robot.



.- Enhancing Time Series Forecasting with Machine Learning and Deep Learning
Models.