Titlebook: Intelligent Systems in Computing and Communication; First International Shreekumar T.,Dinesha L.,Sreeja Rajesh Conference proceedings 2025

Obsolescent

书目名称Intelligent Systems in Computing and Communication影响因子(影响力)




书目名称Intelligent Systems in Computing and Communication影响因子(影响力)学科排名




书目名称Intelligent Systems in Computing and Communication网络公开度




书目名称Intelligent Systems in Computing and Communication网络公开度学科排名




书目名称Intelligent Systems in Computing and Communication被引频次




书目名称Intelligent Systems in Computing and Communication被引频次学科排名




书目名称Intelligent Systems in Computing and Communication年度引用




书目名称Intelligent Systems in Computing and Communication年度引用学科排名




书目名称Intelligent Systems in Computing and Communication读者反馈




书目名称Intelligent Systems in Computing and Communication读者反馈学科排名

chandel

1865-0929 45 proceedings. They were categorized under the topical sections as follows:..Part I:..Artificial Intelligence and Machine Learning..Part II:..IoT&Blockchain Technology, Communication Technology and Data Processing, Image/Video Analysis and Processing.978-3-031-75604-7978-3-031-75605-4Series ISSN 1865-0929 Series E-ISSN 1865-0937

装入胶囊

Segmentation and Classification of Unharvested Arecanut Bunches Using Deep Learninging approach. Experiments were conducted on RGB and saturation channel of HSV color space images, and a comparative study of RGB and saturation channel of HSV color space is presented. Result of the experiments show that the segmentation and classification of the arecanut bunches from input image is efficient using RGB color space.

hegemony

Intelligent Aircraft Antiskid Braking Systems – A ReviewThis is followed by the review of AABS that are based on the three common AI techniques namely ANN, Fuzzy logic, and ML and intelligent PID controllers. A comparison of the AI based AABS is provided in the concluding section.

frozen-shoulder

Artificial Neural Networks Applied in the Detection of Breast Cancered processing time and increased accuracy. A comparative study with current methods demonstrates our method’s effectiveness. To improve diagnostic precision even more, future improvements might include advanced NN architectures.

巫婆

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Organonitrile

钉牢

A Novel Approach for Skin Infections Classification Using Transfer Learningt includes a very large number of samples of mainly 7 types of skin cancers that are classified as dangerous. By using CNN with transfer learning techniques, the class imbalance and complexity in the dataset are reduced, and the model performs better than most of the deep learning techniques in terms of accuracy and computational cost.

stress-response

A Deep Learning Survey on Diseases Prediction and Detection in Health Care of diagnosing diseases, deep learning procedures are better than conventional computation methods. Having the capacity to alter their hyper-parameters as new data becomes available, deep learning makes use of massive neural networks with the connected neurons.