Titlebook: International Conference on Intelligent and Smart Computing in Data Analytics; ISCDA 2020 Siddhartha Bhattacharyya,Janmenjoy Nayak,Ajith Ab

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书目名称International Conference on Intelligent and Smart Computing in Data Analytics网络公开度学科排名




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书目名称International Conference on Intelligent and Smart Computing in Data Analytics被引频次学科排名




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书目名称International Conference on Intelligent and Smart Computing in Data Analytics读者反馈学科排名

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,Binary PSO-Based Feature Selection and Neural Network for Parkinson’s Disease Prediction,on. A classification accuracy of 89.74% is achieved using PSO-NN, while this rate is 87.69% in PSO-SGD, 86.67% in PSO-LR, and 81.54% in PSO-SVM. Thus, application of neural networks gave the best accurate prediction of disease.

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Conference proceedings 2021 (ISCDA 2020), held at K L University, Guntur, Andhra Pradesh, India. The primary focus is to address issues and developments in advanced computing, intelligent models and applications, smart technologies and applications. It includes topics such as artificial intelligence and machine learning, patt

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Novel Defense Framework for Cross-layer Attacks in Cognitive Radio Networks,d small backoff window (SBW) attack in MAC layer. Simulation results shows that our proposed solutions perform in reducing these two attacks and significantly reduce the attack probability and increase channel utilization by primary users.

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Facial Expression Detection Model of Seven Expression Types Using Hybrid Feature Selection and Deep540 images. We proposed a hybrid model of feature selection that is used before feeding to the proposed computing model of CNN architecture. We claim through the use of both the models one after the other the emotions is correctly recognized with high accuracy during both training and testing phases, which the conventional method doesn’t have.