Titlebook: Intelligent Computing and Applications; Proceedings of ICICA Subhransu Sekhar Dash,Swagatam Das,Bijaya Ketan Pa Conference proceedings 2021

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Application of Artificial Intelligence-Based Solution Methodology in Generation Scheduling Problem,per, Particle Swarm Optimization Technique with few modifications is implemented as an Artificial Intelligence-based technique for the solution of this convoluted nonlinear optimization problem. The proposed technique is implemented on a standard IEEE ten generator system. The entire work is perform

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Discomfort Analysis at Lower Back and Classification of Subjects Using Accelerometer,rs and sitting on chairs for continuous duration. Back injury occurrence is also very common in athletes and workers where lifting of heavyweights are required. This research work aims to classify subjects and analyze discomfort at lower back by performing wireless data acquisition using acceleromet

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Performance Estimation and Analysis Over the Supervised Learning Approaches for Motor Imagery EEG Seature extraction have been done over the raw EEG data. Then the frequency domain features have been extracted using FFT. Six classifiers DNN, SVM, KNN, Na?ve Bayes,’ Random Forest, and Decision Tree have been considered for this study. The DNN model configured with four layers and used the binary c

BANAL

Fully Automated Digital Mammogram Segmentation,ning of CADx can be degraded due to some factors like the appearance of impulse and speckle noise, artifacts, and low contrast both in CC and MLO views and pectoral muscles appears in mammogram’s MLO view. For this reason, noise elimination, artifacts and pectoral muscles, mammogram image enhancemen

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Empirical Study of Computational Intelligence Approaches for the Early Detection of Autism Spectrumrum Disorder (ASD) using four supervised learning techniques. In this study, we applied four supervised-based classification techniques to the clinical ASD data obtained from 704 patients. Then, we compared the four machine learning (ML) algorithms performance across tenfold cross-validation, ROC cu

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