Titlebook: Soft Computing and Signal Processing; Proceedings of 6th I Vustikayala Sivakumar Reddy,Jiacun Wang,K.T.V. Red Conference proceedings 2024 T

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Performance Evaluation of ML Algorithms for Diabetes Prediction,alculated using: accuracy, recall, precision, and F1-score. The accuracy calculated varies with each model and the one with a good accuracy is chosen as default for predicting the diabetes. According to the results, support vector machine outperforms other three algorithms with an accuracy rate of 83.

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Personality Prediction System for Twitter Stream Using Machine Learning Models,ity prediction due to the massive expansion of those social media sites over the past ten years. Tweets, for instance, are frequently quite brief and display an odd language usage, consisting of acronyms and unique forms compared to textual sources.

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Automobile Parts Classification Using Deep Learning-Based Ensemble Model,nlabelled components must be located and confirmed. This is often done manually, which introduces the possibility of human error. Automatic recognition of automobile parts is an extremely useful skill, and it may be put to use in a variety of contexts, including the examination of automobile parts f

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Performance Evaluation of ML Algorithms for Diabetes Prediction,it is detected sooner. The objective here is to study all the chosen algorithms and investigate the best one out of all. Here, we examine the modern machine learning classification strategies like decision tree, logistic regression, Naïve Bayes and support vector machine. The Pima Indians Diabetes D

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Cardiac Image Analysis for Accurate Heart Disease Diagnosis Using Deep Learning Techniques: A Compraling with the sickness. Lately, profound learning strategies, e.g., convolution neural networks (CNNs) have shown promising outcomes in different clinical imaging errands, including coronary illness expectation. This review proposes a CNN-based approach for coronary illness expectation utilizing ca

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Crime Rate Prediction Using Machine Learning Techniques,he general populace. Preventing crime is therefore an essential task. In recent times, the significance of artificial intelligence has been observed in almost every field, including crime prediction. To achieve this, it is necessary to maintain a comprehensive data of past crimes, as this informatio

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Admission Prediction for Higher Studies in Foreign Universities,s usually are not knowledgeable of the requirements, and the procedures of the postgraduate admission and might spend a considerable amount of money to get advice from consultancy organizations to help them identify their admission chances. This paper helps on predicting the eligibility of Indian st