Abstract: This paper presents evaluation of the classification of higher education institutions by multiclass logistic regression and entropy. We examined the relationship between data item selection ...
This project focuses on analyzing public sentiment toward Apple and Google products by leveraging Natural Language Processing (NLP) techniques. The primary objective is to develop a robust model ...
ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...
Your browser does not support the audio element. This guide demonstrates how to use the TensorFlow Core low-level APIs to perform binary classification with logistic ...
Using clinical images in DL systems may improve skin cancer detection by providing a more inclusive representation of real-world lesions. DenseNet models outperformed others in binary classification, ...
ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...
Abstract: The exploration of emotion classification through the analysis of EEG signals presents a multifaceted research area that merges neuroscience, psychology, and machine learning. In this ...
Predict appliance energy consumption (Wh) from indoor sensor readings and outdoor weather data. Estimate the number of occupants in a room (0–3 people) from multi-modal IoT sensor streams. Implements ...
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