Abstract: The review paper presents an overview of non-microcontroller-based automatic tap systems. In recent years, automation has become a part of modern life, especially in improving hygiene and reducing wastage of natural resources such as water. One of the most common and effective examples of such autom more...
Authors Details: Mayur R. Bhoyar, Ashish Vasudev Mahalle
Abstract: Robust pattern recognition in noisy and high-dimensional data remains a fundamental challenge for deep learning systems, often leading to degraded performance and instability in conventional architectures. The aim of this research is to create a Hybrid Deep Neural Network (Hybrid_DNN) which will mor more...
Authors Details: Mayur R. Bhoyar, Ashish Vasudev Mahalle
Abstract: An interpretable feature attribution framework is put forth in this paper for explainable neural networks when used in critical decision-support areas. The framework’s aim is to boost the transparency of the model by analyzing the raw feature activations and the attribution-based relevance sco more...
Authors Details: Mayur R. Bhoyar, Ashish Vasudev Mahalle
Abstract: A comprehensive method is adopted in this paper to evaluate the impact of batch size and learning rate on the performance of neural network training in terms of accuracy, loss, and the normality of residuals. The experiments conducted with four different batch sizes of (16, 32, 64, and 128) have sho more...
Authors Details: Mayur R. Bhoyar, Ashish Vasudev Mahalle
Abstract: Low-resource domains suffer from limited labeled data, which significantly degrades the performance of deep learning models trained from scratch. Transfer learning and fine-tuning methods have advanced as significant ways to tackle this problem by using the knowledge from those domains with a large more...
Authors Details: Mayur R. Bhoyar, Ashish Vasudev Mahalle
Abstract: The fast advancement of smart city systems has resulted in a huge quantity of data spread over both time and space, which is marked by intricate spatial relationships and temporal changes. Regular predictive models usually find it difficult to comprehend such interrelated and complex relationships, more...
Abstract: Communication skills play a pivotal role in enhancing employ-ability, bridging the gap between academic knowledge and workplace requirements. This study investigates the impact of communication skills training on students’ employability in Tamil Nadu. Using a mixed-methods approach, data was c more...