In this research, we attempt to create a state-of-the-art model for the classification of the PTBXL dataset and improve upon already established metrics. Firstly, we use the previous best model, ST-CNN-GAP-5 and introduce ...

Artificial neural networks (ANNs) are pivotal in deep learning, with activation functions introducing crucial non-linearity. An ideal activation function should generalize well across datasets, expedite convergence, and ...

The oral microbiome is a complex ecosystem of bacteria, viruses, fungi, and other microorganisms that reside in the mouth. There has been growing interest in studying the oral microbiome in recent years, as it has been ...

Similarity metric learning is a sub-field of machine learning domain that focuses on developing techniques to measure the similarity between data points in a meaningful way. This project aims to design and develop a new ...

In the past decade, Natural Language Processing has undergone a transformative journey, marked by profound changes. The realm of conversational discourse, in particular, has witnessed remarkable advancements, with contemporary ...

In the world of computer networks, if we think of the internet , there is always a tradeoff between speed and how much data can be sent through the network which often leads to the use of large storage areas called buffers. ...

The latest advancements in the field of 5G telecommunications have proposed the requirements of high speeds (~1 Gbps per user) and low latency (< 1 ms) for a new world of possible applications such as AR/VR, autonomous ...

In an era where machine learning (ML) is changing the landscape of financial markets, education, security and privacy, the retail sector, and many other crucial aspects of human life, it is only fitting that we should use ...

Global organizations have long identified and declared women’s health, wellbeing, and empowerment as critical development goals with a push on leveraging information communication technology (ICT) to accomplish the same ...