With the advent of research, it has been established that many leading diseases among women, such as breast cancer, cervical cancer, and autoimmune diseases, can be prevented if diagnosed at initial stage. This research ...

To address the issue of hate speech, the study proposes a novel method to retrieve counter speeches using templates. The templates are created by analyzing instances of hate speech in the CONAN dataset, which contains ...

Registration of courses through the current ERP system in place at the institution, poses several problems. Selecting courses based on multiple criteria like credit requirements, degree requirements, timing clashes, ...

Energy conservation plays an important role in the economic development of a country. The total share of building ’s energy consumption in the country ’s energy consumption is increasing every year in India. Thus, it is ...

A low-cap power budget is challenging for exascale computing. Dynamic Voltage and Frequency Scaling (DVFS) and Uncore Frequency Scaling (UFS) are the two widely used techniques for limiting HPC application's energy footprint. ...

Widely adapted locally interpretable methods such as LIME [20] and SHAP [12] fail to capture the underlying causal relationships between the variables. They merely capture the linear and non-linear associations. These ...

Deep Neural Networks (DNNs) have achieved remarkable success across various machine learning and computer vision tasks, especially when abundant training samples are available. In Convolutional Neural Network (CNN) research, ...

In an era where the volume of data sets for a particular topic keeps increasing, it is necessary to have quality checks on the data to keep it relevant to modern learning algorithms. Quality parameters provide an objective ...

In buildings, air conditioning consumes a significant proportion of the aggregate electricity bill. Specifically, in residential and small-scale commercial buildings, people prefer to use room-level ACs (AC stands for Air ...