The ability to efficiently recycle the electronic waste found in trash can increase the usefulness of e-waste management systems. Separating e-waste from other wastes in the rubbish is crucial for recycling. Our objective ...

In recent years, the security of Automated Teller Machines (ATMs) has been a critical concern due to increasing fraud and unauthorized access incidents. This research paper presents a novel multi-layered security framework ...

The study investigated the changes in chemical and fatty acid composition in selected edible oils due to continuous heating. Peroxide value of all the oil except rice bran oil went beyond the permissible limit of 10 mEqO2/kg ...

The research titled “Feature Engineering for Students Academic Performance and Reignition Using Machine Learning and Deep Learning” highlights the transformative potential of modern computational methods in strengthening ...

Research on the recognition of regional accents in spoken language helps preserve regional dialects and increases the accessibility of technology to speakers of such languages. We provide our work on spoken data ...

Skin diseases are more common than other disease in Bangladesh. Skin diseases may be caused by fungal infection, bacteria, hot weather, allergy, or viruses, etc. The thesis paper on skin disease detection focuses on the ...

The declaration emphasizes the increasing prevalence of physical illnesses, especially cardiovascular disease, and the demand for efficient methods to forecast the illness and increase early detection. The utilization ...

The Food Sharing Platform is an innovative online tool created to promote a thriving culinary community where people can effortlessly share their beloved specialties. Food lovers and amateur cooks are continuously looking ...

Deepfake detection technology primarily combines artificial intelligence and machine learning, including deep learning techniques such as Multi-layer Perceptrons (MLP), Convolutional Neural Networks (CNN), and EfficientNet ...

Recognizing fraudulent activity in the banking system is essential due to the significant risks involved. When fraudulent transactions are vastly outnumbered by non-fraudulent ones, dealing with imbalanced datasets can be ...