Scam calls and fraudulent text messages now reach large numbers of mobile phone owners in low- and middle-income economies, yet evidence on who receives them relies mostly on complaint registers, bank records, and singl…

Reliable short-term electricity forecasts have a direct role in smart-city operations, including storage scheduling, peak control, and demand response. In this paper, we examine a direct multi-horizon forecasting strate…

In this paper, we describe a fully operational real-time object detection system using a MobileNet SSD model with the COCO dataset on a Raspberry Pi-3. The system is written in Python as it provides the OpenCV library t…

Medical vision-language models (VLMs) have increasingly been able to answer medical questions from images and perform multimodal reasoning; however, high accuracy on medical images does not necessarily mean predictions …

In the education sector, generative AI is gaining traction across applications such as intelligent tutoring, automated feedback, content generation, assessment support, and student advice. The use of these applications …

Proper mortality prediction in the intensive care units (ICUs) is essential to provide timely clinical care and efficient resource allocation. The traditional systems of scoring like SOFA and APACHE II are limited by …

The rapid dissemination of short claims on social media makes it challenging to detect misinformation, since it involves a classification problem where the model is required to distinguish various levels of truthfulness…

Breast cancer is one of the causes of cancer-related death in all parts of the world, and in this case, early and accurate cancer diagnosis is the key to enhancing patient survival and treatment results. Even though med…