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 can be used to expand access to...

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 that enables to capture and proc...

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 strategy using the public Individual ...

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 are made in clinically relevant...

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 their inability to reflect dyna...

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 rather than just true and fals...

Downy mildew is an important disease in grapevine, which causes large losses of grape commercial production. The aim of this work was to investigate non-invasive sensing technologies and artificial intelligence applications for assessing downy mildew...

The quality of every project is determined by time, cost and scope – the triple constraint. Change in one factor incontrovertibly affects the others and attempting to minimize the cost and duration may prove to be an arduous task. Therefore, a succ...