This article comprehensively surveys Arabic Online Handwriting Recognition (AOHR). We
address the challenges posed by online handwriting recognition, including ligatures, dots …

In this paper we present a new framework for time-series modeling that combines the best of
traditional statistical models and neural networks. We focus on time-series with long-range …

The task of recognizing human facial expressions plays a vital role in various human-related
systems, including health care and medical fields. With the recent success of deep learning …

The rising popularity of intelligent mobile devices and the computational cost of deep
learning-based models call for efficient and accurate on-device inference schemes. We …

Delaying the analysis launch until the completion of the handwritten word scribing, restricts
on-line recognition systems to meet the highly responsiveness demands expected from such …

Commonsense question answering requires reasoning about everyday situations and
causes and effects implicit in context. Typically, existing approaches first retrieve external …

Image-to-Image translation in Generative Artificial Intelligence (Generative AI) has been a
central focus of research, with applications spanning healthcare, remote sensing, physics …

Continual Learning (CL) is a process in which there is still huge gap between human and
deep learning model efficiency. Recently, many CL algorithms were designed. Most of them …

Large Language Models (LLMs) have demonstrated impressive performance across various
domains. However, the enormous number of model parameters makes fine-tuning …

New applications such as smart homes, autonomous vehicles are leading an increasing
research topic of convolutional neural network (CNN) based inference on IoT edge devices …