Arabic online handwriting recognition (aohr) a survey

BM Al-Helali, SA Mahmoud - ACM Computing Surveys (CSUR), 2017 - dl.acm.org
This article comprehensively surveys Arabic Online Handwriting Recognition (AOHR). We
address the challenges posed by online handwriting recognition, including ligatures, dots …

Facial expression recognition with swin transformer

JH Kim, N Kim, CS Won - arXiv preprint arXiv:2203.13472, 2022 - arxiv.org
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 …

elBERto: Self-supervised commonsense learning for question answering

X Zhan, Y Li, X Dong, X Liang, Z Hu, L Carin - Knowledge-Based Systems, 2022 - Elsevier
Commonsense question answering requires reasoning about everyday situations and
causes and effects implicit in context. Typically, existing approaches first retrieve external …

The Dawn of KAN in Image-to-Image (I2I) Translation: Integrating Kolmogorov-Arnold Networks with GANs for Unpaired I2I Translation

A Mahara, ND Rishe, L Deng - arXiv preprint arXiv:2408.08216, 2024 - arxiv.org
Image-to-Image translation in Generative Artificial Intelligence (Generative AI) has been a
central focus of research, with applications spanning healthcare, remote sensing, physics …

Online-khatt: an open-vocabulary database for Arabic online-text processing

SA Mahmoud, H Luqman, BM Al-Helali… - … Open Cybernetics & …, 2018 - benthamopen.com
Background: An Arabic online text database called Online-KHATT is presented, which
addresses the lack of a free benchmarking database of natural Arabic online text. This …

Accurate and efficient fine-tuning of quantized large language models through optimal balance

A Shen, Q Wang, Z Lai, X Li, D Li - arXiv preprint arXiv:2407.17029, 2024 - arxiv.org
Large Language Models (LLMs) have demonstrated impressive performance across various
domains. However, the enormous number of model parameters makes fine-tuning …

Towards efficient inference: Adaptively cooperate in heterogeneous iot edge cluster

X Yang, Q Qi, J Wang, S Guo… - 2021 IEEE 41st …, 2021 - ieeexplore.ieee.org
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 …

Predicting swarm equatorial plasma bubbles via machine learning and Shapley values

SA Reddy, C Forsyth, A Aruliah, A Smith… - Journal of …, 2023 - Wiley Online Library
In this study we present AI Prediction of Equatorial Plasma Bubbles (APE), a machine
learning model that can accurately predict the Ionospheric Bubble Index (IBI) on the Swarm …

Multi Modal Facial Expression Recognition with Transformer-Based Fusion Networks and Dynamic Sampling

JH Kim, N Kim, CS Won - arXiv preprint arXiv:2303.08419, 2023 - arxiv.org
Facial expression recognition is an essential task for various applications, including emotion
detection, mental health analysis, and human-machine interactions. In this paper, we …

Pico: Pipeline inference framework for versatile cnns on diverse mobile devices

X Yang, Z Xu, Q Qi, J Wang, H Sun… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Distributing the inference of convolutional neural network (CNN) to multiple mobile devices
has been studied in recent years to achieve real-time inference without losing accuracy …