Automatic speech emotion recognition for arabic dialects: a new dataset and machine learning framework
Published in: Cluster Computing
Jan 01, 2026
Automatic Speech Emotion Recognition (ASER) is a critical aspect of affective computing, which detects emotions in speech to facilitate efficient human-computer interaction. An area that has received little attention in previous research is the Algerian Arabic dialect, which is the setting in which this study examines ASER. We introduce a new corpus, Open Your Heart (OYH), which consists of roughly 6.3 hours of emotional spontaneous speech taken from a talk show on television. A wide variety of...
Utilizing augmented reality to bridge the gap between reading and technology usage in children: a user study
Published in: Interactive Learning Environments
Dec 14, 2025
Qing Wang
Haroon Mahmood
Aamir Wali
Mirah Saqib
Ayishm Aziz
There has been a gradual decline in the number of children reading storybooks, as many now favor electronic gadgets for entertainment. This shift is reflected in the performance of school-going children such as their English composition and comprehension. Research indicates that around 80% of Pakistani students struggle with basic reading comprehension skills. As technology advances and changes how we interact with it, there is an opportunity to incorporate reading into children's screen time. ...
Exploring ModernBERT for the Classification of Hateful Social Media Texts
Published in: Conference
Dec 12, 2025
Nowadays, social media has been embedded in all aspects of life all over the world. Between standard users taking advantage of convenient communication and content sharing, and organizations leveraging the exposure for marketing and client outreach, the traffic that social platforms have seen in the last decade has spiked. However, as the number of users, and thus the content shared, continues to grow, the amount of potentially harmful material being posted to the public web has also risen. Pre...
PUF-Enabled Key-Exchange Protocol for Vehicular Ad-Hoc Networks
Published in: IEEE Transactions on Intelligent Transportation Systems
Dec 11, 2025
The Internet of Vehicles (IoV) enables data exchange among individuals, cloud resources, road infrastructures, and vehicles, interconnected through Vehicular Ad Hoc Networks (VANETs). VANETs comprise vehicles with Onboard Units (OBUs), Roadside Units (RSUs), and a Trusted Party Agent (TPA). The data transmission among these entities supports seamless interaction and collaborative traffic management. However, data transmission on public communication channels in VANETs presents significant chall...