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An optimized SDN framework for the internet of things

يناير 01, 2026

/ Zina houhamdi mohamed Raid Athamena / Belkacem Athamena / Shorouq F. Eletter

Low-power wireless networks (LPWN) have traditionally been central to the Internet of Things (IoT) discussion. Nevertheless, as these networks grow more complex, their control architectures and protocols reveal significant limitations, particularly when dealing with multi–hop topologies and lossy channels. To tackle these challenges, there has been growing interest in adopting Software–Defined Networking (SDN), which has revolutionized data center and campus network management over the past dec...


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Automatic speech emotion recognition for arabic dialects: a new dataset and machine learning framework

يناير 01, 2026

Zineddine Sarhani Kahhoul Nadjiba Terki Habiba Dahmani Belkacem Athamena Zina Houhamdi Madina Hamiane

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...

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