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...
Inheritance Modeling in Distributed Object-Oriented Design: An Extended G-Nets Model
Published in: TEM Journal
Oct 01, 2025
The emergence of an object-oriented paradigm has been beneficial for complex software development, and this paradigm has been used to develop architectures for distributed systems. Many object-oriented architectures have been suggested for developing object-based software, and several attempts have been made to specify object behaviors formally. Nevertheless, investigations into bridging the gap between object implementation and object formal models are limited. This paper presents a formal app...
Supplier selection strategies evaluation: a multi-agent based simulation
Published in: International Journal of Economics and Business Research
Sep 01, 2025
Local food systems have gained prominence in response to increasing consumer demand for locally produced food, driven by heightened interest in diet, food quality, sourcing, production methods, and food safety. These systems support the economic sustainability of small and medium-sized farms and promote consumer awareness through enhanced transparency and direct farmer-customer relationships. However, the effectiveness of these systems depends on robust and efficient supply chain operations, wh...
High-profile leadership: celebrity CEOs and corporate cash reserves
Published in: Journal of Accounting Literature
Aug 01, 2025
Purpose Using a hand-collected dataset, this research contributes to the literature on how CEO personal qualities influence company choices and decision-making. To accomplish this, it investigates the relationship between the CEO’s personal celebrity and cash reserves. Design/methodology/approach Our sample includes all non-financial businesses that were listed on the S&P 500 between 2005 and 2020. Employing principal component analysis, we create the CEO celebrity index as a multidimensio...