Articles
Open Access
2023-01-02
Vol. 10 No. 1 (2023): Volume 10 Issue 1
Pages 1-7
The increasing deployment of deep neural networks in real-time and resource-constrained environments necessitates efficient model compression techniques without compromising predictive performance. This paper proposes a data-aware adaptive model compression framework that...
Authors:
Dr. Reza Moradi, Dr. Sara Khatibi (Author)
Model Compression
Neural Network Pruning
Reinforcement Learning
Group Attention
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184
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Articles
Open Access
2023-02-07
Vol. 10 No. 1 (2023): Volume 10 Issue 1
Pages 9-16
The increasing complexity of modern multiplayer and AI-assisted games has amplified the significance of understanding the nuanced factors that drive player engagement. Among these factors, player-induced disruptions—defined as deviations from expected gameplay patterns caused...
Authors:
Dr. Navid Shafiei, Dr. Laleh Farzan (Author)
Player-induced disruptions
Game engagement
Addictive gameplay
Behavioral modeling
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156
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Articles
Open Access
2023-03-10
Vol. 10 No. 1 (2023): Volume 10 Issue 1
Pages 17-23
Graph representation learning (GRL) has emerged as a pivotal methodology in machine learning, enabling the transformation of graph-structured data into low-dimensional vector spaces while preserving relational and topological information. Its convergence with computer vision...
Authors:
Dr. Aditya Prasetya, Dr. Siti Rahmawati (Author)
Graph representation learning
computer vision
graph neural networks
graph embedding
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186
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Articles
Open Access
2023-04-12
Vol. 10 No. 1 (2023): Volume 10 Issue 1
Pages 24-30
This study presents the experimental validation and performance analysis of a dual-airgap permanent magnet Vernier machine (PMVM) with a yokeless rotor, designed for high-speed applications. The proposed machine architecture integrates a dual-airgap configuration with a...
Authors:
Dr. Amir Hossein Rahimi, Dr. Sara Mohammadi (Author)
Permanent Magnet
Vernier Machine
Dual-Airgap Machine
Yokeless Rotor
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171
103
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103
274
Articles
Open Access
2023-05-15
Vol. 10 No. 1 (2023): Volume 10 Issue 1
Pages 31-37
Human action recognition (HAR) has emerged as a critical research domain in computer vision, particularly for applications in surveillance, healthcare, and human-computer interaction. Skeleton-based representations offer a compact, informative abstraction of human motion...
Authors:
Dr. Wei Zhang, Prof. Li Na Mohammadi (Author)
Skeleton-based action recognition
Spatio-temporal framework
View-invariant representation
Human motion modeling
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216
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