Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment by Muhammad Hannan Akhtar, Ibrahim Eksheir, Tamer Shanableh

“…The primary contribution of this study lies in its systematic investigation of model optimization techniques for edge deployment, including Post-Training Quantization, Quantization-Aware Training, and Data Representative Quantization. …”
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A hybrid recommendation system for Chinese character components using a dual-tower neural network and a deterministic algorithm by Shaoqing Yang

“…These learners often struggle with the structural logic of component-based logograms, a critical bottleneck that rote memorization fails to address.Existing mobile learning tools predominantly emphasize rote memorization, failing to establish systematic understanding of character formation principles. …”
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Ray and wave optics in Bonnor-Melvin domain walls: Photon rings by Semra Gurtas Dogan, Omar Mustafa, Abdullah Guvendi

“…The BMM spacetime, characterized by cylindrical symmetry, maintains Lorentz invariance along the axial direction, facilitating a systematic investigation of ray trajectories and wave behavior in the corresponding (2+1)-dimensional magnetic background. …”
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Revealing twin-induced deformation mechanisms of AZ31 Mg alloy sheet during warm deep drawing by Lei Tian, Lifei Wang, Xinwei Fu, Kunkun Deng, Xiao Wang, Liuwei Zheng, Hongxia Wang, Qiang Zhang, Kwang Seon Shin

“…This is because {10–12} tensile twins promote the occurrences of many deformation mechanisms during warm deep drawing, such as slips, detwinning, dynamic recrystallization (DRX) behaviors, etc. Further, based on the different stress states during deep drawing, these mechanisms and their competition relationships, as well as texture evolutions, are systematically studied. …”
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