Physicochemical Exploration and Computational Analysis of Bone After Subchronic Exposure to Kalach 360 SL in Female <i>Wistar</i> Rats by Latifa Hamdaoui, Hafedh El Feki, Marwa Ben Amor, Hassane Oudadesse, Riadh Badraoui, Naila Khalil, Faten Brahmi, Saoussen Jilani, Bandar Aloufi, Ibtissem Ben Amara, Tarek Rebai

“…The in silico study concerned the assessment of binding affinity and molecular interactions using computational modeling approach. The rats were allocated into three experimental groups: group 1 (<i>n</i> = 6) served as controls, while groups 2 and 3 received low and high doses (Dose 1: 126 mg/Kg and Dose 2: 315 mg/Kg) of KL dissolved in water, respectively. …”
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Building Text‐to‐Speech Models for Low‐Resourced Languages From Crowdsourced Data by Andrew Katumba, Sulaiman Kagumire, Joyce Nakatumba‐Nabende, John Quinn, Sudi Murindanyi

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Model-informed deep-learning photoacoustic reconstruction for low-element linear array by Souradip Paul, S. Alex Lee, Shensheng Zhao, Yun-Sheng Chen

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Real-Time Object Detection Using Low-Resolution Thermal Camera for Smart Ventilation Systems by Jun-Hee Lee, Eung-Tea Kim

“…We propose FLARE (Fast and Lightweight Architecture for Real-time Estimation), an ultra-lightweight deep learning model for real-time object detection in low-resolution (<inline-formula> <tex-math notation="LaTeX">$32\times 24$ </tex-math></inline-formula>) thermal images. …”
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A Self-Consistent Model for Thermal Oxidation of Silicon at Low Oxide Thickness by Gerald Gerlach, Karl Maser

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Identifiability of phenotypic adaptation from low-cell-count experiments and a stochastic model. by Alexander P Browning, Rebecca M Crossley, Chiara Villa, Philip K Maini, Adrianne L Jenner, Tyler Cassidy, Sara Hamis

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The influence of testing conditions on damage zone of concrete in Uniaxial Compression: Insights from Stereo-DIC and computational modeling by Saeid Mehrpay, Xinyu Hu, Zhongfeng Zhu, Eskinder Desta Shumuye, Roman Wan-Wendner, Miaochang Zhu, Jiehui Wang, Zhenhua Wei, Tamon Ueda

“…Isolating different effects by numerical simulations showed how the interaction of effects (such as friction and seated block) leads to misleading observations. Besides computational modeling acquired data aid in understanding stress–strain relationship variations and conducting reliable tests.…”
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Fourier Single-Pixel Imaging Based on Lateral Inhibition for Low-Contrast Scenes by Kaiyu Zhang, Jie Cao, Fanghua Zhang, Yahui Jiang, Yang Cheng, Dong Wang, Qun Hao

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Development of deep-learning-based autonomous agents for low-speed maneuvering in Unity by Riccardo Berta, Luca Lazzaroni, Alessio Capello, Marianna Cossu, Luca Forneris, Alessandro Pighetti, Francesco Bellotti

“…This study provides a systematic analysis of the resource-consuming training of deep reinforcement-learning (DRL) agents for simulated low-speed automated driving (AD). In Unity, this study established two case studies: garage parking and navigating an obstacle-dense area. …”
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Activation-Guided Low-Rank Parameter Adaptation for Efficient Model Fine-Tuning by Qingchen Wang, Shengyu Shen

“…Fine-tuning large language models is computationally expensive, and while existing parameter-efficient methods like Low-Rank Adaptation (LoRA) reduce computational costs, they are limited by suboptimal initialization strategies. …”
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Task Offloading and Computation in Hybrid uRLLC and eMBB Cognitive Radio Enabled 5G Based Multiuser Edge Computing by Akinbode A. Olawole, Fambirai Takawira, Chabalala S. Chabalala

“…The current MEC models in literature are either deterministic or based on average-based metric hence, not suitable in a practical scenario where task offloading and computation activities are stochastic processes and, the wireless channel is often not interference-free. …”
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Assessing BERT-based models for Arabic and low-resource languages in crime text classification by Njood K. Al-harbi, Manal Alghieth

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Study on the Failure Mechanism of Deep Foundation Pit of High-Rise Building: Comprehensive Test and Microstructure Coupling by Zhiwu Zhou, Lorena Yepes-Bellver, Julián Alcalá, Víctor Yepes

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URFM: A general Ultrasound Representation Foundation Model for advancing ultrasound image diagnosis by Qingbo Kang, Qicheng Lao, Jun Gao, Wuyongga Bao, Zhu He, Chenlin Du, Qiang Lu, Kang Li

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Semi-Automatic 3D Modeling of Rooftop Types from Aerial Photos by Arsa Fa'iz Nursyahrial, Hanif Ilmawan

“…The result was a 3D model of the building along with road and landscape. …”
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Evaluation of Neural Network Transformer Models for Named-Entity Recognition on Low-Resourced Languages by Ridewaan Hanslo

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Study design and protocol of a low to high intensity computer-based cognitive training at home in supplement to standard care in patients with AD by Bernard Croisile, Samar Dimachki, Franck Tarpin-Bernard, Hanna Chainay

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Modeling frontal low-level jets and associated extreme wind power ramps over the North Sea by H. Baki, S. Basu, S. Basu, G. Lavidas

“…This study focuses on modeling frontal low-level jets (FLLJs) and associated extreme ramp-down events, particularly their impact on wind power production at Belgium offshore wind farms. …”
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AVINet: adaptive variational iteration network for low light image enhancement by Tao Chen, Feng-Fei Jin, Jinqi Cui, Xiangyu Man, Dongmei Liu

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Computer Vision-Based Gait Recognition on the Edge: A Survey on Feature Representations, Models, and Architectures by Edwin Salcedo

“…This paper reports the state of the art in gait data acquisition modalities, feature representations, models, and architectures for CVGR systems suitable for edge computing. …”
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