Estimated mean values for light interception. by Torsten Schober (20485754)

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

Deep reinforcement learning process. by Sen Cao (6017846)

“…This study introduces an improved adaptive signal control approach using an enhanced dual-layer deep Q-network (EXP-DDQN), specifically tailored for intelligent connected environments. …”

The distribution of <i>Giardia duodenalis</i> assemblages in domestic and wild populations of nonhuman mammalian species with a larger number of isolates. by Kareem Hatam-Nahavandi (7384790)

The reduced virulence of Δalta1 mutants is not primarily due to a decrease in growth. by Shuhuan Zhang (748003)

A layer structure for solving the model. by Zulqurnain Sabir (12269556)

“…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”

A structure of single hidden layers. by Zulqurnain Sabir (12269556)

“…</p><p>Method</p><p>A Runge-Kutta solver is applied to collect the dataset, which decreases the mean square error by dividing into training as 78%, testing 12% and verification 10%. …”

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

“…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”

Improved detection layer. by Wenshun Sheng (21485393)

“…<div><p>A real-time stable multi-target tracking method based on the enhanced You Only Look Once-v8 (YOLOv8) and the optimized Simple Online and Realtime Tracking with a Deep association metric (DeepSORT) for real-time stable multi-target tracking (S-YOFEO) is proposed to address the issue of target ID transformation and loss caused by the increase of practical background complexity. …”

Incorporating a social responsibility goal in the prompt causes overleverage in utilities (A) and decreases risk of low ESG rating (B) (Study 3). by Philipp Winder (21615570)

Mean, confidence intervals (95%) and observed difference for each factor. by Nelyane N. M. Santana (5217074)

Ablation experiment for the micro-localization algorithm model. by Zhongjian Xie (4633099)

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Distribution of scaling factor γ after 100 rounds of sparsity training with different sparsity rates λ. by Zhongjian Xie (4633099)

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Comparative experiment of different YOLOv5 versions. by Zhongjian Xie (4633099)

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Comparison result of different detection algorithms. by Zhongjian Xie (4633099)

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Model performance with different sparsity rates. by Zhongjian Xie (4633099)

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Multiple Chinese flowering cabbage without leaf occlusion detection and localization. by Zhongjian Xie (4633099)

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Comparison of different lightweight models. by Zhongjian Xie (4633099)

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Comparison of detection results between YOLOv5s and P-YOLOv5s-GRNF. by Zhongjian Xie (4633099)

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