AUC results (%) compared among methods, the LACK algorithm cannot work on the GRAZ02 dataset and is replaced with “—”. The best results are highlighted in bold. حسب Hui Yang (91136)

Accuracy results (%) compared among methods, the LACK algorithm cannot work on the GRAZ02 dataset and is replaced with “—”. The best results are highlighted in bold. حسب Hui Yang (91136)

F1 results (%) compared among methods, the LACK algorithm cannot work on the GRAZ02 dataset and is replaced with “—”. The best results are highlighted in bold. حسب Hui Yang (91136)

Neighborhood operators (actions) in Q-learning. حسب Zhongfeng Li (3965060)

"…This study presents a Q-learning-enhanced NSGA-II (QLNSGA-II) algorithm that integrates the adaptive policy optimization of Q-learning with the elitist selection of NSGA-II to dynamically adjust crossover and mutation rates based on real-time performance metrics. …"

Comparison of Different Port Path Optimization Methods: Traditional Methods, Deep Learning Methods, and Multimodal Fusion Methods, Highlighting Their Advantages, Disadvantages, and... حسب Jiangjiang He (9676377)

الموضوعات:

Schematic diagram of the Faster R-CNN algorithm based on MobileNet v2. حسب Shiya Gao (12693389)

الموضوعات:

Results of oil detection accuracy under different oil status conditions for each algorithm. حسب Shiya Gao (12693389)

الموضوعات:

Computed AUROC and pixel accuracy for all four distinct datasets using all seven proposed algorithms. حسب Yubraj Gupta (7465394)

الموضوعات:

IoU and HD of UNets family when the optimizer is set as Adam. lr: learning rate. The best-performing results are highlighted using bold font. حسب Bang-Chuan Chen (21526585)

Q-Learning state definition based on objective medians. حسب Zhongfeng Li (3965060)

num_overseg and num_miss of three BTS models. The best-performing results are highlighted using bold font. lr: learning rate. حسب Bang-Chuan Chen (21526585)

Global hourly seamless AOD through measurement-adjusted machine learning fusion of multi-satellite and reanalysis data حسب Yu Ding (54012)

"…To overcome these limitations, this study proposes an AOD fusion framework that integrates measurement adjustment theory with a machine learning algorithm to combine multiple satellite AOD products with the MERRA−2 reanalysis dataset. …"

Results of oil status recognition accuracy in the test set across iteration cycles under different algorithms. حسب Shiya Gao (12693389)

الموضوعات:

Results of Oil Condition Recognition Accuracy in the Training Set Under Different Algorithms Across Iteration Cycles. حسب Shiya Gao (12693389)

الموضوعات:

Accuracy Comparison of CDL with Other Deep Learning Models. حسب Afnan M. Alhassan (18349378)

الموضوعات:

Qualitative comparison of segmentation results across different deep learning models for Lucchi++ slices. حسب Yubraj Gupta (7465394)

الموضوعات:

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... حسب Hassan Mehboob (8960273)

Performance comparison of mainstream algorithms. حسب Junjie Lu (160350)

"…<div><p>The rapid development of Internet of Things (IoT) technology and deep learning has propelled the deployment of vision-based fire detection algorithms on edge devices, significantly exacerbating the trade-off between accuracy and inference speed under hardware resource constraints. …"

Grad-CAM visualization of the learned features. حسب Guoguang Hua (22305400)

The effect of different learning rate on ELFT. حسب Guoguang Hua (22305400)