Image_3_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

“…An optimization algorithm for indoor ultra-wideband (UWB) positioning was designed, which was referred as annealing evolution and clustering fusion optimization algorithm. …”

Image_4_UWB indoor positioning optimization algorithm based on genetic annealing and clustering analysis.jpg by Hua Guo (305546)

“…An optimization algorithm for indoor ultra-wideband (UWB) positioning was designed, which was referred as annealing evolution and clustering fusion optimization algorithm. …”

Big Data Model Building Using Dimension Reduction and Sample Selection by Lih-Yuan Deng (17081779)

“…Furthermore, such subdata cannot be useful to build alternative models because it is not an appropriate representative sample of the full data. In this article, we propose a novel algorithm for better model building and prediction via a process of selecting a “good” training sample. …”

Conditional expectation <i>G</i>_<i>v</i>(<i>m</i>) of the surrogate model <i>g</i> given each design variable. by Ava Souaille (17721138)

DataSheet1_Optimizing construction parameters for fractured horizontal wells in shale oil.pdf by Xuewei Liu (136925)

“…The random forest algorithm was used to calculate the importance of data sample factors. …”

FixbbGCN benchmark results. by Jack B. Maguire (5123183)

Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis. by Richard Porwancher (11413931)

Breakdown of the vibration and noise data. by Wenwei Wu (9352541)

“…Furthermore, the study develops a classifier to distinguish noise samples, which utilizes random forest as the classification algorithm with eight optimal frequency features identified by LightGBM. …”

DataSheet1_Urban Catchment-Scale Blue-Green-Gray Infrastructure Classification with Unmanned Aerial Vehicle Images and Machine Learning Algorithms.docx by Jinlin Jia (11954603)

Overview of our approach. by Carlos A. Gomez-Uribe (21492788)

Smart metering and energy access programs: an approach to energy poverty reduction in sub-Saharan Africa by Bennour Bacar (14761288)

“…</li> </ul> <p><strong>HRES analysis and optimization (5)</strong></p> <ul> <li>The figures (PNG, JPG, PDF) include:</li> </ul> <p>           - Household load, based on the energy data from the smart metering experiment and the machine learning exercise</p> <p>           - Pre-defined/synthetic load, provided by the software when no external data (household load) is available, and</p> <p>           - The HRES designed</p> <p>           - Application-generated reports with the results of the analysis, for both best case HRES and fully renewable scenarios.…”

Table_1_An Optimal NARX Neural Network Identification Model for a Magnetorheological Damper With Force-Distortion Behavior.docx by Qianjie Liu (8448996)

“…Different experimental training and validation samples are used for network training. The prediction capability of the optimal NARX model is verified by new measured test data. …”

DataSheet1_Spectral preprocessing combined with feature selection improve model robustness for plastics samples classification by LIBS.docx by Xiangjun Xu (447454)

SimSPPF module structure. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

mAP@0.5 results. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

YOLOv8n network architecture diagram. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

Radar parameters. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

Confusion matrix of the improved model. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

Improved network structure of the YOLOv8n model. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

Plot of improved model output results. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”