C-level road irregularity sample. حسب Jianwei Liu (163716)

Multi objective optimization design process. حسب Xueyong Pan (20390363)

"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"

Optimal Latin square sampling distribution. حسب Xueyong Pan (20390363)

"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"

PANet network design. حسب Mengqi Yuan (4852555)

"…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. Focusing on the above problems, a new target detection and classification framework of S2DB-mmWave YOLOv8n, based on deep learning, is proposed to realize more accuracy. …"

BiFPN network design. حسب Mengqi Yuan (4852555)

"…However, in the multi-target detection scene, millimeter wave radar still faces some problems, such as unable to effectively distinguish multiple objects and poor performance of detection algorithm. Focusing on the above problems, a new target detection and classification framework of S2DB-mmWave YOLOv8n, based on deep learning, is proposed to realize more accuracy. …"

Design variables and range of values. حسب Xueyong Pan (20390363)

"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"

Feasibility diagram of design points. حسب Xueyong Pan (20390363)

"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"

The sampled values and the fitted values. حسب Hongjun Meng (5031806)

Third setting: batch optimization. حسب Camille Gontier (9442304)

Sample classes from the HMDB51 dataset. حسب Yasir Khan Jadoon (21433231)

Sample points and numerical simulation results. حسب Xueyong Pan (20390363)

"…Subsequently, response surface experiments were conducted to analyze the width parameters of various flow channels in the liquid cooled plate Finally, the Design of Experiment (DOE) was employed to conduct optimal Latin hypercube sampling on the flow channel depth (<i>H</i>), mass flow (<i>Q</i>), and inlet and outlet diameter (<i>d</i>), combined with a genetic algorithm for multi-objective analysis. …"

Sample classes from UCF101 dataset [40]. حسب Yasir Khan Jadoon (21433231)

Sample image for illustration. حسب Indhumathi S. (19173013)

Simulation sample. حسب Xiaogang Li (299205)

Comparative data of different soil samples. حسب Gourab Saha (8987405)

Three sensor sample data with noise data. حسب Tang Ruipeng (20141334)

Parameter design of SCB-CNN network. حسب XiuZhi Qi (18555018)

The flowchart of Algorithm 2. حسب Jing Xu (15337)

"…To solve this optimization model, a multi-level optimization algorithm is designed. …"

SHAP decision plot for samples 39-50. حسب Hui Mao (115181)

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

"…</li> <li>The datasets (CSV, XLSX), sequentially named, are part of the process of extracting, transforming and loading the data into a machine learning algorithm, identifying the best regression model based on metrics, and predicting the data.…"