Unsupervised Machine Learning for Differential Analysis in Proteomics حسب Guanyang Xu (22379531)

"…Using <i>in silico</i> simulated data sets derived from experimental data, we enabled cross-algorithm comparability through a probability based transformation. …"

Identification and enrichment analysis of the TMGs. حسب Ravinder Sharma (13154079)

Hierarchical regression results. حسب Muna Saleh (10775575)

"…While our linear model did not reveal a statistically significant association between child mental health and family functioning, results from XGBOOST highlight the substantial importance of family functioning in contributing to child depressive symptoms. …"

SHAP values (impact on model output). حسب Muna Saleh (10775575)

"…While our linear model did not reveal a statistically significant association between child mental health and family functioning, results from XGBOOST highlight the substantial importance of family functioning in contributing to child depressive symptoms. …"

Variable importance for the fitted XGBoost model. حسب Muna Saleh (10775575)

"…While our linear model did not reveal a statistically significant association between child mental health and family functioning, results from XGBOOST highlight the substantial importance of family functioning in contributing to child depressive symptoms. …"

IRBMO vs. meta-heuristic algorithms boxplot. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

IRBMO vs. feature selection algorithm boxplot. حسب Chenyi Zhu (9383370)

"…To adapt to the feature selection problem, we convert the continuous optimization algorithm to binary form via transfer function, which further enhances the applicability of the algorithm. …"

The process of constructing a functional network. حسب Wen-Wei Shao (21162477)

Computational time for each algorithm as functions of (1) number of genes, with a fixed number of 1200 cells per time point (left); or (2) number of cells per time point, with a fixed number of 100 genes. حسب Wenjun Zhao (644283)

"…<p>Computational time for each algorithm as functions of (1) number of genes, with a fixed number of 1200 cells per time point (left); or (2) number of cells per time point, with a fixed number of 100 genes.…"

Comparative experimental data of loss functions. حسب Huiying Zhang (200681)

"…<div><p>An MDCFVit-YOLO model based on the YOLOv8 algorithm is proposed to address issues in nighttime infrared object detection such as low visibility, high interference, and low precision in detecting small objects. …"

Objective functions and solving methods for PVRP problems with time windows, multiple depots, and a heterogeneous fleet. حسب Alejandro Arenas-Vasco (19797133)

Mean parameter values for the selected crops. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Performance comparison of ML models. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

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

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Confusion matrix of random forest model. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Evaluation metrics of selected ML models. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Block diagram of the proposed system. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Chart for applicable amount of fertilizers. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Cost analysis of irrigation controller unit. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"

Flow chart of Fuzzy Logic based control system. حسب Gourab Saha (8987405)

"…The experimental results demonstrated that fuzzy logic has faster calibration rate of 66.23% and helps to save around 61% water in comparison to average logic algorithm. The implementation of a fuzzy logic algorithm significantly optimized water usage compared to traditional manual irrigation methods. …"