The details of flow chart. حسب Zhen Zhao (159931)

"…The results indicate that schemes 1, 2, and 4 all have significant low-speed vortices in the return water zone (D zone). …"

The physical short-period clogging test device. حسب Zhen Zhao (159931)

"…The results indicate that schemes 1, 2, and 4 all have significant low-speed vortices in the return water zone (D zone). …"

Results of longitudinal analysis of mental health in HCWs. حسب A. H. Ayesha Lavell (16734002)

Mean scores and 95% CI of mental health symptoms, COVID-19 admissions and effect size during follow-up. حسب A. H. Ayesha Lavell (16734002)

Metric correlation matrix. حسب Chao Song (379006)

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

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

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

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

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

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

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

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

Sensor value scenario for fuzzy logic algorithm. حسب Gourab Saha (8987405)

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

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

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

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

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

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

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

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

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

Run times of two algorithms. حسب Gourab Saha (8987405)

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

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

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

Block diagram for IoT-based irrigation system. حسب Gourab Saha (8987405)

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

Flow chart of Average Value-based control system. حسب Gourab Saha (8987405)

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

Hardware design for IoT-based irrigation system. حسب Gourab Saha (8987405)

"…Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …"

IFN-responsive and anti-viral pathways are induced in γδ T cells post-HIV-1 acquisition. حسب Gina L. Griffith (20649097)