Grinding particle cutting machining model. حسب Longfei Gao (698900)

"…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …"

Three stages of abrasive cutting process. حسب Longfei Gao (698900)

"…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …"

CNN-LSTM action recognition process. حسب Longfei Gao (698900)

"…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …"

Differences in magnitude and velocity of decay of the different compartments of the viral reservoir. حسب Maria C. Puertas (8801768)

"…<p>A. The overall decrease in each fraction of the viral reservoir during the first year after ART initiation is expressed as the ratio of week 48 to baseline values. …"

Graphical output of results from movement counts data modeled as a function of treatment levels, temperature ranges, and time discretized into 3-hour categories. حسب Kevin O. Ochwedo (11032248)

Graphical output of results from movement counts data modeled as a function of treatment levels, week, and time discretized into 3-hour categories. حسب Kevin O. Ochwedo (11032248)

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

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. …"

Antibodies used in this study. حسب Kevin J. Kokesh (19859571)

"…In this study, we performed a proteomic assessment of differentially regulated proteins from CF and non-CF small airway epithelial cells (SAEC) that are sensitive to <i>Mycobacterium avium</i>. …"

Time and flowrate used for proteomics. حسب Kevin J. Kokesh (19859571)

"…In this study, we performed a proteomic assessment of differentially regulated proteins from CF and non-CF small airway epithelial cells (SAEC) that are sensitive to <i>Mycobacterium avium</i>. …"

S1 Graphical abstract - حسب Kevin J. Kokesh (19859571)

"…In this study, we performed a proteomic assessment of differentially regulated proteins from CF and non-CF small airway epithelial cells (SAEC) that are sensitive to <i>Mycobacterium avium</i>. …"