Maximization of User’s Fairness in an imbalance-NOMA Network scenario with more far users, by means of multiple near-field Relays. حسب Mlandeli Ligwa (20979503)

"…Initial power-allocation algorithms (Initial FM-PAA) have been proposed to maximize users’ fairness of NOMA networks in this scenario, and have yielded relatively good results. …"

Notations and definitions used in the algorithm. حسب Nazym Alimbekova (22766158)

Frequency trajectory and evidence for non-neutrality at the ASIP locus. حسب Adam G. Fine (21763286)

Strip plots of inferred against true s. حسب Adam G. Fine (21763286)

Examples of cases in which the model failed to classify the parasites correctly, leading to misclassification and a drop in performance. حسب Hamid Cheraghi (22057476)

ROC curves for the overall cases. حسب Puneet Thapar (21464240)

"…This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. …"

ROC curves for the Benign cases. حسب Puneet Thapar (21464240)

"…This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. …"

ROC curves for the Melanoma case. حسب Puneet Thapar (21464240)

"…This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. …"

Model-based sex classification accuracies. حسب Kevin J. Wischnewski (21354521)

"…We refrained from including the 3D cases in the figures as we found no remarkable differences to the 2D cases. …"

<b> </b> GoF values for males and females together with the corresponding effect sizes (ES) of the observed differences. (A-B) Colored boxplots show the distributions of the median... حسب Kevin J. Wischnewski (21354521)

Symptom-wise Minimum and Maximum Membership Fluctuation over Iterations. حسب Sulav Baral (22477755)

Distributions of the goodness-of-fit (GoF) values for all tested approaches and parameter spaces. حسب Kevin J. Wischnewski (21354521)

Distributions of optimized coupling parameters and median FC strengths for males and females. حسب Kevin J. Wischnewski (21354521)

Proposed methodology. حسب Puneet Thapar (21464240)

"…This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. …"

Schematic of the skin cancer detection technique. حسب Puneet Thapar (21464240)

"…This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. …"

Contour array image of Benign. حسب Puneet Thapar (21464240)

"…This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. …"

Stages of Melanoma [16]. حسب Puneet Thapar (21464240)

"…This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. …"

Contour array image of Melanoma. حسب Puneet Thapar (21464240)

"…This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. …"

Assessment of lean principles application. حسب Puneet Thapar (21464240)

"…This paper proposes a hybrid approach using the FrCN-(U-Net) image segmentation technique to enhance results compared to an advanced method for detecting skin cancer types, such as Benign or Melanoma. The classification phase is then handled using the R-CNN algorithm. …"

Data Sheet 1_A machine-learning approach for pancreatic neoplasia classification based on plasma extracellular vesicles.pdf حسب Ioanna Angelioudaki (21177620)

"…Models demonstrated substantial accuracy and AUC-ROC values based on plasma EVs subpopulations, which scored over 0.90 in accuracy of the Random Forest and XGBoost algorithms, presenting 0.96 +/- 0.03 accuracy in the first use case and 0.93 +/- 0.04 in the second.…"