Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things حسب Ashok Kumar K (21441108)

"…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …"

Variants of history models used for training the general model using data of 40 patients. حسب Tomasz Gutowski (17200042)

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging حسب D. Andrew Brown (6584837)

Comparative analysis of model performance indicators and diagnostic visualizations for full-featured and simplified models across ten algorithms. حسب Aref Andishgar (18155608)

Simulated trajectories from real data, optimal schedule, and nearest optimal schedule. حسب Samuel Christensen (9922554)

History of the total number of births to U.S. residents per year and the adoption growth of the <i>2003 Revised Birth Certificate</i>. حسب Karl W. Schulz (14309461)

Data_Sheet_1_An Evolutionary Algorithm to Personalize Stool-Based Colorectal Cancer Screening.pdf حسب Luuk A. van Duuren (12001607)

Application of ABC SMC to the fitting of the binary flip with cusp model. حسب Elena Camacho-Aguilar (10906327)

The proposed framework model–HMLFSM. حسب Murad Al-Rajab (10661360)

"…Machine Learning (ML) algorithms have emerged as a promising approach for non-invasive colon cancer classification using genetic data or patient demographics and medical history. …"

Comparison of the proposed model, with others in the literature. حسب Murad Al-Rajab (10661360)

Comparison of models performance metrics. حسب Mukhtar Ijaiya (18935122)

"…Merged demographic, clinic, pharmacy, and laboratory data were included as potential predictor variables in multiple models. …"

Bayesian sequential design for sensitivity experiments with hybrid responses حسب Yuxia Liu (1779592)

"…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …"

The number of relevant genes (features) selected by the proposed model on each phase. حسب Murad Al-Rajab (10661360)

Predictive model-building process. حسب Mukhtar Ijaiya (18935122)

"…Merged demographic, clinic, pharmacy, and laboratory data were included as potential predictor variables in multiple models. …"

Comparative performance metrics of ML models. حسب Rajeev Bopche (20208606)

"…By avoiding reliance on real-time clinical data, our model allows for enhanced scalability across various healthcare settings, including resource-limited environments. …"

Schematic architecture of the proposed hybrid SVM-PSO-AI framework for cardiovascular risk prediction: It has four input vectors V1 (Medical Imaging), V2 (Clinical Data), V3 (Genom... حسب Medhat A. Tawfeek (22522087)

Parameter Settings for the Proposed Hybrid Model. The Particle Swarm Optimization (PSO) parameters (swarm size, iterations, inertia weight, cognitive and social coefficient) were e... حسب Medhat A. Tawfeek (22522087)

Description, feature counts, and data partitioning of the MIMIC-III clinical database (v1.4) used in this study. The table categorizes patient data into three main relevant modalit... حسب Medhat A. Tawfeek (22522087)

Consort diagram for the study. حسب Nicola Lazzarini (3528197)

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Performance confidence intervals. حسب Nicola Lazzarini (3528197)

الموضوعات: