The convergence curve of each optimization algorithm under the test function. حسب Hao Yang (328526)

Data_Sheet_1_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF حسب Josefa Díaz-Álvarez (5572427)

Data_Sheet_2_Genetic Algorithms for Optimized Diagnosis of Alzheimer’s Disease and Frontotemporal Dementia Using Fluorodeoxyglucose Positron Emission Tomography Imaging.PDF حسب Josefa Díaz-Álvarez (5572427)

Features selected by optimization algorithms. حسب Afnan M. Alhassan (18349378)

"…After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. …"

Generalized Low-Rank Plus Sparse Tensor Estimation by Fast Riemannian Optimization حسب Jian-Feng Cai (498405)

Binary contingency table. حسب Lu Xiao (314030)

Total primary energy demand by fuel in China. حسب Da Lian (18880882)

Overview of the segmentation algorithm. حسب Michael C. Robitaille (11949174)

Zimbabwe model outputs on actual and optimized 2016 spending and impact by intervention. حسب Nicole Fraser-Hurt (2636833)

الموضوعات:

RMSE on the test data when fitting (logistic) quadratic models to binary data across increasing measurement error values . حسب Jakub Stoklosa (3315042)

Data_Sheet_1_How can age-based vaccine allocation strategies be optimized? A multi-objective optimization framework.ZIP حسب Hao Wu (65943)

Flow chart of the Improved Kepler Orbital Algorithm (IKOA). حسب Hao Yang (328526)

Côte d’Ivoire model outputs on actual and optimized 2016 spending and impact by care delivery platform. حسب Nicole Fraser-Hurt (2636833)

الموضوعات:

Short overview of the primary dataset. حسب Muhammad Asim Shahid (15285640)

"…Furthermore, on (HDD Mono) the SMO classifier gives the highest percentage of accuracy and less fault prediction fault in terms of 80/20 (87.72%), 70/30 (89.41%), and 5 folds cross-validation (88.38%), and (HDD-Multi) in terms of 80/20 (93.64%), 70/30 (90.91%), and 5 folds cross-validation (88.20%). Whereas, primary data results found RF classifier gives the highest percentage of accuracy and less fault prediction in terms of 80/20 (97.14%), 70/30 (96.19%), and 5 folds cross-validation (95.85%) in the primary data results, but the algorithm complexity (0.17 seconds) is not good. …"

OneDataShare: Data Transfer Optimization as a Service - Talk حسب Tevfik Kosar (8399697)

OneDataShare: Data Transfer Optimization as a Service - Poster حسب Tevfik Kosar (8399697)

Armenia model outputs on optimized resource allocation and health impact by EUHC care package (2019 vs. higher budget scenario). حسب Nicole Fraser-Hurt (2636833)

الموضوعات:

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

الموضوعات:

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

الموضوعات:

FEP Augmentation as a Means to Solve Data Paucity Problems for Machine Learning in Chemical Biology حسب Pieter B. Burger (4172578)

الموضوعات: