DataSheet1_Genetic Algorithm-Based Optimization of Curved-Tube Nozzle Parameters for Rotating Spinning.docx حسب Wenhui Li (396116)

DataSheet1_Multi-Objective Optimization Design of Ladle Refractory Lining Based on Genetic Algorithm.docx حسب Ying Sun (23237)

Data_Sheet_1_An Optimization Algorithm for Computer-Aided Diagnosis of Breast Cancer Based on Support Vector Machine.ZIP حسب Yifeng Dou (6993380)

Proposed Algorithm. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"

Table1_Multiobjective optimization algorithm for accurate MADYMO reconstruction of vehicle-pedestrian accidents.DOCX حسب Donghua Zou (290402)

Comparisons between ADAM and NADAM optimizers. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"

Flowchart of one iteration of the CE-Symm algorithm. حسب Spencer E. Bliven (6672755)

Data_Sheet_1_A novel framework of MOPSO-GDM in recognition of Alzheimer's EEG-based functional network.PDF حسب Ruofan Wang (7235729)

ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein–DNA Interaction Hotspots حسب Lianci Tao (16913613)

"…Combining the Boruta method with our previously developed Random Grouping strategy, we obtained an optimal set of features. Finally, a stacking classifier is constructed to output prediction results, which integrates three classical predictors, Support Vector Machine (SVM), XGBoost, and Artificial Neural Network (ANN) as the first layer, and Logistic Regression (LR) algorithm as the second one. …"

ESPDHot: An Effective Machine Learning-Based Approach for Predicting Protein–DNA Interaction Hotspots حسب Lianci Tao (16913613)

"…Combining the Boruta method with our previously developed Random Grouping strategy, we obtained an optimal set of features. Finally, a stacking classifier is constructed to output prediction results, which integrates three classical predictors, Support Vector Machine (SVM), XGBoost, and Artificial Neural Network (ANN) as the first layer, and Logistic Regression (LR) algorithm as the second one. …"

Incremental Inverse Design of Desired Soybean Phenotypes حسب Joseph Zavorskas (19761296)

"…After 20 in silico DBTL cycles, a final population of individuals with a mean protein content of 36.13%, an increase of three standard deviations above the original mean is suggested.…"

Image_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF... حسب Huangwei Wei (17011266)

Table_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.XLS... حسب Huangwei Wei (17011266)

Image_2_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF... حسب Huangwei Wei (17011266)

DataSheet1_Multi-and many-objective optimization: present and future in de novo drug design.PDF حسب Jaqueline S. Angelo (17661219)

MS-DAP Platform for Downstream Data Analysis of Label-Free Proteomics Uncovers Optimal Workflows in Benchmark Data Sets and Increased Sensitivity in Analysis of Alzheimer’s Biomark... حسب Frank Koopmans (1710484)

MS-DAP Platform for Downstream Data Analysis of Label-Free Proteomics Uncovers Optimal Workflows in Benchmark Data Sets and Increased Sensitivity in Analysis of Alzheimer’s Biomark... حسب Frank Koopmans (1710484)

Iterative Registration and Clustering (IREC) Algorithm: The input image stack (<i>S</i>) is first aligned and grouped using registration and clustering (REC) based on an initial re... حسب Creighton M. Lisowski (22756444)

Integration of multiple models into RfaH sequence design leads to reduction of sequence bias and variance. حسب Lu Hong (399882)

An Example of a WPT-MEC Network. حسب Hend Bayoumi (22693738)

"…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …"