Datasets and their properties. حسب Olaide N. Oyelade (14047002)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

الموضوعات:

Parameter values at each level. حسب Honghua Liu (15307022)

Optimize the variable name and level range table. حسب Ning Yu (358970)

A computational schema of the model components and their training algorithms, the flows of information between the components, and the learning signals. حسب Giovanni Granato (7045847)

AFO-ideal point method algorithm flowchart. حسب Yuhua Zhu (413349)

"…The Aptenodytes Forsteri Optimization (AFO) algorithm is combined with the Ideal Point Method to solve the model, and the algorithm is compared with the Particle Swarm Optimization (PSO), Differential Evolutionary (DE), Tabu Search (TS), Sparrow Search (SS) algorithms, and the exact solver Linear Interactive and General Optimizer (LINGO). …"

Optimized unbalanced train operation chart. حسب Zhipeng Huang (1759759)

"…Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. A bi-level programming model is formulated: the upper level optimizes train operations and fare structures, while the lower level employs user equilibrium (UE) theory to distribute OD passenger demands across trains. …"

Changes in anesthesia level lead to transitions from high frequency asynchronous to low frequency synchronous spiking patterns. حسب Bolaji P. Eniwaye (12915339)

Optical Assessment of Tear Glucose by Smart Biosensor Based on Nanoparticle Embedded Contact Lens حسب Hee-Jae Jeon (4614121)

"…Diabetes is a disease condition characterized by a prolonged, high blood glucose level, which may lead to devastating outcomes unless properly managed. …"

Optical Assessment of Tear Glucose by Smart Biosensor Based on Nanoparticle Embedded Contact Lens حسب Hee-Jae Jeon (4614121)

"…Diabetes is a disease condition characterized by a prolonged, high blood glucose level, which may lead to devastating outcomes unless properly managed. …"

DEVELOPMENT OF A HYBRID FUZZY GENETIC ALGORITHM MODEL FOR SOLVING TRANSPORTATION SCHEDULING PROBLEM حسب H.C.W. Lau (10413179)

"…Although the passenger railway scheduling problem has received attention in operations research in recent years, there is limited literature investigating the adoption of practical approaches that capitalize on the merits of mathematical modeling and search algorithms for effective cost optimization. This paper develops a hybrid fuzzy logic based genetic algorithm model to solve the multi-objective passenger railway scheduling problem aiming to optimize total operational costs at a satisfactory level of customer service. …"

Data_Sheet_1_A Global Optimizer for Nanoclusters.PDF حسب Maya Khatun (7437011)

"…This method is implemented in PyAR (https://github.com/anooplab/pyar) program. The global optimization in PyAR involves two parts, generation of several trial geometries and gradient-based local optimization of the trial geometries. …"

Intertopic distance map for risk level 3. حسب Hyeonbin Ji (20485140)

Word scores by topic for risk level 2. حسب Hyeonbin Ji (20485140)

Intertopic distance map for risk level 2. حسب Hyeonbin Ji (20485140)

Word scores by topic for risk level 1. حسب Hyeonbin Ji (20485140)

Word scores by topic for risk level 3. حسب Hyeonbin Ji (20485140)

Overview. حسب Andrew Fisher (1673086)

Relevant Parameters. حسب Dongyan Wang (195482)

"…Traditionally, intercity railways lack failure probability data for spare parts, which hampers the support for spare parts ordering decisions, resulting in spare parts management primarily relying on manual experience. This approach often leads to problems like excessive inventory levels and high management costs. …"

Failure Samples and Fitting Results. حسب Dongyan Wang (195482)

"…Traditionally, intercity railways lack failure probability data for spare parts, which hampers the support for spare parts ordering decisions, resulting in spare parts management primarily relying on manual experience. This approach often leads to problems like excessive inventory levels and high management costs. …"