Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”

Optimizing Pharmacokinetic Property Prediction Based on Integrated Datasets and a Deep Learning Approach by Xiting Wang (9327613)

“…In this study, we considered both dataset and algorithm optimization to address the challenge of predicting OBA-related molecular properties. …”

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

Subjects:

The Pareto-optimal fronts on the random network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

The Pareto-optimal fronts on the regular network with 10 added edges and its corresponding solutions. by Ruochen Zhang (3434996)

Performance on GradEva. by Jamilu Yahaya (18563445)

“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”

The considered test problems. by Jamilu Yahaya (18563445)

“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”

Performance on FunEva. by Jamilu Yahaya (18563445)

“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”

Performance on Iter. by Jamilu Yahaya (18563445)

“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”

Continuation of Table 2. by Jamilu Yahaya (18563445)

“…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”

Algorithm verification. by Dmitrii Smirnov (8822324)

Buffer allocation problem in production flow lines: A new Benders-decomposition-based exact solution approach by Mengyi Zhang (7454231)

“…The algorithm iterates between a simulation module that generates the Benders cuts and an optimization module that involves the solution of an updated MILP model. …”

Each figure displays the bootstrap distribution of the predicted average amount of crimes per quadrant (Panel A) and predicted sum of crimes in the city (Panel B) under the base sc... by Douglas Newball-Ramírez (18143942)

Illustration of the representation. by Ruochen Zhang (3434996)

The topologies of edging solution with <i>k</i> = 10 on Zachary’s Karate Club network. by Ruochen Zhang (3434996)

Algorithm 1: Cap inhibitory densities to number of neurons. by Dimitri Rodarie (10148838)

Experimental observation of gastruloids and shape quantification using LOCO-EFA. by Martijn A. de Jong (17896732)

Growth rate comparison between models and experimental results in mono-culture and co-culture. by Elias Vera-Siguenza (16993830)

Automated Bio-AFM Generation of Large Mechanome Data Set and Their Analysis by Machine Learning to Classify Cancerous Cell Lines by Ophélie Thomas - - Chemin (19451533)

“…All of the FCs were then classified using machine learning tools with a statistical approach based on a fuzzy logic algorithm, trained to discriminate between nonmalignant and cancerous cells (training base, up to 120 cells/cell line). …”