Boxplot comparing Ct values for HD in flies and clothes. by Philippe Ndzomo (17706039)

Discriminatory learning preferentially enhances reward associated input. by Rahul Garg (3064578)

S1 Data. Bibliometric analysis. S2 Data. Estrogen level analysis. S3 Data. MicroCT quantification. S4 Data. Markers of bone metabolism. by Yan She (8639796)

Retention and extinction of operant learning. by Ella R. Dockendorf (21533334)

Skin marks is the S1 Fig title. by Mercedes Soto-González (20422078)

Comparison Of Performance at Different Optimizers and Learning Rates. by Mudhafar Jalil Jassim Ghrabat (22177655)

Subjects:

Effect of active learning. by Jia Li (160557)

“…Firstly, we combine active learning with self-supervised learning to decrease the reliance on labeled data. …”

Process mining, combined with decision tree analysis using machine learning, can reveal insights into various process inefficiencies, such as rework. by Mohammad Bakhtiari (11838264)

Performance comparison of machine learning models across accuracy, AUC, MCC, and F1 score on GMSC dataset. by Seongil Han (20490232)

Performance comparison of machine learning models across accuracy, AUC, MCC, and F1 score on GMSC dataset. by Seongil Han (20490232)

This decision-making and root cause analysis demonstration employs decision mining with machine learning and Petri Net, for example, in the manuscript, featuring annotated decision... by Mohammad Bakhtiari (11838264)

Oviduct Glycoprotein 1 (OVGP1) Diagnoses Polycystic Ovary Syndrome (PCOS) Based on Machine Learning Algorithms by Fengjuan Wang (768949)

Subjects:

A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

Chemifriction and Superlubricity: Friends or Foes? by Penghua Ying (8555292)

Subjects:

Chemifriction and Superlubricity: Friends or Foes? by Penghua Ying (8555292)

Subjects:

Chemifriction and Superlubricity: Friends or Foes? by Penghua Ying (8555292)

Subjects:

Chemifriction and Superlubricity: Friends or Foes? by Penghua Ying (8555292)

Subjects:

Deep reinforcement learning process. by Sen Cao (6017846)

“…This study introduces an improved adaptive signal control approach using an enhanced dual-layer deep Q-network (EXP-DDQN), specifically tailored for intelligent connected environments. …”

Experimental protocol and behavioral evidence of perceptual learning. by Sarit F.A. Szpiro (21094755)

Deep learning-based locomotive syndrome prediction method. by Junichi Kushioka (12236447)