Reinforcement Learning for Assessing Route Instruction Usability in Complex Indoor Spaces حسب Reza Arabsheibani (14244716)

"…We demonstrate a novel computational approach using RL, specifically Proximal Policy Optimization (PPO), to model the acquisition and transfer of wayfinding skills. …"

Differences between outcomes and types of learning during the lockdown and after the pandemic. حسب Juan-Ignacio Pozo (20421678)

"…<p>The figure reflects a general trend of decreased frequency in various learning activities after the pandemic compared to during the lockdown, except for reproductive verbal, constructive procedural, and cooperative activities, where there was a significant increase.…"

Table 1_Abnormal subthalamic nucleus functional connectivity and machine learning classification in Parkinson’s disease: a multisite functional magnetic resonance imaging study.doc... حسب Bin Qin (544949)

"…</p>Conclusion<p>This study suggests that STN-temporal/parietal hypoconnectivity warrants further investigation as a possible core feature of PD. Furthermore, it demonstrates the high translational potential of STN-centric FC patterns as diagnostic biomarkers when integrated with machine learning, paving the way for improved PD classification and future applications in personalized neuromodulation strategies.…"

Data Sheet 1_Pharmacist-led surgical medicines prescription optimization and prediction service improves patient outcomes - a machine learning based study.docx حسب Xianlin Li (2004964)

"…To enhance medication safety and improve patient outcomes by introducing a machine learning (ML)-based warning model integrated into a pharmacist-led Surgical Medicines Prescription Optimization and Prediction (SMPOP) service</p>Method<p>A retrospective cohort design with a prospective implementation phase was used in a tertiary hospital. …"

Bidimensional High-Low Frequency (HF, LF) plane representation of the interaction among Phase and High-Low Authoritativeness Groups_.: In the Low Authority (LA) group the... حسب David Vagni (8060432)

Data Sheet 1_Awareness to weight stigma: the effect of a multi-approach course unit on weight-related stigmatization among medical students.pdf حسب Jessica Ruck (16927836)

Table 1_Autophagy crosstalk with the immune microenvironment in chronic myeloid leukemia and serves as a biomarker for diagnosis and progression.xlsx حسب Fangmin Zhong (17415318)

"…The identification of ARGs by a variety of machine learning algorithms has potential clinical application value.…"

Table 2_Identify predictive factors for the emergence of self-reported oropharyngeal dysphagia in older men and women populations: a retrospective cohort analysis.xlsx حسب Shuang Liu (8449)

Table 3_Identify predictive factors for the emergence of self-reported oropharyngeal dysphagia in older men and women populations: a retrospective cohort analysis.xlsx حسب Shuang Liu (8449)

Table 1_Identify predictive factors for the emergence of self-reported oropharyngeal dysphagia in older men and women populations: a retrospective cohort analysis.xlsx حسب Shuang Liu (8449)

Heatmap of incident post-acute diagnoses, cohort B. حسب Vitaly Lorman (16814000)

Subphenotype embeddings of PASC cohort B clinical histories. حسب Vitaly Lorman (16814000)

Demographic and Clinical Characteristics of Subphenotype Groups in Cohort B. حسب Vitaly Lorman (16814000)

The MTT assay and the LDH assay were used to assess the effects of the hydrogel component of MBC-005 on tumor cell number and cell death. حسب Bryan S. Margulies (21492667)

Confusion matrix of model diagnosis result. حسب Yang Guo (399435)

"…The traditional fault diagnosis method has low accuracy and poor stability for early fault diagnosis. In this paper, a fault diagnosis model of Chiller is designed by combining least squares support vector machine (LSSVM) optimized by hybrid improved northern goshawk optimization algorithm (HINGO) and improved IAdaBoost ensemble learning algorithm. …"

Least squares support vector machine model. حسب Yang Guo (399435)

"…The traditional fault diagnosis method has low accuracy and poor stability for early fault diagnosis. In this paper, a fault diagnosis model of Chiller is designed by combining least squares support vector machine (LSSVM) optimized by hybrid improved northern goshawk optimization algorithm (HINGO) and improved IAdaBoost ensemble learning algorithm. …"

AdaBoost training flowchart. حسب Yang Guo (399435)

"…The traditional fault diagnosis method has low accuracy and poor stability for early fault diagnosis. In this paper, a fault diagnosis model of Chiller is designed by combining least squares support vector machine (LSSVM) optimized by hybrid improved northern goshawk optimization algorithm (HINGO) and improved IAdaBoost ensemble learning algorithm. …"

Schematic diagram of chiller units [25]. حسب Yang Guo (399435)

"…The traditional fault diagnosis method has low accuracy and poor stability for early fault diagnosis. In this paper, a fault diagnosis model of Chiller is designed by combining least squares support vector machine (LSSVM) optimized by hybrid improved northern goshawk optimization algorithm (HINGO) and improved IAdaBoost ensemble learning algorithm. …"

Confusion matrix diagram. حسب Yang Guo (399435)

"…The traditional fault diagnosis method has low accuracy and poor stability for early fault diagnosis. In this paper, a fault diagnosis model of Chiller is designed by combining least squares support vector machine (LSSVM) optimized by hybrid improved northern goshawk optimization algorithm (HINGO) and improved IAdaBoost ensemble learning algorithm. …"

Model comparison analysis results. حسب Yang Guo (399435)

"…The traditional fault diagnosis method has low accuracy and poor stability for early fault diagnosis. In this paper, a fault diagnosis model of Chiller is designed by combining least squares support vector machine (LSSVM) optimized by hybrid improved northern goshawk optimization algorithm (HINGO) and improved IAdaBoost ensemble learning algorithm. …"