Algorithm for optimal decision determination in sequential decision-making. by Mariko I. Ito (5007323)

Image_1_The prognostic role of an optimal machine learning model based on clinical available indicators in HCC patients.TIF by Xiaoying Lou (9700261)

MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”

Algorithm framework in revitalizing HBs. by Kailun Fang (13949729)

Presentation_1_Safety-oriented planning of expressway truck service areas based on driver demand.pdf by Wenlong Ding (492768)

Supporting data for “The role of forest composition heterogeneity on temperate ecosystem carbon dynamic under climate change" by Ziyu Lin (9151064)

Study case/patient distribution algorithm. by Navid Behzadi Koochnai (18554931)

Data_Sheet_1_Early detection of sepsis using machine learning algorithms: a systematic review and network meta-analysis.pdf by Mikhail Ya Yadgarov (18543769)

Table_1_Construction and validation of nomograms combined with novel machine learning algorithms to predict early death of patients with metastatic colorectal cancer.docx by Yalong Zhang (711724)

Image_1_Construction and validation of nomograms combined with novel machine learning algorithms to predict early death of patients with metastatic colorectal cancer.TIF by Yalong Zhang (711724)

DataSheet1_Primary sarcopenia is associated with elevated spontaneous NET formation.pdf by Irina Balazs (18102253)

Analysis of CM1 ROC curve. by Mohd Mustaqeem (19106494)

“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”

SPAM-XAI using the PC1 dataset. by Mohd Mustaqeem (19106494)

“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”

SPAM-XAI using the CM1 dataset. by Mohd Mustaqeem (19106494)

“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”

Analysis PC1 AU-ROC curve. by Mohd Mustaqeem (19106494)

“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”

SPAM-XAI confusion matrix using PC1 dataset. by Mohd Mustaqeem (19106494)

“…Software defects are the primary concern, and software defect prediction (SDP) plays a crucial role in detecting faulty modules early and planning effective testing to reduce maintenance costs. …”

Data_Sheet_1_A Bayesian Model to Analyze the Association of Rheumatoid Arthritis With Risk Factors and Their Interactions.PDF by Leon Lufkin (11276856)

Table_1_Data-based modeling for hypoglycemia prediction: Importance, trends, and implications for clinical practice.docx by Liyin Zhang (6371999)

Table1_Warfarin anticoagulation management during the COVID-19 pandemic: The role of internet clinic and machine learning.DOCX by Meng-Fei Dai (12324617)

“…This study aimed to optimize warfarin treatment during the COVID-19 pandemic by determining the role of the Internet clinic and developing a machine learning (ML) model to predict anticoagulation quality.…”

DEM error verified by airborne data. by Qinghua Li (398885)

“…To overcome these shortcomings, this paper cites an improved SSA search algorithm that incorporates the ingestion strategy of the FA algorithm to increase the diversity of solutions and global search capability, the Firefly Algorithm-based Sparrow Search Optimization Algorithm (FA-SSA algorithm) is introduced. …”