1d-MS CNN + GRU model structure. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

Comparison of running times of four models. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

1d-MSCNN + GRU model process. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

CNN-GRU model. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

Comparison of intrusion detection results. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

ICN pooling layer operation. by Jianpeng Zhang (528185)

“…GA is used to optimize the feature selection process to identify the key feature subsets that have the greatest impact on model performance. …”

Additional information on the sequence model. by Jérôme Tubiana (14559981)

Table 1_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx by Yan Wang (15435)

“…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …”

Table 2_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx by Yan Wang (15435)

“…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …”

Table 3_Developing and validating a drug recommendation system based on tumor microenvironment and drug fingerprint.xlsx by Yan Wang (15435)

“…This study aimed to develop a personalized drug recommendation model leveraging genomic profiles to optimize therapeutic outcomes.</p>Methods<p>A content-based filtering algorithm was implemented to predict drug sensitivity. …”

Table 1_Neural network-based method for measuring the impacts of epileptic brain activities on cardiac cycles.docx by Cândida H. L. Alves (21838364)

“…In addition, using variance, skewness, and kurtosis centered on the median allowed us to achieve 100% sensitivity, specificity, and accuracy in our analyses, even using less complex algorithms, due to selecting these optimal characteristics. …”

DataSheet_1_CT-Based Radiomics Analysis for Preoperative Diagnosis of Pancreatic Mucinous Cystic Neoplasm and Atypical Serous Cystadenomas.pdf by Tiansong Xie (10959561)

“…</p>Results<p>Ten screened optimal features were identified and the Rad-score was then built based on them. …”

Data Sheet 1_Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model.docx by Changjiang Liang (21099887)

“…In addition, YOLOv8-FPDW was more competitive than mainstream object detection algorithms. The study predicted the optimal harvest period for litchis, providing scientific support for orchard batch harvesting and fine management.…”

Data_Sheet_1_Development and validation of prediction models for hypertension risks: A cross-sectional study based on 4,287,407 participants.docx by Weidong Ji (129916)

“…Top features selected using the best algorithm and the corresponding variable importance score were visualized.…”

Image 6_Differentiating pancreatic ductal adenocarcinoma and autoimmune pancreatitis using a machine learning model based on ultrasound clinical features.jpeg by Lihua Zhang (22614)

Image 3_Differentiating pancreatic ductal adenocarcinoma and autoimmune pancreatitis using a machine learning model based on ultrasound clinical features.jpeg by Lihua Zhang (22614)

Image 7_Differentiating pancreatic ductal adenocarcinoma and autoimmune pancreatitis using a machine learning model based on ultrasound clinical features.jpeg by Lihua Zhang (22614)

Image 8_Differentiating pancreatic ductal adenocarcinoma and autoimmune pancreatitis using a machine learning model based on ultrasound clinical features.jpeg by Lihua Zhang (22614)

Image 1_Differentiating pancreatic ductal adenocarcinoma and autoimmune pancreatitis using a machine learning model based on ultrasound clinical features.jpeg by Lihua Zhang (22614)

Image 2_Differentiating pancreatic ductal adenocarcinoma and autoimmune pancreatitis using a machine learning model based on ultrasound clinical features.jpeg by Lihua Zhang (22614)