Surround Suppression mechanism. حسب Elnaz Nemati (21402730)

Data_Sheet_1_A comprehensive analysis of genes associated with hypoxia and cuproptosis in pulmonary arterial hypertension using machine learning methods and immune infiltration ana... حسب Zuguang Chen (19743121)

Proposed IDS architecture. حسب Saad Hammood Mohammed (20623506)

Table_1_Application of machine learning algorithms in predicting HIV infection among men who have sex with men: Model development and validation.docx حسب Jiajin He (13386702)

Flowchart scheme of the ML-based model. حسب Noshaba Qasmi (20405009)

"…<b>K)</b> Algorithm selection from all models. <b>L)</b> Random forest selection. …"

Data_Sheet_1_Accuracy of Deep Neural Network in Triaging Common Skin Diseases of Primary Care Attention.docx حسب Mara Giavina-Bianchi (11334102)

The data processing and analysis pipeline. حسب Xin Zhang (35492)

Malware detection workflow in compressed archives حسب Paul A. Gagniuc (1818325)

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

"…The process includes (1) harmonizing Landsat 5, 7, 8, and Sentinel-2 data using the HLS algorithm, and (2) filling temporal gaps with an optimized object-based STARFM fusion algorithm. …"

Fig 1 - حسب Jakub Stoklosa (3315042)

Data Sheet 1_Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy.docx حسب Tobias Schraut (21488108)

Spontaneous ERG-based random forest model discriminates control and disease cases in rodent models of obesity and type 1 diabetes and predicts disease evolution in the type 1 diabe... حسب Ramsés Noguez Imm (6658637)

Data used to drive the Double Layer Carbon Model in the Qinling Mountains. حسب Huiwen Li (17705280)

"…It also incorporates climate change responses, adjust decomposition rates based on climate and environmental changes, and lead to robust estimates under different climatic scenarios. The simulation process of the DLCM involves initializing SOC stocks with spatially detailed baseline data, adding organic matter inputs based on vegetation production, and simulating microbial decomposition while adjusting for climate variables such as temperature and soil moisture. …"

Data Sheet 1_Durable response of primary cardiac lymphoma after autologous stem cell transplantation and sequential CAR-T therapy: a case report and literature review.pdf حسب Ge Wang (56838)

An exemplar procedure for activity flow modeling based on the direct and shortest paths at a network density of 15%. حسب Zhengdong Wang (35299)

Proposed method approach. حسب Muhammad Usman Tariq (11022141)

"…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"

LSTM model performance. حسب Muhammad Usman Tariq (11022141)

"…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"

Descriptive statistics. حسب Muhammad Usman Tariq (11022141)

"…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"

CNN-LSTM Model performance. حسب Muhammad Usman Tariq (11022141)

"…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"

MLP Model performance. حسب Muhammad Usman Tariq (11022141)

"…These models were calibrated and evaluated using a comprehensive dataset that includes confirmed case counts, demographic data, and relevant socioeconomic factors. To enhance the performance of these models, Bayesian optimization techniques were employed. …"