AIPSO algorithm flowchart. حسب Xiaohui Liu (6412)

Trainable parameters for different algorithms. حسب Anwar Hossain Efat (19942283)

Optimized model prediction performance. حسب Guang Tu (22054865)

Schematic of the suggested ROSA network for 16-element linear array consisting of power division, phase control, amplitude control of primary and secondary array. حسب Maryam Shadi (14237349)

Fig 5 - حسب Maryam Shadi (14237349)

Fig 11 - حسب Maryam Shadi (14237349)

Fig 3 - حسب Maryam Shadi (14237349)

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

DataSheet1_Development of an Intelligent Power Management System for Solar PV-Wind-Battery-Fuel-Cell Integrated System.docx حسب Vincent Anayochukwu Ani (10322801)

"…<p>The objective of this work is to develop a power management system that will control the power flow of an integrated renewable energy system with the focus on solar energy and wind energy and dual energy storage systems (batteries are used as the primary energy storage system for short to moderate storage term, whereas hydrogen fuel cell is used as a backup and long-term energy storage). …"

Machine Learning-Driven Kinetic Elucidation for Sustainable Solvent-Free Continuous ε‑Caprolactone Production via Propionaldehyde-Mediated Nanocarbon Catalysis حسب Qing Hu (152962)

"…Machine learning analysis revealed significant influences of catalyst type, catalyst concentration, and the ratio of aldehyde-to-ketone on reaction efficiency. A kinetic model was established by focusing on two primary reactions: Cy = O oxidation (Reaction I) and PRA auto-oxidation (Reaction II), from which the reliable kinetic parameters were obtained via genetic algorithm-based optimization. …"

Machine Learning-Driven Kinetic Elucidation for Sustainable Solvent-Free Continuous ε‑Caprolactone Production via Propionaldehyde-Mediated Nanocarbon Catalysis حسب Qing Hu (152962)

"…Machine learning analysis revealed significant influences of catalyst type, catalyst concentration, and the ratio of aldehyde-to-ketone on reaction efficiency. A kinetic model was established by focusing on two primary reactions: Cy = O oxidation (Reaction I) and PRA auto-oxidation (Reaction II), from which the reliable kinetic parameters were obtained via genetic algorithm-based optimization. …"

Table_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.pdf حسب Michael Moor (10887888)

Data_Sheet_1_Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review.PDF حسب Michael Moor (10887888)

Data_Sheet_1_Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal patholo... حسب Zhenliang Fan (16483491)

Presentation_1_Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal patho... حسب Zhenliang Fan (16483491)

Presentation_2_Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal patho... حسب Zhenliang Fan (16483491)

Table_1_Artificial intelligence can accurately distinguish IgA nephropathy from diabetic nephropathy under Masson staining and becomes an important assistant for renal pathologists... حسب Zhenliang Fan (16483491)

Table 1_Identification of routine blood derived hematological and lipid indices in ILD through machine learning; a retrospective case-control study.docx حسب Lichen Zhu (22399222)

"…Future studies will focus on further optimizing the model and validating it in larger multicenter cohorts.…"

Image 1_Identification of routine blood derived hematological and lipid indices in ILD through machine learning; a retrospective case-control study.tif حسب Lichen Zhu (22399222)

"…Future studies will focus on further optimizing the model and validating it in larger multicenter cohorts.…"

Table_1_Reinforcement learning for watershed and aquifer management: a nationwide view in the country of Mexico with emphasis in Baja California Sur.XLSX حسب Roberto Ortega (18525597)

"…Its application depends on the specific problem. The primary challenge in this modeling approach lies in model definition, specifically in devising agents and actions that apply to complex scenarios. …"