Using Environmental Mixture Exposure-Triggered Biological Knowledge-Driven Machine Learning to Predict Early Pregnancy Loss by Mengyuan Ren (14724676)

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Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis. by M. Mendez (6624953)

Overview of the study workflow for AI-driven musculoskeletal ultrasound analysis. by M. Mendez (6624953)

AI driven topic clustering and trend analysis workflow. by Min Ho An (7894658)

Average mean decrease Gini across 100 partitions for the top 10 most important variables for binary mixed model and random forest. by Helal El-Zaatari (20442243)

AI KRegression by CHIN-CHENG CHU (20718575)

Process mining, combined with decision tree analysis using machine learning, can reveal insights into various process inefficiencies, such as rework. by Mohammad Bakhtiari (11838264)

Deep reinforcement learning process. by Sen Cao (6017846)

“…<div><p>With the increasing integration of Connected and Automated Vehicles (CAVs) and Human-Driven Vehicles (HDVs) in urban traffic systems, along with highly variable pedestrian crossing demands, traffic management faces unprecedented challenges. …”

Supplemental information for "Data Driven Model to Estimate Furrow Irrigation Sediment Loss in Western U.S." by Bradley King (16921360)

“…<p>The area irrigated by furrow irrigation in the U.S. has been steadily decreasing but still represents about 20% of the total irrigated area. …”

This decision-making and root cause analysis demonstration employs decision mining with machine learning and Petri Net, for example, in the manuscript, featuring annotated decision... by Mohammad Bakhtiari (11838264)

Data Sheet 2_Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation.zip by Yimin Zhou (3857113)

Data Sheet 1_Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation.zip by Yimin Zhou (3857113)

Data Sheet 1_Decoding the hypoxia-exosome-immune triad in OSA: PRCP/UCHL1/BTG2-driven metabolic dysregulation revealed by interpretable machine learning.zip by Weilong Ye (12984647)

A novel RNN architecture to improve the precision of ship trajectory predictions by Martha Dais Ferreira (18704596)

“…To solve these challenges, Recurrent Neural Network (RNN) models have been applied to STP to allow scalability for large data sets and to capture larger regions or anomalous vessels behavior. This research proposes a new RNN architecture that decreases the prediction error up to 50% for cargo vessels when compared to the OU model. …”

Cost analysis for prototype implementation for crop and fertilizer recommendation system. by Gourab Saha (8987405)

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Mean parameter values for the selected crops. by Gourab Saha (8987405)

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Performance comparison of ML models. by Gourab Saha (8987405)

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Water consumption due to average value and fuzzy logic algorithm. by Gourab Saha (8987405)

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Comparative data of different soil samples. by Gourab Saha (8987405)

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Flow chart of Fuzzy Logic based control system. by Gourab Saha (8987405)

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