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Estimating kinetic energy reduction for terminal ballistics using a hyperparameter-optimized neural network.

• Authors : Thompson, Brianna (AUTHOR); Sherburn, Jesse (AUTHOR); Ross, James (AUTHOR)

Subjects: ARTIFICIAL neural networks; KINETIC energy; BALLISTICS

• Source: Neural Computing & Applications. Apr2024, Vol. 36 Issue 12, p6531-6545. 15p.

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Online Learning Sample Filtering for Object Tracking.

• Authors : Yu, Jiawei (AUTHOR); Luo, Jialing (AUTHOR); Zhao, Chuangxin (AUTHOR)

Subjects: OBJECT tracking (Computer vision); ONLINE education; TRACKING algorithmsJAPAN

• Source: IEEJ Transactions on Electrical & Electronic Engineering. Jan2024, Vol. 19 Issue 1, p90-99. 10p.

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Combination prediction method of students' performance based on ant colony algorithm.

• Authors : Xu, Huan; Kim, Min

Subjects: ANT algorithms; RUNNING speed; DECISION trees

• Source: PLoS ONE; 3/11/2024, Vol. 19 Issue 3, p1-18, 18p

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Can Machine Learning Predict Running Kinematics Based on Upper Trunk GPS-Based IMU Acceleration? A Novel Method of Conducting Biomechanical Analysis in the Field Using Artificial Neural Networks.

• Authors : Lawson, Michael; Naemi, Roozbeh; Needham, Robert A.

Subjects: RUNNING speed; ARTIFICIAL neural networks; FOOT

• Source: Applied Sciences (2076-3417); Mar2024, Vol. 14 Issue 5, p1730, 13p

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Gait Event Detection and Travel Distance Using Waist-Worn Accelerometers across a Range of Speeds: Automated Approach.

• Authors : Ramli, Albara Ah; Liu, Xin; Berndt, Kelly

Subjects: WALKING speed; RUNNING speed; CENTER of mass

• Source: Sensors (14248220); Feb2024, Vol. 24 Issue 4, p1155, 12p

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Gait Characterization in Duchenne Muscular Dystrophy (DMD) Using a Single-Sensor Accelerometer: Classical Machine Learning and Deep Learning Approaches.

• Authors : Ramli, Albara Ah; Liu, Xin; Berndt, Kelly

Subjects: DEEP learning; DUCHENNE muscular dystrophy; RUNNING speed

• Source: Sensors (14248220); Feb2024, Vol. 24 Issue 4, p1123, 23p

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Research on eight machine learning algorithms applicability on different characteristics data sets in medical classification tasks.

• Authors : Yiyan Zhang; Qin Li; Yi Xin

Subjects: MEDICAL coding; INFORMATION theory; STATISTICS

• Source: Frontiers in Computational Neuroscience; 2024, p1-17, 17p

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Acceleration-Based Estimation of Vertical Ground Reaction Forces during Running: A Comparison of Methods across Running Speeds, Surfaces, and Foot Strike Patterns.

• Authors : Kiernan, Dovin; Ng, Brandon; Hawkins, David A.

Subjects: GROUND reaction forces (Biomechanics); CENTER of mass; RUNNING speed

• Source: Sensors (14248220); Nov2023, Vol. 23 Issue 21, p8719, 25p

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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