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Journal Articles

Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries

Junchuan Shi, Yupeng Wei, Dazhong Wu

Publisher: ASME

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090901.

Paper No: JCISE-23-1033

https://doi.org/10.1115/1.4063985

Published Online: June 7, 2024

View Article titled, Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries

Topics: Batteries, Convolutional neural networks, Cycles, Lithium-ion batteries, Stress, Condition monitoring

Journal Articles

Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM

Yindong Shen, Yaru Ge

Publisher: ASME

J. Comput. Inf. Sci. Eng. September 2024, 24(9): 090903.

Paper No: JCISE-23-1316

https://doi.org/10.1115/1.4064666

Published Online: June 7, 2024

View Article titled, Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM

Topics: Batteries, Lead-acid batteries, Machine learning, Errors, Temperature

Journal Articles

A Genetic Algorithm and RNN-LSTM Model for Remaining Battery Capacity Prediction

Mukul Singh, Shrey Bansal, Vandana, B. K. Panigrahi, Akhil Garg

Publisher: ASME

J. Comput. Inf. Sci. Eng. August 2022, 22(4): 041009.

Paper No: JCISE-21-1040

https://doi.org/10.1115/1.4053326

Published Online: February 15, 2022

View Article titled, A Genetic Algorithm and RNN-LSTM Model for Remaining Battery Capacity Prediction

Topics: Batteries, Temperature, Genetic algorithms, Cycles, Gates (Closures), Noise (Sound)

Journal Articles

A Wearable Device to Detect in Real-Time Bimanual Gestures of Basketball Players During Training Sessions

Marco Mangiarotti, Francesco Ferrise, Serena Graziosi, Francesco Tamburrino, Monica Bordegoni

Publisher: ASME

J. Comput. Inf. Sci. Eng. March 2019, 19(1): 011004.

Paper No: JCISE-18-1041

https://doi.org/10.1115/1.4041704

Published Online: November 19, 2018

View Article titled, A Wearable Device to Detect in Real-Time Bimanual Gestures of Basketball Players During Training Sessions

Topics: Algorithms, Chain, Design, Machine learning, Matlab, Sensors, Accelerometers, Buses, Railroad passenger cars, Signals

Journal citation

NARROW

Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries

Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM

A Genetic Algorithm and RNN-LSTM Model for Remaining Battery Capacity Prediction

A Wearable Device to Detect in Real-Time Bimanual Gestures of Basketball Players During Training Sessions

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries

Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM

A Genetic Algorithm and RNN-LSTM Model for Remaining Battery Capacity Prediction

A Wearable Device to Detect in Real-Time Bimanual Gestures of Basketball Players During Training Sessions

ASME Journals

ASME Conference Proceedings

ASME eBooks

Resources

Opportunities

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