Flowchart of NABind algorithm. حسب Zheng Jiang (282949)

The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties حسب Tijana Šušteršič (14519970)

الموضوعات:

Partial Charges Optimized by Genetic Algorithms for Deep Eutectic Solvent Simulations حسب Xiang Zhong (3216381)

"…In the present work, a new software called genetic algorithm machine learning (GAML) was developed that utilizes a genetic algorithm (GA) approach to facilitate the development of optimized potentials for liquid simulation (OPLS)-based force field (FF) parameters for eight unique DESs based on three ammonium-based salts and five HBDs at multiple salt:HBD ratios. …"

Partial Charges Optimized by Genetic Algorithms for Deep Eutectic Solvent Simulations حسب Xiang Zhong (3216381)

"…In the present work, a new software called genetic algorithm machine learning (GAML) was developed that utilizes a genetic algorithm (GA) approach to facilitate the development of optimized potentials for liquid simulation (OPLS)-based force field (FF) parameters for eight unique DESs based on three ammonium-based salts and five HBDs at multiple salt:HBD ratios. …"

Configuration of multiple reduction surfaces in carinated burins. حسب Hannah Parow-Souchon (8317902)

Flowchart of P&O-based MPPT algorithm. حسب Luqman Khan (17921419)

iFAD∞ and other flow direction algorithms with test data حسب cheng (21018992)

Modeling and Optimizing N/O-Enriched Bio-Derived Adsorbents for CO₂ Capture: Machine Learning and DFT Calculation Approaches حسب Mohammad Rahimi (1715590)

الموضوعات:

Printed, Wireless, Soft Bioelectronics and Deep Learning Algorithm for Smart Human–Machine Interfaces حسب Young-Tae Kwon (3807913)

"…The combination of soft bioelectronics and deep learning algorithm allows classifying six classes of muscle activities with an accuracy of over 97%, which enables wireless, real-time, continuous control of external machines such as a robotic hand and a robotic arm. …"

Algorithm parameter setting. حسب Haiyan Zhang (176919)

الموضوعات:

Integration of Per- and Polyfluoroalkyl Substance (PFAS) Fingerprints in Fish with Machine Learning for PFAS Source Tracking in Surface Water حسب John F. Stults (12541853)

الموضوعات:

Integration of Per- and Polyfluoroalkyl Substance (PFAS) Fingerprints in Fish with Machine Learning for PFAS Source Tracking in Surface Water حسب John F. Stults (12541853)

الموضوعات:

DEMs for assessments of MFD algorithms حسب Pengfei Wu (11627371)

Response of Surface ocean () with and without fuzzy rules. حسب Saira Naseer (22430967)

الموضوعات:

UIQI of the results of each algorithm. حسب Haiyan Zhang (176919)

الموضوعات:

PSNR of the results of each algorithm. حسب Haiyan Zhang (176919)

الموضوعات:

Running time of each algorithm. حسب Haiyan Zhang (176919)

الموضوعات:

Integrated Guidance and Control of Multiple Interceptor Missiles Based on Improved Distributed Cooperative Control Strategy حسب Xiang Liu (119470)

"…<div><p>ABSTRACT In this study, an improved cooperative integrated guidance and control (IGC) design method is proposed based on distributed networks to address the guidance and control problem of multiple interceptor missiles. …"

Machine Learning-Assisted Multifunctional Environmental Sensing Based on a Piezoelectric Cantilever حسب Dongsheng Li (222712)

"…The proposed sensor has been demonstrated for humidity detection and achieved high resolution (0.3% RH), low hysteresis (5.6%), and fast response (1 s) and recovery (2.8 s). Based on the analysis of the magnitude spectra for transmission using machine learning algorithms, the sensor accurately quantifies temperatures and CO₂ concentrations in the interference of humidity with accuracies of 91.9 and 92.1%, respectively. …"

Machine Learning-Assisted Multifunctional Environmental Sensing Based on a Piezoelectric Cantilever حسب Dongsheng Li (222712)

"…The proposed sensor has been demonstrated for humidity detection and achieved high resolution (0.3% RH), low hysteresis (5.6%), and fast response (1 s) and recovery (2.8 s). Based on the analysis of the magnitude spectra for transmission using machine learning algorithms, the sensor accurately quantifies temperatures and CO₂ concentrations in the interference of humidity with accuracies of 91.9 and 92.1%, respectively. …"