Braking performance and lateral stability on curved road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sidesli... حسب Honglei Pang (22693724)

الموضوعات:

Braking performance and lateral stability on low-adhesion road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle s... حسب Honglei Pang (22693724)

الموضوعات:

Braking performance and lateral stability on split-μ road surfaces: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sidesl... حسب Honglei Pang (22693724)

الموضوعات:

(a) Flow chart for PSO algorithm (b) position and velocity update of particles (c) convergence of PSO. حسب Waqas Anjum (8415186)

Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

(a-b) The LASSO algorithm was used for hyperparameter tuning and identification of the important predictive features. حسب Devi Soorya Narayana Sasikumar (22331743)

Flowchart of DAPF-RRT algorithm. حسب Zhenggang Wang (1753657)

"…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …"

Performance comparison of different algorithms. حسب Zhenggang Wang (1753657)

"…<div><p>In response to the widely used RRT-Connect path planning algorithm in the field of robotic arms, which has problems such as long search time, random node growth, multiple and unsmooth path turns, a path planning algorithm combining dynamic step size and artificial potential field is proposed. …"

The SCOPer algorithm can be run efficiently on multiple cores. حسب Nima Nouri (2183760)

Skeletonisation algorithm. حسب Jordan Hembrow (16908051)

Convergence curves of different algorithms on the benchmark functions. حسب Aihua Guo (13267712)

Algorithm results based on experimental likelihood functions. حسب Nicolas Herzig (9230425)

Flowchart of the phase optimization algorithm. حسب Maxim Terekhov (3429614)

Original data for the study "<b>Improving basin-wide flood estimation from a global hydrological model through spatiotemporal-pattern-</b><b>based </b><b>machine learning</b>" حسب Jiaqing Wang (18814630)

Pipeline of the interactor algorithm. حسب Jose Cleydson F. Silva (8685594)

Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. حسب Kevin Sawade (16726527)

"…Our ISA algorithm correlates with the much more sophisticated ROSETTA algorithm with a Pearson correlation coefficient of 0.88 (B). …"

The SSIM for the different algorithms. حسب Bingbing Li (461702)

"…Unlike traditional threshold functions, the improved threshold function is a continuous function that can avoid the pseudo Gibbs effect after image denoising and improve image quality. …"

A framework for improving localisation prediction algorithms. حسب Sven B. Gould (12237287)

"…Proteins with non-canonical internal motifs, or those dually targeted need to be taken into account (as they help to better distinguish between pNTS and mNTS features) and validated data could be sorted according to whether it is part of a core- or pan-proteome. Classifiers on which the algorithms are trained could include parameters such as the evolutionary distance of a species, non-coding regions, or a protein’s abundance as a currently neglected factor. …"

Flowchart of MOSRS algorithm. حسب Vahid Goodarzimehr (21343124)

"…The source codes of the MOSRS algorithm are publicly available at <a href="https://nimakhodadadi.com/algorithms-+-codes" target="_blank">https://nimakhodadadi.com/algorithms-+-codes</a>.…"

Comparison of different algorithms. حسب Jiandong Qiu (20389944)