Analysis and best parameters selection for person recognition based on gait model using CNN algorithm and image augmentation
Abstract Person Recognition based on Gait Model (PRGM) and motion features is are
indeed a challenging and novel task due to their usages and to the critical issues of human …
indeed a challenging and novel task due to their usages and to the critical issues of human …
Predictive analysis of concrete slump using a stochastic search-consolidated neural network
Y Zhou, Z Jiang, X Zhu - Heliyon, 2024 - cell.com
Attaining a dependable measurement of concrete slump is crucial as it is a valuable
indication of concrete workability. On the other hand, complexities associated with costly …
indication of concrete workability. On the other hand, complexities associated with costly …
Novel evolutionary-optimized neural network for predicting fresh concrete slump
Accurate prediction of fresh concrete slumps is a complex non-linear problem that depends
on several parameters including time, temperature, and shear history. It is also affected by …
on several parameters including time, temperature, and shear history. It is also affected by …
ANN modelling approach for predicting SCC properties-Research considering Algerian experience. Part III. Effect of mineral admixtures
M Sahraoui, T Bouziani - Journal of Building Materials and …, 2021 - journals.lagh-univ.dz
This paper addresses the effect of mineral admixtures on fresh and hardened properties of
self compacting concrete (SCC). Artificial neural networks (ANN) and simplex lattice design …
self compacting concrete (SCC). Artificial neural networks (ANN) and simplex lattice design …
[PDF][PDF] Novel Evolutionary-Optimized Neural Network for Predicting Fresh Concrete Slump. Sustainability 2022, 14, 4934
H Safayenikoo, M Khajehzadeh, ML Nehdi - 2022 - academia.edu
Accurate prediction of fresh concrete slumps is a complex non-linear problem that depends
on several parameters including time, temperature, and shear history. It is also affected by …
on several parameters including time, temperature, and shear history. It is also affected by …
[PDF][PDF] PREDICTION OF THE INCREASE IN YARN UNEVENNESS AFTER WINDING PROCESS USING STATISTICAL AND ARTIFICIAL NEURAL NETWORK …
TDUC TRUNG, D TUAN, CHUD HUONG - vat.ft.tul.cz
This paper investigated the prediction of the increase in unevenness of two types of yarn: Ne
30/1 CVCM (combed yarn Ne 30/1, 60% Cotton 40% Polyester) and Ne 30/1 COCM …
30/1 CVCM (combed yarn Ne 30/1, 60% Cotton 40% Polyester) and Ne 30/1 COCM …