Results 51 to 60 of about 58,557 (260)

Ternarno višekomponentno modeliranje adsorpcije primjenom ANN-a, LS-SVR-a i SVR-a – studija slučaja [PDF]

, 2021
The aim of this work was to develop three artificial intelligence-based methods to model the ternary adsorption of heavy metal ions {Pb2+, Hg2+, Cd2+, Cu2+, Zn2+, Ni2+, Cr4+} on different adsorbates {activated carbon, chitosan, Danish peat, Heilongjiang ...
Amina Yettou, Omar Khaldi, Hentabli, Mohamed, Abdelmadjid El Bey, Mihoub Abderrahim, Laidi, Maamar, Maamar Laidi, Khaldi, Omar, Salah Hanini, El Bey, Abdelmadjid, Abderrahim, Mihoub, Mohamed Hentabli, Yettou, Amina, Hanini, Salah   +13 more
core   +2 more sources

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

HKF-SVR Optimized by Krill Herd Algorithm for Coaxial Bearings Performance Degradation Prediction

Sensors, 2020
In real industrial applications, bearings in pairs or even more are often mounted on the same shaft. So the collected vibration signal is actually a mixed signal from multiple bearings.
Fang Liu, Liubin Li, Yongbin Liu, Zheng Cao, Hui Yang, Siliang Lu   +5 more
doaj   +1 more source

Analysis of classical and machine learning based short-term and mid-term load forecasting for smart grid

International Journal of Sustainable Energy, 2021
The evolution of advanced metering infrastructure (AMI) has increased the electricity consumption data in real-time manifolds. Using this massive data, the load forecasting methods have undergone numerous transformations.
Sneha Rai, Mala De
doaj   +1 more source

Evaluation of GA-SVR method for modeling bed load transport in gravel-bed rivers

, 2015
The aim of the present study is to apply Support Vector Regression (SVR) method to predict bed load transport rates for three gravel-bed rivers. Different combinations of hydraulic parameters are used as inputs for modeling bed load transport using four ...
Roushangar, Kiyoumars, Koosheh, Ali
core   +1 more source

Multiscale Circuit Architecture Associated With Memory Dysfunction in Temporal Lobe Epilepsy

Advanced Science, EarlyView.
A multiscale precision‐mapping framework reveals that memory impairment in temporal lobe epilepsy arises from the convergence of focal medial temporal pathology, strategic white matter disconnection, and limbic‐centered metabolic network dysfunction.
Jiajie Mo, Qiwen Yuan, Pengfei Zhang, Lin Sang, Zhong Zheng, Baotian Zhao, Xiu Wang, Chao Zhang, Wenhan Hu, Xiaoqiu Shao, Jianguo Zhang, Ruijin Yang, Kai Zhang   +12 more
wiley   +1 more source

Performance comparison of SVR, HNN with SVR-HNN.

, 2018
Performance comparison of SVR, HNN with SVR-HNN.
Khawaja M. Asim (5484725), Adnan Idris (5484731), Francisco Martínez-Álvarez (5484722), Talat Iqbal (5484728)   +3 more
core   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

Forecasting of Rice Harvest Results Using SVR Modeling Techniques

Jambura Journal of Mathematics
Forecasting is an activity that predicts future values {}{}by utilizing existing track record data. The object of this study is rice plants because they are the primary food source for the Indonesian people.
Devie Rosa Anamisa, Bain Khusnul Khotimah, Mohammad Yanuar Hariyawan, Firli Irhamni, Achmad Jauhari, Fifin Ayu Mufarroha, Dina Violina, Dinah Nuraini   +7 more
doaj   +1 more source

A New Model for Transfer Learning-Based Mapping of Burn Severity

Remote Sensing, 2020
In recent years, global forest fires have occurred more frequently, seriously destroying the structural functions of forest ecosystem. Mapping the burn severity after forest fires is of great significance for quantifying fire’s effects on ...
Zhong Zheng, Jinfei Wang, Bo Shan, Yongjun He, Chunhua Liao, Yanghua Gao, Shiqi Yang   +6 more
doaj   +1 more source