Results 171 to 180 of about 41,575 (296)

A Novel Prediction-Optimization Machine Learning Framework for Nanofluid-Based Photovoltaic/Thermal Systems. [PDF]

Nanomaterials (Basel)
Li C, Huang Y, Zhang Z, Zhou Y, Geng R, Wang C, Ma L.   +6 more
europepmc   +1 more source

AI‐enabled bumpless transfer control strategy for legged robot with hybrid energy storage system

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Designing Hybrid energy storage system (HESS) for a legged robot is significant to improve the motion performance and energy efficiency of the robot. However, switching between the driving mode and regenerative braking mode in the HESS may generate a torque bump, which has brought significant challenges to the stability of the robot locomotion.
Zhiwu Huang, Zi Yu, Hui Peng, Zixuan Wang, Xiaokang Dai, Weirong Liu, Jing Wang   +6 more
wiley   +1 more source

Two-dimensional NMR from a single pulse: Reconstructing heteronuclear 2D spectra via off-resonance decoupling and deep neural networks. [PDF]

Proc Natl Acad Sci U S A
Khandave NP, Kakita VMR, Buchanan CJ, Shukla VK, Haubrich K, Vallurupalli P, Hansen DF.   +6 more
europepmc   +1 more source

EFFICIENT MODELING FOR DNN HARDWARE RESILIENCY ASSESSMENT

Deep neural network (DNN) hardware accelerators are critical enablers of the current resurgence in machine learning technologies. Adopting machine learning in safety-critical systems imposes additional reliability requirements on hardware design ...
Mahmoud, Karim
core  

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu, Xuanyu Zhang, Xiandong Meng, Jian Zhang   +3 more
wiley   +1 more source

Multimodal medical image reconstruction and organ-wise disease classification using a hybrid deep learning-Kalman filtering framework. [PDF]

Front Med (Lausanne)
Arif S.
europepmc   +1 more source

Deep neural network model for fractional-order cancer chemotherapy dynamics. [PDF]

Sci Rep
Shafqat R, Imran, Al-Quran A, Djaouti AM.   +3 more
europepmc   +1 more source

Application of Deep Learning in Virtual Power Plants—A Review

Energy Internet, EarlyView.
ABSTRACT The advancement of deep learning (DL) has substantially improved the power grid’s ability to model and optimise diverse and highly complex tasks. Although intelligent transformation is an inevitable trend, traditional approaches increasingly reveal limitations in computational efficiency, nonlinear nonconvex optimisation, and multi‐layer ...
Hongjie Zhu, Zezhen Zhang, Yang Gao, Xiao Hu, Ying Cai, Yunqi Wang, Qin Wang, Qian Ai   +7 more
wiley   +1 more source

A Deep Learning-Assisted Multi-Relay DCSK Communication System. [PDF]

Sensors (Basel)
Huang T, Hong S, Chen J, Kang L.
europepmc   +1 more source

Intra‐Seasonal Crop Management and the Potential Benefit of Seasonal Precipitation Forecasts: Farm‐Level Embedded Risk Analysis in Ethiopia

Journal of Agricultural Economics, EarlyView.
ABSTRACT How large is the potential benefit for farmers from obtaining forecasts of total rainfall in the upcoming season? This critically depends on the local farm system and the crop management actions available to farmers to respond to the forecasts issued. Studies assessing the financial value of seasonal precipitation forecasts have so far focused
Christian Troost, Samuel Elias Kayamo, Livia Rasche, Thomas Berger   +3 more
wiley   +1 more source