A New Strategy to Design Reconfigurable Rivest–Shamir–Adleman (RSA) Accelerators
A reconfigurable FPGA‐based RSA accelerator is proposed using compression‐based modular multipliers combined with pseudomoduli arithmetic. The approach maps modular exponentiation to low‐cost arithmetic domains and applies a correction stage, achieving significant improvements in delay, operating frequency, and delay–area efficiency compared with ...
Augusto C. B. Vassoler +4 more
wiley +1 more source
Evaluation of fatigue progression during overhead tasks and the effects of exoskeleton assistance. [PDF]
Zakir S +5 more
europepmc +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
The reliability of upper limb rotation test in adolescent male basketball players. [PDF]
Gultekinler BD +3 more
europepmc +1 more source
The regular variations of light in the natural light cycle serve as one of the most important cues for the timing of biological events in organisms. The increasing prevalence of artificial light at night (ALAN) alters the natural light cycle and has been found to have harmful effects on human, wildlife, and environmental health.
Layla van Zyl +3 more
wiley +1 more source
Multi-agent reinforcement learning driven resource game optimization for network slicing in MEC-enabled HetNets. [PDF]
Mao K.
europepmc +1 more source
ABSTRACT System dynamics uncertainties and cyberattacks pose significant challenges to load frequency control in power systems. This paper presents a data‐driven load frequency control strategy for interconnected multi‐area power systems subject to denial‐of‐service attacks that disrupt both feedforward and feedback communication channels.
Yuhao Chen +4 more
wiley +1 more source
Integrating Frequency-Spatial Features for Energy-Efficient OPGW Target Recognition in UAV-Assisted Mobile Monitoring. [PDF]
Huang L, Ren X, Qu D, Li L, Xu J.
europepmc +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
SRAM based Gaussian noise generation for post quantum cryptography. [PDF]
Kim MS, Jeon SB, Kim S.
europepmc +1 more source

