Papers where the original authors have engaged with our plain-language explanation.
For every paper on this page, at least one of the original authors has seen our plain-language explanation and engaged with it — either confirming it reads accurately or requesting corrections that we then applied. An endorsement does not mean the authors formally approve every sentence, but it does mean the explanation has passed the eyes of the people who wrote the paper.
949 papers reviewed by authors · 251–260 / 949
This study proposes an orientation-aware hybrid convolutional neural network that integrates hand-crafted edge and texture filters with deep learning features to enhance touch-less face recognition robustness against pose, illumination, and occlusion variations, achieving improved F1-scores across three benchmark datasets.
This paper presents a cost-effective, intelligent robotic walker prototype that utilizes sensor fusion and efficient actuation to achieve high-accuracy obstacle detection and autonomous navigation, significantly enhancing mobility independence for elderly users.
This paper presents an interpretable quantum autoencoder that utilizes angle encoding and variational compression to effectively detect anomalies in brain MRI scans, achieving superior performance over classical baselines by leveraging the incompressibility of pathological regions relative to a learned normal manifold.
This paper demonstrates that interpretable neural networks incorporating Wigner's SU(4) and Elliott's SU(3) symmetries not only achieve competitive accuracy in predicting global nuclear masses but also reveal that these fundamental symmetries govern binding energies across the entire nuclear chart, offering crucial physical insights into phenomena like symmetry restoration near the neutron dripline.
This retrospective study of 119 forensic patients in Northern Israel reveals that clinical factors, particularly the timing of the first discretionary leave, rather than offense severity, are the primary determinants of hospitalization duration, suggesting a need for personalized, clinically focused discharge planning.
This paper presents a generalized formulation based on multiple geometric time-delay interferometry links that streamlines the derivation of response functions for 45 second-generation space-borne gravitational wave detector combinations, thereby reducing computational complexity and enhancing physical clarity for future data processing.
This paper proposes a continuity-equation framework demonstrating that gas accretion acts as a mass-space transport process that, depending on the accretion rate's mass dependence, can either diverge or converge compact-object populations, thereby naturally explaining the origin of massive gravitational-wave sources and the observed high-mass tails in merger catalogs.
This paper presents a numerical study using the adaptive second-order Kuramoto model on a European power grid to demonstrate that while adaptive High Voltage Direct Current (HVDC) lines improve steady-state synchronization and reduce cascade sizes, they also introduce drawbacks such as frequency spread, Braess effects, and significantly longer relaxation times.
This paper introduces an open, reproducible gamma-variate pipeline for CT-perfusion analysis that ensures cross-site comparability through standardized ASIST-Japan visualization and validates its accuracy and bit-stable reproducibility using synthetic benchmarks with known ground truth.
This paper introduces MultModLM, a multi-modal benchmark and comprehensive evaluation framework for assessing Large Language Models' ability to generate hardware schematics from RTL descriptions, revealing that while models produce visually interpretable outputs, they struggle with functional correctness and that LLM-based evaluators are unreliable for judging structural precision in hardware design.