Deep Learning–Based Prediction of Freezing of Gait in Parkinson's Disease With the Ensemble Channel Selection Approach by Sara Abbasi, Khosro Rezaee

“…Conclusion The reduced computational complexity enables real‐time monitoring. …”
Get full text

Şahin Ç., Kerpiççi H., Karabay A. Ya., Karahan K. Investigation of Discharge Flow and Force Coefficients in Hermetic Reciprocating Compressors / trans. from Engl. M. A. Fedorova... by M. A. Fedorova

“…Those are calculated with the Computational Fluid Dynamics (CFD) analyses with respect to the valve lift. …”
Get full text

Effect of Different Impression Techniques on Marginal Fit of Restoration – An In Vitro Study by Priyanka S. Raghav, S Abirami, Abhinav Gupta, Faiz Noor Khan Yusufi, Shaista Afroz

“…Aim: To evaluate the effect of three different impression techniques on the marginal fit of computer-aided designed/computer-aided manufactured (CAD/CAM) single unit composite fixed dental prostheses (FDP), different consistencies of addition silicone impression material and different tray design were utilized. …”
Get full text

Task scheduling optimization strategy for roadside unit based on security strength by SU Beipo, DAI Liang, JU Yongfeng

“…In the context of cooperative vehicle-infrastructure systems (CVIS), vehicles often offload computational tasks to roadside units (RSUs) for execution due to their own constrained computing resources. …”
Get full text

Long-term tracking of neural and oligodendroglial development in large-scale human cerebral organoids by noninvasive volumetric imaging by Sangjun Park, Cheol Hong Min, Eunjin Choi, Jeong-Sun Choi, Kyungjin Park, Seokyoung Han, Wonjun Choi, Hyun-Jong Jang, Kyung-Ok Cho, Moonseok Kim

“…Line-shaped illumination mitigates photodamage and, alongside refined spatial gating, maximizes signal collection through integrating with computational processing. The integration of deconvolution and compressive sensing has improved image contrast by 6-fold, elucidating fine features of the neurites. …”
Get full text

Stress intensity factors for mixed-mode crack growth in imitation models under biaxial loading by R.R. Yarullin, V.N. Shlyannikov, I.S. Ishtyriakov, M.M. Yakovlev

“…The advantages of using the computational and experimental results of imitation model II for verification and development of modern crack growth rates and lifetime prediction models are stated.…”
Get full text

Fast dynamical simulation combining harmonic-modal hybrid formulations with space separated representations by Claudia Germoso, Sebastian Rodriguez, Angelo Pasquale, Francisco Chinesta

“…The integration of space-separated representations allows for extremely fine 3D resolutions while maintaining computational complexity at a significantly reduced order of magnitude. …”
Get full text

PHARAOH: A collaborative crowdsourcing platform for phenotyping and regional analysis of histology by Kevin Faust, Min Li Chen, Parsa Babaei Zadeh, Dimitrios G. Oreopoulos, Alberto J. Leon, Ameesha Paliwal, Evelyn Rose Kamski-Hennekam, Marly Mikhail, Xianpi Duan, Xianzhao Duan, Mugeng Liu, Narges Ahangari, Raul Cotau, Vincent Francis Castillo, Nikfar Nikzad, Richard J. Sugden, Patrick Murphy, Safiyh S. Aljohani, Philippe Echelard, Susan J. Done, Kiran Jakate, Zaid Saeed Kamil, Yazeed Alwelaie, Mohammed J. Alyousef, Noor Said Alsafwani, Assem Saleh Alrumeh, Rola M. Saleeb, Maxime Richer, Lidiane Vieira Marins, George M. Yousef, Phedias Diamandis

“…Here, we present an online collaborative platform that streamlines tissue image annotation to promote the development and sharing of custom computer vision models for PHenotyping And Regional Analysis Of Histology (PHARAOH; https://www.pathologyreports.ai/ ). …”
Get full text

Feature Representations Using the Reflected Rectified Linear Unit (RReLU) Activation by Chaity Banerjee, Tathagata Mukherjee, Eduardo Pasiliao Jr.

“…We test our activation function on the standard MNIST and CIFAR-10 datasets, which are classification problems, as well as on a novel Computational Fluid Dynamics (CFD) dataset which is posed as a regression problem. …”
Get full text

DLiGRU-X: Efficient X-Vector-Based Embeddings for Small-Footprint Keyword Spotting System by Zong-En Wu, Shao-Jung Chan, Yeshanew Ale Wubet, Kuang-Yow Lian

“…The DLiGRU-X model enhances temporal feature extraction with a LiGRU and reduces computational complexity through dilated convolution techniques. …”
Get full text

Research on on-site real-time detection technology of transmission line pulling force based on sensors by Yang Shibiao, Zhong Yu, Huang Lei, Yuan Xing

“…Then, the sensor data is transmitted to the computer system for real-time processing and analysis. …”
Get full text

Multiple acute complications of transarterial chemoembolization of liver metastases by R. N. Abu Shamsia, Yu. M. Zakharash

“…For timely diagnosis of purulent-septic complications after transarterial chemoembolization of liver metastases, in addition to ultrasound, computer, magnetic resonance imaging, careful clinical monitoring of the patient and a comprehensive assessment of his health are required. …”
Get full text

Optimal channel and feature selection for automatic prediction of functional brain age of preterm infant based on EEG by Ling Li, Jiahui Li, Hui Wu, Yanping Zhao, Qinmei Liu, Hairong Zhang, Wei Xu

“…However, using all channels and features for brain maturity assessment can lead to high computational burden and overfitting, which can decrease the performance of the prediction system.MethodsIn this study, we propose an automatic prediction framework based on EEG to predict functional brain age (FBA) for assessing brain maturity in preterm infants. …”
Get full text

The Earth-Mars Transfer Trajectory Optimization of Solar Sail Based on hp-Adaptive Pseudospectral Method by Yufei Guo, Dongzhu Feng, Xin Wang, Cong Li, Yunzhao Liu

“…The simulation results show that the adopted method is not sensitive to the initial values and has more reasonable distribution and less computational cost than the Gauss pseudospectral method.…”
Get full text

Comparison Study on the Exact Dynamic Stiffness Method for Free Vibration of Thin and Moderately Thick Circular Cylindrical Shells by Xudong Chen, Kangsheng Ye

“…A FORTRAN code is written and used to compute the modal characteristics. Numerical examples are presented, verifying the proposed computational framework. …”
Get full text

Analytic two-loop four-point form factor of the stress-tensor supermultiplet in N $$ \mathcal{N} $$ = 4 SYM by Yuanhong Guo, Lei Wang, Gang Yang, Yixiong Yin

“…Abstract We compute the two-loop four-point MHV form factor of the stress-tensor supermultiplet in planar N $$ \mathcal{N} $$ = 4 super Yang-Mills (SYM). …”
Get full text

Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization by Roland Nagy, István Szalai

“…This algorithm combines rule-based methods with machine learning, offering enhanced accuracy and lower computational costs compared to alternative approaches. …”
Get full text

Knowledge-Based Deep Learning for Time-Efficient Inverse Dynamics by Shuhao Ma, Yu Cao, Ian D. Robertson, Chaoyang Shi, Jindong Liu, Zhi-Qiang Zhang

“…Accurate understanding of muscle activation and muscle forces plays an essential role in neuro-rehabilitation and musculoskeletal disorder treatments. Computational musculoskeletal modeling has been widely used as a powerful non-invasive tool to estimate them through inverse dynamics using static optimization, but the inherent computational complexity results in time-consuming analysis. …”
Get full text

Seismic Response Compression of Various MSE Walls Based on 3D Modeling by Muhammad Akbar, Huali Pan, Guoqiang Ou, Georgios Nikitas, Bilal Ahmed

“…The specifics of the modeling approach used in this study and the lessons learned serve as benchmarks for future comparable lines of inquiry and practitioners, especially as the computational power of desktop computers continues to rise.…”
Get full text

A Novel Numerical Technique for Fractional Ordinary Differential Equations with Proportional Delay by Muhammad Imran Liaqat, Adnan Khan, Ali Akgül, Md. Shajib Ali

“…Establishing the coefficients for a series, like the RPSM, necessitates computing the fractional derivatives each time. As ERPSM just requires the concept of a zero limit, we simply need a few computations to get the coefficients. …”
Get full text