Video Temporal Grounding with Multi-Model Collaborative Learning by Yun Tian, Xiaobo Guo, Jinsong Wang, Bin Li, Shoujun Zhou

“…Functioning as a critical conduit between computer vision and natural language processing, this task holds profound importance in advancing video comprehension. …”
Get full text

Modeling of non-thermal fractions formed in the extended hydrogen corona at Mars by Valery Shematovich, Dmitry Bisikalo, Dmitry Bisikalo

“…Notably, this charge-exchange process serves as an active aeronomic mechanism for generating supra- and super-thermal hydrogen populations in Mars’ extended corona and may act as a potential driver for similar phenomena on other planets. …”
Get full text

Multi-Domain Controversial Text Detection Based on a Machine Learning and Deep Learning Stacked Ensemble by Jiadi Liu, Zhuodong Liu, Qiaoqi Li, Weihao Kong, Xiangyu Li

“…Due to the rapid proliferation of social media and online reviews, the accurate identification and classification of controversial texts has emerged as a significant challenge in the field of natural language processing. However, traditional text-classification methodologies frequently encounter critical limitations, such as feature sensitivity and inadequate generalization capabilities. …”
Get full text

Comprehensive Style Transfer for Facial Images Using Enhanced Feature Attribution in Generative Adversarial Nets by Yongseon Yoo, Seonggyu Kim, Jong-Min Lee

“…Image-to-image translation is a fundamental task in computer vision that transforms images between domains while preserving essential content. …”
Get full text

Prevailing insights into anastomotic angles of surgically created arteriovenous fistulas: a literature review by Xinyang Li, Chong Liu, Haidi Hu

“…At present, many sources have confirmed that variations in anastomotic angle culminate in differing geometric parameters of perianastomotic blood vessels, thus affecting the AVF maturation process. Methods This publication was intended to highlight the progress achieved with respect to AVF anastomotic angle conventions through collective outcomes of clinical analyses, basic research, computational fluid dynamics (CFD) studies, and VasQ external stent trials. …”
Get full text

Federated stochastic gradient averaging ring homomorphism based learning for secure data aggregation in WSN by Saravanakumar Pichumani, T. V. P. Sundararajan, S. M. Ramesh

“…Finally, a Federated Learning environment with heterogeneous sensor nodes positioned across the network is considered for performing secure data aggregation. The processing power of each sensor node and size of training data packets can be heterogeneous. …”
Get full text

Motor Improvement-Related Regional Cerebral Blood Flow Changes in Parkinson’s Disease in Response to Antiparkinsonian Drugs by Soutarou Taguchi, Nachi Tanabe, Jun-ichi Niwa, Manabu Doyu

“…The SPECT data were processed using Statistical Parametric Mapping 2, the easy Z-score Imaging System, and voxel-based Stereotactic Extraction Estimation. …”
Get full text

Identification and Ranking of Binding Sites from Structural Ensembles: Application to SARS-CoV-2 by Maria Lazou, Ayse A. Bekar-Cesaretli, Sandor Vajda, Diane Joseph-McCarthy

“…In this work, we utilize the computational hot spot mapping method, FTMove, to rapidly identify and rank binding sites for a set of nine SARS-CoV-2 drug/potential drug targets. …”
Get full text

Atmospheric Photochemical Oxidation of 4-Nitroimidazole by Nayan Kondapalli, Oliver Cernero, Aaron Welch, Aaron W. Harrison

“…Their strong absorption in the near-UV (300–400 nm) makes photochemistry a critical aspect of their atmospheric processing. This study investigates both the direct near-UV photochemistry and hydroxyl radical (OH) oxidation of 4-nitroimidazole (4-NI). …”
Get full text

Measurement of FRFs and Modal Identification in Case of Correlated Multi-Point Excitation by U. Fuellekrug, M. Boeswald, D. Goege, Y. Govers

“…The second method utilizes the equality of complex power to generate virtual FRFs along with a single virtual driving point. The computation of FRFs and the modal identification using virtual single-point excitation are explained. …”
Get full text

Machine learning detection of Gaussian steering in continuous-variable systems under data imbalance by Jie Guo, Taotao Yan, Jinchuan Hou, Xiaofei Qi, Kan He

“…An ensemble learning approach that integrates these methods is also utilized to increase the accuracy of detection. A computable Gaussian steering quantification $$\mathcal {J}$$ introduced recently in [Phys. …”
Get full text

Experimental Studies of Fluid Flow Resistance in a Heat Exchanger Based on the Triply Periodic Minimal Surface by Marcin Kruzel, Krzysztof Dutkowski, Tadeusz Bohdal

“…They mainly concern computer simulations that have yet to be experimentally verified. …”
Get full text

Convolutional neural network for maxillary sinus segmentation based on the U-Net architecture at different planes in the Chinese population: a semantic segmentation study by Jiayi Chen

“…Computation was performed on an RTX GeForce 3060 GPU. …”
Get full text

Development and evaluation of rapid, national-scale outdoor air pollution modelling and exposure assessment: Hybrid Air Dispersion Exposure System (HADES) by Calvin Jephcote, John Gulliver

“…Improvements in computer processing power are facilitating the development of more detailed environmental models with greater geographical coverage. …”
Get full text

Influence of CAD/CAM Technology on the Accuracy of Complete Denture Bases by Maryam M. AlRasheedi, Fatemah B. Ibrahem

“…Background: “By making entire denture fabrication more efficient and accurate, computer-aided design and manufacturing (CAD/CAM) technology has changed prosthodontics forever.” …”
Get full text

Estimación de la resistencia a la penetración de suelos usando redes neuronales artificiales Prediction of the soils penetration strength using artificial neural networks by Nidia Johana Valdés Holguín, Luis Octavio González Salcedo, Adrián L E. Will

“…<br>Artificial Neural Networks simulate the learning process of biological neurons, and these have been successfully used in the computation of parameters on several engineering problems where exist a strong nonlinear relation among the variables. …”
Get full text

Identifying Individual Jaguars and Ocelots via Pattern‐Recognition Software: Comparing HotSpotter and Wild‐ID by Robert B. Nipko, Brogan E. Holcombe, Marcella J. Kelly

“…The large volume of data such studies produce have encouraged researchers to increasingly look to computer‐assisted pattern‐recognition software to expedite individual identifications, but little work has been done to formally assess such software for camera‐trap data. …”
Get full text

Ensemble Learning for Three-dimensional Medical Image Segmentation of Organ at Risk in Brachytherapy Using Double U-Net, Bi-directional ConvLSTM U-Net, and Transformer Network by Soniya Pal, Raj Pal Singh, Anuj Kumar

“…The DUN setup excels in sequential processing, the BCUN captures spatiotemporal dependencies, and transformer networks provide a robust understanding of global context. …”
Get full text

Estimation of Vibration-Induced Fatigue Damage in a Tracked Vehicle Suspension Arm at Critical Locations Under Real-Time Random Excitations by Ayaz Mahmood Khan, Muhammad Shahid Khalil, Muhammad Muzammil Azad

“…Damage due to fatigue is conventionally computed using time domain loaded signals with stress or strain data. …”
Get full text

Old Drugs, New Indications (Review) by I. I. Miroshnichenko, E. A. Valdman, I. I. Kuz'min

“…The drug can be used in the treatment of one disease and for the prevention and treatment of another pathological process. This is possible due to the repurposing of medicines. …”
Get full text