Fine-grained entity disambiguation through numeric pattern awareness in transformer models by Jaeeun Jang, Sangmin Kim, Howon Moon, Sang Heon Shin, Mira Yun, Charles Wiseman

“…The enhanced model shows a markedly improved ability to differentiate between instances based on subtle temporal and geospatial cues. …”
Get full text

The role of quantitative EEG biomarkers in Alzheimer’s disease and mild cognitive impairment: applications and insights by Yue Yuan, Yang Zhao

“…Data from microstate analysis have demonstrated significant variations in temporal dynamics in patients with AD. …”
Get full text

From Obstacles to Opportunities : Exploring Learners' Challenges in Academic Vocabulary Acquisition at Lukmanulhakeem School, Southern Thailand by Yasmin Elfa Mediena, Mohammad Iqbal Firdaus, Abdul Rohim, Sanjaya Argade

“…This approach was chosen for its ability to capture and analyze personal narratives across temporal and contextual dimensions, thereby providing a comprehensive understanding of the challenges encountered by students. …”
Get full text

Optimizing Photovoltaic Power Prediction Using Computational Methods and Artificial Neural Networks by Cempaka Amalin Mahadzir, Ahmad Fateh Mohamad Nor, Siti Amely Jumaat, Noor Syahirah Ahmad Safawi

“…Since solar power output is fluctuating and depends on climatic, geographical and temporal factors, precise prediction requires the implementation of computational approaches. …”
Get full text

Simulations to benchmark time-varying connectivity methods for fMRI. by William Hedley Thompson, Craig Geoffrey Richter, Pontus Plavén-Sigray, Peter Fransson

“…These simulations were designed to test each method's ability to track changes in covariance over time, which is a key property in TVC analysis. …”
Get full text

Similarity evaluation of rocket time series data based on radian features by Zeng Teng, Xu Haizhou, Li Linfeng, Zhou Gan, Meng Linggang

“…By fully considering the original temporal features and radian features, and using time neighborhood information for calculation, the algorithm's ability to capture the local shape of the sequence has been greatly improved. …”
Get full text

Remote sensing techniques to assess badlands dynamics: insights from a systematic review by Rosa Colacicco, Marco La Salandra, Isabella Lapietra, Alberto Refice, Domenico Capolongo

“…Remote sensing (RS) technologies, from ground- to satellite-based, have emerged as valuable tools for assessing these processes due to their ability to provide data at high spatial and/or temporal resolutions over complex terrains. …”
Get full text

Harnessing machine learning for streamflow prediction: A comparative study of advanced models in the Upper Klang River Basin, Malaysia by Napisah Nasir, Dani Irwan, Ali Najah Ahmed, Saerahany Legori Ibrahim, Izihan Ibrahim, Mohsen Sherif, Ahmed El-Shafie

“…Additionally, the incorporation of lagged inputs, determined through autocorrelation analysis, significantly enhances the model's accuracy, underlining the importance of considering temporal dependencies in hydrological forecasting. …”
Get full text

THE IMPORTANCE OF USING GIS IN INCREASING THE EFFICIENCY OF AGRICULTURAL FARMS - A BIBLIOMETRIC APPROACH by Mirela PLESA, Liviu MARCUTA, Alina MARCUTA, Alexandru FINTINERU, Andreea Roxana FIRĂŢOIU, Ovidiu GUSAN

“…GIS technology provides solutions to these problems through its ability to collect, analyze and visualize complex geospatial data. …”
Get full text

A demand-centered scheduling framework for shared supercomputing resources: modeling, metrics, and case insights by Hyungwook Shim

“…To verify the effectiveness of the proposed framework, an additional comparative analysis was performed for three organizations under identical resource conditions. …”
Get full text

Improving prediction accuracy in agricultural markets through the CIMA-AttGRU model. by Yankun Jiang, Jinhui Liu, Xiaotuan Li

“…The rationale behind employing the CIMA-AttGRU model lies in its ability to effectively tackle the inherent challenges of financial market analysis. …”
Get full text

Exploring Continuous Seismic Data at an Industry Facility Using Unsupervised Machine Learning by Chengping Chai, Omar Marcillo, Monica Maceira, Junghyun Park, Stephen Arrowsmith, James O. Thomas, Joshua Cunningham

“…Our analysis demonstrates the effectiveness of unsupervised approaches in examining continuous seismic data without requiring prior knowledge or pre-existing labels.…”
Get full text

Comparison of Bayesian Models to Estimate Survival From Dead‐Recovery Alone and Together With Live‐Encounter Data: Challenges and Opportunities by Michael Schaub, Jaume A. Badia‐Boher

“…The models evaluated do not differ in their ability to model temporal covariates but do differ for individual continuous covariates. …”
Get full text

Music literacy shapes the specialization of a right hemispheric word reading area by Alice Mado Proverbio, Elham Sanoubari

“…High-density EEG recordings and swLORETA inverse solutions were employed to analyze brain activity related to word processing and orthographic analysis. The electromagnetic signals were analyzed in the temporal window corresponding to the latency of N170 component (150–190 ms). …”
Get full text

Tracking microstructural adaptations in primary visual areas: A diffusion kurtosis imaging study on visuomotor learning by Fahad Alharshan, Abdulrahman Aloufi, Fiona Rowe, Georg Meyer

“…Increases in KA and FA post-training were not significant. BA analysis confirmed systematic training-related changes in the visual target area, while the transverse temporal gyrus, used as a control, remained stable, providing evidence for the specificity of these effects.These findings highlight DKI's ability to capture training-induced microstructural changes, complementing DTI. …”
Get full text

Evaluation of the performance of ERA5, ERA5-Land and MERRA-2 reanalysis to estimate snow depth over a mountainous semi-arid region in Iran by Faezehsadat Majidi, Samaneh Sabetghadam, Maryam Gharaylou, Reza Rezaian

“…This study evaluates the ability of three reanalysis datasets—ECMWF's ERA5, ERA5-Land and the Modern-Era Retrospective Analysis (MERRA-2)—for estimating snow depth across Iran from 1980 to 2020. …”
Get full text

Optimizing Chlorophyll-a Concentration Inversion in Coastal Waters Using SVD and Deep Learning Approach by Lili Zhan, Yongxin Xu, Jinshan Zhu, Zhangshuo Liu

“…The proposed model also shows better temporal generalization ability in 2013, 2014, and 2016 compared to the other models. …”
Get full text

Multi-task advanced convolutional neural network for robust lymphoblastic leukemia diagnosis, classification, and segmentation by Sercan Yalcin, Zuhal Cetin Yalcin, Muhammed Yildirim, Bilal Alatas

“…Additionally, the MTA-CNN’s ability to accurately localize key facial landmarks provides valuable information for further analysis, including identifying abnormal structures or changes in anatomical features associated with ALL. …”
Get full text

Evaluation of the Extreme Precipitation and Runoff Flow Characteristics in a Semiarid Sub-Basin Based on Three Satellite Precipitation Products by Rosalía López Barraza, María Teresa Alarcón Herrera, Ana Elizabeth Marín Celestino, Armando Daniel Blanco Jáquez, Diego Armando Martínez Cruz

“…Although these sensors tend to overestimate both precipitation levels and the occurrence of extreme precipitation events, their high spatial and temporal resolutions make them a reliable tool for the analysis of trends in climate change indices. …”
Get full text

Noisy neuronal populations effectively encode sound localization in the dorsal inferior colliculus of awake mice by Juan Carlos Boffi, Brice Bathellier, Hiroki Asari, Robert Prevedel

“…Nevertheless, decoding analysis supported that these noisy response patterns encode sound location on the single-trial basis, reaching errors that match the discrimination ability of mice. …”
Get full text