COMPARISON OF SEASONAL TIME SERIES FORECASTING USING SARIMA AND HOLT WINTER’S EXPONENTIAL SMOOTHING (CASE STUDY: WEST SUMATRA EXPORT DATA) by Lilis Harianti Hasibuan, Syarto Musthofa, Darvi Mailisa Putri, Miftahul Jannah

“…This activity usually occurs in a specific region or country. Export data is a type of data that has a seasonal pattern. …”
Get full text

Processing ambient noise using wavelet analysis tools: the Iraqi Seismological broadband Network Data at Iraqi Meteorological Organization and seismology (IMOS) by Hasanain Jasim Mohammed, Ali M. Al-Rahim

Get full text

Assessing Pedestrian Exposure to Heat via the Wet-Bulb Globe Temperature Using Mobile Phone Location Data and Urban Thermal Simulations by Yasunobu Ashie, Eiko Kumakura, Takahiro Ueno

Get full text

Fatigue crack behaviour: comparing three-point bend test and wedge splitting test data on vibrated concrete using Paris' law by S. Seitl, T. Thienpont, W. De Corte De Corte

“…In a final step, the Paris-Erdogan law parameters C and m were obtained through linear curve fitting on the data points from the obtained graphs. The parameters C and m are then used to compare and evaluate the fatigue crack behavior in vibrated concrete, and the differences between the results from the three-point bend tests and wedge splitting tests.…”
Get full text

Geometric data fitting by José L. Martínez-Morales

Get full text

Ensemble machine learning-based pre-trained annotation approach for scRNA-seq data using gradient boosting with genetic optimizer by Osama Elnahas, Waleed M. Ead, Yushan Qiu, Jian Lu

“…We propose an ensemble machine learning-based pre-trained annotation framework that integrates gradient boosting and genetic optimization for robust feature selection. The proposed method uses ensemble learning to enhance annotation accuracy under data scarcity, addressing limitations in existing supervised methods by leveraging a combination of multiple annotated datasets and feature alignment strategies. …”
Get full text

Investigating Cost Implications of Incorporating Level III At-Home Testing into a Polysomnography Based Sleep Medicine Program Using Administrative Data by Samuel Alan Stewart, Erika Penz, Mark Fenton, Robert Skomro

“…The Sleep Disorders Centre in Saskatoon, Canada, has been incorporating at-home testing into their diagnostic pathways since 2006. …”
Get full text

Using Vegetation Indices Developed for Sentinel-2 Multispectral Data to Track Spatiotemporal Changes in the Leaf Area Index of Temperate Deciduous Forests by Xuanwen Wang, Yi Gan, Atsuhiro Iio, Quan Wang

“…This study aims to explore the potential of using vegetation indices based on Sentinel-2 data, which includes three additional spectral bands in the red-edge region of its multispectral imager (MSI) sensor compared to previous satellite-borne imagery, to effectively track seasonal variations in LAI within typical cold–temperate deciduous forests originating in rugged terrain in Japan. …”
Get full text

Privacy Auditing of Lithium-Ion Battery Ageing Model by Recovering Time-Series Data Using Gradient Inversion Attack in Federated Learning by Kaspars Sudars, Ivars Namatevs, Arturs Nikulins, Kaspars Ozols

“…Although gradient inversion has been used to classify images and text data, its use in time-series is still largely unexplored. …”
Get full text

Dynamic Localized SNV, Peak SNV, and Partial Peak SNV: Novel Standardization Methods for Preprocessing of Spectroscopic Data Used in Predictive Modeling by Emily Grisanti, Maria Totska, Stefan Huber, Christina Krick Calderon, Monika Hohmann, Dominic Lingenfelser, Matthias Otto

Get full text

Assessing the impact of COVID-19 on residents’ activities using baidu heat map data: from the lockdown era to the post-pandemic era by Jinyu Zhang, Xuesheng Zhao, Dongxue Han

“…To fill this gap, we analysed and compared changes in residents’ activities across different streets and time slots from three perspectives – human activity intensity (HAI), population distribution, and daily activity patterns – using high-spatiotemporal-resolution Baidu heat map data. …”
Get full text

Monitoring Long-Term Waste Volume Changes in Landfills in Developing Countries Using ASTER Time-Series Digital Surface Model Data by Miyuki Muto, Hideyuki Tonooka

“…In this study, we developed a method for calculating the relative volume of waste at 15 landfill sites in six developing countries using time-series digital surface model (DSM) data from the satellite optical sensor, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), which has accumulated more than 20 years of observational data. …”
Get full text

Integrating human mobility and animal movement data reveals complex space-use between humans and white-tailed deer in urban environments by Szandra A. Péter, Travis Gallo, Jennifer Mullinax, Amira Roess, Gabriela Palomo-Munoz, Taylor Anderson

“…Temporal analysis showed deer avoiding commercial spaces during daytime but using them in late evening and early morning. These findings highlight the complex space use between species and the importance of integrating detailed human mobility and animal movement data when managing wildlife–human conflict and zoonotic disease transmission, particularly in urban areas with a high probability of deer–human interactions.…”
Get full text

Development of Novel Soil Salinity Spectral Index Using Remotely Sensed Data: A Case Study on Balod District, Chhattisgarh, India by Deshpande Vaibhav Prakashrao, Ahmad Ishtiyaq, Singh Chandan Kumar

“…Soil salinity is a known phenomenon worldwide. It has a substantial influence on crop productivity and environmental well-being. …”
Get full text

Text Mining for Consumers’ Sentiment Tendency and Strategies for Promoting Cross-Border E-Commerce Marketing Using Consumers’ Online Review Data by Changting Liu, Tao Chen, Qiang Pu, Ying Jin

Get full text

A mathematical framework for estimating pathogen transmission fitness and inoculum size using data from a competitive mixtures animal model. by James M McCaw, Nimalan Arinaminpathy, Aeron C Hurt, Jodie McVernon, Angela R McLean

“…We observe the mixture in each animal over time and over multiple generations of transmission. We use data from influenza experiments in ferrets to demonstrate the approach. …”
Get full text

SincVAE: A new semi-supervised approach to improve anomaly detection on EEG data using SincNet and variational autoencoder by Andrea Pollastro, Francesco Isgrò, Roberto Prevete

“…However, the challenge of accurately labeling variations in epileptic electroencephalography waveforms complicates the use of these approaches. Additionally, the rarity of ictal events introduces a high imbalance within the data, which could lead to poor prediction performance in supervised learning approaches. …”
Get full text

Graduate Student Literature Review: The use of integrated sensor data for the detection of hyperketonemia in pasture-based dairy systems during the transition period by Pia F. Benedetti Vallenari, Ian Hunt, Brian Horton, Michael Rose, Sarah Andrewartha

“…Research is beginning to focus on the analysis of multiple sensors together as a sensor system, discovering the potential for these technologies to be a valuable aid in decision making and farm management. Of the studies that use sensors to predict and manage disease in dairy cows, few studies use data integration (the process of combining data from multiple sensors which in turn improves model accuracy), highlighting a gap in the literature. …”
Get full text

Roll/Tip-Over Risk Analysis of Agricultural Self-Propelled Machines Using Airborne LiDAR Data: GIS-Based Approach by Daniele Puri, Leonardo Vita, Davide Gattamelata, Valerio Tulliani

“…In such a context, while great attention has been paid to machinery safety improvement, a major challenge is the lack of studies addressing the analysis of the work environment to provide farmers with precise information on field slope steepness. …”
Get full text

Potentials and Limitations of Using Sentinel Data for Power System Operation and Control: Case Study of Protection Against Forest Fires and Aerosol Contamination by Amalija Božiček, Božidar Filipović-Grčić, Bojan Franc, Davor Škrlec, Frano Tomašević

“…Satellite data also enable the use of additional data that are not measured at ground stations.…”
Get full text