Travel route recommendation with a trajectory learning model by Xiangping Wu, Zheng Zhang, Wangjun Wan

“…Specifically, TLMR first employs a Position-aware Graph Neural Network to learn features of intersections from the road network, incorporating context features like weather and traffic conditions. Then, it integrates this information through neural networks to predict the next intersection. …”
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Analysis of Economic-Biological Traits of Hull-Less Barley and Creation of Source Material for Resistance to Environmental Stress Factors by L. A. Tokhetova, S. I. Umirzakov, R. D. Nurymova, B. K. Baizhanova, G. B. Akhmedova

“…The influence of the type of ripening of the variety and weather conditions of vegetation on the formation and variability of the grain yield of spring hull-less barley is shown. …”
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Next-gen agriculture: integrating AI and XAI for precision crop yield predictions by R. N. V. Jagan Mohan, Pravallika Sree Rayanoothala, R. Praneetha Sree

“…Climate change poses significant challenges to global food security by altering precipitation patterns and increasing the frequency of extreme weather events such as droughts, heatwaves, and floods. …”
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Nonlinear Failure Analysis of Critical Area of Transmission Towers Based on the Continuum Damage Theory by Nailong Zhang, Jie Chen, Chao Gao, Xiao Tan, Hongze Li

“…This research offers a novel method for investigating the failure mechanisms of transmission towers under extreme weather conditions and proposes precise reinforcement strategies.…”
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Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…In this study, a machine learning framework for agricultural yield prediction is presented. Crop information is collected in an experiment’s data set. …”
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Adaptive potential of durum wheat (Triticum durum Desf.) varieties of Azerbaijan by Kh. N. Rustamov, Z. I. Akparov, M. A. Abbasov

“…In 2012–2014, contrasting in weather conditions, levels and structure of yield were analyzed. …”
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Application of SIMETAW simulation model for prediction of climate parameters in different regions of Iran by Hooshmand Ataei, Mahsa Ravarian, Seyed Alireza Tashakori Hashemi

“…The simulation of daily weather information where there are only monthly averages is a great tool for filling out lost data. …”
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Multivariate Segment Expandable Encoder-Decoder Model for Time Series Forecasting by Yanhong Li, David C. Anastasiu

“…Accurate time series forecasting is critical in a variety of fields, including transportation, weather prediction, energy management, infrastructure monitoring, and finance. …”
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Design and Implementation of Single Axis Solar Tracking System: Utilizing GPS, Astronomical Equations, and Satellite Dish Actuator for Optimal Efficiency by Rizgar Ahmed Salih, Karzan Qadir Mohammed, Peshawa Osman Hama, Rawaz Othman Hassan, Barham Kamal Noori

“…The system has been field tested in Sulaymaniyah, Iraq, to evaluate its performance in different weather conditions and compare it with a fixed PV system. …”
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Climate change shifts risk of soil salinity and land degradation in water-scarce regions by Isaac Kramer, Nadav Peleg, Yair Mau

“…We combine a soil–water-salinity–sodicity model (SOTE) and a weather generator model (AWE-GEN) to develop a framework for studying salinity and sodicity dynamics under changing climate definitions. …”
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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…This review paper presents an in-depth analysis of deep learning (DL) models applied to traffic scene understanding, a key aspect of modern intelligent transportation systems. …”
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Novel climate analysis methods applied to the Australian ESCI projections data by Andrew Dowdy, Andrew Dowdy, Andrew Dowdy, Andrew King, Andrew King

“…Results include maps of mean values and extremes for temperature and rainfall metrics, as well as for compound events associated with dangerous bushfire weather conditions, providing new insights on climate change in Australia. …”
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Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…However, accurate forecasting of Solar Energy (SE) output remains a significant challenge due to the inherent variability and intermittency of solar irradiance (SI), which is affected by factors such as weather conditions, geographic location, and seasonal patterns. …”
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Rapid Flood Monitoring Using Sentinel-1 and Landsat-8 Images (Case study: Kashkan River, Poldakhter City) by Peyman Peymankhah, Sara Attarchi, Meysam Moharrami

“…The purpose of this research is to quickly monitor the flood of Kashkan river. The algorithm presented in this study uses time series images of Sentinel-1 and Landsat 8 along with other auxiliary data for flood monitoring in the GEE system. …”
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The Extreme-ultraviolet Precursors and Postcursors of Solar Flares by Larisza D. Krista

“…Study 2 showed that EUV precursors were present 92% of the time within 6 hr before ≥C-class flares. …”
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Physical exercise behavior characteristics and influencing factors for participation in police officers by Yuliang Feng, Chao Chen, Yang Liu, Sen Li

“…Logistic regression analysis indicated that source of police entry (OR = 1.467, 95% CI: 1.338–1.609), exercise conditions in the workplace (OR = 1.069, 95% CI: 1.051–1.088), exercise conditions near home (OR = 1.123, 95% CI: 1.047–1.205), high volume physical labor during work resulting in little time for exercise (OR = 1.372, 95% CI: 1.038–1.813), lack of organization (OR = 1.415, 95% CI: 1.164–1.720), economic condition constraints (OR = 1.439, 95% CI: 1.114–1.858), and weather restrictions (OR = 2.929, 95% CI: 2.418–3.548) were the main factors influencing police physical exercise behavior.ConclusionVarious influencing factors and the nature of actual police work presented barriers to police officers’ participation in physical exercise. …”
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Constraining Solar Wind Transport Model Parameters Using Bayesian Analysis by Mark A. Bishop, Sean Oughton, Tulasi N. Parashar, Yvette C. Perrott

“…Modeled effects present in the TTM include nonlinear turbulence interactions, shear driving, and energy injection associated with pickup-ions. …”
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Attribution of a record-breaking cold event in the historically warmest year of 2023 and assessing future risks by Yangbo Ye, Cheng Qian, Aiguo Dai, Yuting Zhang, Jiacheng Jiang, Xiaoye Zhang

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A system approach to the modeling of fungal infections of the wheat leaf by S. V. Nikolaev, U. S. Zubairova, E. S. Skolotneva, E. A. Orlova, D. A. Afonnikov

“…Mathematical models allow computational experiments to make predictions about the risk dynamics of infections in different scenarios of global weather changes. Such designation of models assumes their hierarchical structure characteristic of multilevel modeling systems. …”
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Socio-economic and environmental factors affecting breastfeeding and complementary feeding practices among Batwa and Bakiga communities in south-western Uganda. by Giulia Scarpa, Lea Berrang-Ford, Sabastian Twesigomwe, Paul Kakwangire, Maria Galazoula, Carol Zavaleta-Cortijo, Kaitlin Patterson, Didacus B Namanya, Shuaib Lwasa, Ester Nowembabazi, Charity Kesande, IHACC Research Team, Janet E Cade

“…We investigate past and present breastfeeding and complementary feeding practices within Indigenous Batwa and neighbouring Bakiga populations in south-western Uganda. …”
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