Unsupervised semantic label generation in agricultural fields by Gianmarco Roggiolani, Julius Rückin, Marija Popović, Jens Behley, Cyrill Stachniss, Cyrill Stachniss

“…Using our generated labels to train deep learning models boosts our prediction performance on previously unseen fields with respect to unseen crop species, growth stages, or different lighting conditions. …”
Get full text

A long neglected world malaria map: Plasmodium vivax endemicity in 2010. by Peter W Gething, Iqbal R F Elyazar, Catherine L Moyes, David L Smith, Katherine E Battle, Carlos A Guerra, Anand P Patil, Andrew J Tatem, Rosalind E Howes, Monica F Myers, Dylan B George, Peter Horby, Heiman F L Wertheim, Ric N Price, Ivo Müeller, J Kevin Baird, Simon I Hay

“…The model incorporated data on Duffy negative phenotype frequency to suppress endemicity predictions, particularly in Africa. …”
Get full text

Multi-objective Optimization of Window and Shading Systems for Enhanced Office Building Performance: A Case Study in Qom, Iran by Mohammad Hassan Abedini, Hanieh Gholami, Hamed Sangin

“…Conducted in the hot desert climate of Qom, the research employs advanced simulation tools, including Rhino 8 integrated with Grasshopper, Honeybee, and Ladybug, to model and evaluate shading strategies. A multi-objective optimization (MOO) approach was applied to enhance four key metrics: Thermal Comfort Percent (TCP), Energy Use Intensity (EUI), Annual Sunlight Exposure (ASE), and Spatial Daylight Autonomy (sDA). …”
Get full text

Parallel region growing of half-tone images based on selected average brightness of the area along the growth route by V. Yu. Tsviatkou

Get full text

L’activité réflexive des agents de terrain lors d’un dispositif de formation hybride qui intègre de la réalité virtuelle by Artémis Drakos, Jacques Theureau, Geneviève Filippi, Simon Flandin, Germain Poizat

“…Designed by the researchers and a trainer, this device, known as scenario-inquiry, is intended to help trainees gain an understanding of the spatial and functional characteristics of a complex industrial building, essential knowledge for their future job as field operators. …”
Get full text

Driving towards net-zero: the impact of electric vehicle flexibility participation on a future Norwegian electricity system by Tobias Verheugen Hvidsten, Maximilian Roithner, Fred Espen Benth, Marianne Zeyringer

“…This work presents a modelling study of the Norwegian electricity system using the high spatial and temporal resolution electricity system model (highRES). …”
Get full text

Research on Location Planning of Battery Swap Stations for Operating Electric Vehicles by Pengcheng Ma, Shuai Zhang, Bin Zhou, Wenqi Shao, Haowen Li, Tengfei Ma, Dong Guo

“…The article proposes a vehicle power exchange demand-oriented power exchange station siting planning scheme to meet the rapid replenishment demand of operating vehicles in urban areas. The spatial and temporal distribution of power exchange demand is predicted by considering the operation law, driving law, and charging decision of drivers; the candidate sites of power exchange stations are determined based on the data of power exchange demand; the optimization model of the site selection of power exchange stations with the lowest loss time of vehicle power exchange and the lowest cost of the planning and construction of power exchange stations is established and solved by using the joint algorithm of MLP-NSGA-II; and the optimization model is compared with the traditional genetic algorithm (GA) and the Density Peak. …”
Get full text

Association of Antibiotic Resistance Traits in Uropathogenic Escherichia coli (UPEC) Isolates by Md. Mostafizer Rahman, Mridha Md. Kamal Hossain, Rubaya Rubaya, Joyanta Halder, Md. Ekramul Karim, Anjuman Ara Bhuiya, Anwara Khatun, Jahangir Alam

“…However, these findings might have important implications for the development of an AMR prediction model to tackle future AMR outbreaks.…”
Get full text

Energy-dependent Transport of Cosmic Rays in the Multiphase, Dynamic Interstellar Medium by Lucia Armillotta, Eve C. Ostriker, Nora B. Linzer

“…To interpret these numerical results, we develop a two-zone analytic model that captures and links the two (physically and spatially) distinct regimes of CR transport in the multiphase, dynamic ISM. …”
Get full text

Research on High-Quality Urbanization Development and Optimization Pathways Based on the Coupling Coordination Perspective of “Population–Land–Economy–Environment”: A Case Study of... by Siyuan Huang, Yaoben Lin

“…Using a coupling coordination model, we analyze the temporal and spatial evolution, coupling relationships, and optimization of urbanization in the province. …”
Get full text

Rugged terrain and rigid hierarchy by Gen Tsudaka, Margaux N.A. Wienk, Jana B. Berkessel, Cynthia Boo

“…In Study 1 (78 countries; N = 156,658), we combined cross-national survey data from the European Values Study/World Values Survey with digital elevation models. Results demonstrated that national preferences for military rule and for a strong leader (who bypasses democratic processes) were higher in countries with more rugged terrain, even after controlling for economic factors, demographic indices, and spatial autocorrelation. …”
Get full text

Analysis of temperature field evolution in ground freezing construction of twin tunnels in a coastal urban area by Tingfen Ye, Jun Hu, Jie Zhou, Huajing Gan, Lei Huang, Xinmin Shang

“…However, in the case of twin-tunnel (or two-lane tunnel) projects, accurately predicting the temperature field during the freezing process remains a critical challenge. …”
Get full text

Deciphering the Social Vulnerability of Landslides Using the Coefficient of Variation-Kullback-Leibler-TOPSIS at an Administrative Village Scale by Yueyue Wang, Xueling Wu, Guo Lin, Bo Peng

“…By comparing the actual losses incurred per unit area from landslides, it is found that the social vulnerability results predicted by the <i>CV-KL-TOPSIS</i> model are more consistent with the actual survey results. …”
Get full text

Using unmanned aerial vehicles to estimate body volume at scale for ecological monitoring by Thomas C. Stone, Katrina J. Davis

“…Abstract Demographic data are essential to construct mechanistic models to understand how populations change over time and in response to global threats like climate change. …”
Get full text

Evolution of the ecological security pattern of the Yellow River Basin based on ecosystem services: a case study of the Shanxi section, China by Jinfang Wang, Zhihong Lv, Zhilei Zhen, Qian Wu

“…Identifying and evaluating the ecological security pattern (ESP) of region can provide a solid foundation for optimizing regional ecosystem elements and improving regional ecological security. The PLUS model, InVEST model, and circuit theory were used to analyze the ecosystem services and ESP of the Shanxi section of the Yellow River Basin (SYRB) between 2005 and 2035. …”
Get full text

Estimating latent heat flux of subtropical forests using machine learning algorithms by Harekrushna Sahu, Pramit Kumar Deb Burman, Palingamoorthy Gnanamoorthy, Qinghai Song, Yiping Zhang, Huimin Wang, Yaoliang Chen, Shusen Wang

“…This study highlights the robustness of support vector regression and accentuates the impact of climatic and environmental conditions on model performance, ultimately contributing to more precise predictions of latent heat flux.…”
Get full text

Climate-driven hydrological sensitivity in Estonian catchments: a northern temperate perspective by Oliver Koit, Joonas Pärn, Marlen Hunt, Siim Tarros, Elve Lode, Pamela Abreldaal

“…Key findings include diverse catchment sensitivities to groundwater recharge, the role of baseflow in streamflow stabilization, the memory effect in catchment responses, and insights from the flow duration curve on flow variability and extremes. The LightGBM model, predicting focus parameters, highlights the critical influence of air temperature and snowpack on streamflow characteristics. …”
Get full text

Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope by S. Uhlemann, L. Peruzzo, C. Chou, K. H. Williams, S. Wielandt, C. Wang, N. Falco, Y. Wu, B. Carr, P. Meldrum, J. Chambers, B. Dafflon

“…Abstract Predicting the hydrological response of watersheds to climate disturbances requires a detailed understanding of the processes connecting hillslopes and streams. …”
Get full text

The Intentional and Unintentional Human Food Subsidy Landscape for a Large Carnivore by Matthew M. Smith, David M. MacFarland, Jennifer L. Price Tack, Jonathan N. Pauli

“…We then predicted a human subsidy landscape that explored the spatial variation between intentional and unintentional sources and modeled the relationship between human food subsidies and conflict. …”
Get full text

Brittleness evaluation of main coal seams in Permian Taiyuan-Shanxi formations, Baode block, Ordos Basin: based on a convolutional neural network method by Qingfeng ZHANG, Ziling LI, Jikun ZHANG, Shuai HAO, Xiaoguang SUN, Yanjie SHANG, Yun ZUO

“…The results indicated that CNN-based predictions of rock mechanical parameters had good applicability for coal-bearing layers. …”
Get full text