Unraveling trends in schistosomiasis: deep learning insights into national control programs in China by Qing Su, Cici Xi Chen Bauer, Robert Bergquist, Zhiguo Cao, Fenghua Gao, Zhijie Zhang, Yi Hu

Get full text

Performance Analysis of Wireless Location and Velocity Tracking of Digital Broadcast Signals Based on Extended Kalman Filter Algorithm by Yukai Hao, Xin Qiu

“…Simulation and experimental data analysis show that the algorithm can effectively weaken the influence of NLOS error. …”
Get full text

Analysis of the Time of Dew Occurrence on the DCDB Panel at PLN GIS 150 kV Gunungsari Surabaya by Arum Vonie Rachmawati, Satya Cantika Agustinur, Rio Indralaksono, Kinanta Syahriannanda, I Made Niantara Riandana, Andu Mahdy Alim, Meta Yantidewi, Dzulkiflih Dzulkiflih

Get full text

Integration of UAV Multispectral Remote Sensing and Random Forest for Full-Growth Stage Monitoring of Wheat Dynamics by Donghui Zhang, Hao Qi, Xiaorui Guo, Haifang Sun, Jianan Min, Si Li, Liang Hou, Liangjie Lv

“…The random forest model exhibited superior predictive accuracy, with a mean squared error (MSE) significantly lower than that of traditional regression models, particularly during the flowering and ripening stages, where the prediction error for plant height was less than 1.01 cm. …”
Get full text

U-SeqNet: learning spatiotemporal mapping relationships for multimodal multitemporal cloud removal by Qian Zhang, Xiangnan Liu, Tao Peng, Xiao Yang, Mengzhen Tang, Xinyu Zou, Meiling Liu, Ling Wu, Tingwei Zhang

“…However, cloud cover significantly hampers data analysis and interpretation. Despite synthetic aperture radar (SAR)-to-optical image translation techniques emerging as a promising solution, their effectiveness is diminished by their inability to adequately account for the intertwined nature of temporal and spatial dimensions. …”
Get full text

The Design, Creation, Implementation, and Study of a New Dataset Suitable for Non-Intrusive Load Monitoring by Carlos Rodriguez-Navarro, Francisco Portillo, Francisco G. Montoya, Alfredo Alcayde

“…This study introduces several key contributions: (1) the development of five new converters with 13-digit timestamp support and harmonic inclusion, improving the data collection accuracy by up to 25%; (2) the implementation of an advanced disaggregation software, achieving a 10–15% increase in the F1-score for certain appliances; (3) a detailed analysis of harmonics’ impact on NILM, reducing the Mean Normalized Error in Assigned Power by up to 40%; and (4) the design of open-source measurement hardware to enhance reproducibility. …”
Get full text

Significant contribution of bias correction methods to uncertainty in future runoff projections under CMIP6 climate change by Seung Taek Chae, Eun-Sung Chung

“…The normalized Nash-Sutcliffe efficiency (NNSE), normalized root mean square error (NRMSE), Kling-Gupta efficiency (KGE), and modified index of agreement (MD) were used to evaluate the performance of the GCMs’ climate simulations and the SWMM runoff simulations, which were based on the GCMs’ climate data. …”
Get full text

SPATIAL ANALYSIS IN CONSERVATION SITU IN BANTEN PROVINCE: CASE STUDY OF SITU KADUPAYUNG, PANDEGLANG REGENCY, BANTEN by Isvan Taufik, Endang Sudrajat, Meysa Cahya Gemilang

“…There are 2 (two) factors that can cause large differences between Goods Inventory Card (KIB) data, namely 1) Internal Factors: Measurement techniques used (methods and tools); Errors in inputting measurement results data; 2) External Factors: Natural Factors, namely sedimentation, and Non-Natural Factors (Society). …”
Get full text

Resolving Rapid Radiation of Voles and Lemmings (Arvicolinae: Cricetinae, Rodentia) with QuaddRAD Sequencing and Transcriptome Analysis by Natalia Abramson, Elizaveta Skalon, Olga Bondareva, Semen Bodrov, Tatyana Petrova, Ivan Dvoyashov

“…Both the transcriptome and quaddRAD-seq data convincingly place <i>Arvicola</i> as the earliest derivative within Arvicolini. …”
Get full text

Automatic Recognition and Replacement of Cyclic Redundancy Checks for Program Optimization by Mariam Arutunian, Sevak Sargsyan, Matevos Mehrabyan, Lilit Bareghamyan, Hayk Aslanyan

Get full text

Assimilation of the total electron content obtained from GNSS to a model of the ionosphere using a hierarchical Bayesian network by Tang Jun, Hu Jiacheng, Zhang Wei, Fan Cihang, Zhou Qiangbo

“…Ionospheric data assimilation aims to address the uneven spatiotemporal distribution of observational data and errors in numerical models. …”
Get full text

Corn Plant In-Row Distance Analysis Based on Unmanned Aerial Vehicle Imagery and Row-Unit Dynamics by Marko M. Kostić, Željana Grbović, Rana Waqar, Bojana Ivošević, Marko Panić, Antonio Scarfone, Aristotelis C. Tagarakis

“…The Mask R-CNN model demonstrated the highest recognition reliability at 96.7%, excelling in detecting seeding errors such as misses and doubles, as well as in evaluating the quality of feed index and precision when compared to ground-truth data. …”
Get full text

Optimization of kinematic parameters of continuous miner based on LS-DYNA simulation analysis and NSGA-II algorithm by Xunan Liu, Yiming Liu, Faquan Li, Yanpeng Zhang, Jianyong Wang, Lianwei Ma

Get full text

Sensitivity Analysis on the Impact of Input Parameters on Seismic Hazard Results: A Case Study of Central America by Carlos Gamboa-Canté, Mario Arroyo-Solórzano, Alicia Rivas-Medina, Belén Benito

“…Finally, it is shown that the GMM contributes the most variability to seismic hazard results; therefore, their selection should be conditioned on calibration with observed data through residual analysis where region-specific models are not available.…”
Get full text

A multidimensional machine learning framework for LST reconstruction and climate variable analysis in forest fire occurrence by Hatef Dastour, Quazi K. Hassan

Get full text

Analysis of medical exposure levels of the Russian Federation population in 2023 using the updated form No. 3–DOZ by A. V. Vodovatov, E. A. Kosarlukova, A. M. Biblin, R. R. Akhmatdinov, A. A. Bratilova

Get full text

Hydrodynamics and Mixing analysis of different bed materials with coal in an industrial scale bubbling fluidized bed boiler by Swaroop Jena, Vasujeet Singh, Pruthiviraj Nemalipuri, Harish Chandra Das, Malay Kumar Pradhan, Vivek Vitankar, Tapano Kumar Hotta

“…Advancements in computational methods are driving the growth of Computational Fluid Dynamics (CFD) simulations for industrial fluidized bed boilers. Errors in 2D simulations arise from limited data, inadequate representation of complex multiphase physics, and scale-up challenges in lab setups. …”
Get full text

Visual Impairment Prevalence, Causes, and Role of Healthcare Access: A Systematic Review and Meta-Analysis in Iran by Mehrdad Afarid, Hossein Molavi Vardanjani, Hamideh Mahdaviazad, Marzieh Alamolhoda, Saman Farahangiz

“…Methods: This systematic review and meta-analysis include observational studies published in Iran. …”
Get full text

Assessing the reliability of automatic sentiment analysis tools on rating the sentiment of reviews of NHS dental practices in England. by Matthew Byrne, Lucy O'Malley, Anne-Marie Glenny, Iain Pretty, Martin Tickle

“…<h4>Background</h4>Online reviews may act as a rich source of data to assess the quality of dental practices. Assessing the content and sentiment of reviews on a large scale is time consuming and expensive. …”
Get full text

Analysis of demand forecasting for Madura herbal medicine Rapet Wangi (Case study: PT. Firdaus Kurnia Indah) by Asfan Dian Farida, Ghooniyah Indriana Mahrotul, Maflahah Iffan

“…The results of the forecasting analysis that will be selected are the forecasting results with the smallest MAD (Mean Absolute Deviation), MSE (Mean Square Error) and MAPE (Mean Absolute Percentage Error). …”
Get full text