Assessing the Fidelity and Utility of Water Systems Data Using Generative Adversarial Networks: A Technical Review by Md Nazmul Kabir Sikder, Yingjie Wang, Feras A. Batarseh

“…This limited access is further exacerbated by the reluctance of WDSs operators to share data. Driven by the absence of standard mandates, resource constraints, privacy and security concerns, and legal challenges, access to big data has been a challenge in the water scientific community. …”
Get full text

Quantifying nocturnal thrush migration using sensor data fusion between acoustics and vertical‐looking radar by Silvia Giuntini, Juha Saari, Adriano Martinoli, Damiano G. Preatoni, Birgen Haest, Baptiste Schmid, Nadja Weisshaupt

“…The overall estimated thrush autumn migration phenology was in line with known migratory patterns and strongly correlated (Pearson correlation coefficient ≈0.65) with the phenology of the acoustic data. These results confirm how the joint application of acoustic and vertical‐looking radar data can, under certain migratory conditions and locations, be used to quantify ‘family‐level’ bird migration.…”
Get full text

Detection of Geological Structures in the Gol Gohar Mining Iron Ore Area Using Airborne Magnetic Data by Abdullah Ezam Ahmady, Abdolhamid Ansari, Seyyed Hossein Mojtahedzadeh

Get full text

Visual Route Recognition in Urban Spaces: A Scalable Approach Using Open Street View Data by Menglin Wu, Qingren Jia, Anran Yang, Zhinong Zhong, Mengyu Ma, Luo Chen, Ning Jing

Get full text

Simulation of snow accumulation and melting in the Kama river basin using data from global prognostic models by S. V. Pyankov, A. N. Shikhov, P. G. Mikhaylyukova

“…According to the GEM model, snow storages were overestimated by 10–25%. When calculating with use of the GFS model data, a lot of local maximums and minimums are detected in the field of snow storages, which are not confirmed by the data of weather stations. …”
Get full text

Assessing the political vulnerability of National Parks in sub‐Saharan Africa using data on digital trends and engagement by Karoline Azevedo, Fernanda Alves‐Martins, Javier Martinez‐Arribas, Ricardo A. Correia, Ana C. M. Malhado, Richard Ladle

Get full text

Generation of Synthetic Density Log Data Using Deep Learning Algorithm at the Golden Field in Alberta, Canada by Sungil Kim, Kwang Hyun Kim, Baehyun Min, Jungtek Lim, Kyungbook Lee

“…After securing the data, 5 wells among the 29 wells are excluded from dataset during preprocessing procedures (elimination of abnormal data and min–max normalisation) to improve the prediction model. …”
Get full text

New insights into Earth’s mantle conductivity and water distribution using Macau Science Satellite-1 data by ZhengYong Ren, YiFei Xie, ChaoJian Chen, HongBo Yao, JingTian Tang, Keke Zhang

“…To this aim, we introduce a method for using MSS-1 data to estamate induced magnetic fields related to magnetospheric currents. …”
Get full text

Urban ecological environment quality evaluation using deep autoencoder integration of multisource remote sensing data by Shengtang Wang, Weizhen Wang, Feinan Xu

“…To address challenges, we develop a novel deep autoencoder-based framework that integrates multi-source remote sensing data to evaluate UEEQ dynamics systematically and identify its key driving factors. …”
Get full text

Predicting the risk of depression in older adults with disability using machine learning: an analysis based on CHARLS data by Tongtong Jin, Ayitijiang· Halili

“…This study systematically developed machine learning (ML) models to predict depression risk in disabled elderly individuals using longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS), providing a potentially generalizable tool for early screening.MethodsThis study utilized longitudinal data from the CHARLS 2011–2015 cohort. …”
Get full text

Differential Diagnosis of Jejunum and Ileum Tumours Based on Video Capsule Endoscopy Data Using Mathematical Analysis by E. D. Fedorov, E. V. Ivanova, S. E. Rauzina, D. E. Seleznev, A. V. Budykina

“…Using a Bayesian heterogeneous diagnostic procedure and the calculation of diagnostic factors, a three-level algorithm has been developed for the differential diagnosis of jejunum and ileum lesions.Conclusions. …”
Get full text

Unveiling Multi‐Scale Architectural Features in Single‐Cell Hi‐C Data Using scCAFE by Fuzhou Wang, Jiecong Lin, Hamid Alinejad‐Rokny, Wenjing Ma, Lingkuan Meng, Lei Huang, Jixiang Yu, Nanjun Chen, Yuchen Wang, Zhongyu Yao, Weidun Xie, Ka‐Chun Wong, Xiangtao Li

“…Abstract Single‐cell Hi‐C (scHi‐C) has provided unprecedented insights into the heterogeneity of 3D genome organization. …”
Get full text

Assessment of antenatal care quality in Ethiopia: Facility-based study using service provision assessment data. by Addisu Alehegn Alemu, Alec Welsh, Theodros Getachew, Marjan Khajehei

“…Our aim was to assess the quality of ANC and its associated factors in Ethiopia.<h4>Methods</h4>We used data from 2,042 pregnant women whose first ANC consultation was observed. …”
Get full text

Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

“…Geographic differences in access to better water sources were found through spatial analysis, with rural areas being the most impacted. Using machine-learning algorithms, specifically Random Forest, has yielded significant insights into the factors influencing Ethiopia’s unimproved water supply. …”
Get full text

Implementation of ultra-hypofractionated radiotherapy for breast cancer in the Netherlands in 2020–2023, using registry data and questionnaires by Anouk H. Eijkelboom, Eva J. A. van Beek, Marcel R. Stam, Paulien Westhoff, Marissa C. van Maaren, Margriet G. A. Sattler, Enja J. Bantema-Joppe, Marcel Verheij, Desirée H. J. G. van den Bongard, Sabine Siesling, on behalf of the NABON-COVID-19 Consortium and the COVID and Cancer-NL Consortium

“…Methods Registry and questionnaire data were used. Registry data included data from the Netherlands Cancer Registry and the NABON Breast Cancer Audit-Radiotherapy (NBCA-R). …”
Get full text

Estimating Soybean Yields Using Causal Inference and Deep Learning Approaches With Satellite Remote Sensing Data by Fumin Wang, Jiale Li, Dailiang Peng, Qiuxiang Yi, Xiaoyang Zhang, Jueyi Zheng, Siting Chen

“…However, traditional machine learning methods rely on data correlation rather than causality, leading to poor interpretability. …”
Get full text

An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…Therefore, the study presents an Exploratory Analysis of Longitudinal Artificial Intelligence for Cognitive Fatigue Detection Using Neurophysiological Based Biosignal Data (EALAI-CFDNBD) approach. …”
Get full text

Built environment and residential blocks carbon emissions: a study using advanced metering infrastructure data by Xiaoping Zhang, Xiaoping Zhang, Zixuan Cui, Chaoxian Feng, Xin Wen, Huabin Xiao, Jianbo Ni

Get full text

Improving Surgical Site Infection Prediction Using Machine Learning: Addressing Challenges of Highly Imbalanced Data by Salha Al-Ahmari, Farrukh Nadeem

“…<b>Objectives</b>: The aim of this study is to evaluate and enhance the predictive capabilities of machine learning models for SSIs by assessing the effects of feature selection, resampling techniques, and hyperparameter optimization. <b>Methods</b>: Using routine SSI surveillance data from multiple hospitals in Saudi Arabia, we analyzed a dataset of 64,793 surgical patients, of whom 1632 developed SSI. …”
Get full text

Predictive Model for <i>Listeria monocytogenes</i> in RTE Meats Using Exclusive Food Matrix Data by N. A. Nanje Gowda, Manjari Singh, Gijs Lommerse, Saurabh Kumar, Eelco Heintz, Jeyamkondan Subbiah

“…The training growth rates were used to develop a secondary gamma model, followed by validation in testing data. …”
Get full text