Comparative Analysis of Multi-Resolution Remote Sensing Data for Accurate Road Segmentation in Urban Environments by M. R. Çevikalp, B. Mutlu, M. Yanalak, N. Musaoğlu

“…Ground truth data from the Google Maps API were used for validation. …”
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Investigating Therapeutic Targets for Alcohol Use Disorder: Pharmacological View of ClinicalTrials.gov Data by Alorfi NM

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Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective by Shirui Yu, Aihua Li, Yifei Chen, Dechao Wang, Xiaoli Tang

“…Background: Heterogeneous network-based methods are powerful analytical tools for many real-world data mining tasks in biomedical field. The specific aim of this survey is to examine the representative algorithms used in heterogeneous network data mining tasks and concentrate on biomedical domain to analyze the application of these techniques in the real world. …”
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A Comprehensive Review of the Main Heavyweight and Lightweight SDLC for Big Data Analytics Systems (BDAS) by David Alejandro Montoya-Murillo, Sergio Galvan-Cruz, Manuel Mora, Estela Lizbeth Munoz Andrade

“…Big Data Analytics Systems (BDAS) are software systems developed with descriptive, predictive, or prescriptive decision-making purposes, and currently are implemented in diverse domains – i.e. …”
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Geo-parsing and analysis of road traffic crash incidents for data-driven emergency response planning by Patricia Ojonoka Idakwo, Olubayo Adekanmbi, Anthony Soronnadi, Amos David

“…Our study showcases the use of the RTC NER model in IE from RTC-related reports for analysis aimed at identifying RTC risk areas for data-driven emergency response planning.…”
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Flood Risk Forecasting: An Innovative Approach with Machine Learning and Markov Chains Using LIDAR Data by Luigi Bibbò, Giuliana Bilotta, Giuseppe M. Meduri, Emanuela Genovese, Vincenzo Barrile

“…Future research could investigate incorporating additional data and AI techniques to improve accuracy.…”
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A functional data analysis approach for modelling frequency‐modulated tonal sounds in animal communication by Maria Silvia Labriola, Petra Oswine Pammer, Giulia Pedrazzi, Giancarlo Giacomini, Giovanna Jona Lasinio, Daniela Silvia Pace

“…However, most studies aimed at investigating acoustic variability rely on the manual measurement of acoustic parameters, and the implementation of multivariate techniques, which represent only partially sound FM. …”
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Predictors of successful microvascular decompression surgery in patients with classical trigeminal neuralgia according to the neuroimaging data by A. F. Alzeeralhouseini, G. I. Moisak, E. A. Filimonova, J. A. Rzaev

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Spatial prediction of landslide susceptibility using the data-mining algorithm (case study: Kamyaran county) by Osama Ashraf Mohammed, Hemn Kamal Hamaamin, Jwanro Azad, Sabri Rasooli, Houzhi Li

“…Identification and classification of regions susceptible to landslides are crucial components of environmental risk evaluation and play a significant role in watershed management.MethodsThe aim of this study is to assess the spatial susceptibility of landslides utilizing sophisticated data mining techniques in the Kamyaran County, Iran. …”
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The manifestation of VIS-NIRS spectroscopy data to predict and mapping soil texture in the Triffa plain (Morocco) by Ayoub Lazaar, Biswajeet Pradhan, Zakariae Naiji, Abdelali Gourfi, Kamal El Hammouti, Karim Andich, Abdelilah Monir

“…The partial least squares regression (PLSR) technique was used to assess the ability of spectral data to predict soil texture. …”
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Machine Learning to Select Experiments Driven by Fundamental Science and Applications for Targeted Nuclear Data Improvement by D. Neudecker, T. E. Cutler, M. Devlin, P. Brain, N. Gibson, M. J. Grosskopf, M. W. Herman, J. Hutchinson, T. Kawano, A. Khatiwada, N. Kleedtke, E. Leal-Cidoncha, R. C. Little, A. E. Lovell, A. Stamatopoulos, E. C. Thompson, S. A. Vander Wiel, E. Williamson

“…We apply this process within the framework of nuclear data with the aim to select an experiment combination that will reduce uncertainties in ^{239}Pu nuclear data for neutron energies between 1 and 600 keV. …”
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Estimating the burden of underdiagnosis within England: A modelling study of linked primary care data. by Olga Anosova, Anna Head, Brendan Collins, Alexandros Alexiou, Kostas Darras, Matt Sutton, Richard Cookson, Laura Anselmi, Martin O'Flaherty, Ben Barr, Chris Kypridemos

“…We then applied small-area estimation techniques to derive underdiagnosis estimates for health planning areas (CCGs).…”
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A non-invasive prediction model for coronary artery stenosis severity based on multimodal data by Jiyu Zhang, Jiatuo Xu, Liping Tu, Tao Jiang, Yu Wang, Jijie Xu

“…By combining diverse data sources and advanced machine learning techniques, the model offers a clinically viable alternative to invasive diagnostic methods. …”
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High-precision lung cancer subtype diagnosis on imbalanced exosomal data via Exo-LCClassifier by Siyu Zhan, Siyu Zhan, Hao Yu, Shuang Liu, Ke Qin, Lu Guo

“…Our solution integrates three advanced techniques: (1) DESeq2 for differential expression analysis, (2) WGAN for data augmentation, and (3) 1D CNN for feature learning and classification. …”
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GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detectionMendeley Data by Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Kamrul Hassan Shakil, Aka Das, Khalid Been Badruzzaman Biplob, Imran Mahmud, Syed Md. Minhaz Hossain

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Soil Salinity Detection and Mapping by Multi-Temporal Landsat Data: Zaghouan Case Study (Tunisia) by Karem Saad, Amjad Kallel, Fabio Castaldi, Thouraya Sahli Chahed

“…For these purposes, this work aims to propose a spatiotemporal method for monitoring soil salinization using spectral indices derived from Earth observation data. …”
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UrduSER: A comprehensive dataset for speech emotion recognition in Urdu languageMendeley Data by Muhammad Zaheer Akhtar, Rashid Jahangir, QuratUl Ain, Muhammad Asif Nauman, Mueen Uddin, Syed Sajid Ullah

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Survey of parasitic fauna data from wild animals through coproparasitological diagnosis in Southern Brazil by Julia Somavilla Lignon, Diego Moscarelli Pinto, Tamires Silva dos Santos, Giulia Ribeiro Meireles, Camila Gonçalves da Silveira, Bianca Conrad Bohm, Felipe Geraldo Pappen, Silvia Gonzalez Monteiro, Mauro Pereira Soares, Raqueli Teresinha França, Fábio Raphael Pascoti Bruhn

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Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation by Caroline Bönisch, Christian Schmidt, Dorothea Kesztyüs, Hans A Kestler, Tibor Kesztyüs

“…ObjectiveThis study aims to demonstrate the varying quality of medical data in primary clinical source systems at a maximum care university hospital and provide researchers with insights into data reliability through predictive quality algorithms using machine learning techniques. …”
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Association of IL-17A levels with immuneinflammatory profile and structural MRI data in patients with schizophrenia by I. K. Malashenkova, V. L. Ushakov, S. A. Krynskiy, D. P. Ogurtsov, N. A. Khailov, A. Yu. Ratushnyy, E. I. Chekulaeva, N. V. Zakharova, G. P. Kostyuk, N. A. Didkovsky

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