Assessment of a service-learning project experience in mobility and spatial data by Emilio Ortega, Belén Martín, María Eugenia López-Lambas, Cristina Jorquera

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Construction of medical scientific data repositories in China: analysis of survey and recommendations by Jia Song, Jia Song, Chunqiu Li, Wirapong Chansanam

“…BackgroundIn the context of global open science trends, medical open-access repositories (OARs) promote transparency in research and facilitate the sharing of scientific data. The increase in scientific output necessitates a robust infrastructure to enhance OARs in China.ObjectivesThis study aimed to evaluate medical open-access repositories (OARs) in China that are indexed in re3data.org and OpenDOAR.org. …”
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The Use of Earth Observation Data for Railway Infrastructure Monitoring—A Review by Milan Banic, Danijela Ristic-Durrant, Milos Madic, Alina Klapper, Milan Trifunovic, Milos Simonovic, Szabolcs Fischer

“…This paper aims to bridge this gap as it presents a comprehensive review of the use of satellite data in railway applications, with a particular focus on the underexplored potential of EO data. …”
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Balinese text-to-speech dataset as digital cultural heritageMendeley Data by I Gusti Agung Gede Arya Kadyanan, Ngurah Agus Sanjaya ER, Anak Agung Istri Ngurah Eka Karyawati, I Gede Ngurah Arya Wira Putra, ⁠I Made Suma Gunawan, Ni Made Julia Budiantari, Hana Christine Octavia

“…Data was collected by recording the voices of native Balinese speakers using the Badung dialect. …”
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Generative AI-Enhanced Cybersecurity Framework for Enterprise Data Privacy Management by Geeta Sandeep Nadella, Santosh Reddy Addula, Akhila Reddy Yadulla, Guna Sekhar Sajja, Mohan Meesala, Mohan Harish Maturi, Karthik Meduri, Hari Gonaygunta

“…This study presents a Generative AI-Enhanced Cybersecurity Framework designed to strengthen enterprise data privacy management while improving threat detection accuracy and scalability. …”
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Assessing the representativeness of large medical data using population stability index by Sheng-Chieh Lu, Wenye Song, Andre Pfob, Chris Gibbons

“…In this study, we aimed to examine the capability of population stability index (PSI), a popular metric to assess data drift for artificial intelligence studies, in detecting sample differences using population-based data. …”
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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…This research aims to assess system stability by analyzing the correlation between cumulative agricultural operations (Agr.Ops) and air temperature data variability.MethodsThe methodology involved collecting air temperature data from IoT sensors in the CEA system throughout lettuce cultivation trials. …”
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Evaluation and application analysis of animal models of PIPNP based on data mining by Yu Jun, Jin Shengbo, Piao Haozhe, Li Mingzhu

“…The aim of this study is to systematically retrieve, synthesize, and assess methodologies employed in the development of paclitaxel-induced peripheral neuropathic pain (PIPNP) animal models, with the objective of optimizing protocols for model construction and evaluation. …”
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Harmonizing remote sensing and ground data for forest aboveground biomass estimation by Ying Su, Zhifeng Wu, Xiaoman Zheng, Yue Qiu, Zhuo Ma, Yin Ren, Yanfeng Bai

“…This study highlights the potential of combining heterogeneous data sources with machine learning techniques, providing a scalable solution for future forest monitoring tasks.…”
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Leveraging environmental microbial indicators in wastewater for data-driven disease diagnostics by Gayatri Gogoi, Gayatri Gogoi, Sarangthem Dinamani Singh, Sarangthem Dinamani Singh, Devpratim Koch, Devpratim Koch, Emon Kalyan, Rashmi Rani Boro, Aradhana Devi, Hridoy Jyoti Mahanta, Hridoy Jyoti Mahanta, Pankaj Bharali, Pankaj Bharali

“…By utilizing WBS and advanced data analysis techniques, this study offers a robust framework for future research aimed at enhancing public health surveillance and interventions.…”
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MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA. by Ijaware Victor Ayodele, Kehinde Ruth Aniyikaye

“…Goal and Objectives: This study aimed at the application of machine learning techniques in determine land suitable for cereal crops in Ikere Ekiti, Ekiti State Southwestern Nigeria. …”
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Comparison of Initialization Techniques for the Accurate Extraction of Muscle Synergies from Myoelectric Signals via Nonnegative Matrix Factorization by Mumtaz Hussain Soomro, Silvia Conforto, Gaetano Giunta, Simone Ranaldi, Cristiano De Marchis

“…By measuring the quality of identification of the original synergies underlying the data, it was possible to compare the performance of different initialization techniques. …”
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FORECASTING MONTHLY RAINFALL IN PANGKEP REGENCY USING STATISTICAL DOWNSCALING MODEL WITH ROBUST PRINCIPAL COMPONENT REGRESSION TECHNIQUE by Sitti Sahriman, Anisa Anisa

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Application of mechanical quantitative techniques in postoperative rehabilitation assessment of anterior cruciate ligament reconstruction: A study protocol. by Zhichun Zhu, Jianyun Zhang, Wenxiang Ouyang, Tiantian Li, Jinsong Xiong, Mi Fan, Jing Guo, Peng Wang, Yongqing Tong, Yulu Yao

“…This study protocol aims to explore the application of mechanical quantitative techniques in the postoperative rehabilitation assessment following anterior cruciate ligament reconstruction (ACLR). …”
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Selection of Optimized Diagnostic Approach for Cardiovascular Diseases Leveraging Dynamic Linguistic Intuitionistic Fuzzy Decision‐Making Technique by M. Ameer, Walid Emam, Awais Yousaf, Muhammad Younis

“…The fuzzy aggregation operators are the best tools for the aggregation of uncertain and vague data. This work addresses a real‐world decision‐making problem of choosing the best diagnostic approach for the diagnosis of cardiovascular diseases by introducing a novel decision‐making technique with fuzzy aggregation operators in the domain of linguistic intuitionistic fuzzy (LIF) sets. …”
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Using Propensity Score Matching Technique to Estimate Utilization and Costs of General Practitioners’ Services associated with Alzheimer’s Disease by Rajan Sharma, Elizaveta Sopina, Jan Sørensen

“…Propensity scores were then estimated using the generalized boosted model, a multivariate, nonparametric and automated algorithm technique. **Setting:** Observational data from Statistics Denmark registry. …”
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Analysis of CI, HI, and DVH Values for the Heart Organ with IMRT Technique for Post-Mastectomy Breast Cancer Patients by Jerry Djohan, Naura Shafila, Saleha Saleha, Sri Dewi Astuty, Ajeng Anggreny Ibrahim, Ayu Hardianti Pratiwi, Syamsir Dewang

“…One of the treatment methods used is radiotherapy with the Intensity Modulated Radiation Therapy (IMRT) technique, aimed at delivering an optimal radiation dose to the tumor while minimizing radiation exposure to healthy organs, such as the heart. …”
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Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques by Gary S Collins, Richard D Riley, Johanna A A G Damen, Lotty Hooft, Ram Bajpai, Jie Ma, Constanza L Andaur Navarro, Toshihiko Takada, Steven W J Nijman, Paula Dhiman, Karel GM Moons

“…Due to the increasing availability of larger, routinely collected and complex medical data, and the rising application of Artificial Intelligence (AI) or machine learning (ML) techniques, the number of prediction model studies is expected to increase even further. …”
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Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan Images by Anand Kumar Gupta, Asadi Srinivasulu, Kamal Kant Hiran, Goddindla Sreenivasulu, Sivaram Rajeyyagari, Madhusudhana Subramanyam

“…This research article aims to introduce a combined ML and DL technique based on the combination of an Extended Convolutional Neural Network (ECNN) and an Extended Recurrent Neural Network (ERNN) to diagnose and predict Omicron virus-infected cases automatically using chest CT-scan images. …”
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Evaluating the Pattern of Forest Cover Changes Using Fuzzy Object-Oriented Techniques (Case Study: Kaleybar County) by Majid Pishnamaz Ahmadi, keyvan Mohammadzadeh, seyed Asadolah Hejazi

“…Forest monitoring requires an automatic systems to analyze large-scale remote sensing data. Nowadays with development of remote sensing technology, a large amount of spatial data is available. …”
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