Modality-based Modeling with Data Balancing and Dimensionality Reduction for Early Stunting Detection by Yohanes Setiawan, Mohammad Hamim Zajuli Al Faroby, Mochamad Nizar Palefi Ma’ady, I Made Wisnu Adi Sanjaya, Cisa Valentino Cahya Ramadhani

“…The study achieves the best F1 scores of 0.96, 0.91, and 0.90 for tabular-only, image-only, and image-tabular modalities, respectively, demonstrating the effectiveness of data balancing and dimensionality reduction techniques.…”
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Cost efficiency evaluation for a two-stage series network in data envelopment analysis by Zohreh Moghaddas, Mohsen Vaez Ghasemi

“…Methodology: Using the data envelopment analysis technique, we tried to provide a model for the cost evaluation of a network system. …”
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Diagnostics and Prognostics of Boilers in Power Plant Based on Data-Driven and Machine Learning by Achmad Widodo, Toni Prahasto, Mochamad Soleh, Herry Nugraha

“…This paper reports diagnostics and prognostics study of boiler in power plant using actual boiler operating data. This study aims to early detect anomalies that occur in the boiler and to predict the remaining useful life (RUL) after anomalies are detected. …”
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Hybrid oversampling technique for imbalanced pattern recognition: Enhancing performance with Borderline Synthetic Minority oversampling and Generative Adversarial Networks by Md Manjurul Ahsan, Shivakumar Raman, Yingtao Liu, Zahed Siddique

“…Several synthetic oversampling techniques have been introduced to balance the imbalanced data by oversampling the minor samples. …”
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An alternative method to improve gravity field models by incorporating GOCE gradient data by Xiaoyun Wan, Jiangjun Ran

“…The aim of this paper is to present an alternative method that can be used to improve existing gravity field models via the application of gradient data from Gravity field and Ocean Circulation Explorer (GOCE). …”
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Forecasting Stock Value Based on Data from Social Media and Investment Instruments by Ömer Faruk Uyrun, İbrahim Sabuncu

“…This study aimed to predict stocks using different machine learning techniques with social media data and investment instrument data. …”
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Ground truth and demographic data for ultrasound assessment of thoracolumbar fascia deformation and shearing by Andreas Brandl, Robbert van Amstel, Robert Schleip

“…The aim of this paper is to present data to validate ultrasound methods for the assessment of shear, sliding motion and deformation based on distance measurement of anatomical landmarks or speckle tracking. …”
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Effect of role-play technique on nursing students’ attitudes towards student-centred teaching: a Quasi-Experimental study by Dilay Necipoglu, Nida Aydin

“…The study was conducted with the fourth-year nursing students (n = 131). The data were collected using the ‘Data Collection Form’ and ‘Scale of Attitudes Towards Using Student-Centred Teaching Methods and Techniques’. …”
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A Review of Personalised Cardiac Computational Modelling Using Electroanatomical Mapping Data by Ovais A Jaffery, Lea Melki, Gregory Slabaugh, Wilson W Good, Caroline H Roney

“…This paper is aimed at reporting techniques on the personalisation of cardiac computational models, with a focus on calibrating cardiac tissue conductivity based on electroanatomical mapping data.…”
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Using LiDAR Data to Assess the Character of Landscape in the Suburban Zone of Poznań by Anna Dudzińska, Anna Gałecka-Drozda, Barbara Szpakowska

“… The intensive development of urban agglomerations causes the need to search for new precise methods which will determine the most important features of landscape and monitor changes in suburban zones. The aim of the study was to identify, characterize and assess the structure of landscape units based on LiDAR data. …”
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Response–Response Binding: New Evidence from Event-Related Potentials Data by Biye Wang, Lu Wang, Tao Tao, Wei Guo

“…While behavioral evidence on RR binding has been extensively examined, corresponding electrophysiological evidence remains scarce. This study aims to contribute novel insights into RR binding by event-related potentials (ERP) techniques to provide new evidence for RR binding. …”
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Technical efficiency evaluation of military hospitals in Iran using data envelopment analysis by mehdi sadidi, maghsoud amiri, Omid khalilifar, rouhalah moradi

“…Background: Healthcare costs in our economies have grown dramatically in the past few decades where inefficiency in healthcare operations has contributed to these rising costs. The aim of this study was to evaluate the technical efficiency of military hospitals in Iran by applying a nonparametric method, Data Envelopment Analysis (DEA). …”
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Enhanced Convolutional Neural Network for Accurate Crop Recommendation System on Climate Data by Adnan Myasar M., AI_Sadi Hafidh l., Abhilash Pideka Kundil

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THE ANALYSIS OF A CERTAIN TECHNIQUE THAT IMPACTS ON THE QUALITY OF TRANSLATION IN THE STATEMENT OF RESPONDING TOWARD ARGUING SPEECH ACT IN THE NOVEL ALLEGIANT by Siti Fathiyatus Sholihah, M.R. Nababan, D. Djatmika

“…It aims to determine the impact of choosing a certain micro technique of translation toward the quality in terms of accuracy, acceptability, and readability. …”
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Multiaxial vibration data for blade fault diagnosis in multirotor unmanned aerial vehicles by Luttfi A. Al-Haddad, Alaa Abdulhady Jaber, Mohsin N. Hamzah, Habib Kraiem, Mustafa I. Al-Karkhi, Aymen Flah

“…The resulting soft-labeled dataset includes time-domain signals from numerous test flights and has been used in multiple prior studies involving classical and deep learning-based fault classification techniques. This curated data collection provides a valuable resource for researchers in UAV health monitoring, vibration analysis, and machine learning-based fault diagnosis. …”
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Comparative analysis of effective data protection practices in healthcare: Russia and international standards by Diana A. Lebedeva

“…The main research methods employed include comparative-legal analysis, formal-legal analysis, expert-analytical methods, visualization techniques, and structural analysis. The aim of the study is to analyze the legislation related to the protection of patients’ personal data in healthcare across different countries and to identify recommendations for Russia. …”
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Bangla-REX: A distinct dataset for Bangla relation extractionOriginal data by Nishat Tasnim, Asraf Ullah Rahat, Tanjim Taharat Aurpa, Md Musfique Anwar

“…Bangla REX is a valuable resource for researchers and practitioners in natural language processing, offering standardized benchmarks and detailed annotations to advance relation extraction techniques for Bangla. It aims to foster research and enable practical applications, contributing to the development of Bangla NLP and multilingual information processing.The dataset is compiled from reliable sources, including Bangla Wikipedia and Wikidata, and has been annotated to ensure accuracy and relevance. …”
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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data by İrem Karakaya

“…Purpose: This study aims to evaluate the performance of various machine learning and ensemble learning models in classifying delivery times using Amazon delivery data. …”
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Steady-state data-driven dynamic stability assessment in the Korean power system by Sungyoon Song, Sang-won Min, Seungmin Jung

“…Abstract The extensive research on dynamic security assessment stability prediction has focused on data preprocessing techniques to improve accuracy because it was assumed that high-resolution postfault data exist. …”
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Advancements in MRI radiomics for hepatocellular carcinoma: a narrative review by Sakarie Mustafe Hidig, Hannan Samtar, Fidele Kakule Kitaghenda, Mohamed Abdifatah Mohamed

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