Handling Low-Density LiDAR Data: Calculating the Heights of Civil Constructions and the Accuracy Expected by Rubén Martínez Marín, Elena Lianes Revilla, Juan Carlos Ojeda Manrique, Miguel Marchamalo Sacristán

“…Those results have been taken as correct values and the comparison between those values and the elevations obtained, assigning values to the control points by the interpolation of the LiDAR dataset, has been carried out. This paper shows the results obtained using low-density airborne LiDAR data and the accuracy obtained. …”
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Deteksi Spam Berbahasa Indonesia Berbasis Teks Menggunakan Model Bert by Muhammad Basil Musyaffa Amin, Gibran Hakim, Muhammad Taufik Maulana, Muhammad Fajrul Alwan, Hanna Shafira Anggraheni, Muhammad Jilan Naufal, Novanto Yudistira

“…Hasil evaluasi pada percobaan menggunakan dataset SMS dan Email memiliki nilai akurasi sebesar 98% pada model IndoBERT dan 95% pada model MultilingualBERT, yang menunjukkan tingkat akurasi yang tinggi. …”
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A proliferation-inducing ligand (APRIL) level among risk factors of ocular involvement in patients with Behçet’s disease by Rasha M. Ghaleb, Hanan S. Gad, Mohamed I. Abdallah, Zaki M. Zaki, Jehan A. Mahmoud

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Adaptive Month Matching: A Phenological Alignment Method for Transfer Learning in Cropland Segmentation by Reza Maleki, Falin Wu, Guoxin Qu, Amel Oubara, Loghman Fathollahi, Gongliu Yang

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Characteristics of Anterior Segment in Congenital Ectopia Lentis: An SS-OCT Study by Haotian Qi, Guangming Jin, Minjie Zou, Charlotte Young, Liyan Liu, Zhangkai Lian, Dongwei Guo, Zhenzhen Liu, Danying Zheng

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Screening hepatoprotective effective components of Lonicerae japonica Flos based on the spectrum-effect relationship and its mechanism exploring by Song Wang, Lin Yang, Ajiao Hou, Songtao Liu, Liu Yang, Haixue Kuang, Hai Jiang

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Experimental Study on Shear Behavior and Failure Mechanism of Bolted Heterogeneous Rock Joints under Different Anchorage Conditions by Xianzhen Cheng, Hengjie Luan, Yujing Jiang, Sunhao Zhang, Chuanyang Jia

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Using machine learning-based models for personality recognition by Fatemeh Mohades Deilami, Hossein Sadr, Mozhdeh Nazari

“…Our proposed method was validated on the Essay dataset by conducting a series of experiments and the empirical results demonstrated the superiority of our proposed method compared to both machine learning and deep learning methods for the task of personality recognition.…”
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Identification of QTLs for resistance to leaf and stem rusts in bread wheat (Triticum aestivum L.) using a mapping population of ‘Pamyati Azieva × Paragon’ by Y. Genievskaya, Y. Fedorenko, A. Sarbayev, A. Amalova, S. Abugalieva, S. Griffiths, Y. Turuspekov

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A novel ViT-BILSTM model for physical activity intensity classification in adults using gravity-based acceleration by Lin Wang, Zizhang Luo, Tianle Zhang

“…Method This research used the Capture-24 dataset, consisting of raw accelerometer data from 151 participants aged 18 to 91. …”
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Assessment of Malaysia-wide PM2.5 Forecasts from a Global Model by Zhixian Tan, Mohd Talib Latif, Matthew J. Ashfold

“…We used the surface PM2.5 forecasts from the Copernicus Atmosphere Monitoring Service’s (CAMS) global atmospheric composition forecast dataset (CAMS-GACF) and evaluated them against hourly PM2.5 observations recorded throughout Malaysia from 2018 to 2020 via exceedance and accuracy analyses. …”
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Total Organic Carbon Content Prediction in Lacustrine Shale Using Extreme Gradient Boosting Machine Learning Based on Bayesian Optimization by Xingzhou Liu, Zhi Tian, Chang Chen

“…Based on the degree of correlation, six logging curves reflecting TOC content were selected to construct training dataset for machine learning. Then, the performance of the XGBoost model was tested using K-fold cross-validation, and the hyperparameters of the model were determined using a Bayesian optimization method to improve the search efficiency and reduce the uncertainty caused by the rule of thumb. …”
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Exploring Early Learning Challenges in Children Utilizing Statistical and Explainable Machine Learning by Mithila Akter Mim, M. R. Khatun, Muhammad Minoar Hossain, Wahidur Rahman, Arslan Munir

“…For our study, we utilized the 2019 Multiple Indicator Cluster Surveys (MICS) dataset in Bangladesh. Using statistical analysis, we identified the key factors that affect children’s learning capability. …”
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Development and validation of a deep learning system for detection of small bowel pathologies in capsule endoscopy: a pilot study in a Singapore institution by Bochao Jiang, Michael Dorosan, Justin Wen Hao Leong, Marcus Eng Hock Ong, Sean Shao Wei Lam, Tiing Leong Ang

“…We then combined the open-source Kvasir-Capsule dataset (n = 43) and locally collected CE data (n = 29). …”
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Observational pilot using a Data to Care intervention strategy to promote HCV re-engagement and cure for persons with HIV/HCV co-infection who are out of care by Maximilian Wegener, Deborah Gosselin, Ralph Brooks, Suzanne Speers, Merceditas Villanueva

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Ranolazine Improves Glycemic Variability and Endothelial Function in Patients with Diabetes and Chronic Coronary Syndromes: Results from an Experimental Study by Annunziata Nusca, Federico Bernardini, Fabio Mangiacapra, Ernesto Maddaloni, Rosetta Melfi, Elisabetta Ricottini, Francesco Piccirillo, Silvia Manfrini, Gian Paolo Ussia, Francesco Grigioni

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The effect of nutrition-related patterns on primary infertility among couples in Gaza Strip: A case-control study by Amal DHAIR, Maha NUBANI HUSSEINI, Yehia ABED

Expression and Secretion of CXCL-8 and CXCL-10 From Mycobacterium Bovis BCG-Infected Human Epithelial Cells: Role of IL-4 by Patricia Méndez-Samperio, Elena Miranda, Abraham Vázquez

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Automatic monitoring of treated water released from wastewater treatment plants using model-based clustering with density estimation by Sheik Faritha Begum, K Lokeshwaran

“…Our experimental results conclusively show the polluted levels of wastewater from WWTP using a model-based clustering approach. The Dataset used in this work has been derived from the wastewater treatment plant located in Manresa, a town of 100,000 inhabitants near Barcelona (Catalonia). …”
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The weight-adjusted-waist index predicts all-cause and cardiovascular mortality in hypertension by Yu Zheng, Zixing Nie, Yifan Zhang, Tao Sun

“…BackgroundWeight-adjusted-waist (WWI) is a novel indicator of obesity that reflects the degree of central obesity in the human body.ObjectivesThe study aimed to explore the relationship between WWI and mortality in hypertensive individuals.MethodsCross-sectional data from the 2001–2018 National Health and Nutrition Examination Survey (NHANES) dataset were used in this study. The relationship between WWI and mortality was assessed using a weighted Cox proportional risk model; the nonlinear relationship was explored using restricted cubic splines. …”
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