Spatio-temporal Variation of Meteorological Influence on PM2.5 and PM10 over Major Urban Cities of Bangladesh by Nafisa Islam, Tarik Reza Toha, Mohammad Maksimul Islam, Tanvir Ahmed

“…Abstract A detrended seasonal analysis on a 6-year (2013–2018) dataset of daily Particulate Matter (PM) concentration and meteorological parameters is performed to understand the spatio-temporal variation of PM and the seasonal influence of meteorological factors on PM pollution over 6 major urban cities of Bangladesh. …”
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Order Batching in Warehouses by Minimizing Total Tardiness: A Hybrid Approach of Weighted Association Rule Mining and Genetic Algorithms by Amir Hossein Azadnia, Shahrooz Taheri, Pezhman Ghadimi, Muhamad Zameri Mat Saman, Kuan Yew Wong

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XAI-Enhanced Machine Learning for Obesity Risk Classification: A Stacking Approach With LIME Explanations by Mohammad Azad, Md Faraz Kabir Khan, Sameh Abd El-Ghany

“…We utilize the publicly available dataset from Palechor and Manotas available in the UCI ML repository which contains relevant information on individuals’ physical characteristics and behaviors. …”
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AI based predictive acceptability model for effective vaccine delivery in healthcare systems by Muhammad Shuaib Qureshi, Muhammad Bilal Qureshi, Urooj Iqrar, Ali Raza, Yazeed Yasin Ghadi, Nisreen Innab, Masoud Alajmi, Ayman Qahmash

“…Thirdly, our findings highlight the impact of demographic and socio-demographic factors on vaccine acceptance, providing valuable insights for policymakers to improve immunization rates. A sample dataset containing 7150 data records with 31 demographic and socioeconomic attributes from PDHS (2017–2018) is used in this paper. …”
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A data-driven impedance estimation and matching method for high impedance fault detection and location of distribution networks by Zhenyu Zhang, Yong Li, Zhiyu Wang, Junle Liu, An Chen, Yijia Cao

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Application of Artificial Intelligence Models to Predict the Tensile Strength of Glass Fiber-Modified Cemented Backfill Materials during the Mine Backfill Process by Lei Zhu, Wenzhe Gu, Zhicheng Liu, Fengqi Qiu

“…Firstly, the laboratory tests of tensile properties of GFCBM under different influence factors were implemented to supply the prediction model with dataset. The input variables are aeolian sand content, cement content, glass fiber length, and glass fiber content, and the output variable is the tensile strength of GFCBM. …”
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Polymorphisms of Homologous Recombination RAD51, RAD51B, XRCC2, and XRCC3 Genes and the Risk of Prostate Cancer by Maria Nowacka-Zawisza, Ewelina Wiśnik, Andrzej Wasilewski, Milena Skowrońska, Ewa Forma, Magdalena Bryś, Waldemar Różański, Wanda M. Krajewska

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Initial Experience with Sildenafil, Bosentan, and Nitric Oxide for Pediatric Cardiomyopathy Patients with Elevated Pulmonary Vascular Resistance before and after Orthotopic Heart T... by Babak Daftari, Juan Carlos Alejos, Gregory Perens

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The relationship between water production rate and resistivity in sand-based porous materials under two-phase fluid flow and its application by Weibiao Xie, Weibiao Xie, Qiuli Yin, Qiuli Yin, Xueping Dai, Xueping Dai, Yang Fan, Pan Zhang, Pan Zhang

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Identification and Characterization of TEX101 in Bovine Epididymal Spermatozoa by Subir K. Nagdas, Eric L. McLean, Leeá P. Richardson, Samir Raychoudhury

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Increasing Robustness by Reallocating the Margins in the Timetable by Lingyun Meng, Malik Muneeb Abid, Xinguo Jiang, Afaq Khattak, Muhammad Babar Khan

“…The results show that the timetable modified with the CTMA reduces the total delay time by an average of 3.25% for the small railway network and 5.18% for the large dataset. It suggests that adding the time supplements to the proper positions in a timetable can reduce the delay propagation and increase the robustness of the timetable.…”
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A semi-supervised deep neuro-fuzzy iterative learning system for automatic segmentation of hippocampus brain MRI by M Nisha, T Kannan, K Sivasankari

“…To assess its effectiveness, the proposed segmentation technique was evaluated on a large dataset of 18,900 images from Kaggle, and the results were compared with those of existing methods. …”
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Diversity and composition changes of intestinal fungi in patients with chronic kidney disease by XIE Huichao, XIAO Weidong, HAN Ben

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An Approach to Fall Detection Using Statistical Distributions of Thermal Signatures Obtained by a Stand-Alone Low-Resolution IR Array Sensor Device by Nishat Tasnim Newaz, Eisuke Hanada

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The Shared and Specific Genes and a Comparative Genomics Analysis within Three Hanseniaspora Strains by Kai Chen, Zhonghuan Tian, Fatang Jiang, Yunjiang Cheng, Chao-an Long

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Modified MobileNetV2 transfer learning model to detect road potholes by Neha Tanwar, Anil V. Turukmane

“…The MMNV2 model was tested using a dataset of 5,000 pavement images. A learning rate of 0.001 was used to optimize the model. …”
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Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation by Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang

“…We conducted comprehensive experiments on both synthetic datasets as well as a real-world dataset. Both DisNet and RM-IdEG significantly outperform state-of-the-art approaches, respectively. …”
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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

“…We compared their performance using a standardized baseline dataset and their responses to various parameter combinations. …”
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BK Virus Load Associated with Serum Levels of sCD30 in Renal Transplant Recipients by Haidar A. Shamran, Salma N. Malik, Jinan M. Al-Saffer, Rana S. Jawad

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Calorie Labeling in a Rural Middle School Influences Food Selection: Findings from Community-Based Participatory Research by Monica Hunsberger, Paul McGinnis, Jamie Smith, Beth Ann Beamer, Jean O’Malley

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