Long Short-Term Memory-Based Impact of Traffic Incidents: Case Study of Seoul Expressway, Korea by Sang-Hoon Bae, Duy Quang Tran, Bog-gi Park, Huy Tran Quang, Luan Nguyen Huu

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Digital mapping of soil organic carbon stocks in the forest lands of Dominican Republic by Efraín Duarte, Erick Zagal, Juan A. Barrera, Francis Dube, Fabio Casco, Alexander J. Hernández

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Learning complex spatial dynamics of wildlife diseases with machine learning-guided partial differential equations by Juan Francisco Mandujano Reyes, Gina Oh, Ian McGahan, Ting Fung Ma, Robin Russell, Daniel P. Walsh, Jun Zhu

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Parameter Analysis of Pile Foundation Bearing Characteristics Based on Pore Water Pressure Using Rapid Load Test by Jing-Jie Su, Xue-Liang Zhao, Qing Guo, Wei-Ming Gong, Yu-Chen Wang, Tong-Xing Zeng

“…A novel approach for determining the bearing capacity of pile foundations using rapid load testing is suggested to rectify the inaccuracies arising from the presumption of a constant damping coefficient and excess pore water pressure during the evaluation of pile foundation bearing capacity in soil. This research focuses on the characteristics associated with the segmented damping coefficient of pile foundations and the permeability coefficient of sand at the pile terminus, resulting in a long pulse vibration equation derived from dynamic effects. …”
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Feasibility of Conoscopic Holography Measurement in the Stereolithography (SLA) Process with Alumina by Lorenzo Meana, Víctor Meana, Eduardo Cuesta, Pedro Fernández, Gonzalo Valiño, Braulio J. Álvarez

“…In this context, non-contact metrology plays a key role. This research investigates the performance of conoscopic holography as an optical metrology technique for the inspection of ceramic parts manufactured by stereolithography. …”
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Boosting Li-Ion Battery Pack Lifespan with Active On-Load Balancing by Salam S. Hussein, Ahmed J. Abid, Adel A. Obed, Ameer L. Saleh, Reheel J. Hassoon

“…The unique contribution of this research lies in the active balancing approach, which offers efficient and effective battery management during discharge. …”
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Initial findings creating a temperature prediction model using vibroacoustic signals originating from tissue needle interactions by Michael Friebe, Witold Serwatka, Katharina Steeg, Gabriele Krombach, Hamza Oran, Oğuzhan Berke Özdil, Katarzyna Heryan, Axel Boese, Alfredo Illanes, Dominik Rzepka

“…Abstract This research explores the acquisition and analysis of vibroacoustic signals generated during tissue-tool interactions, using a conventional aspiration needle enhanced with a proximally mounted MEMS audio sensor, to extract temperature information. …”
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Rheological properties of Wild sage seed gum solution: Effects of different concentrations of ascorbic acid, citric acid, malic acid and tartaric acid by Fakhreddin Salehi, Kimia Samary, Maryam Tashakori

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A Survey of Holistic Approaches for Distributed Database Systems: From Conceptual Model to Deployment by Goncalo Carvalho, Jorge Bernardino, Bruno Cabral, Vasco Pereira

“…Finally, the paper discusses open questions and research directions that indicate promising areas for future investigation.…”
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Password policy characteristics and keystroke biometric authentication by Simon Parkinson, Saad Khan, Andrew Crampton, Qing Xu, Weizhi Xie, Na Liu, Kyle Dakin

“…Furthermore, benchmark datasets used in keystroke biometric research do not enable useful insights into the relationship between their capability and password policy. …”
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Effect of flow direction on the conjugate heat transfer performance of LNG ambient air vaporizer with U-bend by Shanshan Liu, Wenling Jiao, Ping Zhang, Qi Li

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Image-based food monitoring and dietary management for patients living with diabetes: a scoping review of calorie counting applications by Asal Rouhafzay, Asal Rouhafzay, Ghazal Rouhafzay, Jalila Jbilou, Jalila Jbilou

“…Traditional calorie counting methods are often error-prone and may not meet the specific needs of individuals with diabetes. …”
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Estimating NOx Emissions in China via Multisource Satellite Data and Deep Learning Model by Kun Cai, Yanfang Shao, Yinghao Lin, Shenshen Li, Minghu Fan

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A Hybrid Control Approach Integrating Model-Predictive Control and Fractional-Order Admittance Control for Automatic Internal Limiting Membrane Peeling Surgery by Hongcheng Liu, Xiaodong Zhang, Yachun Wang, Zirui Zhao, Ning Wang

“…The results indicated that the positional error of the micro-forceps tip remained within 40 μm. …”
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Prediction of Remaining Service Life of Miniature Circuit Breakers Based on Wiener Process by Lin Ma, Linming Hou, Puquan He, Changxian Wang, Zhenhua Xie, Yao Wang

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Impact of Digital Panoramic Radiograph Magnification on Vertical Measurement Accuracy by Marc El Hage, Jean-Pierre Bernard, Christophe Combescure, Lydia Vazquez

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Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete by Muhammad Izhar Shah, Shazim Ali Memon, Muhammad Sohaib Khan Niazi, Muhammad Nasir Amin, Fahid Aslam, Muhammad Faisal Javed

“…In this research, multiexpression programming (MEP) has been employed to model the compressive strength, splitting tensile strength, and flexural strength of waste sugarcane bagasse ash (SCBA) concrete. …”
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A review of IoT network management: Current status and perspectives by Moussa Aboubakar, Mounir Kellil, Pierre Roux

“…Moreover, this paper also compares existing research proposals on management of IoT low power networks based on different requirements. …”
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Optimizing Superior Seed Bunches: A New Approach to Artificial Pollination with Machine Learning Models by Yabani Yabani, Retna Astuti Kuswardani

“…The main focus of the study is to develop an optimization method that can improve the quality of fruit bunches and minimize waste in the production process. The research methodology begins with data collection from oil palm plantations that implement pollination under different conditions. …”
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Hybrid CNN-Transformer Model for Accurate Impacted Tooth Detection in Panoramic Radiographs by Deniz Bora Küçük, Andaç Imak, Salih Taha Alperen Özçelik, Adalet Çelebi, Muammer Türkoğlu, Abdulkadir Sengur, Deepika Koundal

“…The proposed model has potential for widespread application in clinical dentistry, reducing manual workload and error rates. Future research will focus on expanding the dataset and further refining the model’s generalizability.…”
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