Adsorption in Perfect Mixing Tank – Comparison of Exact and Approximate Kinetic Models by Kupiec Krzysztof, Gwadera Monika, Larwa Barbara

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Dependent and Independent Time Series Errors Under Elliptically Countered Models by Fredy O. Pérez-Ramirez, Francisco J. Caro-Lopera, José A. Díaz-García, Graciela González Farías

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A New Approach to Studying Net Present Value and the Internal Rate of Return of Engineering Projects under Uncertainty with Three-Dimensional Graphs by Alexander Maravas, John-Paris Pantouvakis

“…Cost-benefit analysis (CBA) is very useful when appraising engineering projects and examining their long-term financial and social sustainability. …”
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Engineering Bifunctional Calcium Alendronate Gene‐Delivery Nanoneedle for Synergistic Chemo/Immuno‐Therapy Against HER2 Positive Ovarian Cancer by Guochuang Chen, Leli Zeng, Bo Bi, Xiuyu Huang, Miaojuan Qiu, Ping Chen, Zhi‐Ying Chen, Yulong He, Yihang Pan, Yu Chen, Jing Zhao

“…To address these critical issues, the design and engineering of alendronate calcium (CaALN) based gene‐delivery system is reported to express therapeutic level of BiTE (HER2×CD3) for efficient ovarian cancer immunotherapy. …”
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Real-Time Intelligent Recognition and Precise Drilling in Strongly Heterogeneous Formations Based on Multi-Parameter Logging While Drilling and Drilling Engineering by Aosai Zhao, Yang Yu, Bin Wang, Yewen Liu, Jingyue Liu, Xubiao Fu, Wenhao Zheng, Fei Tian

“…Facing engineering challenges of real-time and high-precision recognition of strongly heterogeneous formations during directional drilling, it is crucial to address the issues of sparse lithology geological labels and multi-source lithology identification from LWD data. …”
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Modelling of the Bubble Size Distribution in an Aerated Stirred Tank: Theoretical and Numerical Comparison of Different Breakup Models by Kálal Zbyněk, Jahoda Milan, Fořt Ivan

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Exploring the Detection Accuracy of Concrete Cracks Using Various CNN Models by Mohammed Ameen Mohammed, Zheng Han, Yange Li

“…Automatic crack detection with the least amount of workforce has become a crucial task in the inspection and evaluation of the performances of concrete structure in civil engineering. Recently, although many concrete crack detection models based on convolutional neural networks (CNNs) have been developed, the accuracy of the proposed models varies. …”
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Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review by Md Shofiqul Islam, Fahmid Al Farid, F. M. Javed Mehedi Shamrat, Md Nahidul Islam, Mamunur Rashid, Bifta Sama Bari, Junaidi Abdullah, Muhammad Nazrul Islam, Md Akhtaruzzaman, Muhammad Nomani Kabir, Sarina Mansor, Hezerul Abdul Karim

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A Comprehensive Analysis and Detection Methodology Using Near-Infrared (NIR) Spectroscopy to Unveil the Deceptive Practice of Milk Adulteration by Geetika Porwal, Kusumlata Jain, Smaranika Mohapatra, Veena Dhayal, Ishita Chopra

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Characterization and Modelling of LeBlanc Hydrodynamic Stabilizer: A Novel Approach for Steady and Transient State Models by Marlon Wesley Machado Cunico

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Finite Element Model Updating in Bridge Structures Using Kriging Model and Latin Hypercube Sampling Method by Jie Wu, Quansheng Yan, Shiping Huang, Chao Zou, Jintu Zhong, Weifeng Wang

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Explainable modeling for wind power forecasting: A Glass-Box model with high accuracy by Wenlong Liao, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang, Fernando Porté-Agel

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Closed-Loop Supply Chain Models with Considering the Environmental Impact by Amir Mohajeri, Mohammad Fallah

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Semantic Patent Classification Using Stack Generalization of Deep Models by Shahla Nemati

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Finite Mixture Models: A Key Tool for Reliability Analyses by Marko Nagode, Simon Oman, Jernej Klemenc, Branislav Panić

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Evaluation of synthetic data impact on fire segmentation models performance by Matej Arlovic, Franko Hrzic, Mitesh Patel, Tomasz Bednarz, Josip Balen

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Comparative Analysis of Vision Transformers and CNN Models for Driver Fatigue Classification by Fadhlan Hafizhelmi Kamaru Zaman, Kok Mun Ng, Syahrul Afzal Che Abdullah

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Improving Gestational Diabetes Detection in Pregnancy through Machine Learning Models by Ghazal Ishaq, Hafiz Gulfam Ahmad Umar, Leezna Saleem, Mariam Fareed, Mavra Aqdas

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Prediction Model for Compaction Quality of Earth-Rock Dams Based on IFA-RF Model by Weiwei Lin, Yuling Yan, Pu Xu, Xiao Zhang, Yichuan Zhong

“…The current evaluation models for earth-rock dam compaction quality seldom incorporate parameter uncertainty considerations. …”
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The Quest for the Best Explanation: Comparing Models and XAI Methods in Air Quality Modeling Tasks by Thomas Tasioulis, Evangelos Bagkis, Theodosios Kassandros, Kostas Karatzas

“…Our evaluation set included 12 monitoring stations using temporal split methods with or without lagged-feature engineering approaches. Moreover, the evaluation showed that models retained a substantial degree of predictive power (R² > 0.93) even in a reduced complexity size. …”
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