A Review on Machine Learning Models in Injection Molding Machines by Senthil Kumaran Selvaraj, Aditya Raj, R. Rishikesh Mahadevan, Utkarsh Chadha, Velmurugan Paramasivam

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Infill Modelling Influence on Dynamic Identification and Model Updating of Reinforced Concrete Framed Buildings by Marco Bovo, Michele Tondi, Marco Savoia

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Engineering a Graphene Quantum Dot‐Enhanced Surface Plasmon Resonance Sensor for Ultra‐Sensitive Detection of Hg2⁺ Ions by Recep Üzek

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Comparative Analysis of Several Models for Churning Customer Prediction by Tan Zhaoyuan

“…More different datasets, updated models for small datasets, and more feature engineering methods should be taken into consideration.…”
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Generic HTR Models for Medieval Manuscripts. The CREMMALab Project by Ariane Pinche

“…This paper aims to help humanists easily develop an HTR model for medieval manuscripts, create and gather training data by knowing the issues underlying their choices. …”
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GDPR and Large Language Models: Technical and Legal Obstacles by Georgios Feretzakis, Evangelia Vagena, Konstantinos Kalodanis, Paraskevi Peristera, Dimitris Kalles, Athanasios Anastasiou

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Can large language models generate geospatial code? by Shuyang Hou, Zhangxiao Shen, Jianyuan Liang, Haoyue Jiao, Anqi Zhao, Yaxian Qing, Dehua Peng, Zhipeng Gui, Xuefeng Guan, Longgang Xiang, Huayi Wu

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Serein: A parallel pipeline‐based DAG schema for consensus in blockchain by Yang Liu, Jingwen Chen, Miaomiao Zhang, Shidong Shi, Feng Wang

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Evaluation of deep learning models for flood forecasting in Bangladesh by Asif Rahman Rumee

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A Framework for Evaluating Geomagnetic Indices Forecasting Models by Armando Collado‐Villaverde, Pablo Muñoz, Consuelo Cid

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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

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Dual prompt personalized federated learning in foundation models by Ying Chang, Xiaohu Shi, Xiaohui Zhao, Zhaohuang Chen, Deyin Ma

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Environmental and energy issues in biodiesel production using palm oil from the interspecific hybrid OxG and Elaeis guineensis: a case study in Colombia☆ by Mogollon Diego Ignacio Nieto, Venturini Osvaldo José, Batlle Eric Alberto Ocampo, González Aldemar Martinez, Munar-Florez David Arturo, Ramirez-Contreras Nidia Elizabeth, García-Nuñez Jesús Alberto, Borges Pedro Tavares, Lora Electo Eduardo Silva

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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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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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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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Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in Google Earth Engine (GEE) cloud-based platform by S. Papaiordanidis, I.Z. Gitas, T. Katagis

“…Thus, soil erosion and soil loss are a serious issue that should be managed, in order to conserve both artificial and natural ecosystems. …”
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Three novel cost-sensitive machine learning models for urban growth modelling by Mohammad Ahmadlou, Mohammad Karimi, Saad Sh. Sammen, Karam Alsafadi

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Detection of sensors used for adversarial examples against machine learning models by Ade Kurniawan, Yuichi Ohsita, Masayuki Murata

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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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