Geometric Inspection in 3D Concrete Manufacturing: Comparison of Data Capturing Techniques by M. Maboudi, K. Mawas, M. Gerke

“…In all cases, the Root Mean Square Error (RMSE) is less than 1mm which is acceptable for the majority of applications within the realm of digital construction. …”
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Reliability assessment of two production lines using joint progressively type-II censored XLindley samples by I. Elbatal, Ahmed Elshahhat, H. E. Semary, Mazen Nassar

“…The maximum likelihood method is applied to obtain point estimates for the unknown parameters and reliability functions, while Bayesian analysis is performed under the squared error loss function, employing the Markov Chain Monte Carlo technique to generate samples from the posterior distribution. …”
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Turbidity and suspended sediment relationship based on sediment composition and particle size distribution by Jongmin Kim, Siyoon Kwon, Sewoong Chung, Young Do Kim

“…However, traditional methods for measuring SS data, such as water sampling and laboratory analysis, are time-consuming and impractical for real-time applications. Although the turbidity–SS relationship is widely used, its accuracy depends on sediment particle size distribution. …”
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Proposal of a parameter identification method for singledegree-of-freedom nonlinear systems using neural networks by Daiki TAJIRI, Kosuke NAKAJIMA, Masaki IKEDA, Shozo KAWAMURA, Masami MATSUBARA

“…The data obtained by numerically solving the equations of motion were considered as experimental data, and the linear parameters and nonlinear forces were identified to confirm the validity and applicability of the proposed method.…”
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IIM: an information interaction mechanism for aspect-based sentiment analysis by Le Chen, Lina Ge, Wei Zhou

“…Most existing studies solve aforesaid subtasks as independent tasks or simply unify the two subtasks without making full use of the relationship between tasks to mine the interaction of text information, which leads to low performance for practical applications. Meanwhile, the learning framework for these studies has a label drift phenomenon (LDP) in the process of predictive learning, increasing the learning error rate. …”
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Self-Adaptive Transtibial Prosthesis: Automatic Detection and Compensation of Leg Length Discrepancy by Dimitrie Cristian Fodor, Dragoș Florin Chitariu, Cristian Aghion, Neculai Eugen Seghedin

“…The results suggest substantial potential for clinical applications, with promising implications for users of unilateral prostheses.…”
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Machine Learning for Dynamic Pressure Coefficient Prediction in Vertical Water Jets by Amin Salemnia, Seyedehmaryam Hosseini Boldaji, Vida Atashi, Manoochehr Fathi-Moghadam

“…The XGBoost model outperformed others, achieving an R-squared of 0.953 and a Root Mean Squared Error (RMSE) of 0.191. Residual analysis validated its better performance, demonstrating that it delivered the most accurate predictions with minimal bias. …”
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An adaptive dual distillation framework for efficient remaining useful life prediction by Xiang Cheng, Jun Kit Chaw, Shafrida Sahrani, Mei Choo Ang, Saraswathy Shamini Gunasekaran, Moamin A. Mahmoud, Halimah Badioze Zaman, Yanfeng Zhao, Fuchen Ren

“…A-DDF outperforms previous methods, achieving a 12% decrease in relative error (MAPE), improving prediction accuracy and stability. …”
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Touch of Privacy: A Homomorphic Encryption-Powered Deep Learning Framework for Fingerprint Authentication by U. Sumalatha, K. Krishna Prakasha, Srikanth Prabhu, Vinod C. Nayak

“…The results confirm the feasibility of FHE for secure fingerprint authentication in cloud-based environments, benefiting applications in healthcare, banking, and access control.…”
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Solving the problem of power ripples for a multi-rotor wind turbine system using fractional-order third-order sliding mode algorithms by Habib benbouhenni, Adil Yahdou, Abdelkadir Belhadj Djilali, Nicu Bizon, Ilhami Colak, Z. M. S. Elbarbary, Muneer Parayangat

“…This research confirms the effectiveness and efficiency of the proposed approach in renewable energy applications. It promotes the most efficient and sustainable energy solutions, making it a promising solution in other industrial applications.…”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

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DA-FIS: A high-speed dynamic adaptive fault injection server framework for reliable FPGA-based embedded systems by Fatimah Alhayan, Gaganjot Kaur, Sultan Alanazi, Mohammed Burhanur Rehman, Wahida Mansouri, Da’ad Albalawneh, Ali Alqazzaz, Hanadi Alkhudhayr

“…Additionally, DA-FIS supports real-time error model adjustments, enabling researchers to analyze fault propagation, error correction strategies, and security vulnerabilities in FPGA-based architectures. …”
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Data-driven framework for prediction of mechanical properties of waste glass aggregates concrete by Kennedy C. Onyelowe, Shadi Hanandeh, Viroon Kamchoom, Ahmed M. Ebid, Hamza Imran, Miguel Angel Duque Vaca, Greys Carolina Herrera Morales, Nestor Ulloa, Krishna Prakash Arunachalam

“…The proposed models can be implemented in real-world scenarios to optimize mix designs for large-scale applications, leading to cost-effective and eco-friendly construction materials. …”
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An improved Harris corner detection method for honeycomb structures by Pengfei Zheng, Wilson Byiringiro, Weiwei Xie, Zhengkai Jiang, Can Cui, Yongjun Wu

“…This methodology enhances the applicability and reliability of the structural performance evaluation through image processing.…”
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A geospatial approach-based assessment of soil erosion impacts on the dams silting in the semi-arid region by Omar Djoukbala, Salim Djerbouai, Saeed Alqadhi, Mahmoud Hasbaia, Oussama Benselama, Hazem Ghassan Abdo, Javed Mallick

“…With a typical relative error of about 13% in predictions, these figures confirm the robustness of our methodology. …”
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Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning by Bahar Uddin Mahmud, Guanyue Hong, Virinchi Ravindrakumar Lalwani, Nicholas Brown, Zachary D. Asher

“…Traditional methods, such as manual selection or barcode-based identification, are prone to human error or face reliability issues under varying lighting conditions. …”
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Performance Evaluation of Metaheuristics for LQR Controller Optimization: A Two-Wheel Balancing Robot Case Study by Jose Ricardo Rivera-Ruiz, Ricardo Rojas-Galvan, Jose R. Garcia-Martinez, Edson Eduardo Cruz Miguel, Omar A. Barra-Vazquez, Maria Ines Cruz Orduna, Jesus Enrique Escalante-Martinez, Juvenal Rodriguez-Resendiz

“…Experimental results demonstrate that the controller optimized by differential evolution achieves the lowest root mean square error (0.4910 degrees), outperforming ABC (0.5187 degrees) and GHS (0.5195 degrees). …”
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Automated cell annotation and classification on histopathology for spatial biomarker discovery by Zhe Li, Seyed Hossein Mirjahanmardi, Rasoul Sali, Feyisope Eweje, Matthew Gopaulchan, Leon Kloker, Xiaoming Zhang, Guoxin Li, Yuming Jiang, Ruijiang Li

“…However, existing efforts are hampered by inefficient and error-prone human annotations. Here, we present an experimental and computational approach for automated cell annotation and classification on H&E-stained images. …”
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Temperature Field Prediction of Glulam Timber Connections Under Fire Hazard: A DeepONet-Based Approach by Jing Luo, Guangxin Tian, Chen Xu, Shijie Zhang, Zhen Liu

“…The framework’s computational efficiency enables comprehensive parametric studies and design optimizations that were previously impractical, offering significant advancements for structural fire engineering applications.…”
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Batch gradient based smoothing L 2/3 regularization for training pi-sigma higher-order networks by Khidir Shaib Mohamed, Raed Muhammad Albadrani, Ekram Adam, Yan Xiong

“…Training a PSNN requires modifying the weights and coefficients of the polynomial functions to reduce the error between the expected and actual outputs. It is a generalization of the conventional feedforward neural network and is especially helpful for function approximation applications. …”
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