Bonding behavior of lap-spliced reinforcing bars embedded in ultra-high-performance concrete with steel fibers by Krairerk Aiamsri, Teerasak Yaowarat, Suksun Horpibulsuk, Apichat Suddeepong, Apinun Buritatum, Kanchana Hiranwatthana, Kirati Nitichote

“…This method achieves an error margin below ±16.5%, providing an accurate approach for practitioners. …”
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

“…Depending on the application, computational complexity is lowered by 20% to 60% compared to traditional PSO methods. Llama3 achieved a 20% to 40% reduction in model calls for regression tasks, whereas ChatGPT-3.5 reduced model calls by 60% for both regression and classification tasks, all while preserving accuracy and error rates. …”
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Detail-preserving denoising of CT and MRI images via adaptive clustering and non-local means algorithm by Mohit Sharma, Ayush Dogra, Bhawna Goyal, Anita Gupta, Manob Jyoti Saikia

“…The method demonstrates adaptability noise reduction capability and preservation of anatomical detail that make it well suited for precision critical medical imaging applications.…”
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GRU–Transformer Hybrid Model for GNSS/INS Integration in Orchard Environments by Peng Gao, Jinzhen Fang, Junlin He, Shuang Ma, Guanghua Wen, Zhen Li

“…Compared with the conventional ES-EKF, the proposed method achieves reductions in position root mean square error (PRMSE) of 48.74% (East), 41.94% (North), and 61.59% (Up), and reductions in velocity root mean square error (VRMSE) of 71.5% (East), 39.31% (North), and 56.48% (Up) in the East–North–Up (ENU) coordinate frame. …”
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Accelerating Disease Model Parameter Extraction: An LLM-Based Ranking Approach to Select Initial Studies for Literature Review Automation by Masood Sujau, Masako Wada, Emilie Vallée, Natalie Hillis, Teo Sušnjak

“…By framing the selection criteria of articles as a question–answer task and utilising zero-shot chain-of-thought prompting, the proposed method achieves a saving of at least 70% work effort compared to manual screening at a recall level of 95% (NWSS@95%). …”
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Unsupervised Multimodal UAV Image Registration via Style Transfer and Cascade Network by Xiaoye Bi, Rongkai Qie, Chengyang Tao, Zhaoxiang Zhang, Yuelei Xu

“…This paper proposes a novel multi-scale cascaded registration network based on style transfer that achieves superior performance: up to 67% reduction in mean squared error (from 0.0106 to 0.0068), 9.27% enhancement in normalized cross-correlation, 26% improvement in local normalized cross-correlation, and 8% increase in mutual information compared to state-of-the-art methods. …”
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Optimized bio-signal reconstruction and watermarking via enhanced fractional orthogonal moments by Gaber Hassan, Khalid M. Hosny, Islam S. Fathi

“…The findings indicate that the proposed methodology exhibits significantly higher performance levels than current methodologies, with a 64.3% improvement in PSNR (reaching 147.08 dB compared to 89.74 dB in existing approaches), 89.7% reduction in MSE (0.0092 versus 0.09 average), and 84.1% decrease in bit error rate (0.25 versus 1.57) for watermarking applications. …”
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A neural network-based synthetic diagnostic of laser-accelerated proton energy spectra by Christopher J. G. McQueen, Robbie Wilson, Timothy P. Frazer, Martin King, Matthew Alderton, Ewan F. J. Bacon, Ewan J. Dolier, Thomas Dzelzainis, Jesel K. Patel, Maia P. Peat, Ben C. Torrance, Ross J. Gray, Paul McKenna

“…We present a synthetic diagnostic method using deep neural networks to predict the energy spectrum of laser-accelerated protons. …”
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Improving Localization in Wireless Sensor Networks for the Internet of Things Using Data Replication-Based Deep Neural Networks by Jehan Esheh, Sofiene Affes

“…By combining the modified datasets with the original training data, we significantly increase the dataset size, which leads to a substantial reduction in normalized root mean square error (NRMSE). …”
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Multifrequency Subsurface Soil Moisture Retrieval for Forest Flows: A Case Study in Te Hiku, New Zealand by Yu-Huan Zhao, Delwyn Moller, Dean Meason, Mahta Moghaddam

“…The inversion uses a hybrid simulated annealing method. The proposed multifrequency retrieval algorithm has been evaluated using synthetic data and showed good performance. …”
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Numerical analysis and design methodology for steel frames with fuse system by Xiaotong Peng, Zhen Wang, Chen Lin, Deshan Sun, Shengtao Lu, Tingting Wen

“…RBS connection beams made of lower-grade steel than the steel frames cause the fuse system to yield earlier, and placing the fuse system at the side span is more effective than positioning it at the center. The proposed method for calculating lateral stiffness and ultimate load capacity shows an accuracy within a 10% margin of error compared to finite element analysis results.…”
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Increased virtual resolution for sub-pixel displacement algorithm optimization in digital image correlation for AISI 1020 steel by Silmara M. Cardoso, Maurício M. Ribeiro, Douglas S. Silva, Raí Felipe P. Junio, Sergio N. Monteiro, Jean da S. Rodrigues

“…The results showed a reduction in the error observed in synthetic images with increased magnification and good agreement with the deformation data obtained using the conventional extensometry technique.…”
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A Case Study on Integrating an AI System into the Fuel Blending Process in a Chemical Refinery by Abdul Gani Abdul Jameel

“…This work discusses a case study of a hybrid artificial intelligence (AI)-based method for gasoline blending based on a genetic algorithm (GA) combined with an artificial neural network (ANN). …”
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Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin by Xue Luning, Tian Mingliang, Zhao Juncheng

“…The calculation time was 5.62 s, which was an average reduction of 18.95%. Under the three geological disasters of earthquakes, mudslides, and landslides, the root mean square error of the model’s predictions was below 3 GPa, and the accuracy remained above 94%. …”
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Structural Response Evaluation of Krylov Subspace-Based Reduced-Order Model for Real-Time Structural Health Monitoring and Prediction of Container Ships by Kichan Sim, Byoung Wan Kim, Jeong Sam Han, Kangsu Lee

“…To address irregular wave loading challenges, we applied a snapshot-based Krylov subspace method. Unlike conventional methods that use unit force vectors in axial directions, this approach considers time-varying pressure distributions from irregular waves. …”
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A Flow Cytometry Protocol for Measurement of Plant Genome Size Using Frozen Material by Abhishek Soni, Lena Constantin, Agnelo Furtado, Robert J Henry

“…Genome size estimates from frozen material are similar to those from fresh material, with a reduction in error range, although not always significant (<i>p</i> > 0.05). …”
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DCT-DiffPose: A Lightweight Diffusion Model With Multi-Hypothesis for 3D Human Pose Estimation by Linzhan Zhong, Fangni Chen, Bolun Zheng, Rui Feng, Lei Zhang, Jian Wan

“…To validate DCT-DiffPose, we conducted extensive experiments on the Human3.6M and MPI-INF-3DHP datasets. Our method achieves a 19% lower Mean Per Joint Position Error (MPJPE) and a 55% reduction in FLOPs compared to D3DP. …”
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DATA COMPRESSION USING WAVELET TRANSFORM IN BIOTELEMETRY SYSTEMS by O.E. Bezborodova, A.Yu. Bodin, O.N. Bodin, M.N. Kramm, D.V. Martynov

“…For a biotelemetric system as a radio engineering and information-measuring system, the main indicators are measurement error and reliability of data transmission. Materials and methods. …”

Effect of Key Parameters on Ploughing Force Performance of Planing-Type Anti-Climbers by Zhuyao Li, Jiyou Fei, Dongxue Song, Hong He, Chang Liu, Chong Zhang

“…The results demonstrate that the model achieves ≤15% relative error compared with the simulation data and ≤5% deviation from the experimental measurements, confirming its engineering applicability. …”
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Artificial Intelligence-Supported Spatial Scanning for Enhanced Real-Time Spectral Analysis of Heterogeneous Media by Bassem Mortada, Samir Abozyd, Bassam Saadany, Yasser M. Sabry, Diaa Khalil, Tarik Bourouina

“…The 10-mm sensor exhibits a substantial reduction in root mean square error for protein (−60%) and for moisture (−43.5%), 2 major nutritional quality indicators of cereal grains.…”
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