Dynamic Modeling and Analysis of Industrial Robots for Enhanced Manufacturing Precision by Claudius Birk, Martin Kipfmüller, Jan Kotschenreuther

“…Objective functions based on the Frequency Response Assurance Criterion (FRAC) and Root Mean Square Error (RMSE) metrics were employed, utilizing a frequency-dependent weighting function. …”
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SEIRS model for TB transmission dynamics incorporating the environment and optimal control by Francis Oketch Ochieng

“…The fitting algorithm yielded a mean absolute error (MAE) of 0.01% when comparing the actual data points with the results of the simulated model. …”
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A Sequential Importance Sampling for Estimating Multi-Period Tail Risk by Ye-Ji Seo, Sunggon Kim

“…In other words, the simulated losses over the VaR that is wanted to estimate are common in the proposed method, which reduces very much the estimation error of ES, and requires the less simulated samples. …”
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The Utility of ChatGPT in Educational Research—Potential Opportunities and Pitfalls by Turgut Karakose

“…Its remarkable performance in numerous applications has also attracted researchers’ attention, prompting investigations into the potential utility of this AI-tool to enhance scientific work. …”
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Modeling fin efficiency considering transverse temperature gradients in rocket engine cooling channels by Volodymyr Sliusariev, Valerii Bucharskyi

“…To this end, the gradient descent method is applied, minimizing the quadratic error function. Findings. A criterial dependence has been formulated to complement the derived heat conduction equation. …”
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Chaos-Enhanced Fractional-Order Iterative Methods for the Stable and Efficient Solution of Nonlinear Engineering Problems by Mudassir Shams, Bruno Carpentieri

“…These findings underscore the method’s applicability to complex systems characterized by nonlinearity and memory effects in scientific and engineering contexts.…”
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Transforming Wind Data into Insights: A Comparative Study of Stochastic and Machine Learning Models in Wind Speed Forecasting by Türker Tuğrul, Sertaç Oruç, Mehmet Ali Hınıs

“…Wind speed is a critical parameter for both energy applications and climate studies, particularly under changing climatic conditions and has attracted increasing research interest from the scientific comunity. …”
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Development and Validation of a Rapid and Sensitive Ultrahigh-Performance Liquid Chromatography with Diode Array Detection Method for Quantification of Sertraline in Pharmaceutical... by Tuğrul Çağrı Akman, Mahmut Can Bebek

“…As a result, the applicability of the developed method to pharmaceutical preparations has also been proven.…”
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Adaptive Augmented Reality Architecture for Optimising Assistance and Safety in Industry 4.0 by Ginés Morales Méndez, Francisco del Cerro Velázquez

“…The experimental results demonstrated statistically significant enhancements in task completion time, error rates, perceived cognitive load, operational efficiency, and safety indicators in comparison with conventional methods. …”
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Enhancing Digital Elevation Model Accuracy for Flood Modelling – A Case Study of the Ciberes River in Cirebon, Indonesia by Sahid Sahid

“…The DEM, which is categorised as a Digital Surface Model (DSM) stores the height information, besides the ground and non-ground elevation required for preprocessing before being employed in hydrologic applications, particularly in relation to flood modelling by removing non-ground elevation along the floodplain and river channels. …”
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Analysis of ChatGPT-Generated Codes Across Multiple Programming Languages by Sally Almanasra, Khaled Suwais

“…However, as these models are increasingly adopted in real-world applications, questions surrounding their efficiency and code quality become critical. …”
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Informing Visual Display Design of Electronic Health Records: A Human Factors Cross-Industry Perspective by Zoe M. Pruitt, Jessica L. Howe, Lucy S. Bocknek, Arianna P. Milicia, Patricia A. Spaar, Seth Krevat, Raj M. Ratwani

“…# Background Despite their prevalence, poorly designed electronic health records (EHRs) are common, and research shows poor design consequences include clinician burnout, diagnostic error, and even patient harm. One of the major difficulties of EHR design is the visual display of information, which aims to present information in an easily digestible form for the user. …”
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Molecular property prediction using pretrained-BERT and Bayesian active learning: a data-efficient approach to drug design by Muhammad Arslan Masood, Samuel Kaski, Tianyu Cui

“…This approach establishes a foundation for more efficient screening workflows across diverse pharmaceutical applications.…”
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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning by Zhangjian Guo, Tongling Wang, Shuxun Chi, Li Huang

“…Abstract This study aims to enhance the accuracy and efficiency of energy consumption prediction during exercise training and address the limitations of existing methods in terms of data feature extraction, model complexity, and adaptability to practical applications. This study proposes an optimized energy consumption prediction model based on accelerometer sensor data and deep learning techniques. …”
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Optimal fuzzy-PID controller design for object tracking by Yaregal Limenih Melese, Girma Kassa Alitasb, Mequanent Degu Belete

“…It becomes an important field of study due to the need in video surveillance, traffic monitoring, live sport video analysis and many other applications. In this paper, both static camera-based and dynamic camera-based object tracking techniques have been developed. …”
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Measurement-guided therapeutic-dose prediction using multi-level gated modality-fusion model for volumetric-modulated arc radiotherapy by Changfei Gong, Changfei Gong, Changfei Gong, Yuling Huang, Yuling Huang, Yuling Huang, Junming Jian, Junming Jian, Junming Jian, Wenheng Zheng, Wenheng Zheng, Wenheng Zheng, Xiaoping Wang, Xiaoping Wang, Xiaoping Wang, Shenggou Ding, Shenggou Ding, Shenggou Ding, Yun Zhang, Yun Zhang, Yun Zhang

“…Quantitative experimental predictions show that the proposed model achieved the lowest values for the mean absolute error (37.99) and root mean square error (4.916), and the highest values for the peak signal-to-noise ratio (52.622), structural similarity (0.986) and universal quality index (0.932). …”
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Materials and Structures Used in Aeronautics: Present and Future Perspectives by Mihai FLOREA, Vlad-Stefan CONSTANTIN, Andrei-Christian BUCUR, Raluca FAUR, Denis PREDU, Alexandru CAZACU

“…In recent years, significant advancements have been made in the development of novel materials for aeronautic applications. This effort aims to reduce costs by extending the operational life of structural and engine components, improving fuel economy, load capacity, and flight range. …”
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Joint optimization of AI large and small models for surface temperature and emissivity retrieval using knowledge distillation by Wang Dai, Kebiao Mao, Zhonghua Guo, Zhihao Qin, Jiancheng Shi, Sayed M. Bateni, Liurui Xiao

“…In practical applications, this model demonstrated a PCC of 0.967 and an MAE of 0.685 K. …”
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Quantifying solid volume of stacked eucalypt timber using detection-segmentation and diameter distribution models by Gianmarco Goycochea Casas, Zool Hilmi Ismail, Mathaus Messias Coimbra Limeira, Carlos Pedro Boechat Soares, José Marinaldo Gleriani, Daniel Henrique Brada Binoti, Carlos Alberto Araújo Júnior, Mohd Ibrahim Shapiai, Leonardo Ippolito Rodrigues, Tassius Menezes Araújo, Helio Garcia Leite

“…Future works will focus on refining the model's accuracy and expanding its applicability across different species, forest production and log conditions.…”
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Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques by Bhupesh P. Nandurkar, Jayant M. Raut, Pawan K. Hinge, Boskey V. Bahoria, Tejas R. Patil, Sachin Upadhye, Vikrant S. Vairagade, Sagar D. Shelare

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