Super Resolution Reconstruction of Mars Thermal Infrared Remote Sensing Images Integrating Multi-Source Data by Chenyan Lu, Cheng Su

“…In doing so, it not only recovers finer texture details to produce better visual effects than typical super-resolution methods, but also maintains the consistency of thermal radiation flux, with the error after applying the consistency constraint reduced by nearly tenfold, ensuring the applicability of the results for scientific research.…”
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A Systematic Review of Accessibility Techniques for Online Platforms: Current Trends and Challenges by Valentin Bercaru, Nirvana Popescu

“…Our findings indicate that while speech and voice technologies have achieved good accuracies and low word error rates, further research is needed to improve the accuracy and usability of sign language recognition systems, especially for continuous sign language recognition, as they have low accuracy. …”
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Optimal in silico target gene deletion through nonlinear programming for genetic engineering. by Chung-Chien Hong, Mingzhou Song

“…Once validated in vivo, the optimal target genes are expected to achieve higher genetic engineering effectiveness than a trial-and-error procedure.…”
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Phoneme-Aware Hierarchical Augmentation and Semantic-Aware SpecAugment for Low-Resource Cantonese Speech Recognition by Lusheng Zhang, Shie Wu, Zhongxun Wang

“…On the Common Voice Cantonese 50 h subset, the combined strategy reduces the character error rate (CER) from 26.17% to 16.88% with wav2vec 2.0 and from 38.83% to 23.55% with Zipformer. …”
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Dual‐Transformer Deep Learning Framework for Seasonal Forecasting of Great Lakes Water Levels by Yi Chen, Pengfei Xue

“…It attains a root mean square error of 4–7 cm in predicting lake levels up to 6 months in advance across the lakes. …”
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Effect of corporate voluntary disclosure on corporate performance: Evidence from a transitional economy by Mofijul Hoq Masum, Sarkar James Bakul, Hassan Nazmul

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Psychological consultation apps in Saudi Arabia: A study for experts' evaluation and users' points of view. by Abdulmohsen Saud Albesher, Maymunah Faheem Alwahib

“…Medical consultation applications (apps) have rapidly proliferated globally. …”
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Performance improvement of DC motor control system using PID controller with Kookaburra and Red Panda optimization algorithm by G. Saravanan, C. Pazhanimuthu, Palanichamy Naveen

“…The quality of the solution is performed in the Integral Time Absolute Error (ITAE) objective function in Kookaburra Optimization Algorithm (KOA) and Red Panda Optimization Algorithm (RPOA). …”
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An End-to-End Deep Learning System for Automated Fashion Tagging: Segmentation, Classification, and Hierarchical Labeling by Basak Esin Kokturk-Guzel

“…Although this accuracy may seem modest, it is significant given the high number of classes, the hierarchical nature of the label tree, and the challenging presence of cropped or partially visible products in images, all of which naturally increase the error rate. The system is deployed on Google Cloud Run, demonstrating real-world feasibility with an average request latency of 67ms. …”
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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

“…Educational researchers could benefit from the utility of ChatGPT in identifying gaps in the literature, generating new ideas and developing hypothesis, devising surveys or rating scales, conducting systematic reviews, eliminating human error in analysis of large datasets as well as drafting and editing scientific manuscripts. …”
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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

“…Comparative results demonstrate that the proposed approach outperforms existing methods in terms of iteration count, residual error, CPU time, convergence order, fractal behavior, and memory efficiency. …”
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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 results of adding river information to the DEM could provide a representation closer to the cross-sectional profile of the river based on field measurements within the accuracy level Mean Absolute Error 2.51 m, 2.72 m, and 1.91 m in the left overbank, right overbank and centre of the river, respectively. …”
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Analysis of ChatGPT-Generated Codes Across Multiple Programming Languages by Sally Almanasra, Khaled Suwais

“…The study addresses key questions related to the performance, code quality, and error management of AI-generated code by analyzing solutions for 300 data structure problems and 300 problems from the LeetCode platform. …”
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