Kernel Density Estimated Linear Regression by Roshan Kalpavruksha, Rohan Kalpavruksha, Teryn Cha, Sung-Hyuk Cha

“…Using the mean squared error metric, KDLR consistently achieves superior accuracy compared to traditional regression methods. …”
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Self-Supervised Keypoint Learning for the Geometric Analysis of Road-Marking Templates by Chayanon Sub-r-pa, Rung-Ching Chen

“…GeoTemplateKPNet offers a foundational self-supervised solution for the robust geometric analysis of templates, which is crucial for downstream alignment tasks and applications.…”
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Advancing AI Interpretability in Medical Imaging: A Comparative Analysis of Pixel-Level Interpretability and Grad-CAM Models by Mohammad Ennab, Hamid Mcheick

“…By addressing the challenges of interpretability and accuracy simultaneously, PLI contributes to advancing the integration of AI in healthcare and sets a foundation for broader applications in other high-stake domains.…”
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Subspace-based local compilation of variational quantum circuits for large-scale quantum many-body simulation by Shota Kanasugi, Yuichiro Hidaka, Yuya O. Nakagawa, Shoichiro Tsutsui, Norifumi Matsumoto, Kazunori Maruyama, Hirotaka Oshima, Shintaro Sato

“…Our estimation suggests that the acceptable physical gate error rate for the LSVQC can be about one order of magnitude larger than that for the Trotterization.…”
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Grid Impedance Estimation Using Several Short-Term Low Power Signal Injections by M. M. AlyanNezhadi, F. Zare, H. Hassanpour

“…In this paper, our simulation error is additive white Gaussian noise which is considered as a generic measurement noise. …”
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Using effective subnetworks to predict selected properties of gene networks. by Gemunu H Gunaratne, Preethi H Gunaratne, Lars Seemann, Andrei Török

“…More importantly, is it possible to use such robust features in applications? We first identify a small group of genes that can be used to affect changes in other nodes of the network. …”
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Evaluating text representations for unsupervised legal semantic textual similarity in Brazilian Portuguese by Daniel da Silva Junior, Daniel de Oliveira, Aline Paes

“…A common task for those experts, which can be tedious and error-prone, is identifying similarities between a specific lawsuit and previous ones (which had a decision). …”
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Evaluation of monoxide film-based dosimeters for surface dose detection in electron therapy. by Moo Jae Han, Seung Woo Yang, Sang Il Bae, Young Min Moon, Wan Jeon, Chul Won Choi, Sung Kwang Park, Jin Young Kim

“…Therefore, the maximum error of each dosimeter is within the allowable range of 0.1 cm. …”
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Steel Roll Eye Pose Detection Based on Binocular Vision and Mask R-CNN by Xuwu Su, Jie Wang, Yifan Wang, Daode Zhang

“…The proposed method demonstrates strong operability in practical applications, and the steel coil end face position solving approach significantly enhances work efficiency, reduces labor costs, and ensures adequate detection accuracy.…”
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Machine vision approach for monitoring and quantifying fish school migration by Feng Lin, Jicheng Zhu, Aiju You, Lei Hua

“…Ultimately, these machine learning methods holds promising prospects for ecological applications.…”
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Mitigating Dead Node Impact on Coverage and Connectivity in Wireless Sensor Networks Using a Hybrid Approach by Omeed K. Khorsheed

“…In addition, the rate of connectivity error detection decreases by about 25%, highlighting the method’s effectiveness in dynamic network conditions. …”
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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

“…Key areas of investigation included the performance and accuracy of sign language interfaces, speech-to-text, text-to-speech, and speech recognition applications and the compatibility of these technologies with different platforms and devices. …”
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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

“…Abstract In recent years, DC motors have found widespread use in numerous industrial applications. Precise speed control is required and would be achieved via the implementation of a Proportional–Integral–Derivative (PID) controller in the system. …”
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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

“…Its scalable architecture supports high-traffic e-commerce applications. This detailed product labeling process not only improves operational efficiency for e-commerce platforms in the fashion industry but also contributes to improved product discoverability and customer satisfaction, supporting a stronger competitive position in online fashion retail.…”
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