LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

“…Abstract The research demonstrates a new method for predicting LC circuit frequencies through linear regression techniques applied to standard resonance formula-derived log-transformed L and C values. …”
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Quality consistency evaluation for carbon nanotubes by Zihao Song, Lu Jin, Guoying Wei, Lingling Ren

“…Moreover, the results of the three evaluation methods were consistent and could be mutually verified. …”
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Chaotic moving video quality enhancement based on deep in-loop filtering by Tong Tang, Yi Yang, Dapeng Wu, Ruyan Wang, Zhidu Li

“…Meanwhile, under close bit rate consumption, the proposed method could reconstruct more texture information, thereby significantly reducing the blocking artifacts and improving the visual quality.…”
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The influence of maintaining proper technical condition on the aging of multi-family residential buildings constructed in traditional technology by Grzegorz Wrzesiński, Jan Kowalski, Katarzyna Pawluk, Marzena Lendo-Siwicka

“…The value of the degree of technical wear of selected buildings Sz was similar for visual and time methods.…”
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Impacts of Architectural Sights on Anxiety Relief in a High-Density City by Yung-Chia Chiu, Ming-Chyuan Ho, Jui-Che Tu, Yi-Jhen Jhuang

“…To understand the relationship between architecture and stress relief, 70 participants were interviewed in a semi-structured method after showing images of the 20 buildings. We used the semantic differential method and a 7-point image scale to rate stress relief from various architectural styles. …”
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Scalable Deep Learning Framework for Public Transit Sign Detection by N. Savioli, E. Turkoz, T. Neumann, L. Liu, Y. Wang, Y. Zhang

“…In this work, we propose a novel Domain-Specific Agnostic Segmentation Method with Contrastive Learning, integrated into a scalable two-phase detection pipeline. …”
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An integrated approach to image quality: comparative analysis of bilinear and nearest neighbor interpolation by Wusat Ullah, Seher Ilyas, Hamza Naveed, Saalam Ali

“…Pixel transitions are critical in image processing, largely depending on interpolation methods to ensure smoothness and clarity. This work focuses on two widely used image interpolation techniques: nearest neighbor interpolation and bilinear interpolation, both implemented using integrated software code. …”
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KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection by Quan Yan, Junwen Duan, Jianxin Wang

“…Automated diagnosis of chest X-rays is pivotal in radiology, aiming to alleviate the workload of radiologists. Traditional methods primarily rely on visual features or label dependence, which is a limitation in detecting nuanced or rare lesions. …”
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UAV object tracking algorithm based on spatial saliency-aware correlation filter by Changhui Wu, Jinrong Shen, Kaiwei Chen, Yingpin Chen, Yuan Liao

“…However, existing correlation filter-based tracking methods still face issues such as redundant visual features with weak discriminative ability, inadequate spatio-temporal information mining, and filter degradation. …”
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Research on Parametric Modeling and Model Transformation of Proton Hospital Based on BIM by Shoufu Li, Tao Yu, Yang Liu, Yan Li, Bo Lei, Wenjing Qiao, Yuyan Zhang

“…The proposed modeling method can effectively expand the application range of BIM in a proton hospital project and effectively improve the efficiency of BIM modeling technology. …”
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Using Recombinase-Aid Amplification Combined with <i>Pyrococcus furiosus</i> Argonaute for Rapid Sex Identification in Flamingo (<i>Phoenicopteridae</i>) by Shenluan Tan, Fanwen Zeng, Wanhuan Zhong, Tanzipeng Chen, Xuanjiao Chen, Li Li, Hengxi Wei, Shouquan Zhang

“…Therefore, developing a rapid, sensitive, and accurate method to identify the sex of flamingos is crucial. …”
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A multi-attention deep learning network for intelligent identification of rock mass fracture in mines by Ning Li, Zihao Xiong, Liguan Wang, Bibo Dai, Shugang Zhao, Haiwang Ye, Qizhou Wang

“…This method integrates spatial attention, channel attention, and self-attention mechanisms into the encoder structure of the U-Net network by employing visual geometry group 16 (VGG16) as the backbone network, which improves its anti-interference capabilities and feature extraction efficiency during the rock mass fracture identification process. …”
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A dataset for surface defect detection on complex structured parts based on photometric stereo by Lin Wu, Yu Ran, Li Yan, Yixing Liu, You Song, Dongran Han

“…Four object detection methods (FCOS, YOLOv5, YOLOv8, and RT-DETR) were validated on the MSDD, achieving an mAP of 86.1%, surpassing traditional methods. …”
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A Fragile Watermarking Scheme for Authenticity Verification of 3D Models in GLB Format by Marcin Matczuk, Grzegorz Kozieł, Sławomir Cięszczyk

“…This paper proposes a novel method for authenticating 3D models in glb format based on fragile watermarking. …”
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Pre-Filtering SCADA Data for Enhanced Machine Learning-Based Multivariate Power Estimation in Wind Turbines by Bubin Wang, Bin Zhou, Denghao Zhu, Mingheng Zou, Haoxuan Luo

“…Therefore, developing efficient filtering methods is crucial to improving data quality and model performance. …”
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Minimisation of variations in locating an acupuncture point using a laser-device by Dha-Hyun Choi, Younbyoung Chae

“…The distributions of the acupoints were estimated by the kernel density estimation methods. Results: The overall distribution of acupoints was less when the laser device method was used, compared to the naked-eye method. …”
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Biometric analysis on financial performance of banks: key drivers of market, management and investors decisions by Monther Eldaia, Fozi Ali Belhaj, Mohammed Hael, Saddam A. Hazaea

“…This study aims to identify the trends of banks’ financial performance over decades of publications using a bibliometric approach. The bibliometric method is used to analyze a total of 1390 articles published from 1970 to 2023. …”
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Implementasi Algoritma Support Vector Machine (SVM) Untuk Klasifikasi Penyakit Stroke by Danis Rifa Nurqotimah, Ahsanun Naseh Khudori, Risqy Siwi Pradini

“…Stroke carries a high risk of brain damage, paralysis, speech disorders, visual impairment, even death. Classification is one of a few methods in predicting stroke symptoms with the aim of obtaining accurate prediction of disease. …”
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STUDY ON THE IMPLEMENTATION OF COMMUNITY-BASED INSTRUCTION IN GRADE 2 NATURAL AND SOCIAL SCIENCES IN BINH CHANH DISTRICT, HO CHI MINH CITY by Nguyen Minh Giang*, Nguyen Ho Kim Ngan

“…However, the frequency of implementing this method in Grade 2 Natural and Social Sciences remains low due to various practical challenges. …”
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Formulation of the Seven Principles of Iranian Art A Critique of the Book Seven Decorative Principles of Iranian Art by Alireza Taheri, Roya Zarifian

“…Placing elements such as mobility, coloring, and composition in the field of Iranian painting subdivisions meant reducing the importance of the principles governing the Ghezelbashi method, and in contrast emphasizing the arrangement under the heading of the "Seven Principles of Iranian Art" while setting the policy. …”
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