Inhomogeneous Dust Biases Photometric Redshifts and Stellar Masses for LSST by ChangHoon Hahn, Peter Melchior

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First-of-its-kind AI model for bioacoustic detection using a lightweight associative memory Hopfield neural network by Andrew Gascoyne, Wendy Lomas

“…Hence, the low computational demands make the model ideal for use on a variety of standard personal devices with potential for deployment in the field via edge-processing devices. It is also competitively accurate, with up to 86% precision on the labelled dataset used to evaluate the model. …”
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Real-Time Batch Detection System for Defects in Highly Curved Spiral Cylindrical Coils by Qinghang Zhuo, Linghua Kong, Jishi Zheng, Zhigang Ding, Wenguang Li, Dingrong Yi, Guofu Lian

“…Secondly, a sub-pixel edge detection method based on image processing technology and the Canny algorithm is proposed to address the issue of difficulty in measuring the geometric dimensions of tungsten coils due to their high bending spiral structure. …”
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Automated Detection of Aberrant Episodes in Epileptic Conditions: Leveraging EEG and Machine Learning Algorithms by Uddipan Hazarika, Bidyut Bikash Borah, Soumik Roy, Manob Jyoti Saikia

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Mode Shape Projection for Damage Detection of Laminated Composite Plates by Morteza Saadatmorad, Mohammad-Hadi Pashaei, Ramazan-Ali Jafari-Talookolaei, Samir Khatir

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Feature-Centered First Order Structure Tensor Scale-Space in 2D and 3D by Pawel Tomasz Pieta, Anders Bjorholm Dahl, Jeppe Revall Frisvad, Siavash Arjomand Bigdeli, Anders Nymark Christensen

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WEDM: Wavelet-Enhanced Diffusion with Multi-Stage Frequency Learning for Underwater Image Enhancement by Junhao Chen, Sichao Ye, Xiong Ouyang, Jiayan Zhuang

“…Most existing methods focus on spatial-domain processing, often neglecting the frequency-domain characteristics that are crucial for effectively restoring textures and edges. …”
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Experimental investigation on thermal storage performance of double U-tube phase change thermal storage tank by Liu Lu, Gang Liu, Qihui Wang, Yuan Xie, Xiaohu Yang, Hailong Li

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MHC Diversity Across Time and Space by Maria Cortazar‐Chinarro, Kayla C. King, Mette Lillie

“…The MHC is particularly important for advancing our understanding of local adaptive processes and host–parasite interactions. Here, we review the emerging work and theory exploring the geographic and temporal patterns of MHC diversity in the wild and how they are shaped by selective and demographic processes. …”
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Research on Video Monitoring Technology for Galloping of OCS Additional Conductors of High-Speed Railway in Strong Wind Zone by Wentao Zhang, Wenhao Wang, Shanpeng Zhao, Huayu Yuan, Youpeng Zhang, Xiaotong Yao, Guangwu Chen

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A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning by Zineb Maasaoui, Mheni Merzouki, Abdella Battou, Ahmed Lbath

“…Experiments on UNSW-NB15, TON-IoT, and Edge-IIoT datasets demonstrate our platform’s superiority over traditional methods in multi-class classification tasks, achieving near-perfect accuracy on the Edge-IIoT dataset. …”
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Automated detection of hard exudates in retinal fundus images for diabetic retinopathy screening using textural-based radon transform and morphology reconstruction by Esmat Ramezanzadeh, Naser Shoeibi, Akram Feizabadi, Touka Banaee, Mohammad Hossein Bahreyni Tussi, Meysam Tavakoli

“…The approach involves a comprehensive framework comprising preprocessing, main processing, feature extraction, and post-processing. …”
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Current situation and development trend of agricultural Internet of Things technology by NIE Pengcheng, ZHANG Hui, GENG Hongliang, WANG Zheng, HE Yong

“…The new communication technology represented by 5G, combined with information processing technologies such as multi-source information fusion, artificial intelligence, blockchain, edge computing, etc., makes the transmission and processing of information faster, safer and more reliable. …”
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The Application of Augmented Reality Technology in Perioperative Visual Guidance: Technological Advances and Innovation Challenges by Yichun Shen, Shuyi Wang, Yuhan Shen, Jingyi Hu

“…It then delves into the technical challenges that AR faces in areas such as image processing, 3D reconstruction, spatial localization, and registration, underscoring the importance of improving the accuracy of AR systems and ensuring their stability and consistency in clinical use. …”
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Influence of icings on river aufeis fluviogenesis by V. R. Alekseev

“…Formation and development of a river network in the permafrost zone is heavily influenced by icings and icing processes. It is of the most widespread occurrence in regions of discontinuous and continuous permafrost where the mean thickness of the ice on rivers varies over the range 1−2.5 m, and most of the ice cover is formed by consecutive freezing of outcropping groundwater. …”
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A Method for Automated Control of Electronic Components on Microfocus X-ray Images by N. E. Staroverov

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A global object-oriented dynamic network for low-altitude remote sensing object detection by Daoze Tang, Shuyun Tang, Yalin Wang, Shaoyun Guan, Yining Jin

“…Abstract With advancements in drone control technology, low-altitude remote sensing image processing holds significant potential for intelligent, real-time urban management. …”
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PGLM: Piecewise Generalized Linear Modeling of Ventricular Repolarization for Estimation of ECG T-wave Alternans by Ali Raza, Ehsan Ullah, Kamran Javed, Muhammad Majid, Zubair Saeed

“…Detection and estimation of TWA in embed noises are still challenging as require elaborated signal processing techniques. Cardiac signals are non-stationary and least-squares methods have an edge over spectral methods as signals’ nature is not compromised. …”
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Exploring the State-of-the-Art Algorithms for Brain Tumor Classification Using MRI Data by Joice J Anish, D Ajitha

“…For doctors, finding and classifying brain tumor (BT) is a routine and difficult procedure. Digital image processing methods such as segmentation, classification, and pre-processing may assist medical practitioners in diagnosing certain forms of brain cancer, finding tumors, and observing small changes. …”
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SapotaNet: Paving the Way for Efficient Deep Learning with Lightweight Network Architecture by Anita Bhatt, Maulin Joshi

“…There remains a substantial gap between per capita demand and supply due to losses, including those incurred during post-harvest processing. Research in cutting-edge technologies, such as computer vision and artificial intelligence, has significantly improved fruit quality evaluation in recent years. …”
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