Single-Sensor Impact Source Localization Method for Anisotropic Glass Fiber Composite Wind Turbine Blades by Liping Huang, Kai Lu, Liang Zeng

“…In this paper, a single-sensor impact source localization method is proposed. Capitalizing on deep learning frameworks, this method innovatively transforms the impact source localization problem into a classification task, thereby eliminating the need for anisotropy compensation and correction required by conventional localization algorithms. …”
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Outpatient acute kidney disease detection by national and institutional health data by Hsiu-Yin Chiang, Hung-Chieh Yeh, Zi-Han Lin, Bradley Chen, David Ray Chang, I-Wen Ting, Jie-Sian Wang, Yun-Lun Chang, Hung-Lin Chen, Yu-Chih Liu, Mei-Chuan Hsieh, Tzu-Ling Karen Tzeng, Chin-Chi Kuo

“…Methods Our team developed the Acute Kidney Injury Detection System (AKIDS) to screen for undiagnosed AKDOPT using National Health Insurance MediCloud data and institutional electronic medical records. …”
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Automated Localization and Classification of Expressway Pole-Like Road Facilities from Mobile Laser Scanning Data by Tran Thanh Ha, Taweep Chaisomphob

“…Thus, the automated localization and classification of road facilities are necessary. …”
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Assessing change point detection methods to enable robust detection of early stage Artisanal and Small-Scale mining (ASM) in the tropics using Sentinel-1 time series data by Mensah Isaac Obour, Barrett Brian, Cahalane Conor

“…This study utilised a time series smoothing technique to improve Sentinel-1 (S-1) SAR time series data, reducing SAR noise and atmospheric effects from heavy rainfall for early ASM activity detection. We tested three change point detection (CPD) methods, including cumulative sum (CuSuM), pruned exact linear time (PELT), and binary segmentation (BinSeg) in the Western and Ashanti wet regions in southern Ghana using the smoothed S-1 data for early ASM detection. …”
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Detecting Emerging DGA Malware in Federated Environments via Variational Autoencoder-Based Clustering and Resource-Aware Client Selection by Ma Viet Duc, Pham Minh Dang, Tran Thu Phuong, Truong Duc Truong, Vu Hai, Nguyen Huu Thanh

“…Each client encodes its local domain traffic into a semantic latent space using a shared, pre-trained VAE trained solely on benign domains. …”
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The Detection of Spatially Resolved Protostellar Outflows and Episodic Jets in the Outer Galaxy by Toki Ikeda, Takashi Shimonishi, Natsuko Izumi, Hiroyuki Kaneko, Satoko Takahashi, Kei E. I. Tanaka, Kenji Furuya, Chikako Yasui

“…We present the first detection of spatially resolved protostellar outflows and jets in the outer Galaxy. …”
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Spoofing Evident and Spoofing Deterrent Localization Using Ultrawideband (UWB) Active–Passive Ranging by Haige Chen, Ashutosh Dhekne

“…This article presents UnSpoof, an ultrawideband localization system that can detect and localize distance-spoofing tags with a few collaborative passively receiving anchors. …”
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GLI-Net: A global and local interaction network for accurate classification of gastrointestinal diseases in endoscopic images by Yuansen Zhang, Mengxiao Zhuang, Wenjun Chen, Xiaoqiu Wu, Qingqing Song

“…The accurate classification of gastrointestinal diseases from endoscopic images is essential for early detection and treatment. However, current methods face challenges in effectively integrating both global and local features, which limits their ability to capture both broad semantic information and subtle lesion details, ultimately affecting classification performance. …”
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Aflatoxin (M1 and B1) Contamination of Locally Repacked Milk Powder in South-Western Nigeria by Oyeyipo, O.O., ⃰ Oyeyipo, F.M. and Ayah, I.R.

“…This paper reports the levels of aflatoxins M1 (AFM1) and B1 (AFB1) contamination in one hundred and twenty- five locally repacked powdered milk samples from five States in the South-Western region of Nigeria. …”
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Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle by Tulin Li, Xiufeng Zhang, Yingbo Huang, Chunxi Yang

“…This method employs a multi-feature input CNN with residual learning blocks, which takes both the current local environmental images and heading angle features as inputs to identify the complexity of the local environment with higher accuracy and a smaller load size. …”
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A Local Pareto Front Guided Microscale Search Algorithm for Multi-Modal Multi-Objective Optimization by Yinghan Hong, Xiaohui Zheng, Fangqing Liu, Chunyun Li, Guizhen Mai, Dan Xiang, Cai Guo

“…The inherent challenge lies in the fact that a single strategy cannot effectively tackle problems with and without local Pareto fronts. This study proposes a novel approach that first detects the presence of local Pareto fronts using a neural network, thereby enabling adaptive adjustments to the algorithm’s selection strategy and search scope. …”
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Cadmium content in Hypericum perforatum L. and Thymus serpyllum L. from localities of the mountains Rtanj and Ozren by Đukić-Ćosić Danijela, Stanojević Aleksandra, Đekić-Ivanković Marija, Ćurčić Marijana, Plamenac-Bulat Zorica, Antonijević Biljana, Matović Vesna

“…The lowest Cd level was found in samples from the one of Rtanj localities (0.25 mg Cd/kg), while the highest was observed in Hypericum perforatum from Ozren locality (1.24 mg/kg). …”
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Return of the Eurasian lynx: using local stakeholder knowledge and experiences to inform lynx conservation in the French Alps by Justine Shanti Alexander, Philippe Christe, Fridolin Zimmermann

“…We explored the experiences and perceptions of local hunters and pastoralists regarding the return of the lynx to the Giffre Valley, France, and mapped lynx distribution based on the probability of site use while accounting for detection probability. …”
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Φ-OTDR disturbance localization of communication optical cable based on moving variance average and spectral subtraction by Wei SHEN, Xin HU, Ze ZHANG, Ling JU, Jian WU, Yi HUANG

“…To address the issue of low signal-to-noise ratio in disturbance localization on power communication optical cables caused by environmental noise in phase sensitive-optical time domain reflectometry (Φ-OTDR) systems, the Φ-OTDR localization technique is investigated based on moving variance averaging and spectral subtraction. …”
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Research on Ground Point Cloud Segmentation Algorithm Based on Local Density Plane Fitting in Road Scene by Tao Wang, Yiming Fu, Zhi Zhang, Xing Cheng, Lin Li, Zhenxue He, Haonan Wang, Kexin Gong

“…To address these problems, this paper proposes a ground point cloud segmentation algorithm based on local density plane fitting. Firstly, for the uneven density distribution of 3D point clouds, density segmentation is used to obtain several regions with balanced density. …”
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Research on fault localization method of valve area in converter station based on metric learning and knowledge reasoning by WEI Yun, LI Xianwei, ZHANG Yanlong, CAO Hui, XU Dan, QIU Junhong

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Toward Adaptive Unsupervised and Blind Image Forgery Localization with ViT-VAE and a Gaussian Mixture Model by Haichang Yin, KinTak U, Jing Wang, Wuyue Ma

“…Most image forgery localization methods rely on supervised learning, requiring large labeled datasets for training. …”
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Features of renal tuberculosis and other extrapulmonary tuberculosis localizations, depending on the presence or absence of the diagnosis confirmation in children by N. I. Porkulevich, A. V. Mordyk

“…To study anamnestic, epidemiological and clinical features of children diagnosed with renal tuberculosis and other extrapulmonary localizations, established by typical clinical and radiological manifestations or proven bacteriologically or histologically.Materials and methods. …”
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CT radiomics identifying non‐responders to neoadjuvant chemoradiotherapy among patients with locally advanced rectal cancer by Zinan Zhang, Xiaoping Yi, Qian Pei, Yan Fu, Bin Li, Haipeng Liu, Zaide Han, Changyong Chen, Peipei Pang, Huashan Lin, Guanghui Gong, Hongling Yin, Hongyan Zai, Bihong T. Chen

“…Abstract Background and Purpose Early detection of non‐response to neoadjuvant chemoradiotherapy (nCRT) for locally advanced colorectal cancer (LARC) remains challenging. …”
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Utilizing environmental DNA metabarcoding and local ecological knowledge for fish biodiversity assessment in Rivers of Java, Indonesia by Kurniawan Kurniawan, Wibowo Arif, Prakoso Vitas Atmadi, Chadijah Andi, Astuti Septiana Sri, Pratama Boby Bagja, Nafiqoh Nunak, Haryono Haryono, Dahruddin Hadi, Surbani Indah Lestari, Jaya Yohanes Yudha P., Sudarsono Sudarsono, Rourke Meaghan, Baumgartner Lee J., Stuart Ivor G.

“…The combined methodology identified a total of 51 fish species, including 32 through eDNA and 30 through LEK surveys. Both methods detected the same eleven species (22%) in total. The eDNA technique revealed 21 species that fishers had not reported, while fishers reported 18 species that eDNA did not detect. …”
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