A Model-Based Substructuring Method for Local Damage Detection of Structure by Eun-Taik Lee, Hee-Chang Eun

“…Modeling the damage-expected substructure subjected to the predicted constraint forces and expanding the displacement data measured at several locations in the substructure, the local damage is detected by the displacement curvature method. …”
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Detection and tissue-localization of Himetobi P virus in Nilaparvata lugens (Stål) by HUANG Yuji, CHEN Bin, ZHANG Chuanxi

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Cycle Time-Based Fault Detection and Localization in Pneumatic Drive Systems by Vladimir Boyko, Jürgen Weber

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PVLF: point-voxel local feature fusion for 3D detection by Haowei Zhao, Zhuolei Xiao

Subjects: “…3D object detection…”
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Symmetry constrained neural networks for detection and localization of damage in metal plates by James Amarel, Christopher Rudolf, Athanasios Iliopoulos, John G. Michopoulos, Leslie N. Smith

“…The present paper is concerned with deep learning techniques applied to detection and localization of damage in a thin aluminum plate. …”
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Pose detection and localization of pineapple fruit picking based on improved litehrnet by Pinlan Chen, Pinlan Chen, Bin Yan, Bin Yan, Ganran Deng, Ganran Deng, Guojie Li, Guojie Li, Zhende Cui, Zhende Cui, Shuang Zheng, Shuang Zheng, Fengguang He, Fengguang He, Ling Li, Ling Li, Xilin Wang, Xilin Wang, Sili Zhou, Sili Zhou, Shuangmei Qin, Shuangmei Qin, Zehua Liu, Zehua Liu, Ye Dai, Ye Dai

“…In summary, the proposed LTHRNet model demonstrates high accuracy and strong robustness in pineapple keypoint detection and pose estimation, providing reliable keypoint localization and pose estimation data for pineapple harvesting, while also offering an effective reference for pose recognition in other fruit-picking tasks.…”
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A method for synthetic speech detection using local phase quantization by Jia XU, Zhihua JIAN, Honghui JIN, Man YANG

“…Due to the convenience of speech synthesis, synthesized disguised speech poses a great threat to the security of speaker verification systems.In order to further enhance the ability of detecting the camouflage to the speaker verification system, a method of synthetic speech detection was put forward using the information in spectral domain of the synthetic speech spectrogram.The method employed the local phase quantization (LPQ) algorithm to describe frequency domain information in the speech spectrogram.Firstly, the spectrogram was divided into several sub-blocks, and then the LPQ was performed on each sub-block.After the histogram statistical analysis, the LPQ feature vector was obtained and used as the input feature of the random forest classifier to realize the synthetic speech detection.The experimental results demonstrate that the proposed method further reduces tandem detection cost function (t-DCF) and has better generalization ability.…”
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Detection rate of breast malignancy of needle localization biopsy of breast microcalcification by Kian-Hwee Chong, Kuo-Feng Huang, Hsiu-Wen Kuo, I-Shiang Tzeng, Jia-Hui Chen

“…Objective: The current study aimed to retrospectively assess the cancer detection rate of needle localization biopsy of breast microcalcifications undetectable on sonography. …”
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Detecting the left atrial appendage in CT localizers using deep learning by Aydin Demircioğlu, Denise Bos, Anton S. Quinsten, Lale Umutlu, Oliver Bruder, Michael Forsting, Kai Nassenstein

“…This study aims to automate LAA delimitation in CT localizers using deep learning. Four commonly used deep networks (VariFocalNet, Cascade-R-CNN, Task-aligned One-stage Object Detection Network, YOLO v11) were trained to predict the LAA boundaries on a cohort of 1253 localizers, collected retrospectively from a single center. …”
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NUCLEAR MEDICINE IMAGING IN THE DETECTION OF LOCALLY ADVANCED LARYNGEAL AND HYPOPHARYNGEAL CANCER by A. A. Medvedeva, V. I. Chernov, R. V. Zeltchan, I. G. Sinilkin, I. G. Frolova, S. V. Chizevskaya, E. L. Choynzonov, O. V. Cheremisina, A. V. Goldberg

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Leak detection and localization in water distribution systems via multilayer networks by Daniel Barros, Ariele Zanfei, Andrea Menapace, Gustavo Meirelles, Manuel Herrera, Bruno Brentan

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Salient object detection with non-local feature enhancement and edge reconstruction by Tao Xu, Jingyao Jiang, Lei Cai, Haojie Chai, Hanjun Ma

“…To this end, we propose a salient object detection method with non-local feature enhancement and edge reconstruction. …”
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Automated Detection and Visualization of Local Kidney Images with Artificial Intelligence Models by Hawraa Saleh, Hadeel Kassim Aljobouri‬, Hani M. Amasha

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Early surface crack detection and localization in structures: an artificial intelligence approach by Biswarup Yogi, Sourav Kumar Das, Soham Modak, Aritra Biswas, Satyabrata Roy

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Detection algorithm of LSB hidden messages based local image stability by ZHANG Qiu-yu, LIU Hong-guo, YUAN Zhan-ting

“…Aimed at the characteristics of LSB steganogtaphy, an algorithm based on local image stability was proposed.Combined with the idea of pollution data analysis, the secret information was regarded as noise in the process of informa-tion transmission.Then using the noise analysis technique, and selecting appropriate critical point value to achieve the detection purpose of the secret information.The theoretic analysis and experimental results show that detection algorithm advances than traditional algorithm in low embedding rate.…”
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Assessment of the Accuracy of Terrestrial Laser Scanners in Detecting Local Surface Anomaly by Ali Algadhi, Panos Psimoulis, Athina Grizi, Luis Neves

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Perturb, Attend, Detect, and Localize (PADL): Robust Proactive Image Defense by Filippo Bartolucci, Iacopo Masi, Giuseppe Lisanti

Subjects: “…Image manipulation detection…”
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Local trajectory parameters estimation and detection of moving targets in rayleigh noise by I. G. Prokopenko, V. Iu. Vovk, I. P. Omelchuk, Yu. D. Chirka, K. I. Prokopenko

“…The problem of detection of moving targets and estimation of local trajectory parameters based on the analysis of sensor data in the form of two-dimensional image is considered. …”
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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…The paper aims to present copy-move forgery detection algorithms with the help of advanced feature descriptors, such as local ternary pattern, local phase quantization, local Gabor binary pattern histogram sequence, Weber local descriptor, and local monotonic pattern, and classifiers such as optimized support vector machine and optimized NBC. …”
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Leak Localization Using Autoencoders and Shapley Values by Prasanna Mohan Doss, Marius Møller Rokstad, Franz Tscheikner-Gratl

“…Any significant change in the signal reconstructions is attributed to the presence of leaks and is determined by tracking statistical discrepancies using a sliding-window changepoint detection technique. Consequently, Shapley values are computed to identify the most influential sensors and approximate localization. …”
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