Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

“…Subsequently, a novel loss function named Local Blur Discrimination Loss is designed to address the local blur phenomenon and suppress the generation of fabric artifacts during the super-resolution process. …”
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Cross-validation of an artificial intelligence tool for fracture classification and localization on conventional radiography in Dutch population by Huibert C. Ruitenbeek, Sahil Sahil, Aradhana Kumar, Ravi Kumar Kushawaha, Swetha Tanamala, Saigopal Sathyamurthy, Rohitashva Agrawal, Subhankar Chattoraj, Jasika Paramasamy, Daniel Bos, Roshan Fahimi, Edwin H. G. Oei, Jacob J. Visser

“…The analysis included both patient-wise and fracture-wise evaluations, employing binary and Intersection over Union (IoU) metrics to assess fracture detection and localization accuracy. Results In total, 14,311 radiographs (median age, 48 years (range 18–98), 7265 male) were analyzed and categorized by body parts; clavicle, shoulder, humerus, elbow, forearm, wrist, hand and finger, pelvis, hip, femur, knee, lower leg, ankle, foot and toe. 4156/14,311 (29%) had fractures. …”
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Global self-localization and navigation using 3D-LiDAR for headland turning in vineyards by Kanya Usu, Yoshitomo Yamasaki, Kazunobu Ishii, Noboru Noguchi

“…An algorithm for robust localization, missing pole detection, was suggested and verified to improve accuracy by 14 %. …”
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Location method of airborne plant disease source based on a non-local-interpolation algorithm by Jing Zhang, Linglan Zhu, Yifang Wang, Si Chen, Yafei Wang, Shifa Li, Lu Xiao, Ning Yang

“…This provides new ideas and insights for early diagnosis and precise localization of plant diseases.…”
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Measurement Radon Concentration in Imported and Local Wood Using Solid State Nuclear Track Detectors by Baghdad Science Journal

“…Eight different samples of imported and local wood were collected from markets. Samples were grinded, dried in order to measure radon concentrations in it. …”
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Real-Time Burst Localization in Complex Water Transmission Lines Using Hydraulic Gradient Analysis by Taegon Ko, Raziyeh Farmani, Edward Keedwell, Xi Wan

“…This study introduces a methodology for the real-time detection and localization of bursts in water transmission lines by comparing estimated and measured Hydraulic Gradient (HG) values across pipe segments. …”
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Evaluation of structural change and local strain distribution in polymers comparatively imaged by FFSA and OCT techniques by E. Leiss-Holzinger, U. D. Cakmak, B. Heise, J.-L. Bouchot, E. P. Klement, M. Leitner, D. Stifter, Z. Major

“…Mechanical material testing combined with optical coherence tomography (OCT) allows for the first time the immediate detection of inner structural changes along with a qualitative observation of the local strain distribution in surface near bulk regions of semitransparent and translucent specimens. …”
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Catch You as I Can: Indoor Localization via Ambient Sound Signature and Human Behavior by Junzhao Du, Wenjing Chen, Yuewei Liu, Yawen Gu, Hui Liu

“…Localization, together with scene and human activity sensing, provides primitive and essential information for upper layer mobile applications. …”
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Temporal dynamics of detected transgenes in maize landraces in their center of origin by Beatriz Rendón-Aguilar, Luis Alberto Bernal-Ramírez, David Bravo-Avilez, Martha Graciela Rocha-Munive

“…Farmers’ responses indicated that there is a high movement of seed among localities, but also from other areas of the country. …”
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Machine Learning-Based Grasshopper Species Classification using Neutrosophic Completed Local Binary Pattern by Mustafa İlçin, Nuh Alpaslan

“…In this paper, a neutrosophic CLBP (completed local binary pattern) based grasshopper species classification framework is proposed. …”
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KRAS mutation detection by liquid biopsy for pancreatic ductal adenocarcinoma by Mahmoud Yousef, Abdelrahman Yousef, Mark W. Hurd, Ashwathy Pillai, Saikat Chowdhury, Rebecca Snyder, Mark Knafl, Ryan L. Lewis, Paul M. Roy, Mohammad Fanaeian, Sali Albarouki, Luca F. Castelnovo, Jennifer Peterson, Brandon G. Smaglo, Robert A. Wolff, Shubham Pant, Jason Willis, Ryan Huey, Michael Overman, Ching-Wei Tzeng, Michael P. Kim, Naruhiko Ikoma, Jess E. Maxwell, Matthew H. G. Katz, Huamin Wang, Anirban Maitra, Eugene Koay, Ethan B. Ludmir, Anthony Chen, Camila Lopez, Haoqiang Ying, John Paul Shen, Dan Zhao

“…Our single-institution cohort of 311 PDAC patients with non-tumor tissues informed LB found 81.2% positivity (N = 186) in metastatic cases and in 52.4% (N = 43) of localized disease. KRAS mutations were detected in 64.6% (N = 148) of metastatic cases and 16% (N = 13) for localized disease. …”
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Image analysis optimization for nanowire-based optical detection of molecules by Davtyan Rubina, Anttu Nicklas, Valderas-Gutiérrez Julia, Höök Fredrik, Linke Heiner

“…This represents two to three orders of magnitude improvement in detection compared to methods that do not utilize single-emitter localization. …”
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Comparison of Chromoendoscopy and Conventional Endoscopy in the Detection of Premalignant Gastric Lesions by Seyed Alireza Taghavi, Mohammed Ebrahim Membari, Ahad Eshraghian, Seyed Moshen Dehghani, Lelah Hamidpour, Farnaz Khademalhoseini

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Modern technologies in early detection and differential diagnostics of gastric cancer by A. F. Chernousov, V. V. Levkin, A. V. Egorov, S. S. Kharnas, T. V. Khorobrykh, N. V. Gagarina, N. S. Gorovaya, V. Ya. Zavodnov, V. B. Loshchenov, N. L. Okhotnikova, E. Yu. Patoka, S. K. Ternovoy, E. V. Fominykh, O. V. Ogneva

“…The detection rate of gastric cancer using this method is 97% regardless of the localization of the tumor. …”
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Astronomical Pointlike Source Detection via Deep Feature Matching by Ma Long, Xin Jiarong, Du Jiangbin, Zhao Jiayao, Wang Xiaotian, Zhang Yu

“…This study introduces PSDetNet, an innovative deep neural network tailored for the autonomous detection of pointlike astronomical sources by leveraging feature-matching techniques. …”
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DCFE-YOLO: A novel fabric defect detection method. by Lei Zhou, Bingya Ma, Yanyan Dong, Zhewen Yin, Fan Lu

“…To address the issues of inaccurate localization and false positives caused by complex textures and varying defect sizes, this paper proposes an improved YOLOv8-based fabric defect detection method. …”
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Difficulties in generating specific antibodies for immunohistochemical detection of nitrosylated tubulins. by Anton Kamnev, Matthias Muhar, Martina Preinreich, Hermann Ammer, Friedrich Propst

“…In contrast, the equally desirable subcellular localization of specific S-nitrosylated protein isoforms has not been achieved to date. …”
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Sylph: An Unsupervised APT Detection System Based on the Provenance Graph by Kaida Jiang, Zihan Gao, Siyu Zhang, Futai Zou

“…As a result, we propose Sylph, a lightweight unsupervised APT detection method based on a provenance graph, which not only detects APT attacks but also localizes APT attacks with a fine event granularity and feeds possible attacks back to system detectors to reduce their localization burden. …”
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Detection of Spark Erosion on Insulated Rail Joints by Deep Learning by Utku Kaya

“…In the second stage, a semantic segmentation network is applied to accurately localize and detect spark erosion regions in the detected IRJ images. …”
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Automatic detection of developmental stages of molar teeth with deep learning by Ertuğrul Furkan Savaştaer, Berrin Çelik, Mahmut Emin Çelik

“…The stages of development of molar teeth were divided into 4 classes such as M1, M2, M3 and M4. 9 different convolutional neural network models, which were Cascade R-CNN, YOLOv3, Hybrid Task Cascade(HTC), DetectorRS, SSD, EfficientNet, NAS-FPN, Deformable DETR and Probabilistic Anchor Assignment(PAA), were used for automatic detection of these classes. Performances were evaluated by mAP for detection localization performance and confusion matrices, giving metrics of accuracy, precision, recall and F1-scores for classification part. …”
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