Molecular detection of Escherichia coli from ovine aborted fetuses in Mosul city, Iraq by Aamer Y. Al-Chalaby, Omer K. Alhankawe, Balsam Y. Rasheed

“…Genetic relatedness shows that the local isolates were closer to Escherichia coli strain W170 and Escherichia coli O157:H7 strain K1516 from China and USA, respectively. …”
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DETECTION OF TEXT OBJECTS IN IMAGES OF REAL SCENES BASED ON CONVOLUTIONAL NEURAL NETWORK MODEL by N. N. Kuzmitsky

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Modular iodinated carboxybetaine copolymers as charge-sensitive contrast agents for the detection of cartilage degradation by Patrick Weber, Annalena Maier, David Fercher, Maryam Asadikorayem, Marcy Zenobi-Wong

“…Moreover, this polymer also showed a strong local specificity, visualizing local differences in GAG distribution with significantly increased accuracy compared to the controls. …”
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MSGEGA: Multiscale Gaussian Enhancement and Global-Aware Network for Infrared Small Target Detection by Yuyang Xi, Liuwei Zhang, Ying Jiang, Feng Qian, Fanjiao Tan, Qingyu Hou

“…In recent years, the development of deep learning has significantly improved the performance of infrared small targets detection, particularly in addressing the issue of detecting small infrared targets with high signal-to-clutter ratio (SCR). …”
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Evaluation of Moore and grab sampling method for Salmonella Typhi detection in environmental samples in Ghana. by Michael Owusu, Eric Darko, Debora Akortia, Gifty Nkrumah, Sampson Twumasi-Ankrah, Michael Owusu-Ansah, Christopher B Uzzell, Jonathan Rigby, Catherine M Troman, Nicolette A Zhou, John Scott Meschke, Alexander G Shaw, Nicholas C Grassly, Yaw Adu-Sarkodie, Ellis Owusu-Dabo

“…Limited detection of confirmed typhoid fever cases at the local hospital may reflect healthcare seeking behaviours, access as well as early treatment with over-the-counter antibiotics. …”
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Detecting ear lesions in slaughtered pigs through open-source convolutional neural networks by Matteo D’Angelo, Domenico Sciota, Anastasia Romano, Alfonso Rosamilia, Chiara Guarnieri, Chiara Cecchini, Alberto Olivastri, Giuseppe Marruchella

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A genetic programming approach with adaptive region detection to skin cancer image classification by Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang

“…This paper proposes a new genetic programming (GP) approach to automatically learn global and/or local features from skin images for classification. …”
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Swincloud: a hybrid network for cloud detection in thermal infrared remote sensing images by Long Gao, Liyuan Li, Jianing Yu, Xiaoxuan Zhou, Lu Zou, Nan Fang, Xiaofeng Su, Fansheng Chen

“…Convolutional neural networks have shown outstanding performance in previous cloud detection algorithms due to their robust ability to extract local information. …”
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Application of Online Anomaly Detection Using One-Class Classification to the Z24 Bridge by Amro Abdrabo

“…In this study, we examine an online setting for damage detection in the Z24 bridge. We evaluate and compare the performance of the elliptic envelope, incremental one-class support vector classification, local outlier factor, half-space trees, and entropy-guided envelopes. …”
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SCCA-YOLO: Spatial Channel Fusion and Context-Aware YOLO for Lunar Crater Detection by Jiahao Tang, Boyuan Gu, Tianyou Li, Ying-Bo Lu

“…These challenges significantly hinder detection performance in remote sensing imagery and underscore the necessity of enhancing both local feature representation and global semantic reasoning. …”
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Comparative Analysis of Keypoint Detection Performance in SIFT Implementations on Small-Scale Image Datasets by Arif Rahman, Suprihatin, Imam Riadi, Tawar, Furizal

“…Scale-invariant feature transform (SIFT) is widely used as an image local feature extraction method because of its invariance to rotation, scale, and illumination change. …”
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Context guided transformer enhanced YOLOv8 for accurate juvenile abalone detection and counting by Dapeng Cheng, Ji Ruan, Xinhao Li, Feng Zhao, Shoudu Zhang, Guofan Zhang, Fucun Wu

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Integrating plot-based methods for monitoring biodiversity in island habitats under the scope of BIODIVERSA + project BioMonI: Tree monitoring in Terceira, Tenerife and Réunion Isl... by Paulo Borges, Leila Morgado, Rosalina Gabriel, Rui Elias, Mirana Gauche, Claudine Ah-Peng, Rüdiger Otto, Lea de Nascimento, Dominique Strasberg, Nathaly Guerrero-Ramírez, Holger Kreft, José María Fernández-Palacios

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Detection of sybil attacks based on periodic ultra wide band distance information in WSN by Yanzhi ZHANG, Xiaoqin YE

“…Concerning the problem that wireless sensor network is vulnerable to many kinds of network attacks and compromise of nodes，a complete detecting system of sybil attack based on periodic ultra-bandwidth distance information was proposed.Firstly，the distance between the adjacent nodes was ranging and the hello data packet was exchanged.Then，the distance estimation form was constructed by local estimation，and the form was contained in each node.Meanwhile，multiple distance matching check was periodically executed for each node in the network.Finally，when there was the distance matching between the legitimate node at least two different nodes，it would give an alarm and discard the sybil nodes.If there was no distance matching，the node continued normal operations.IEEE 802.15.4 peer to peer sensor networks were adopted in the simulation experiments.Experimental results show that the proposed system not only can tolerate changes in the number of complicated sybil attacks，but also can successfully deal with the occurrence of complicated，malleable sybil attack.In addition，the probability of false alarm is very small，the entire network performance and its consistency are not affected.…”
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Aircraft Detection from VHR Images Based on Circle-Frequency Filter and Multilevel Features by Feng Gao, Qizhi Xu, Bo Li

“…Aircraft automatic detection from very high-resolution (VHR) images plays an important role in a wide variety of applications. …”
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Network security traffic detection and legal supervision based on adaptive metric learning algorithm by Liu Zhen

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Auditor’s Professional Skepticism and Experience on Fraud Detection: The Moderating Role of Professional Ethical Commitment by Bella Puspita Rininda

“…This research is expected to be taken into consideration in terms of auditor accountability in detecting fraud in local government agencies. Novelty: This research contributes to the theory related to auditor behavior in decision-making, specifically the attribution theory, as it involves a combination of internal and external factors in an individual’s behavior, in this case, internal auditors. …”
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Unusual 99mTc-pyrophosphate accumulation in aortic aneurysm detected by bone scintigraphy by S. P. Mironov, D. N. Shul’gin, V. V. Malakhov

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The Detection and Enumeration of Coliform Bacteria in Some Ready-to-Eat Unpackaged Food in Fethiye Region by Mehtap Çiftçi, Nilgün Öncül

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Multi‐Distance Spatial‐Temporal Graph Neural Network for Anomaly Detection in Blockchain Transactions by Shiyang Chen, Yang Liu, Qun Zhang, Zhouhang Shao, Zewei Wang

“…This article presents MDST‐GNN, a multi‐distance spatial‐temporal graph neural network for blockchain anomaly detection. To address challenges in detecting fraudulent cryptocurrency transactions, MDST‐GNN integrates a multi‐distance graph convolutional architecture with adaptive temporal modeling, enabling capture of both local and global spatial dependencies while inferring patterns from anonymized temporal data. …”
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