FoT: an efficient transformer framework for real-time small object detection in football videos by Wentao Zhang, Yaocong Yang

“…To address these problems, we propose a novel end-to-end detection framework–Football Transformer (FoT). By introducing the Local Interaction Aggregation Unit (LIAU) and Multi-Scale Feature Interaction Module (MFIM), FoT achieves an efficient balance between global semantic expression and local detail capture. …”
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Distributed Target Detection with Coherent Fusion in Tracking Based on Phase Prediction by Aoya Wang, Jing Lu, Shenghua Zhou, Linhai Wang

“…However, even for a distributed coherent radar, it is difficult to coherently accumulate local observations in the searching mode if target returns in local channels are decorrelated. …”
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Improved detection of tuberculosis in primary health care and its impact on the incidence by V. N. Guseynalieva

“…In two districts of Baku (with TB incidence rate of ≤ 30 per 100,000 population), certain activities were performed to confirm that such level of tuberculosis incidence among the local population was true-to-life. The groups of the population with the highest tuberculosis detection rate were identified. …”
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ID-insensitive deepfake detection model based on multi-attention mechanism by Yuncan Sheng, Zhengrui Zou, Zongxuan Yu, Mengxue Pang, Wei Ou, Wenbao Han

“…Specifically, the proposed multi-attention deepfake detection model consists of the following three parts: (1) Texture Feature Enhancement: We employ CondenseNet to enhance texture features efficiently, preserving subtle details and ensuring feature integrity; (2) Multi-Scale Artifact Detection: We introduce an artifact detection module that identifies potentially manipulated regions, enabling localized detection and minimizing the impact of identity information. (3) Multi-Attention Mechanism: By generating multiple attention maps, our model prioritizes different regions of the input image, fusing both texture and local features to improve classification performance. …”
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Enhanced Graph Autoencoder for Graph Anomaly Detection Using Subgraph Information by Chi Zhang, Jin-Woo Jung

“…This paper proposes an enhanced graph autoencoder framework for graph anomaly detection tasks that incorporates a subgraph extraction and aggregation preprocessing stage to utilize the nodes’ local topological information for enhanced embedding generation and to induce an additional node–subgraph view through model learning. …”
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Autonomous Sewer Robot: A Laser Marker-Based Detection System by Vygantas Ušinskis, Andrius Dzedzickis, Justas Nekrašas, Vytautas Bučinskas

“…Inspection robots that are required to work in underground sewers are often required to work completely locally, relying on sensor data. For this reason, in this study, a cost-efficient laser marker-based obstacle detection and measurement system is designed and tested for future use in autonomous sewer robot local path generation. …”
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Comparison of the Effectiveness of Two Different Pregnancy Detection Methods in Awassi Ewes by Ibrahim, Baraa Mahmood;, Al Rawi, Hani Muneb

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Microscopic and molecular detection of Cytauxzoon spp. in cats in Mosul city, Iraq by Sura S. Aghwan, Enas S. Hussein, Salam A Esmaeel

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Detection of latent brain states from spontaneous neural activity in the amygdala. by Alexa Aucoin, Kevin K Lin, Katalin M Gothard

“…We found that information about social vs. non-social context is present in the local field potential during periods of spontaneous activity between the application of grooming and airflow stimuli, as machine learning techniques can reliably decode context from spectrograms of spontaneous LFPs. …”
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Use of Explainable Artificial Intelligence for Analyzing and Explaining Intrusion Detection Systems by Pamela Hermosilla, Mauricio Díaz, Sebastián Berríos, Héctor Allende-Cid

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Indoor localization using augmented ultra-high-frequency radio frequency identification system for Internet of Things by Jing Wang, Miodrag Bolić

“…With the new and more realistic detection probability model, we explore the use of particle filtering methodology for localizing sense-a-tag, which overcomes the aforementioned roadblocks. …”
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An Explainable Deep Learning Network for Environmental Microorganism Classification Using Attention-Enhanced Semi-Local Features by R. Karthik, Armaano Ajay, Akshaj Singh Bisht, Jaehyuk Cho, V. E. Sathishkumar

“…However, traditional detection methods of EM detection are labour-intensive, time-consuming and, require extensive material resources. …”
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Fuzzy clustering method based on genetic algorithm in intrusion detection study by HUANG Min-ming LIN Bo-gang

“…Regarding the problem that fuzzy c-means algorithm（FCM） was sensitive to the initial value and converging to the local infinitesimal point easily, applies genetic algorithm to optimization of the FCM algorithm.Firstly, the results of FCM will be sent to the genetic algorithm for optimization, then the new results again used in FCM to obtain the most advantage of the overall situation.The experimental result shows that the algorithm can effectively detect anomaly intrusions behavior of special target and be better than FCM algorithm, and have a strong global optimization and faster convergence speed.…”
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Molecular detection of Leishmania major human infections in the Zinder area, Niger by Romain Blaizot, Mahaman Moustapha Lamine, Mona Saout, Kadidia Issa, Ibrahim Maman Laminou, Alexandre Duvignaud, Magalie Demar, Mahamadou Doutchi

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ECAN-Detector: An Efficient Context-Aggregation Network for Small-Object Detection by Gaofeng Xing, Zhikang Xu, Yulong He, Hailong Ning, Menghao Sun, Chunmei Wang

“…Concurrently, a context-augmentation module (CAM) embedded in the shallow layer complements both global and local features relevant to small objects. To further boost the average precision of small-object detection, we implement a faster method utilizing two reparametrized convolutions in the detection head. …”
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Advanced signal processing algorithm for fault classification and localization in VSC-HVDC based Offshore wind farm by Rehana Perveen

“…This paper also presents the fault localization in the high-voltage direct current cable line connected to OWF by traveling wave and EEMD. …”
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Abnormal Behavior Detection Using Trajectory Analysis in Camera Sensor Networks by Yong Wang, Dianhong Wang, Fenxiong Chen

“…Third, the final decision of anomaly detection is made through the majority voting of local results of individual camera nodes. …”
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Diagnosis of Localized Faults in Multistage Gearboxes: A Vibrational Approach by Means of Automatic EMD-Based Algorithm by M. Buzzoni, E. Mucchi, G. D’Elia, G. Dalpiaz

“…Indeed, the gear fault detection is commonly restricted to the identification of the stage containing the faulty gear rather than the faulty gear itself. …”
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The Effects of Motion on Distributed Detection in Mobile Ad Hoc Sensor Networks by Xusheng Sun, Edward J. Coyle

“…We consider a set of mobile wireless sensors that collect observations about a brief, localized event. As they continue to move about, one of them processes its observations, decides that an event of interest occurred, and wants to determine if other sensors confirm its results. …”
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Panel defect detection algorithm based on improved Faster R-CNN by Chen Wanqin, Tang Qingshan, Huang Tao

“…In view of the low precision and low efficiency of panel surface defect detection, this paper proposes an optimized defect detection algorithm based on Faster R-CNN. …”
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