Detection Method for Islanded Microgrid Based on the Local Detection Method by Zhongqiang LIU, Zhongfu LIU

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Magnetically Localized Detection of Amplified DNA Using Biotinylated and Fluorescent Primers and Magnetic Nanoparticles by Etienne Orsini, Franz Bruckert, Marianne Weidenhaupt, Orphée Cugat, Paul Kauffmann, Sarah Delshadi

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Local detection of enhanced hot electron scattering in InSb/CdTe heterostructure interface by Xiaoxiao Ma, Zhenghang Zhi, Weijie Deng, Tianxin Li, Qianchun Weng, Xufeng Kou, Wei Lu

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Road Extraction from High-Resolution SAR Images via Automatic Local Detecting and Human-Guided Global Tracking by Jianghua Cheng, Wenxia Ding, Xishu Ku, Jixiang Sun

“…A new road center-point searching method is proposed by two alternant steps: local detection and global tracking. In local detection step, double window model is set, which consists of the outer fixed square window and the inner rotary rectangular one. …”
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Research on Face Local Attribute Detection Method Based on Improved SSD Network Structure by Qun Luo, Zhendong Liu

“…Based on the analysis of the face local attribute detection task, SSD was used as the basic detection network structure, and the VGG16 feature extraction model was used as the framework of face local detection. On this basis, by organically connecting different layers of the SSD network and integrating convolution block attention module, the improved SSD network structure was used to realize face local attribute detection. …”
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Development of Degree-of-Priority Based Control Strategy for Emergency Vehicle Preemption Operation by Jiawen Wang, Wanjing Ma, Xiaoguang Yang

“…A simulation model based on field data was developed, and the performance of the proposed strategy was compared with the conventional local detection based method under the microscopic simulation model. …”
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DCGOFTracker: Dual-Cue Guidance and Occlusion-Friendly for Multiobject Tracking in Remote Sensing Videos by Bei Cheng, Bo Wang, Qingwang Wang, Wenhao Chen, Tao Shen, Zhengzhou Li

“…This framework integrates local detection enhancement for small targets and refines the association matching process to improve tracking performance. …”
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A cooperative intrusion detection system for internet of things using fuzzy logic and ensemble of convolutional neural networks by Xiongwei Qiu, Lianzhi Shi, Pengtong Fan

“…In the detection process, when each of the participating observer nodes performs its local detection using this algorithm, they exchange the obtained information with each other to determine the final result of intrusion detection based on a voting method. …”
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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…The local quality-related fault detection model is constructed based on the CVA method by fully using the process information and characteristics reflecting the abnormal quality, and global fault detection is realized by fusing the local detection results through Bayesian reasoning. The performance of quality-related fault detection is improved. …”
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Deep Learning-Based Detection and Digital Twin Implementation of Beak Deformities in Caged Layer Chickens by Hengtai Li, Hongfei Chen, Jinlin Liu, Qiuhong Zhang, Tao Liu, Xinyu Zhang, Yuhua Li, Yan Qian, Xiuguo Zou

“…The model was deployed on edge computing devices for the real-time detection of abnormal beak features in layer chickens. Beyond local detection, a digital twin remote monitoring system was developed, combining three-dimensional (3D) modeling, the Internet of Things (IoT), and cloud-edge collaboration to create a dynamic, real-time mapping of physical layer farms to their virtual counterparts. …”
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Cell-Sonar, an Easy and Low-cost Method to Track a Target Protein by Expression Changes of Specific Protein Markers by Sabrina Brockmöller, Lara Molitor, Franz Worek, Simone Rothmiller

“…Detailed microscopy for protein co-localization detection or omic technologies, which provide holistic network data, are elaborate, mostly complex, and expensive to apply. …”
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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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Power transmission system’s fault location, detection, and classification: Pay close attention to transmission nodes by Chiagoziem C. Ukwuoma, Dongsheng Cai, Olusola Bamisile, Ejiyi J. Chukwuebuka, Ekong Favour, Gyarteng S.A. Emmanuel, Acen Caroline, Sabirin F. Abdi

“…This study, therefore, presents a fault localization, detection, and classification model for transmission systems that concentrate on the key distribution nodes. …”
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Cellulosic-based microneedles for sensing heavy metals in fish samples by Houman Kholafazad, Mahdiyeh Pazhuhi, Mohammad Hasanzadeh, Nicolas H. Voelcker, Nasrin Shadju, Azadeh Nilghaz

“…Microneedles (MNs) have emerged as a cutting-edge sensing approach due to their enhanced surface area, improved sample penetration, localized detection, and potential for enhanced sensitivity. …”
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Long-Term Administration of Anthraquinone Rhein on Induction of Constipation in Sprague-Dawley Rats via SCF/c-Kit Signaling Pathways by Bo Zhang, Mingdong Huo, Zhicheng Chen, Feng Gao, Yan Liu, Xingxin Zhou

“…After scarification, colonic tissues were freshly prepared for histological localization detected by immunohistochemical analysis and for the expression of stem cell factor (SCF) and c-kit proteins determined by western blot assay. …”
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A Deep Learning Framework for Healthy Lifestyle Monitoring and Outdoor Localization by Mehrab Rafiq, Naif S. Alshammari, Haifa F. Alhasson, Dina Abdulaziz Alhammadi, Mohammed Alshehri, Ahmad Jalal, Hui Liu

“…Using smartphone IMU, ambient, GPS, and audio sensor data from two publicly available benchmark datasets—the Extrasensory dataset and the Domino dataset—this study proposes a sophisticated approach for human locomotion and localization detection. In the preprocessing stage, a Chebyshev Type 2 filter was used for windowing and segmentation, while a Hamming window was applied. …”
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Optimisation of bioaerosol sampling using an ultralight aircraft: A novel approach in determining the 3-D atmospheric biodiversity by Maria P. Plaza, Athanasios Charalampopoulos, Vivien Leier-Wirtz, Pia Viuf Ørby, Mathilde Kloster, Michael Dines Christiansen, Claudia Traidl-Hoffmann, Athanasios Damialis, Ulrich Gosewinkel

“…Therefore, the question arises whether we are accurately picturing the biodiversity and abundance of regional bioaerosols and whether those locally detected might derive from long-distance transport, horizontally or vertically. …”
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