Global Feature Focusing and Information Enhancement Network for Occluded Pedestrian Detection by ZHENG Kaikui, JI Kangyou, LI Jun, LI Qiming

“…The final feature map is processed by a detection head, which generates center heatmaps, scale heatmaps, and offset maps to predict pedestrian bounding boxes.Results and DiscussionsIn order to comprehensively verify the effectiveness of the various improvements of the proposed GFFIE-Net, we designed ablation experiments from four aspects. …”
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Discovering temporal, spatial, and contextual anomalous social activities from streaming social media datasets by Mete Celik, Ahmet Sakir Dokuz, Alper Ecemis, Emre Erdogmus

“…Nonetheless, anomaly detection studies on streaming social media datasets are very limited. …”
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Sensitive Detection of Lasalocid Residue in Chicken by Surface Enhanced Raman Spectroscopy by Yao WANG, Yingying SUN, Yubing JING, Xiyan YANG, Yanfei LI, Jiaxiang HUANG, Xiujin CHEN, Zhaozhou LI, Li CAO, Huaibin KANG

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Aptamer-based Gold Nanoparticles Colorimetric Method for Rapid Detection of Chlorpyrifos by Yao WANG, Xiyan YANG, Yanfei LI, Jiaxiang HUANG, Sijia LI, Kaile WANG, Aoshun HE, Shilin WANG, Yanyan LI, Zhaozhou LI, Xiujin CHEN, Huaibin KANG

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Kans-Unet Model and Its Application in Image Patch-Shaped Detection by Xingsu Li, Zhong Li, Jianping Huang, Ying Han, Kexin Zhu, Bo Hao, Junjie Song, Yumeng Huo

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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

“…In order to obtain the superiority of coherent processing while overcoming the real implementation difficulties of a coherent framework, this paper studies a distributed coherent detection algorithm for fusion detection. …”
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Recent Advances in Polysaccharide-Based Electrospun Nanofibers for Food Safety Detection by Jie Shi, Junjie Tang, Mengfei Zhang, Yingqi Zou, Jie Pang, Chunhua Wu

“…This review systematically elucidates the fundamental principles and operational parameters governing electrospinning processes, with particular emphasis on polysaccharide-specific fiber formation mechanisms. …”
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Advances in the detection of virulence genes of Staphylococcus aureus originate from food by Yingying Zhao, Dandan Xia, Panpan Ma, Xiaofeng Gao, Wenyi Kang, Jinfeng Wei

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An integrated, tiered microplastic workflow, supporting rapid broadscale detection options by Samantha K Lynch, Colin L Johnson, Shivanesh Rao, Jaimie Loa-Kum-Cheung, Edwina L Foulsham, Alessandra L Suzzi, Lachlan Hill, Neil Doszpot, Rajitha Athukorala, Uthpala Pinto, Keegan Vickers, Maddison Carbery, Marina F.M. Santana

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Research on flight detection and data compliance analysis methods for ice meteorological by DING Junliang

“…This method includes the selection and modification of icing experimental research aircraft, detection target area determination, flight operation strategy, flight safety management, data processing, etc. …”
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Self-reference Lock-in Thermography for Detecting Defects in Metal Bridge Spans by A. L. Solovyev, M. E. Royak

“…A method for processing thermographic films was described. It provided detecting temperature anomalies using only information from the camera. …”
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Early detection of plant leaf diseases using stacking hybrid learning. by Abdullah Sheneamer

“…Various approaches have been used to identify diseases, including image processing and sophisticated algorithms. The most effective method of disease identification from crops is automatic detection using methods of image processing and classification algorithms for the diseases to be categorised based on different picture attributes. …”
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DETECTION OF KERATOCONUS DISEASE DEPENDING ON CORNEAL TOPOGRAPHY USING DEEP LEARNING by Aseel Abdulhasan Hashim, Mahdi Mazinani

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Development of Cracked Egg Detection Device Using Electric Discharge Phenomenon by Sung Yong Joe, Jun Hwi So, Seung Eel Oh, Soojin Jun, Seung Hyun Lee

“…Traditional methods for detecting cracks, particularly in processed eggs, often fall short due to changes in the eggs’ physical properties during processing. …”
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RML-YOLO: An Insulator Defect Detection Method for UAV Aerial Images by Zhenrong Deng, Xiaoming Li, Rui Yang

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Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications by Minjun Choi, Gwoncheol Choi, Seungbeom Lee, Tae-Woo Lee, Hea-Lim Park

“…The integration of near-infrared (NIR) light detection with artificial synaptic devices holds immense potential for advancing neuromorphic vision systems, enabling energy-efficient and high-speed data processing beyond conventional von Neumann architectures. …”
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Design of an Efficient Distracted Driver Detection System: Deep Learning Approaches by Naveen Kumar Vaegae, Kranthi Kumar Pulluri, Kalapraveen Bagadi, Olutayo O Oyerinde

“…The proposed DDDS scheme contains the pre-processing module, image augmentation techniques, and two classification modules based on deep learning architectures. …”
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The Effects of Motion on Distributed Detection in Mobile Ad Hoc Sensor Networks by Xusheng Sun, Edward J. Coyle

“…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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Wi-freshness: research on CSI-based pork freshness detecting system by Chao NIU, Weidong YANG, Pengming HU, Xiangshang GAO, Erbo SHEN

“…Effective and rapid detection of pork freshness is important for pork quality.However, traditional sensory evaluation methods are too subjective, physical and chemical analysis methods are time-consuming and destructive.Recently, radio frequency is widely used in the field of location, material identification and human body monitoring, while, the meat freshness detection is ignored.A real-time, non-destructive and low-cost system for pork freshness detecting based on channel state information (CSI) was proposed.It is a new application of internet of things in the field of fresh agricultural products based on ubiquitous network (commercial Wi-Fi).The proposed Wi-freshness consists of four modules: CSI data sensing, data pre-processing, detection modelling and freshness detection.Considering the need for Wi-freshness data characteristic value processing is not much, and high demand for real-time prediction characteristics, a detection model based broad learning system (BLS) was proposed.Experiment shows that Wi-freshness system can achieve more than 93% detection accuracy.…”
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Metal-Oxide-Decorated Mesoporous Silica Chemiresistors for Exhaled Biomarker Detection by Minchul Sung, Min Jun Oh, Tiancheng Wang, Jaeyong Ahn, Joon Hak Oh, Kathleen J. Stebe, Daeyeon Lee, Geelsu Hwang, Jin Woong Kim

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