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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Detection of chikungunya virus in Aedes aegypti in Ciudad Juárez, Chihuahua, Mexico by Eduardo Hernández-Acosta, Antonio De la Mora Covarrubias, Idelfonso Fernández-Salas, Angélica Escárcega-Ávila, Isabel Passalacqua Olivera, Florinda Jiménez-Vega

“…Background & objectives: Chikungunya fever is caused by an arbovirus transmitted primarily by Aedes aegypti mosquito, which is prevalent in Mexico along with other pathogens carried by this vector. This study aimed to detect the presence of the chikungunya virus (CHIKV) in Ae. aegypti in a vulnerable area of Ciudad Juárez, Chihuahua. …”
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A Smart Device Enabled System for Autonomous Fall Detection and Alert by Jian He, Chen Hu, Xiaoyi Wang

“…The stream data via Bluetooth is then sent to a smart phone, which runs a program based on the k NN algorithm and sliding window to analyze the stream data and detect falls in the background. …”
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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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Webshell malicious traffic detection method based on multi-feature fusion by Yuan LI, Yunpeng WANG, Tao LI, Baoqiang MA

“…Webshell is the most common malicious backdoor program for persistent control of Web application systems, which poses a huge threat to the safe operation of Web servers.For most Webshell detection method based on the request packet data for training, the method for web-based Webshell recognition effect is poorer, and the model of training efficiency is low.In response to the above problems, a Webshell malicious traffic detection method based on multi-feature fusion was proposed.The method was characterized by the three dimensions of Webshell packet meta information, packet payload content and traffic access behavior.Combining domain knowledge, feature extraction of request and response packets in the data stream.Transformed into feature extraction information for information fusion, forming a discriminant model that could detect different types of attacks.Compared with the previous research method, the accuracy rate of the method here in the two classification of normal and malicious traffic has been improved to 99.25%.The training efficiency and detection efficiency have also been significantly improved, and the training time and detection time have been reduced by 95.73% and 86.14%.…”
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“Poetics of Drunkenness” in Popular Literature (on Example of Ironic Detective by Darya Dontsova) by O. A. Dimitrieva

“…The features of verbalization of Bacchic stereotypes of the modern man on the example of the ironic detective by Daria Dontsova are considered. It is noted that the image of a drinking person is associated with certain stereotypes of appearance. …”
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Application of deep learning for rice leaf disease detection in the Mekong Delta by Duc Luu Ngo, Thi Thuy Diem Le, Thi Phuong Anh Ha

“…This paper utilizes an image dataset of three common rice leaf diseases—leaf smut, brown spot, and bacterial leaf blight—and applies deep learning networks (MobileNet and ResNet) to evaluate and select the best model. A diagnostic program is then developed to detect these diseases. …”
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Application of deep learning for rice leaf disease detection in the Mekong Delta by Duc Luu Ngo, Thi Thuy Diem Le, Thi Phuong Anh Ha

“…This paper utilizes an image dataset of three common rice leaf diseases—leaf smut, brown spot, and bacterial leaf blight—and applies deep learning networks (MobileNet and ResNet) to evaluate and select the best model. A diagnostic program is then developed to detect these diseases. …”
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REPrise: de novo interspersed repeat detection using inexact seeding by Atsushi Takeda, Daisuke Nonaka, Yuta Imazu, Tsukasa Fukunaga, Michiaki Hamada

“…However, existing tools do not yet have sufficient repeat detection performance. Results In this study, we developed REPrise, a de novo interspersed repeat detection software program based on a seed-and-extension method. …”
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The Detection of Spatially Resolved Protostellar Outflows and Episodic Jets in the Outer Galaxy by Toki Ikeda, Takashi Shimonishi, Natsuko Izumi, Hiroyuki Kaneko, Satoko Takahashi, Kei E. I. Tanaka, Kenji Furuya, Chikako Yasui

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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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Beyond Detection: A Framework for Transforming Accessibility Evaluations into Implementable Fixes by Paula Palomino, André Araújo, Alenilton Silva, Rafael Araújo, Diego Dermeval, Grace Lis Porto, Sofia Simanke, Thiago Cordeiro, Rodrigo Lisboa

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Early Detection of Apoptosis Using a Fluorescent Conjugate of Annexin V by Guohong Zhang, Vanessa Gurtu, Steven R. Kain, Guochen Yan

“…However, detection of apoptosis at early stages, before gross morphological changes, is critical for understanding the pathways of programmed cell death. …”
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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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