Rice-SVBDete: a detection algorithm for small vascular bundles in rice stem’s cross-sections by Xiaoying Zhu, Weiyu Zhou, Jianguo Li, Jianguo Li, Mingchong Yang, Mingchong Yang, Haiyu Zhou, Haiyu Zhou, Jiada Huang, Jiada Huang, Jiahua Shi, Jun Shen, Guangyao Pang, Lingqiang Wang, Lingqiang Wang, Lingqiang Wang

“…Accurate measurement of their structure and distribution is essential for improving rice breeding and cultivation strategies. …”
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Small Target Detection Algorithm for UAV Aerial Images Based on Improved YOLOv7-tiny by ZHANG Guanghua, LI Congfa, LI Gangying, LU Weidang

“…This study proposes a small target detection algorithm for UAV aerial images using a ConvMixer detection head based on the improved YOLOv7-tiny to address the problems of missed detection and false detection caused by significant variations in target scale, densely distributed small-sized targets and complex backgrounds in UAV aerial images.MethodsFirst, the activation function LeakyReLU is replaced with SiLU to compensate for the limited nonlinear expression of LeakyReLU and to enhance convergence speed and model generalization during training. …”
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Distribution et dynamique de la flore ligneuse à la périphérie du Parc national de Waza (Cameroun) by Evaliste Remi Jiagho, Louis Zapfack, Arnaud Ulrich Choumele Kana Jumo

“…On the other hand, the spatial distribution of woody flora is a function of the anthropogenic pressure gradient. …”
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Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System by E. I. Mikhnionok, A. V. Khizniak

“…At the same time, this method provides a solution to the tasks of protecting a critical object with an optoelectronic surveillance system, which must function both in stationary and scanning mode. The use of an improved mixture of Gaussian distributions to build a background model makes it possible to adapt to periodic changes in pixel brightness from dynamic background elements of the observed scene. …”
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Cloning of the Ajcaspase-8 Gene and Its Temporal Expression and Distribution Analyses During Embryonic Development in the Sea Cucumber Apostichopus japonicus by Xiaojing ZHANG, Chanchan ZHANG, Deyou MA, Jiayi LIANG, Meizhu YAO, Ziji LI

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High resolution remote sensing image object detection algorithm based on improved YOLOv8 by ZHANG Xia, QIAO Huanyu, CAO Feng

“…An improved efficient decoupled detection head was designed. Finally, combining NWD and WIoU loss functions, a new loss function NWD-WIoU was designed to accelerate the convergence speed of algorithm detection and improve the detection performance of the algorithm for small objects. …”
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Interdisciplinary framework for cyber-attacks and anomaly detection in industrial control systems using deep learning by Qawsar Gulzar, Khurram Mustafa

“…As a result, models didn’t do well in minority classes but did well in majority classes, which made the intrusion detection system (IDS) less useful. The key objective is to provide insights into the normal functioning of the system and the disruptions produced by cyberattacks. …”
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The Impact of Afterpulsing Effects in Single-Photon Detectors on the Performance Metrics of Single-Photon Detection Systems by Yuanfan Lai, Zongyao Shen, Yong Chen, Jindong Wang, Jianping Guo, Zhengjun Wei

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LCDDN-YOLO: Lightweight Cotton Disease Detection in Natural Environment, Based on Improved YOLOv8 by Haoran Feng, Xiqu Chen, Zhaoyan Duan

“…The LCDDN-YOLO algorithm is based on YOLOv8n, and replaces part of the convolutional layers in the backbone network with Distributed Shift Convolution (DSConv). The BiFPN network is incorporated into the original architecture, adding learnable weights to evaluate the significance of various input features, thereby enhancing detection accuracy. …”
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A Diffusion-Based Detection Model for Accurate Soybean Disease Identification in Smart Agricultural Environments by Jiaxin Yin, Weixia Li, Junhong Shen, Chaoyu Zhou, Siqi Li, Jingchao Suo, Jujing Yang, Ruiqi Jia, Chunli Lv

“…This paper proposes a diffusion-based object detection model that integrates the endogenous diffusion sub-network and the endogenous diffusion loss function to progressively optimize feature distributions, significantly enhancing detection performance for complex backgrounds and diverse disease regions. …”
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Improving Circulating Tumor Cell Detection Using Image Synthesis and Transformer Models in Cancer Diagnostics by Shuang Liang, Xue Bai, Yu Gu

“…To effectively utilize both generated and real data, we introduce an improved loss function that includes a regularization term to ensure consistency across different data distributions. …”
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On the sensing performance improvement in SPR biosensor using ZnO and TMDCs architecture for cancer detection by Elham Jalili Tazekande Janze, Sholeh Alaei, Bahar Meshginqalam

“…Abstract In this study, we have unveiled an SPR biosensor for highly sensitive and rapid detection of cancerous cells employing 2D materials. …”
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Research on the Defect Detection Method of Steel-Reinforced Concrete Based on Piezoelectric Technology and Weight Analysis by Yilong Yu, Yulin Dong, Yulong Jiang, Fan Wang, Qianfan Zhou, Panfeng Ba

“…Aiming at the complex internal working conditions of steel-reinforced concrete structures, this paper proposes an active detection method for the internal hollow defects of steel-reinforced concrete based on wave analysis by using the driving and sensing functions of piezoelectric ceramic materials. …”
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Robust ConvLSTM Model With Deep Reinforcement Learning for Stealth Attack Detection in Smart Grids by Ahmad N. Alkuwari, Abdullatif Albaseer, Saif Al-Kuwari, Marwa Qaraqe

“…The advent of modern electricity distribution systems, comprising digital communication technologies and principles, has triggered a new era of smart grids, in which advanced metering infrastructure plays a crucial role in functions, such as digital monitoring and billing. …”
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A dual-domain perception gate-controlled adaptive fusion algorithm for road crack detection by Ziyang Zhang, Yong’an Feng

“…In response to the persistent high-frequency signature identified within crack feature distributions, a dual-domain structural feature enhancement loss function is designed, which elevates the weighting of high-frequency information by leveraging a spectral weighting matrix, while complementarily enhancing crack edge texture features in the spatial domain through gradient map integration. …”
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A Universal Framework for Near-Real-Time Detection of Vegetation Anomalies from Landsat Data by Yixuan Xie, Zhiqiang Xiao, Juan Li, Jinling Song, Hua Yang, Kexin Lv

“…Vegetation anomalies are frequently occurring and may greatly affect ecological functions. Many near-real-time (NRT) detection methods have been developed to detect these anomalies in a timely manner whenever a new satellite observation is available. …”
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C5aR2 Deficiency Lessens C5aR1 Distribution and Expression in Neutrophils and Macrophages by Ting Zhang, Ning Ma, Jiaxing Wang, Xiaoyun Min, Linlin Wei, Ke Li

“…Our article found C5aR2 deficiency lessened C5aR1 distribution and expression in neutrophils and macrophages with different functions, indicating C5aR2 might function differently in different cells.…”
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A Heterogeneity-Aware Semi-Decentralized Model for a Lightweight Intrusion Detection System for IoT Networks Based on Federated Learning and BiLSTM by Shuroog Alsaleh, Mohamed El Bachir Menai, Saad Al-Ahmadi

“…., memory capacity, processing power, and energy consumption) to function as conventional intrusion detection systems (IDSs). …”
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Mapping traumatic axonal injury using diffusion tensor imaging: correlations with functional outcome. by Virginia Newcombe, Doris Chatfield, Joanne Outtrim, Sarah Vowler, Anne Manktelow, Justin Cross, Daniel Scoffings, Martin Coleman, Peter Hutchinson, Jonathan Coles, T Adrian Carpenter, John Pickard, Guy Williams, David Menon

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Measuring the Three-Dimensional Volume Scattering Functions of Microsphere Suspension: Design and Laboratory Experiments by Wanyan Wang, Kecheng Yang, Wei Li, Long Yu, Wenping Guo, Min Xia

“…The measurement of the volume scattering function (VSF) of suspended particles is an ongoing research topic since it has the potential to provide a rapid, nondestructive means of analyzing hydrosols. …”
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