A Garbage Detection and Classification Method Based on Visual Scene Understanding in the Home Environment by Yuezhong Wu, Xuehao Shen, Qiang Liu, Falong Xiao, Changyun Li

“…Garbage classification is a social issue related to people’s livelihood and sustainable development, so letting service robots autonomously perform intelligent garbage classification has important research significance. Aiming at the problems of complex systems with data source and cloud service center data transmission delay and untimely response, at the same time, in order to realize the perception, storage, and analysis of massive multisource heterogeneous data, a garbage detection and classification method based on visual scene understanding is proposed. …”
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Application research of sample data generation based on improved Cycle-GAN in intrusion detection by ZENG Qingpeng, GUO Hangkai

“…This indicates that the proposed method effectively addressed the problems of slow data updates and insufficient samples for certain intrusion categories in intrusion detection.…”
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Integrated neural network framework for multi-object detection and recognition using UAV imagery by Mohammed Alshehri, Tingting Xue, Tingting Xue, Ghulam Mujtaba, Yahya AlQahtani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…Combining several advanced models ensures that the system works smoothly even when dealing with problems like people being covered up and varying sizes.…”
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Intelligent Recognition and Parameter Estimation of Radar Active Jamming Based on Oriented Object Detection by Jiawei Lu, Yiduo Guo, Weike Feng, Xiaowei Hu, Jian Gong, Yu Zhang

“…The core idea of the method is to reformulate the jamming perception problem as an object detection task in computer vision, and we pioneer the application of oriented object detection to this problem, enabling simultaneous jamming classification and key parameter estimation. …”
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ICEEMDAN–VMD denoising method for enhanced magnetic memory detection signal of micro-defects by Shouhong Ji, Jie Yan, Yang Liu, Guojun He

“…When variational mode decomposition (VMD) is employed independently for signal denoising, the denoising effect is restricted because of the difficulty in determining the penalty factor α and the number of decomposition layers m. To solve these problems, a denoising method for enhanced magnetic memory detection signals based on ICEEMDAN and VMD, called ICEEMDAN–VMD, is proposed in this paper. …”
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DC-tCNN: A Deep Model for EEG-Based Detection of Dim Targets by Liangwei Fan, Hui Shen, Fengyu Xie, Jianpo Su, Yang Yu, Dewen Hu

“…<italic>Objective:</italic> Dim target detection in remote sensing images is a significant and challenging problem. …”
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Unmanned Aerial Vehicle Anomaly Detection Based on Causality-Enhanced Graph Neural Networks by Chen Feng, Jun Fan, Zhiliang Liu, Guang Jin, Siya Chen

“…With the widespread application of unmanned aerial vehicles (UAVs), the safety detection system of UAVs has created an urgent need for anomaly detection technology. …”
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A Method for On-Board Fire Detection Based on the Integration of Expert Systems and Neural Networks by F. Wang, R. Yue, R. Sun, F. Liu, X. Kong

“…Based on the intelligent detection application requirements for onboard fire targets, this paper focuses on solving the problems of the existing fire detection models, such as the difficulty in eliminating high-reflective objects and other false fire targets, the large data volume when using multi-band combinations that cannot ensure onboard processing timeliness, and the poor environmental adaptability of existing fire detection schemes. …”
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Research review on intelligent object detection technology for coal mines based on deep learning by Fan ZHANG, Jiarong ZHANG, Haixing CHENG

“…However, deep learning object detection has a strong dependence on annotated datasets, and there are problems such as poor model interpretability and computational complexity. …”
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Face Detection Method based on Lightweight Network and Weak Semantic Segmentation Attention Mechanism by Xiaoyan Wu

“…A face detection method based on lightweight network and weak semantic segmentation attention mechanism is proposed in this paper, aiming at the problems of low detection accuracy and slow detection speed in face detection in complex scenes. …”
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Simultaneous vehicular location and velocity detection towards 6G integrated communication and sensing by Bingpeng ZHOU, Shanshan MA

“…., signal bandwidth, the number of transceiver antenna and sub-carriers, on RSS performance was evaluated as well.It was verified by simulations that the proposed RSS algorithm outperformed state-of-the-art baseline methods due to the employed problem-specific system design.In addition, it was shown by simulations that the achieved RSS error was reduced with the increasing of sub-carrier frequency, the number of transceiver antennas and sub-carriers, and it was increased with the increasing distance between base station and vehicle receiver.Particularly, the vehicle location estimation accuracy was increasing with system bandwidth, but it was invariant with central carrier frequency, since only baseband features of received signal were employed for vehicle localization.In contrast, the vehicle velocity detection accuracy was increasing with central carrier frequency, yet it was insensitive to system bandwidth, given the fixed number of sub-carriers.…”
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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

“…Therefore, we adopted and enhanced RetinaNet to detect masses in mammogram images. Specifically, we introduced a novel modification to the network structure, where the feature map M5 is processed by the ReLU function prior to the original convolution kernel. …”
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Human Activity Detection Events Through Human Eye Reflection using Bystander Analyzer by P. Nagalakshmi

“…The main barrier to the accurate detection of human movement remains to the perspective problem, which results from the fact that video sequences are frequently shot from random camera angles. …”
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The clinical significance of the features of the morphological study and immunohistochemical determination of pancytokeratin in the lymph nodes of the central zone in papillary thy... by D.  A. Galushko, H.  G. Asmaryan, N.  V. Melnikova, I.  A. Lazukina

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Incipient Fault Detection of Rolling Element Bearings Based on Deep EMD-PCA Algorithm by Huaitao Shi, Jin Guo, Zhe Yuan, Zhenpeng Liu, Maxiao Hou, Jie Sun

“…Due to the relatively weak early fault characteristics of rolling bearings, the difficulty of early fault detection increases. For unsolving this problem, an incipient fault detection method based on deep empirical mode decomposition and principal component analysis (Deep EMD-PCA) is proposed. …”
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Multi-Scale Twin Networks for Coastal Zone Change Detection in Remote Sensing Imagery by Peiqi Zhu, Xiaoyi Jiang, Qi He, Longfei Zhao, Yu Hong, Xue Guo, Hanrui Sun

“…The experimental results show that our method achieves the highest scores in several evaluation metrics, demonstrating significant advantages in accuracy and generalization and effectively addressing the category imbalance problem. It provides a robust solution for coastal zone change detection.…”
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Detection and analysis of organic contaminants in potable water based on three-dimensional fluorescence spectroscopy by CHEN Fang, ZHANG Xiaoyan, HUANG Pingjie, HOU Dibo, ZHANG Guangxin, ZHAO Jiajia, HE Jiping

“…Support vector machine was applied to classify measured samples based on feature information of relative concentration value, which can distinguish normal water samples from the ones polluted by organics.Through the analysis of the experimental results, we could find that the method effectively detects the water samples contaminated by organics. …”
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eUF: A framework for detecting over-the-air malicious updates in autonomous vehicles by Anam Qureshi, Murk Marvi, Jawwad Ahmed Shamsi, Adnan Aijaz

“…In this work, we are motivated to address this problem. We develop an enhanced uptane framework for detection of malicious OTA software updates in autonomous vehicles. …”
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ResCapsnet: a capsule network with CRAM and BiGRU for sound event detection by Bing Sun, Chenglong Liu, Shuguo Yang, Wenwu Wang, Yiduo Mei

“…Abstract Sound event detection (SED) is a challenging task where ambient sound events are detected from a given audio signal, which includes categorizing the events and estimating their onset and offset times. …”
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A Spatio-Temporal Attention Network With Multiframe Information for Infrared Small Target Detection by Donghui Liu, Wenlong Zhang, Zicheng Feng, Xiaoliang Sun, Rui Zhang, Yang Shang

“…Most algorithms focus solely on extracting features from the spatial domain. However, this approach often leads to suboptimal detection performance. …”
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