YOLO-RDM: Innovative Detection Methods for Eggplants and Stems in Complex Natural Environment by Qin Liu, Zhibin Zhou, Lu Xiong, Meilian Lu, Jingwen Ouyang

“…To achieve rapid identification of eggplants and stems in complex environments and enhance overall accuracy, this study establishes a database for eggplants and stems and proposes an efficient detection model based on the YOLOv8n network. First, a lightweight Receptive-Field Attention Convolution (RFAConv) and Mixed Local Channel Attention (MLCA) attention mechanism are used to design the C2f_RM module, replacing the C2f module in YOLOv8n to create a lightweight yet effective model. …”
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EfficientTransformer: A Dynamic Anomaly Detection Model for Industrial Control Networks by Jinyang Liu, Guogang Wang, Xuejun Zong, Bowei Ning, Kan He

“…In this study, we propose a dynamic anomaly detection model for industrial control networks, named EfficientTransformer. …”
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PDSDC: Progressive Spatiotemporal Difference Capture Network for Remote Sensing Change Detection by YeKai Cui, Peng Duan, Jinjiang Li

“…In the field of remote sensing change detection, the dynamic representation of temporal information and the fusion of multisource features have long been key scientific challenges. …”
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MDIGCNet: Multidirectional Information-Guided Contextual Network for Infrared Small Target Detection by Luping Zhang, Junhai Luo, Yian Huang, Fengyi Wu, Xingye Cui, Zhenming Peng

“…Infrared small target detection (ISTD) technology has extensive applications in the military field. …”
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Intelligent Casting Quality Inspection Method Integrating Anomaly Detection and Semantic Segmentation by Min-Chieh Chen, Shih-Yu Yen, Yue-Feng Lin, Ming-Yi Tsai, Ting-Hsueh Chuang

“…In terms of internal defect detection, the GC-AD-Local model we tested achieved 100% accuracy on experimental images, and the results were relatively stable. …”
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Development of agricultural pests detection and identification system based on the technology of wireless transmission by Song Gelian, Han Ruizhen, Zhang Yonghua, He Yong

“…The automatic remote pest-identification system is developed aiming at solving the difficulty of detecting pests in good timing in farmland, which applies modern wireless image and data transaction tools. …”
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Semantic-Aware Remote Sensing Change Detection with Multi-Scale Cross-Attention by Xingjian Zheng, Xin Lin, Linbo Qing, Xianfeng Ou

“…There are two problems in old-school change detection techniques: First, the techniques do not fully use the effective information of the global and local features, which causes their semantic comprehension to be less accurate. …”
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CASSAD: Chroma-Augmented Semi-Supervised Anomaly Detection for Conveyor Belt Idlers by Fahad Alharbi, Suhuai Luo, Abdullah Alsaedi, Sipei Zhao, Guang Yang

“…Most studies on idler fault detection rely on supervised methods, which depend on large labelled datasets for training. …”
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First Detection of the Enigmatic Low Latitude 150‐km Echoes in the UHF Band by Xinan Yue, Junyi Wang, Yonghui Wang, Yihui Cai, Feng Ding, Ning Zhang, Mingyuan Li, Baiqi Ning, Jorge Luis Chau

“…The obtained low signal enhancement (less than 0.5 dB) explains why previous UHF experiments did not detect them. We also found that our measured fine structure shows a much wider forbidden region than previous results and covers a much larger altitudinal and local time region. …”
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U-Sodar: Noncontact Vital Sign Detection Technology Based on Ultrasonic Radar by Shuaiming HUANG, Xiaohua ZHU, Wubin WANG, Heng ZHAO, Hong HONG

“…To address these challenges, this paper introduces a noncontact vital signal collection device using Ultrasonic radar (U-Sodar), including a set of hardware based on a three-transmitter four-receiver Multiple Input Multiple Output (MIMO) architecture and a set of signal processing algorithms. The U-Sodar local oscillator uses frequency division technology with low phase noise and high detection accuracy; the receiver employs front-end direct sampling technology to simplify the involved structure and effectively reduce external noise, and the transmitter uses an adjustable PWM direct drive to emit various ultrasonic waveforms, possessing software-defined ultrasonic system characteristics. …”
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Lightweight hybrid transformers-based dyslexia detection using cross-modality data by Abdul Rahaman Wahab Sait, Yazeed Alkhurayyif

“…Traditional dyslexia detection (DD) relies on lengthy, subjective, restricted behavioral evaluations and interviews. …”
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A Soybean Pod Accuracy Detection and Counting Model Based on Improved YOLOv8 by Xiaofei Jia, Zhenlu Hua, Hongtao Shi, Dan Zhu, Zhongzhi Han, Guangxia Wu, Limiao Deng

“…The proposed YOLOv8n-POD model provides robust support for accurate detection and localization of soybean pods, essential for yield estimation and breeding strategies, and its significant theoretical and practical implications extend its applicability to other crop types, advancing agricultural automation and precision farming.…”
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An attention-enhanced few-shot model for event detection in online social networks by Sielvie Sharma, Tanvir Ahmad, Niyaz Ahmad Wani, Naveed Ahmad, Sadique Ahmad

“…To this end, we proposed AttendFew, a model to detect events in X (formely X) with limited data (Few-shot learning) which detects events while mitigating data dependency, even for unseen events, aligning with the current need for less data and greater adaptability. …”
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A Rapid Sand Gradation Detection Method Based on Dual-Camera Fusion by Shihao Zhang, Yang Zhang, Song Sun, Xinghai Yuan, Haoxuan Sun, Heng Wang, Yi Yuan, Dan Luo, Chuanyun Xu

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GeNIS: A modular dataset for network intrusion detection and classificationZenodo by Miguel Silva, Daniela Pinto, João Vitorino, José Gonçalves, Eva Maia, Isabel Praça

“…The development of artificial intelligence solutions for cyberattack detection and classification require high-quality and representative data. …”
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Tree Top Detection in UAV Data: Evaluating Accuracy of Different Estimation Techniques by A. Hosingholizade, Y. Erfanifard, Y. Erfanifard, S. K. Alavipanah, V. García Millan, S. Pirasteh, S. Pirasteh, A. N. Arslan, A. N. Arslan

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Application of different edge detection methods for faults identification in Anza Basin, Kenya by Gege Li, Qing Chen, Bingqiang Yuan, Xianfeng Tan, Hao Chen, Xiaoyu Huang, Lang Pan

“…However, the traditional potential field boundary identification method has limited ability to detect the boundaries of buried deep geological bodies. …”
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Impacts of Spatial and Temporal Resolution on Remotely Sensed Corn and Soybean Emergence Detection by Feng Gao, Martha Anderson, Rasmus Houborg

“…The findings from this study could benefit remotely sensed crop emergence detection from local to regional scales.…”
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Comparison of Urine and Genital Samples for Detecting Human Papillomavirus (HPV) in Clinical Patients by Hui Yang, Zhao-Yun Luo, Fen Lin, Lie-Jun Li, Min Lu, Long-Xu Xie, Li-Ye Yang

“…Study subjects were recruited from one local hospital in Guangdong of China from September 1, 2011, to June 30, 2012. …”
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Soil Porosity Detection Method Based on Ultrasound and Multi-Scale Feature Extraction by Hang Xing, Zeyang Zhong, Wenhao Zhang, Yu Jiang, Xinyu Jiang, Xiuli Yang, Weizi Cai, Shuanglong Wu, Long Qi

“…Soil porosity, as an essential indicator for assessing soil quality, plays a key role in guiding agricultural production, so it is beneficial to detect soil porosity. However, the currently available methods do not apply to high-precision and rapid detection of soil with a black-box nature in the field, so this paper proposes a soil porosity detection method based on ultrasound and multi-scale CNN-LSTM. …”
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