Global-Local Ensemble Detector for AI-Generated Fake News by Yujia Wang, Wen Long

“…To address this issue, this paper introduces a novel “Global-Local News Detection Model”, which combines BERT, Bidirectional Long Short-Term Memory (BiLSTM) networks, Text Convolutional Neural Networks (TextCNN), and attention mechanisms to enhance the detection of AI-generated fake news. …”
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A Vision-Based Single-Sensor Approach for Identification and Localization of Unloading Hoppers by Wuzhen Wang, Tianyu Ji, Qi Xu, Chunyi Su, Guangming Zhang

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Fusion of Deep and Time–Frequency Local Features for Melanoma Skin Cancer Detection by Hamidreza Eghtesaddoust, Morteza Valizadeh, Mehdi Chehel Amirani

“…This paper presents a new method for MEL detection that considers the combination of deep and handcrafted time–frequency local features. …”
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The effect of enterprise risk management on prevention and detection fraud in Indonesia’s local government by Tarjo Tarjo, Henryan Vishnu Vidyantha, Alexander Anggono, Rita Yuliana, Siti Musyarofah

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Detecting and localizing cervical lesions in colposcopic images with deep semantic feature mining by Li Wang, Ruiyun Chen, Jingjing Weng, Huiping Li, Shi Ying, Jinghui Zhang, Zehao Yu, Chengbin Peng, Siming Zheng

“…ObjectiveThis study aims to investigate the feasibility of employing artificial intelligence models for the detection and localization of cervical lesions by leveraging deep semantic features extracted from colposcopic images.MethodsThe study employed a segmentation-based deep learning architecture, utilizing a deep decoding network to integrate prior features and establish a semantic segmentation model capable of distinguishing normal and pathological changes. …”
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HGLFNet: Hybrid Global Semantic and Local Detail Feature Network for Lane Detection by Lei Ding, Chunhui Tang, Yi Fang

“…To address these challenges, this paper introduces a novel Hybrid Global Semantic and Local Detail Feature Network (HGLFNet), designed to enhance lane detection accuracy and robustness in complex scenarios. …”
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A Multi-Domain Feature Fusion CNN for Myocardial Infarction Detection and Localization by Yunfan Chen, Jinxing Ye, Yuting Li, Zhe Luo, Jieqiang Luo, Xiangkui Wan

“…Myocardial infarction (MI) is a critical cardiovascular disease characterized by extensive myocardial necrosis occurring within a short timeframe. Traditional MI detection and localization techniques predominantly utilize single-domain features as input. …”
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DETECTION OF TOXOPLASMOSIS AND SOME RISK FACTORS WITH THE INFECTION RATE IN LOCAL AND SHAMI GOATS by E.H. Madi, F.R. Al-Samarai, Y. M. A. Maaeni, A.M. Abdel-Ghany

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A Fallback Localization Algorithm for Automated Vehicles Based on Object Detection and Tracking by Mario Rodriguez-Arozamena, Jose Matute, Javier Araluce, Lukas Kuschnig, Christoph Pilz, Markus Schratter, Joshue Perez Rastelli, Asier Zubizarreta

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Military Vehicle Object Detection Based on Hierarchical Feature Representation and Refined Localization by Yan Ouyang, Xinqing Wang, Ruizhe Hu, Honghui Xu, Faming Shao

“…In response to the poor performance of traditional detection algorithms in military vehicle detection, we propose a military vehicle detection method based on hierarchical feature representation and reinforcement learning refinement localization, referred to as MVODM. …”
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Infrared Small Target Detection Based on Density Peak Search and Local Features by Leihong Zhang, Hui Yang, Qinghe Zheng, Yiqiang Zhang, Dawei Zhang

“…The detection of small infrared targets is still a challenging task and efficient and accurate detection plays a key role in modern infrared search and tracking military applications. …”
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An Infrared Small Target Detection Algorithm Utilizing Joint Local Contrast Measure by Qing Zhao, Jiawen Liao, Derui Zhang

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An Experimental Evaluation Based on Direction Finding Specification for Indoor Localization and Proximity Detection by Michele Girolami, Fabio Mavilia, Francesco Furfari, Paolo Barsocchi

“…Radio-frequency technologies have been largely explored to deliver reliable indoor localization systems. However, at the current stage, none of the proposed technologies represent a de-facto standard. …”
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MDS-Based Wormhole Detection Using Local Topology in Wireless Sensor Networks by Xiaopei Lu, Dezun Dong, Xiangke Liao

“…In this work, we attempt to relax the limitations in prior work, and propose a novel approach to detect wormhole attacks by only local topology information in WSNs. …”
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Robust face forgery detection integrating local texture and global texture information by Rongrong Gong, Ruiyi He, Dengyong Zhang, Arun Kumar Sangaiah, Mohammed J. F. Alenazi

“…To achieve this, we devise a two-stream detection architecture that integrates texture features and RGB features. …”
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Complementary Local–Global Optimization for Few-Shot Object Detection in Remote Sensing by Yutong Zhang, Xin Lyu, Xin Li, Siqi Zhou, Yiwei Fang, Chenlong Ding, Shengkai Gao, Jiale Chen

“…Few-shot object detection (FSOD) in remote sensing remains challenging due to the scarcity of annotated samples and the complex background environments in aerial images. …”
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Artificial Intelligence in Cable Fault Detection and Localization: Recent Advances and Research Challenges by Qianqiu Shao, Songhai Fan, Zongxi Zhang, Fenglian Liu, Zhengzheng Fu, Pinlei Lv, Zhou Mu

“…With the large-scale integration of new power systems and distributed generators (DGs), cable fault detection and localization face numerous challenges, where artificial intelligence (AI) techniques demonstrate significant advantages. …”
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Deterministic local multi-point fault detection method for industrial control topology by Ruozhou LIANG, Xibin ZHAO, Hai WAN

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Mechanics-informed autoencoder enables automated detection and localization of unforeseen structural damage by Xuyang Li, Hamed Bolandi, Mahdi Masmoudi, Talal Salem, Ankush Jha, Nizar Lajnef, Vishnu Naresh Boddeti

“…We present a novel “deploy-and-forget” approach for automated detection and localization of damage in structures. …”
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Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion by Xiaobin Zhao, Jun Huang, Yunquan Gao, Qingwang Wang

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