Coordinated Jamming and Poisoning Attack Detection and Mitigation in Wireless Federated Learning Networks by Sofia Barkatsa, Maria Diamanti, Panagiotis Charatsaris, Stefanos Voikos, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

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FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

“…Change detection (CD) aims to explore surface changes in coaligned image pairs. …”
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First Hitting Times on a Quantum Computer: Tracking vs. Local Monitoring, Topological Effects, and Dark States by Qingyuan Wang, Silin Ren, Ruoyu Yin, Klaus Ziegler, Eli Barkai, Sabine Tornow

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Non-operative management of locally advanced rectal cancer with an emphasis on outcomes and quality of life: a narrative review by In Ja Park

“…Non‑operative management, particularly the watch and wait (WW) strategy, has emerged as an alternative to total mesorectal excision for selected patients with locally advanced rectal cancer who achieve a clinical complete response (cCR) after neoadjuvant treatment. …”
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Self-Localization Method Using a Single Acoustic Ranging Sensor Based on Impulse Response and Doppler Effect by Atsushi Tsuchiya, Naoto Wakatsuki, Tadashi Ebihara, Keiichi Zempo, Koichi Mizutani

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Stereo Visual Odometry and Real-Time Appearance-Based SLAM for Mapping and Localization in Indoor and Outdoor Orchard Environments by Imran Hussain, Xiongzhe Han, Jong-Woo Ha

“…The proposed system leverages stereo image pairs for precise depth estimation while utilizing RTAB-Map’s graph-based SLAM framework with loop-closure detection to ensure global map consistency. In addition, an incorporated inertial measurement unit (IMU) enhances pose estimation, thereby improving localization accuracy. …”
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Attention-based multi-scale convolution and conformer for EEG-based depression detection by Ze Yan, Ze Yan, Ze Yan, Yumei Wan, Xin Pu, Xiaolin Han, Mingming Zhao, Haiyan Wu, Wentao Li, Xueying He, Yunshao Zheng

“…The Conformer module further captures both global and local temporal dependencies in EEG signals to ensure the capture of long-range dependencies and local patterns. …”
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Anomaly detection algorithm based on fractal characteristics of large-scale network traffic by XU Xiao-dong1, ZHU Shi-rui2, SUN Ya-min1

“…Based on the fractal structure of the large-scale network traffic aggregation, anomalies were analyzed qualitatively and quantitatively from perspective of the global and local scaling exponents.Multi-fractal singular spectrum and Lipschitz regularity distribution were used to analyze the fractal parameters of abnormal flow, trying to identify the relationship between the changes of these parameters and the emergence of anomalies.Experimental results show that the emergence of anomalies has obvious signs on the singular spectrum and Lipschitz regularity distribution.Using this feature, a new multi-fractal-based anomaly detection algorithm and a new detection framework were constructed.On the DARPA/Lincoln laboratory intrusion detection evaluation data set 1999, this algorithm’s detection rate is high at low false alarm rate, which is better than EMERALD.…”
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Development of alternative models for early detection of religiously legitimated anarchism in Bali Province by Ni Nyoman Lisna Handayani

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Study on the fusion of improved YOLOv8 and depth camera for bunch tomato stem picking point recognition and localization by Guozhu Song, Jian Wang, Rongting Ma, Yan Shi, Yaqi Wang

“…This research meets the needs of string tomato picking robots in fruit stalk target detection and provides strong support for the development of string tomato picking technology.…”
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Bloodthirsty bites: host-feeding patterns of phlebotomine sand flies from two localities in the Aegean Region of Türkiye by Metin Pekagirbas, Fatma Bursali, Serkan Bakirci

“…Results All the samples collected from Aydin blood fed from Bos taurus whereas females sampled from Mugla locality blood-fed from Canis lupus (8/15) and Gallus domesticus (7/15). …”
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The Role of Open-Source Data in Disaster Preparedness and Response. A Case Study on Flood Impact in Local Communities by A. Oyetunde, G. Neziri

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LGFaware-meshing: online mesh reconstruction from LiDAR point cloud with awareness of local geometric features by Yaoqian Niu, Hao Chen, Jun Li, Chun Du, Jiangjiang Wu, Yunsheng Zhang

“…Recently, online mesh reconstruction from light detection and ranging (LiDAR) measurements has garnered significant interest because of its high efficiency. …”
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Advanced Persistent Threats and Wireless Local Area Network Security: An In-Depth Exploration of Attack Surfaces and Mitigation Techniques by Hosam Alamleh, Laura Estremera, Shadman Sakib Arnob, Ali Abdullah S. AlQahtani

“…Wireless Local Area Networks (WLANs), particularly Wi-Fi, serve as the backbone of modern connectivity, supporting billions of devices globally and forming a critical component in Internet of Things (IoT) ecosystems. …”
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Modern Detection of Prostate Cancer's Bone Metastasis: Is the Bone Scan Era Over? by Bertrand Tombal, Frederic Lecouvet

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A Method for Fault Localization in Distribution Networks with High Proportions of Distributed Generation Based on Graph Convolutional Networks by Xiping Ma, Wenxi Zhen, Haodong Ren, Guangru Zhang, Kai Zhang, Haiying Dong

“…It still shows strong robustness in noisy environments and is significantly higher than convolutional neural networks and other methods in terms of model localization accuracy, training time, F1 score, AUC value, and single fault detection inference time, which has good potential for practical application.…”
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Intelligent Detection Algorithm for Concrete Bridge Defects Based on SATH–YOLO Model by Lanlin Zou, Ao Liu

“…Amid the era of intelligent construction and inspection, traditional object detection models like YOLOv8 struggle in bridge defect detection due to high computational complexity and limited speed. …”
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High-Accuracy Robot Indoor Localization Scheme Based on Robot Operating System Using Visible Light Positioning by Weipeng Guan, Shihuan Chen, Shangsheng Wen, Zequn Tan, Hongzhan Song, Wenyuan Hou

“…Meanwhile, high accuracy localization is very important for mobile robots in various scenes including industrial, domestic and public transportation workspace. …”
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Toll Fraud Detection of VoIP Service Networks in Ubiquitous Computing Environments by Kyung-Il Kim, Taegu Kim, Nam-Wook Cho, Minsoo Kim

“…Our results show the outlier detection method can be effective in detecting fraud calls. …”
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Structural edge damage detection based on wavelet transform and immune genetic algorithm by Jianwei Zhao, Zhuo Zhou, Deqing Guan, Liang Gong

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