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A deep learning based detection algorithm for anomalous behavior and anomalous item on buses.
Sci Rep
January 2025
School of Electrical and Control Engineering, North China University of Technology, Beijing, China.
This paper proposes a new strategy for analysing and detecting abnormal passenger behavior and abnormal objects on buses. First, a library of abnormal passenger behaviors and objects on buses is established. Then, a new mask detection and abnormal object detection and analysis (MD-AODA) algorithm is proposed.
View Article and Find Full Text PDFDirect Evidence of Anomalous Peierls Transition-Induced Charge Density Wave Order at Room Temperature in Metallic NaRu2O4.
Microsc Microanal
January 2025
Stuttgart Center for Electron Microscopy, Max Planck Institute for Solid State Research, Heisenbergstraße 1, Stuttgart 70569, Germany.
In the field of quantum materials, understanding anomalous behavior under charge degrees of freedom through bond formation is of fundamental importance, with two key concepts: Dimerization and charge order at different cation sites. The coexistence of both dimerization and charge ordering is unusually found in NaRu2O4, even in its metallic state at room temperature. Our work unveils the origin of the interplay of these effects within metallic single-crystalline NaRu2O4.
View Article and Find Full Text PDFMeta-atoms: From Metamaterials to Metachips.
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January 2025
State Key Laboratory of Millimeter Waves, Southeast University, Nanjing 211189, China.
Electromagnetic (EM) metamaterials represent a cutting-edge field that achieves anomalously macroscopic properties through artificial design and arrangement of microstructure arrays to freely manipulate EM fields and waves in desired ways. The unit cell of a microstructure array is also called a meta-atom, which can construct effective medium parameters that do not exist in traditional materials or are difficult to realize with traditional technologies. By deep integration with digital information, the meta-atom is evolved to a digital meta-atom, leading to the emergence of information metamaterials.
View Article and Find Full Text PDFHarnessing advanced hybrid deep learning model for real-time detection and prevention of man-in-the-middle cyber attacks.
Sci Rep
January 2025
Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India.
Article Synopsis
- The increasing use of connected devices in smart homes has heightened security risks, particularly from Man-in-the-Middle (MitM) attacks, which can go undetected.
- Traditional security methods struggle to manage these complex threats, highlighting the need for more advanced intrusion detection systems.
- The AEXB Model, a hybrid deep learning approach combining AutoEncoder for feature extraction and XGBoost for classification, achieves 97.24% accuracy in detecting MitM attacks, while also enabling real-time threat responses and continuous protection.
Pancreaticobiliary Maljunction and Its Relationship with Biliary Cancer: An Updated and Comprehensive Systematic Review and Meta-Analysis on Behalf of TROGSS-The Robotic Global Surgical Society.
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January 2025
Department of Surgery, Nacogdoches Medical Center, Nacogdoches, TX 75965, USA.
Objective: This systematic review and meta-analysis aimed to determine the degree to which pancreaticobiliary maljunction (PBM) increases the risk of different types of biliary cancer (BC).
Methods: A systematic review and meta-analysis were carried out using the following databases: PubMed, Embase, Cochrane Library, Scopus, Web of Science, and Science Direct. We systematically searched from inception to April 2024.
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