Model Selection Approach for Distributed Fault Detection in Wireless Sensor Networks by Mrinal Nandi, Anup Dewanji, Bimal Roy, Santanu Sarkar

“…In this paper, we consider the problems of distributed fault detection in wireless sensor network (WSN). …”
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Numerical and experimental studies for crack detection of a beam-like structure using element stiffness index distribution method by Nguyen Viet Khoa, Quang Van Nguyen, Nguyen Dinh Kien, Cao Van Mai, Dao Thi Bich Thao

“… In this paper, numerical and experimental studies for crack detection of structures using "element stiffness index distribution" are presented. …”
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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…Considering that smart vehicles are becoming interconnected through the Internet of Vehicles, cybersecurity threats like Distributed Denial of Service (DDoS) attacks pose a great challenge. …”
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Target Detection with Distributed Terahertz Sensors by Yang Yu, Jin Li, Xiaobo Yang

“…The distributed target detection system with multiple Terahertz sensors is presented. …”
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A Tale of Many Networks: Splitting and Merging of Chord-like Overlays in Partitioned Networks by Tobias Amft, Kalman Graffi

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Unsupervised selective labeling for semi-supervised industrial defect detection by Jian Ge, Qin Qin, Shaojing Song, Jinhua Jiang, Zhiwei Shen

“…This work proposes the unsupervised spectral clustering labeling (USCL) method to optimize SSL for industrial challenges like defect variability, rarity, and complex distributions. …”
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An Intelligent Distributed Channel Selection Framework with Hybrid Mode Selection for Interference Mitigation in D2D based 5G Networks by Abdullilah A. Alotaibi, Salman A. AlQahtani

“…In this paper, an intelligent distributed channel selection framework (IDCSF) in D2D communication for 5G networks with hybrid selection modes of D2D is proposed to help DUs select the best channel for transmission to mitigate interference. …”
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Daytime Equatorial Spread F‐Like Irregularities Detected by HF Doppler Receiver and Digisonde by B. Olugbon, E. O. Oyeyemi, A. Kascheyev, A. B. Rabiu, A. A. Obafaye, O. O. Odeyemi, A. O. Adewale

“…This study presents two rare daytime ESF‐like events which occurred over an interval ∼2 h and were detected by the HF Doppler receiver located in Lagos (LAG: geographic: 3.27°E, 6.48°N; dip latitude −1.72°) and the Lowell Digisonde at Ilorin (ILR; 4.68°E, 8.50°N; dip latitude −1.25°), managed by Lowell GIRO Data Center (LGDC). …”
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DEM-based topographic change detection considering the spatial distribution of errors by Yufeng He, Shaohua Lei, Wen Dai, Xi Chen, Bo Wang, Yehua Sheng, Hui Lin

“…Digital Elevation Model (DEM) errors tend to be spatially correlated, inevitably affecting DEM-based topographic change detection. Traditional topographic change detection methods often ignore the spatial distribution of the DEM error. …”
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Leak detection and localization in water distribution systems via multilayer networks by Daniel Barros, Ariele Zanfei, Andrea Menapace, Gustavo Meirelles, Manuel Herrera, Bruno Brentan

“…The Dynamic Time Warping algorithm calculates the similarity between monitored and simulated leak data, identifying likely leak locations. The results demonstrate the methodology’s effectiveness, detecting anomalies 15 minutes after the start of the leak and locating them within a 50-meter range from the actual location of the leak. …”
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Spatial and seasonal distribution of selected nitrogen cycle genes in deep waters of the Baltic Proper by Michał Grabski, Michał Grabski, Ewa Kotlarska, Aneta Łuczkiewicz, Konrad Hryniewicz, Grzegorz Węgrzyn, Beata Szymczycha

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Characterization of the diversity, genomic features, host bacteria, and distribution of crAss-like phages in the pig gut microbiome by Yaxiang Wang, Chao Wei, Zhe Chen, Mengqing Zhou, Lusheng Huang, Congying Chen

“…However, few studies have been found in pigs, and the distribution of crAss-like phages across broader pig populations remains unknown. …”
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Detecting Out-of-Distribution Samples in Complex IoT Traffic Based on Distance Loss by Chengye Zhao, Jinxin Zuo, Mingrui Fan, Yun Cai, Yueming Lu, Chonghua Wang

“…Out-of-distribution (OOD) detection is critical for securing Internet of Things (IoT) systems, particularly in applications such as intrusion detection and device identification. …”
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Food selection and vertical distribution of pelagic whitefish Coregonus lavaretus (L.) in Lake Tyrifjorden, Norway by Jostein Skurdal, Dag O. Hessen, Dag Berge

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Probabilistic inference and Bayesian‐like estimation in animals: Empirical evidence by Thomas J. Valone

“…I examine three aspects of empirical work that shed light on the idea that animals can make such decisions in a Bayesian‐like manner. First, many animals are sensitive to variance differences in behavioral options, one metric used to characterize frequency distributions. …”
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Isolation and characterization of a roseophage representing a novel genus in the N4-like Rhodovirinae subfamily distributed in estuarine waters by Xingyu Huang, Chen Yu, Longfei Lu

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Modified Index Policies for Multi-Armed Bandits with Network-like Markovian Dependencies by Abdalaziz Sawwan, Jie Wu

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Experimental study on smoke temperature distribution and thermal-driven propagation in groove-like spaces under different fan arrangements by Sinian Gu, Houyang Liu, Yang Wang, Zhichao Yu, Yunji Gao

“…In order to explore the fire smoke temperature and propagation characteristics of the groove space under the overpass considering different fan spacing arrangements, a series of gas fire experiments were carried out in the reduced fire experiment platform of groove-like space. Three fire source powers and four fan arrangement conditions are selected. …”
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Patterns of genetic diversity in five species of Passeriformes co-distributed in an environmental gradient by Marcela Restrepo-Arias, Héctor F. Rivera-Gutiérrez, Iván Darío Soto-Calderón, Ernesto Pérez-Collazos, Catalina González-Quevedo

“…Both species' distribution ranges and environmental gradients can influence this diversity through mechanisms such as gene flow, selection, and genetic drift. …”
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Distributed Denial of Service Attack Detection in Software-Defined Networks Using Decision Tree Algorithms by Ali Zaman, Salman A. Khan, Nazeeruddin Mohammad, Abdelhamied A. Ateya, Sadique Ahmad, Mohammed A. ElAffendi

“…Thus, SDNs allow far more flexibility and maintainability compared to conventional device-dependent architectures. Unfortunately, like their predecessors, SDNs are prone to distributed denial of service (DDoS) attacks. …”
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