An EfficientNetv2-based method for coal conveyor belt foreign object detection by Tao Hu, Deyu Zhuang, Jinbo Qiu

“…To address the potential gradient disappearance issue during the backpropagation process of the network, an elastic exponential linear unit (EELU) activation function is introduced. Additionally, since the cross-entropy loss function may not be flexible enough to handle complex data distributions and may fail to fit the non-linear relationships between data well, a Polyloss function is adopted. …”
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F-OSFA: A Fog Level Generalizable Solution for Zero-Day DDOS Attacks Detection by Muhammad Rashid Minhas, Qaisar M. Shafi, Shoab Ahmed Khan, Tahir Ahmad, Subhan Ullah, Attaullah Buriro, Muhammad Azfar Yaqub

“…The globalization and digitization of society have caused a surge in network traffic, making reliable online services essential for user trust and system functionality. However, these services face ever-increasing threats, particularly complex and well-developed Distributed Denial of Service (DDoS) attacks. …”
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Mapping Pressure Surge Source in Urban Water Networks: Integrating Low‐ and High‐Frequency Pressure Data With an Illustrative Real Case Study by S. Meniconi, A. Rubin, L. Tirello, A. Doro, B. Brunone, C. Capponi

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Space-Time Trend Detection and Dependence Modeling in Extreme Event Approaches by Functional Peaks-Over-Thresholds: Application to Precipitation in Burkina Faso by Sawadogo Béwentaoré, Diakarya Barro

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Spatio-temporal distribution of soil microbial communities and nutrient availability around a municipal solid waste landfill by Mingye Zhan, Yanqiu Sun, Huanjie Lan, Tao Zhou, Youcai Zhao, Li Yang

“…In soil around the landfill, higher concentrations of total nitrogen (TN), available phosphorus (AP) and available potassium (AK) were observed in the upper layers near the aged landfill areas, whereas higher concentration of total organic carbon (TOC) were detected around fresh landfill area. The distribution of microbial taxa and predicted functional profiles were strongly associated with the nutrients availability. …”
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Multi-Scale Feature Fusion GANomaly with Dilated Neighborhood Attention for Oil and Gas Pipeline Sound Anomaly Detection by Yizhuo Zhang, Zhengfeng Sun, Shen Shi, Huiling Yu

“…Anomaly detection in oil and gas pipelines based on acoustic signals currently faces challenges, including limited anomalous samples, varying audio data distributions across different operating conditions, and interference from background noise. …”
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NHPP Software Reliability Model with Rayleigh Fault Detection Rate and Optimal Release Time for Operating Environment Uncertainty by Kwang Yoon Song, In Hong Chang

“…We proposed a software reliability model (SRM) that considers the uncertainty of software environments and the fault detection rate function as a Rayleigh distribution, with an explicit mean value function solution in the model. …”
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Loss Function Optimization Method and Unsupervised Extraction Approach D-DBSCAN for Improving the Moving Target Perception of 3D Imaging Sonar by Jingfeng Yu, Aigen Huang, Zhongju Sun, Rui Huang, Gao Huang, Qianchuan Zhao

“…For loss function optimization, a density-based loss function is introduced to address the issue of overfitting in dense regions due to the uneven distribution of point cloud data. …”
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Research on real-time monitoring method of mine personnel protective equipment with improved YOLOv8 by Lei ZHANG, Zhipeng SUN, Hongjing TAO, Shangkai HAO, Qianru YAN, Xiwei LI

“…Finally, WIoUv3 is used as the loss function of the model. By dynamically distributing gradient gain, Focus on ordinary anchor frame quality, In the process of model training, the harmful gradient generated by low quality anchor frame is reduced. …”
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Optimal intrusion detection for imbalanced data using Bagging method with deep neural network optimized by flower pollination algorithm by Hussein Ridha Sayegh, Wang Dong, Bahaa Hussein Taher, Muhanad Mohammed Kadum, Ali Mansour Al-madani

“…To handle the problem of imbalance class distribution in intrusion datasets, a roughly-balanced (RB) Bagging strategy is utilized, where DNN models trained by FPA on a cost-sensitive fitness function are used as base learners. …”
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Habitat conditions of reef-forming corals directly affect the spatial distribution and stability in fish and macroinvertebrate communities: A case study of Mischief Reef by Peng Xu, Jianfeng Gan, Lintao Huang, Danping Xie, Feilong Li, Hui Huang

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DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system by G. Usha, H. Karthikeyan, Kumar Gautam, Nikhil Pachauri

“…In this research work, a Distributed Denial of Service attack detection scheme is proposed to protect the Intelligent Transportation System ecosystem, making use of the Adaptive Neuro-Fuzzy Inference System. …”
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Using an ensemble approach to predict habitat of Dusky Grouse ( Dendragapus obscurus ) in Montana, USA by Elizabeth A Leipold, Claire N Gower, Lance McNew

“…Our goal was to explore relationships between Dusky Grouse use and habitat characteristics, and then generate a state-wide map predicting Dusky Grouse habitat in Montana using two methods: resource selection functions and random forest classifiers. The Integrated Monitoring in Bird Conservation Regions program provided a multi-year dataset of Dusky Grouse observations, which we reduced to detected (n=132) and pseudo-absent (n=5960) locations, using geospatial datasets to obtain topographic and vegetation characteristics for each location. …”
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Global properties of a delayed SIR epidemicmodel with multiple parallel infectious stages by Xia Wang, Shengqiang Liu

“…In this paper, we study the global properties of an SIR epidemicmodel with distributed delays, where there are several parallelinfective stages, and some of the infected cells are detected andtreated, which others remain undetected and untreated. …”
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Multi-Channel Power Scheduling Based on Intrusion Detection System Under DDoS Attack: A Starkberg Game Approach by Youwen Yi, Lianghong Peng

“…This study aims to explore the optimal power allocation problem under Distributed Denial of Service (DDoS) attack in wireless communication networks. …”
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Increased Azimuth Resolution by Extrapolating the Antenna Array Aperture Function by Least Squares Linear Prediction Estimation Using Autoregressive Model Coefficients by V. V. Vladimirov

“…It is shown that the problem of increasing the azimuth resolution of a short-wave station for detecting air objects can be successfully solved using linear prediction based on the least-squares method using autoregressive model coefficients for the extrapolation of the AA aperture function. …”
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Comparative Assessment of Functional and Morphological Markers in Guinea Pig (<i>Cavia porcellus</i>) Oocytes Collected at Different Estrous Cycle Phases by Jorge X. Samaniego, José L. Pesántez, Fernando P. Perea, Andrea P. Pazmiño, Jorge B. Dután, Salvador Ruiz

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Density functional theory investigation of CuO/ZnO/CuO heterostructure nanotubes for CO sensing applications by Mahdi Molaei Zarasvand, Mohsen Bagheritabar, Melika Molaei Zarasvand, Milad Yousefizad, Amir Mohammad Shahriyari, Erfan Karimmirza, Zahra Zalnezhad, Negin Manavizadeh, Ebrahim Nadimi

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Castor oil-based molecularly imprinted nanoparticles for the detection of cardiac troponin I: Towards green molecularly imprinted nanoreceptors by Pinar Cakir Hatir, Alice Marinangeli, Alessandra Maria Bossi, Gokhan Cayli

“…Furthermore, GreenNanoMIPs were successfully used for the detection of the cTnI biomarker directly in serum. …”
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Dual-Branch Diffusion Detection Model for Photovoltaic Array and Hotspot Defect Detection in Infrared Images by Ruide Li, Wenjun Yan, Chaoqun Xia

“…By explicitly modeling the dependency distribution between arrays and defects, this loss function effectively reduces false positives in hotspot detection. …”
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