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  1. 101

    BWFER-YOLOv8: An Enhanced Cascaded Framework for Concealed Object Detection by Khalid Ijaz, Ikramullah Khosa, Ejaz A. Ansari, Syed Farooq Ali, Asif Hussain, Faran Awais Butt

    Published 2025-01-01
    “…This paper proposes a novel three-stage cascaded framework named BWFER-YOLOv8, which implements a new alpha-reshuffled bootstrap random sampling method in the first stage, followed by image reconstruction using an adaptive Wiener filter in the second stage. …”
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    Throughput model of Wi-Fi cascading based on saturated TCP traffic by Junxiong ZHANG, Jianzhao LIU, Xiaohu GE, Weimin WU

    Published 2023-09-01
    “…At present, the importance and commercial value of wireless fidelity (Wi-Fi) technology have been widely recognized.And people are also pursuing better quality of service (QoS).Transmission control protocol (TCP) as a connection-oriented communication protocol that provides end-to-end reliability services, its importance is also increasing, and it is the dominant transmission protocol in the Internet.Besides, since the coverage of a single access point (AP) is limited, it is often necessary to extend the coverage through cascading in many scenarios.However, the current research on cascading scenarios is based on the user datagram protocol (UDP), which means that only downlink traffic exists in the scenario.Actually, uplink and downlink traffic often exist at the same time in many scenarios, which means TCP traffic is running.How to calculate the TCP throughput obtained by users in the cascading scenario has always been an unresolved problem.To solve this problem, firstly, a Wi-Fi throughput model under the condition of saturated TCP traffic was established in the cascading scenario, and the calculation of user throughput was realized through two Markov chains.Secondly, a cascading system was built and actual tests were conducted.The validity of the model is verified by comparing the theoretical simulation results with the actual test results.…”
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    Applications of Generalized Cascade Scattering Matrix on the Microwave Circuits and Antenna Arrays by Shun-Feng Cao, Yong-Chang Jiao, Zheng Zhang

    Published 2015-01-01
    “…Based on the algorithm of the generalized cascade scattering matrix, a useful derivation on the excitation coefficients of antenna arrays is firstly proposed with consideration of the coupling effects. …”
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    Face Alignment Algorithm Based on an Improved Cascaded Convolutional Neural Network by Xun Duan, Yuanshun Wang, Yun Wu

    Published 2021-01-01
    “…Aiming at the problem of a large number of parameters and high time complexity caused by the current deep convolutional neural network models, an improved face alignment algorithm of a cascaded convolutional neural network (CCNN) is proposed from the network structure, random perturbation factor (shake), and data scale. …”
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    Plant Trait Composition in Lowland Calcareous and Acidic Semi-Dry Grasslands by Sonja Škornik

    Published 2024-12-01
    “…Using data from 76 vegetation plots of calcareous and acidic semi-dry grasslands in continental Slovenia, the author analysed the composition of plant traits, focusing on less studied belowground traits. …”
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  15. 115

    Photoresponse of Long-Wavelength AlGaAs/GaAs Quantum Cascade Detectors by Liang Li, Dayuan Xiong

    Published 2015-01-01
    “…We study the photoresponse and photocurrents of long-wavelength infrared quantum cascade detectors (QCDs) based on AlGaAs/GaAs material system. …”
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    Implementation of Haar Cascade and Adaboost Algorithms in Photo Classification on Social Networks by Rezty Amalia Aras, Hutami Endang

    Published 2023-06-01
    “…Results: Two of her classification algorithms, Haar Cascade and Adaboost, were used in this study. From the study results, we can conclude that the Haar cascade has a precision rate of 0.7081/s and a detection error of 0.8816/s, while Adaboost has a precision rate of 0.7072/s and a detection error of 0.8424/s. …”
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  19. 119

    Chinese named entity identification using cascaded hidden Markov model by YU Hong-kui1, ZHANG Hua-ping1, LIU Qun1, LV Xue-qiang2, SHI Shui-cai2

    Published 2006-01-01
    “…An approach for Chinese named entity identification using cascaded hidden Markov model,which aimed to incorporate person name,location name,organization name recognition into an integrated theoretical frame was presented.Simple named entity was recognized by lower HMM model after rough segmentation and complex named entity such as person name,location name and organization name was recognized by higher HMM model using role tagging.In the test on large realistic corpus,its F-1 measure of person name,location name and organization name was 92.55%,94.53% and 86.51%.In the first international word segmentation bakeoff held by SIGHAN(the ACL Special Interest Group on Chinese Language Processing) in 2003.ICTCLAS,which name entity identification base on this model achieved excellent score.…”
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