Fault detection and diagnosis method for heterogeneous wireless network based on GAN by Xiaorong ZHU, Peipei ZHANG

“…Aiming at the problem that in the process of network fault detection and diagnosis,how to train the precise fault diagnosis and detection model based on small data volume,a fault diagnosis and detection algorithm based on generative adversarial networks (GAN) for heterogeneous wireless networks was proposed.Firstly,the common network fault sources in heterogeneous wireless network environment was analyzed,and a large number of reliable data sets was obtained based on a small amount of network fault samples through GAN algorithm.Then,the extreme gradient boosting (XGBoost) algorithm was used to select the optimal feature combination of input parameters in the fault detection stage and completed fault diagnosis and detection based on these data.Simulation results show that the algorithm can achieve more accurate and efficient fault detection and diagnosis for heterogeneous wireless networks,with an accuracy of 98.18%.…”
Get full text

Federated Deep Learning for Scalable and Privacy-Preserving Distributed Denial-of-Service Attack Detection in Internet of Things Networks by Abdulrahman A. Alshdadi, Abdulwahab Ali Almazroi, Nasir Ayub, Miltiadis D. Lytras, Eesa Alsolami, Faisal S. Alsubaei, Riad Alharbey

“…ResNet improves feature extraction, VGGNet optimises feature refining, and Swin-Transformer captures contextual dependencies, making the model sensitive to complicated attack patterns across varied network circumstances. …”
Get full text

Bridging Biological Multiscale Structure and Biomimetic Ceramic Construction by Jingjiang Wei, Tianyu Yuan, Hang Ping, Fei Pan, Zhengyi Fu

“…The multiscale structural design of organisms can solve this problem, but it still lacks sufficient research and attention. …”
Get full text

The impact of chronic herpes virus infection on the bone system in children by M. A. Telesh, N. Yu. Krutikova, V. V. Sokolovskaya

“…Herpes virus infections currently are urgent problem in infectology, pediatrics and therapy. The feature of these diseases is the possibility of direct and indirect effects of the virus on various organs and systems: immune, nervous, endocrine, bone, in children in particular. …”
Get full text

Interposer-Based ESD Protection: A Potential Solution for μ-Packaging Reliability of 3D Chips by Xunyu Li, Zijin Pan, Weiquan Hao, Runyu Miao, Zijian Yue, Albert Wang

“…Heterogeneous integration (HI) emerges as a pathway towards smart future chips for more Moore time and for beyond-Moore time, featuring systems-on-integrated-chiplets (SoICs) and advanced micro-packaging (μ-packaging). …”
Get full text

Atlantic Multidecadal Variability in a model with an improved North Atlantic Current by Annika Drews, Richard J. Greatbatch

“…We also argue that changing ocean heat transport is an essential feature of our results.…”
Get full text

Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…To solve the problem that the parameter of silicon content ([Si]) in hot mental is difficult to be directly detected and obtained by manual analysis with large time delay, a method of sparse and robust least squares support vector regression (R-S-LS-SVR) was proposed to establish a dynamic model of[Si] with the help of the multi-objective genetic optimization of model parame-ters. …”
Get full text

UPAYA PENANGGULANGAN MASALAH KEMISKINAN MELALUI PERENCANAAN PEMBANGUNAN BERBASIS PERTANIAN TANANAM PANGAN DI KABUPATEN WONOSOBO by Moch Arifien Heri Cahyono

“…Food crops is one asset that can be used to address the problem of poverty. For that we need proper planning for development-oriented poverty problem can be managed properly. …”
Get full text

A machine learning‐based approach for wait‐time estimation in healthcare facilities with multi‐stage queues by Amjed Al‐Mousa, Hamza Al‐Zubaidi, Mohammad Al‐Dweik

“…This is naturally a complex problem as there is a multitude of factors that can impact the wait time. …”
Get full text

Iris image retrieval using partial matching of image blocks by Fahimeh Afkhamnia, Farsad Zamani Boroujeni, Mohammad Reza Soltanaghaei

“…To overcome this problem, this paper presents a novel method for iris image retrieval and recognition based on partial pattern matching. …”
Get full text

Domain Adaptation for Underwater Image Enhancement via Content and Style Separation by Yu-Wei Chen, Soo-Chang Pei

“…To solve this problem, we propose a domain adaptation framework for underwater image enhancement via content and style separation, we aim to separate encoded feature into content and style latent and distinguish style latent from different domains, and process domain adaptation and image enhancement in latent space. …”
Get full text

Ultra-Short Wave Communication Squelch Algorithm Based on Deep Neural Network by Yuanxin Xiang, Yi Lv, Wenqiang Lei, Jiancheng Lv

“…The squelch problem of ultra-short wave communication under non-stationary noise and low Signal-to-Noise Ratio (SNR) in a complex electromagnetic environment is still challenging. …”
Get full text

Incorporating edge convolution and correlative self-attention into graph neural network for material properties prediction by Zexi Yang, Qi Yu, Yapeng Zhan, Jiying Liu

“…This network is able to efficiently extract atomic and bonding feature information, while effectively learning the importance weights of all neighbouring nodes. …”
Get full text

FDIA Detection in Power Grid Based on Opposition-Based Whale Optimization Algorithm and Multi-layer Extreme Learning Machine by Lei XI, Yixiao WANG, Miao HE, Chen CHENG, Xilong TIAN

“…The proposed method not only extends the extreme learning machine into a multi-layer neural network to solve the problem of its limited ability of feature expression, but also introduces the whale optimization algorithm to optimize the number of neurons of the multi-layer extreme learning machine, and uses the opposition-based learning strategy to improve its convergence speed and detection accuracy so as to prevent the influence of randomly determining the number of neurons in each hidden layer on the generalization performance and location detection results of the detection method. …”
Get full text

Depression Analysis and Detection Using Machine Learning: Incorporating Gender Differences in a Comparative Study by Marina Galanina, Anna Rekiel, Anna BaCzyk, Bozena Kostek

“…Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. …”
Get full text

Domain generalization for image classification based on simplified self ensemble learning. by Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

“…Our proposed self-ensemble learning framework, which utilizes a single feature extractor, simplifies this process by alternately training multiple classifiers with shared feature extractors. …”
Get full text

Salient object detection dataset with adversarial attacks for genetic programming and neural networksMendeley Data by Matthieu Olague, Gustavo Olague, Roberto Pineda, Gerardo Ibarra-Vazquez

“…Machine learning is central to mainstream technology and outperforms classical approaches to handcrafted feature design. Aside from its learning process for artificial feature extraction, it has an end-to-end paradigm from input to output, reaching outstandingly accurate results. …”
Get full text

Detection of the Pin Defects of Power Transmission Lines Based on Improved TPH-MobileNetv3 by Mengxuan Li, Jingshan Han, Zhi Yang, Bin Zhao, Peng Liu

“…Given the small size of a pin and many similar components, the detection of such defects is not ideal, which is a technological problem in the identification and diagnosis of power defects. …”
Get full text

Contrastive learning enhanced pseudo-labeling for unsupervised domain adaptation in person re-identification. by Xuemei Bai, Yuqing Zhang, Chenjie Zhang, Zhijun Wang

“…We first enhance the feature representation of the target domain samples based on the contrast learning technique to improve their discrimination in the feature space, thereby enhancing the cross-domain migration performance of the model. …”
Get full text

Intelligent library shelf management system for open-access environments: A CNN-based approach with enhanced image recognition and disorder detection by Xueqi Zhang

“…The study is conducted to solve the problem of unorganized placement of books faced by traditional library management systems in an open-shelf lending environment. …”
Get full text