Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

“…Signature-based detection techniques are now proven unable to cope with the extremely high rate of malware variants' evolution. For this reason, this research suggests a novel method of turning raw network traffic data input (APKS, CSVS, and PCAPS) into visual representations for better malware classification. …”
Get full text

High-Order Graphical Topology Analysis of Brain Functional Connectivity Networks Using fMRI by Qinrui Ling, Aiping Liu, Yu Li, Taomian Mi, Piu Chan, B. T. Thomas Yeo, Xun Chen

“…In this paper, we capture high-order topological features via a graphical topology analysis framework for brain connectivity networks derived from functional Magnetic Resonance Imaging (fMRI). …”
Get full text

Time Series Prediction of Aerodynamic Noise Based on Variational Mode Decomposition and Echo State Network by Zhoufanxing Lei, Haiyang Meng, Jing Yang, Bin Liang, Jianchun Cheng

“…Here, we propose a method combining variational mode decomposition (VMD) and echo state network (ESN) to accurately predict the time series of aerodynamic noise induced by flow around a cylinder. …”
Get full text

Deep Learning for Intelligent and Automated Network Slicing in 5G Open RAN (ORAN) Deployment by Shu-Ping Yeh, Sonia Bhattacharya, Rashika Sharma, Hassnaa Moustafa

“…With this evolution towards AI-based features in the network, the Open RAN (ORAN) specification expanded the network functions virtualization to the RAN intelligence by introducing RAN Intelligent Controller (RIC) to enable AI applications for the network functions. …”
Get full text

Real-Time Fault Diagnosis of Mooring Chain Jack Hydraulic System Based on Multi-Scale Feature Fusion Under Diverse Operating Conditions by Yujia Liu, Wenhua Li, Haoran Ye, Shanying Lin, Lei Hong

“…Hence, this paper proposes a real-time fault diagnosis method of the CJ hydraulic system based on multi-scale feature fusion. Firstly, the model incorporates a convolutional neural network (CNN) layer to extract localized spatial features from multivariate time-series data, effectively identifying fault patterns over the associated short intervals. …”
Get full text

Distributed Strain Sensor Networks for In-Construction Monitoring and Safety Evaluation of a High-Rise Building by X. W. Ye, Y. Q. Ni, Y. X. Xia

Get full text

Analysis on spatial correlation characteristics of transportation carbon intensity of China based on complex network theory by XIE Qing;LIU Jiabao

“…With the help of spatial econometric analysis and complex network theory, this paper quantifies the transportation carbon intensity of provinces in China from 2009 to 2021, analyzes its spatial and temporal characteristics by gini coefficient and kernel density estimation, and studies the structural evolution of spatial correlation networks for every provinces′ transportation carbon intensity by using improved gravity model and network characteristic indices. …”
Get full text

Catchment Coevolution and the Geomorphic Origins of Variable Source Area Hydrology by David G. Litwin, Gregory E. Tucker, Katherine R. Barnhart, Ciaran J. Harman

“…Over long timescales, runoff plays an essential role in shaping these same features through surface erosion. This feedback between erosion and runoff generation suggests that modeling long‐term landscape evolution together with dynamic runoff generation could provide insight into hydrological function. …”
Get full text

Evolutionary Trajectories of Consciousness: From Biological Foundations to Technological Horizons by Evgenii Gusev, Alexey Sarapultsev, Maria Komelkova

“…By clarifying why consciousness arose and how subjectivity shapes complex networks, this perspective also lays the groundwork for exploring possible nonbiological extensions of subjectivity.…”
Get full text

Graph-Aware Multimodal Deep Learning for Classification of Diabetic Retinopathy Images by Amina Zedadra, Ouarda Zedadra, Mahmoud Yassine Salah-Salah, Antonio Guerrieri

“…DRdiag integrates multiple modalities: the Fundus images and the duration of disease evolution which is an important factor in the diagnosis of DR as the duration of the disease directly influences the onset and progression of retinal lesions, leveraging two distinct models: a Convolutional Neural Network (CNN) based on DenseNet121 for image feature extraction and a Graph Neural Network (GNN) for capturing complex relationships between patient features. …”
Get full text

DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…The stereo images acquired by the Zhurong rover along its traverse are used for training and testing the DepthFormer network. Different from regular deep‐learning networks only dealing with three bands (red, green and blue) of images, the DepthFormer incorporates the depth information available from the stereo images as the fourth band in the network to enable more accurate segmentation of various surface features. …”
Get full text

Evolutionary Prediction of Nonstationary Event Popularity Dynamics of Weibo Social Network Using Time-Series Characteristics by Xiaoliang Chen, Xiang Lan, Jihong Wan, Peng Lu, Ming Yang

“…However, the historical patterns cannot cover the systematical time-series dynamic and volatility features in the prediction problems of a social network. …”
Get full text

From Sharing Economy to Sharing Cities Networks: Collaborative/Collective (Re)Actions of Cities to Urban Platformization by Monica Bernardi, Mayo Fuster Morell

“…This is followed by an analysis of cities networks practices. Three typologies of networks are identified – “forerunners”, “dealing with” and “newcomers” – with the focus on an analysis of the “dealing with” category. …”
Get full text

HMS-PAU-IN: A heterogeneous multi-scale spatiotemporal interaction network model for population analysis units by Xiaorui Yang, Rui Li, Jing Xia, Junhao Wang, Hongyan Li, Nixiao Zou

“…However, existing networks are constrained by fixed scales and the absence of temporal dynamics, with insufficient consideration of multi-scale features, thereby limiting their semantic representation and dynamic analysis capabilities. …”
Get full text

Unveiling Hidden Dynamics in Air Traffic Networks: An Additional-Symmetry-Inspired Framework for Flight Delay Prediction by Chao Yin, Xinke Du, Jianyu Duan, Qiang Tang, Li Shen

“…The framework first employs a DenseNet-LSTM module for deep spatio-temporal feature extraction, where DenseNet captures the intricate spatial correlations between airports, and LSTM models the temporal evolution of delays and meteorological conditions. …”
Get full text

Precision Recognition of Rock Thin Section Images With Multi‐Head Self‐Attention Convolutional Neural Networks by Pengfei Lv, Weiying Chen, Xinyu Zou

Get full text

Employing Neural Networks, Fuzzy Logic, and Weibull Analysis for the Evaluation of Recycled Brick Powder in Concrete Compositions by Mohammad Mohtasham Moein, Komeil Rahmati, Ali Mohtasham Moein, Ashkan Saradar, Sam E. Rigby, Amin Akhavan Tabassi

“…Additionally, an impact damage evolution equation was presented for mixtures containing RBP. …”
Get full text

Scientometric analysis of research trends in hemorrhagic fever with renal syndrome: A historical review and network visualization by Bing Xu, Qian Yin, Danfeng Ren, Shaocong Mo, Tianzhi Ni, Shan Fu, Ze Zhang, Taotao Yan, Yingren Zhao, Jinfeng Liu, Yingli He

“…Through co-occurrence analysis, we categorized keywords into eight clusters and 24 sub-clusters, revealing six predominant research themes: Clinical Features, Epidemiology, Mechanisms, Virus, Evolution, and Host. …”
Get full text

Dynamics of recurrent neural networks with piecewise linear activation function in the context-dependent decision-making task by Kononov, Roman Andreevich, Maslennikov, O.  V., Nekorkin, Vladimir Isaakovich

“…An ensemble of neural networks with piecewise linear activation functions was constructed. …”
Get full text

Introduction and Application Analysis of SDN in PTN by Jinkai Tang, Qi Zhang

“…With the features of end-to-end QoS, statistical multiplex and centralized network management, PTN plays an important role in a carrier network. …”
Get full text