Evaluating Security Anomalies by Classifying Traffic Using a Multi-Layered Model by Mohammadreza Samadzadeh, Najmeh Farajipour Ghohroud

“…In the second step, the proposed method uses the features extracted by the autoencoder from a hybrid deep-learning model based on the CNN and LSTM algorithms to classify network traffic. …”
Get full text

Longitudinal evaluation of common and unique brain-networks in variants of primary progressive aphasia by Rajan Kashyap, Rose Dawn Bharath, Changsong Zhou, Kyrana Tsapkini, John E. Desmond, SH Annabel Chen, Kaviraja Udupa, PT Sivakumar, Sagarika Bhattacharjee

“…Since the subset of these subjects was scanned at the 6th and 12th months, the longitudinal changes in the rsfMRI networks were evaluated at each interval. Network features were correlated with clinical behaviours, and the longitudinal impact of the changes in these networks on behaviours was evaluated over the 12-month period. …”
Get full text

Tunnel Crack Segmentation Algorithm Based on Feature Enhancement by Lihua Feng, Aijun Yao, An Huang

“…Firstly, a novel Dynamic Feature Enhancement Network (DFEN) module is designed to extract preliminary features using a feature extractor and selectively enhance feature representations through a gating mechanism. …”
Get full text

Anomaly Detection Approach Based on Deep Neural Network and Dropout by Zaid Hussien et al.

“…They monitor and analyze network traffics, looking for abnormal behaviors or attack signatures to detect intrusions in early time. …”
Get full text

Implementation and Evaluation of WLAN 802.11ac for Residential Networks in NS-3 by Andy Bubune Amewuda, Ferdinand Apietu Katsriku, Jamal-Deen Abdulai

“…We also evaluate the average throughput, delay, jitter, optimum range for goodput, and effect of station (STA) density per access point (AP) in a network. ns-3, an open source network simulator with features supporting 802.11ac, was used to perform the simulation. …”
Get full text

The node importance evaluation method based on graph convolution in multilayer heterogeneous networks by Zhixing Chen, Jian Shu, Linlan Liu

“…Node importance evaluation is a hot issue in complex network analysis. …”
Get full text

Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins by Ahmed Elbeltagi, Abdullah A. Alsumaiei, Ali Raza, Mustafa Al-Mukhtar, Salim Heddam

Get full text

Research on the policy inconsistency, network motifs and low carbon effects for municipal solid waste management by Bo Lv, Tianxu Cui, Daiheng Li, Weiyue Yao

“…This study combines the policy consistency formula, a four-node network motif evolution algorithm, and the Exponential Random Graph Model (ERGM), analyzing MSWM green network motifs with carbon emission data. …”
Get full text

Research on Objective Evaluation of Recording Audio Restoration Based on Deep Learning Network by Cong Jin, Wei Zhao, Hongliang Wang

“…Based on the deep learning network, this paper designs an objective quality evaluation system for historical audio and video data and evaluates the performance of the system and the audio signal quality from the perspective of feature extraction and network parameter selection. …”
Get full text

The Effective Evaluation of Emotions in the Visual Emotion Images Using Convolutional Neural Networks by Modestas Motiejauskas, Gintautas Dzemyda

“…This effectively improves the recognition of emotions when training a convolutional neural network against the baseline. The proposed contrastive-center loss function optimizes deep neural networks by enhancing feature discriminability. …”
Get full text

Optimizing Solar Radiation Prediction with ANN and Explainable AI-Based Feature Selection by Ibrahim Al-Shourbaji, Abdalla Alameen

“…This paper presents an Artificial Neural Network (ANN) model optimized using feature selection techniques based on Explainable AI (XAI) methods to enhance SR prediction performance. …”
Get full text

Research on traffic representation in network anomaly detection by SUN Jianwen, ZHANG Bin, CHANG Heyu

“…Subsequently, the evolution of traffic representation in network anomaly detection was systematically reviewed, providing a comprehensive analysis of its forms, feature learning, and application in anomaly detection both globally and domestically. …”
Get full text

Evaluation of the Features of Geographical and Biogeotourism Heritage of Landscapes in Order to Develop Wetland Ecotourism in the International Wetlands of Hormozgan by Monireah Ashrafi, Abbas Moradi, Mohammad Akbarian, Marziyeh Rezaei

“…In examining the suitability of areas for tourism in Indonesia, the factors of water clarity and clarity, ocean currents, beach type, layer and beach typology were evaluated (1). Other researches have been conducted on topics such as Nebkazar Sirik and other mandabi ecosystems of Hormozgan and its relationship with tourism, but so far no research has been conducted on the biogeotourism features of landscapes in the international wetlands of Hormozgan. …”
Get full text

RaNet: a residual attention network for accurate prostate segmentation in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…To address these challenges, we propose RaNet (Residual Attention Network), a novel framework based on ResNet50, incorporating three key modules: the DilatedContextNet (DCNet) encoder, the Multi-Scale Attention Fusion (MSAF), and the Feature Fusion Module (FFM). …”
Get full text

Evaluation of Feature Selection and Regression Models to Predict Biomass of Sweet Basil by Using Drone and Satellite Imagery by Luana Centorame, Nicolò La Porta, Michela Papandrea, Adriano Mancini, Ester Foppa Pedretti

Get full text

SIG-ShapeFormer: A Multi-Scale Spatiotemporal Feature Fusion Network for Satellite Cloud Image Classification by Xuan Liu, Zhenyu Lu, Bingjian Lu, Zhuang Li, Zhongfeng Chen, Yongjie Ma

“…However, most existing models—such as those based on convolutional neural networks (CNNs), Transformer architectures, and their variants like Swin Transformer—primarily focus on spatial modeling of static images and do not explicitly incorporate temporal information, thereby limiting their ability to effectively integrate spatiotemporal features. …”
Get full text

Landslide susceptibility evaluation and determination of critical influencing factors in eastern Sichuan mountainous area, China by Lin Zhang, Zhengxi Guo, Shi Qi, Tianheng Zhao, Bingchen Wu, Peng Li

“…Landslide susceptibility evaluation and determination of critical influencing factors is a prerequisite for preventing hazardous risks, especially in landslide-prone mountainous areas. …”
Get full text

A Hierarchical Feature-Based Time Series Clustering Approach for Data-Driven Capacity Planning of Cellular Networks by Vineeta Jain, Anna Richter, Vladimir Fokow, Mathias Schweigel, Ulf Wetzker, Andreas Frotzscher

“…To evaluate the effectiveness of HFTSC, we conduct a comprehensive case study using real-world data from thousands of network elements. …”
Get full text

Leveraging Multi-Modality and Enhanced Temporal Networks for Robust Violence Detection by Gwangho Na, Jaepil Ko, Kyungjoo Cheoi

“…Additionally, we refine the multi-scale temporal network (MTN) to improve feature extraction across multiple temporal scales between video snippets. …”
Get full text

Dynamic facial expression recognition integrating spatiotemporal features by LIU Baobao, TAO Lu, YANG Jingjing, WANG Heying

“…To address the challenges of extracting key facial features and capturing the dynamic changes of expressions in natural environments, a network model based on keyframes, named three-dimensional resnet and attention mechanism with GRU (TDRAG) was proposed. …”
Get full text