Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…The proposed model preprocesses data by standardization, handling missing values, and encoding categorical features. It leverages GNNs to model spatial dependencies and interactions within IoT networks and utilizes XGBoost to distill complex features for predictive analysis. …”
Get full text

Improving kidney segmentation in pathological images: a multiscale approach to resolve fragmentation and incomplete boundaries by Muhammad Wajeeh Us Sima, Chengliang Wang, Muhammad Arshad, Jamshed Ali Shaikh, Reem Ibrahim Alkanhel, Dina S. M. Hassan, Ammar Muthanna

“…InFeNet combines advanced Residual Networks with multi-scale feature extraction and refinement, incorporating correlations among spatial features to optimize feature maps. …”
Get full text

Research on Bearing Fault Diagnosis Method for Varying Operating Conditions Based on Spatiotemporal Feature Fusion by Jin Wang, Yan Wang, Junhui Yu, Qingping Li, Hailin Wang, Xinzhi Zhou

“…To address this issue, this paper proposes a spatiotemporal feature fusion domain-adaptive network (STFDAN) framework for bearing fault diagnosis under varying operating conditions. …”
Get full text

A study of pipeline parallelism in deep neural networks by Gabriel Núñez, Hairol Romero-Sandí, Elvis Rojas, Esteban Meneses

“…We analyze important aspects of these libraries such as their implementation and features. In addition, we evaluated them experimentally, carrying out parallel trainings and taking into account aspects such as the number of stages in the training pipeline and the type of balance. …”
Get full text

Neural network models for whisper to normal speech conversion by Cézar Yamamura, Paulo Scalassara, Marco Oliveira, Aníbal Ferreira

“…The system is developed using multilayer perceptron networks and two types of generative adversarial networks. …”
Get full text

cytoNet: Spatiotemporal network analysis of cell communities. by Arun S Mahadevan, Byron L Long, Chenyue W Hu, David T Ryan, Nicolas E Grandel, George L Britton, Marisol Bustos, Maria A Gonzalez Porras, Katerina Stojkova, Andrew Ligeralde, Hyeonwi Son, John Shannonhouse, Jacob T Robinson, Aryeh Warmflash, Eric M Brey, Yu Shin Kim, Amina A Qutub

“…We introduce cytoNet, a cloud-based tool to characterize cell populations from microscopy images. cytoNet quantifies spatial topology and functional relationships in cell communities using principles of network science. Capturing multicellular dynamics through graph features, cytoNet also evaluates the effect of cell-cell interactions on individual cell phenotypes. …”
Get full text

An egonet based approach to effective weighted network comparison by Carlo Piccardi

“…Abstract With the impressive growth of network models in practically every scientific and technological area, we are often faced with the need to compare graphs, i.e., to quantify their (dis)similarity using appropriate metrics. …”
Get full text

Efficient Deterministic Anchor Deployment for Sensor Network Positioning by Yongle Chen, Ci Chen, Hongsong Zhu, Limin Sun

“…Sensor network positioning systems have been extensively studied in recent years. …”
Get full text

Multi-branch network for double JPEG detection and localization by Ahmed M. Fouad, Hala H. Zayed, Ahmed Taha

“…This paper proposes a multi-branch convolutional neural network and compares it with single-branch models to demonstrate its effectiveness in detecting double JPEG compression. …”
Get full text

FUSCANet: Enhancing Skin Disease Classification Through Feature Fusion and Spatial-Channel Attention Mechanisms by Qinyang Liu, Xuan Wang, Hongjiu Liu, Xiangzhen Zang, Lei Li, Zhanlin Ji, Ivan Ganchev

“…In response to this need, a novel lightweight neural network model, called Feature fUsion and Spatial-Channel Attention Network (FUSCANet) model, is proposed in this paper, based on the MobileViT framework, aiming at classifying multi-class skin disease images on mobile or embedded devices. …”
Get full text

UAV rice panicle blast detection based on enhanced feature representation and optimized attention mechanism by Shaodan Lin, Deyao Huang, Libin Wu, Zuxin Cheng, Dapeng Ye, Haiyong Weng

“…Results The ConvGAM model, leveraging the ConvNeXt-Large backbone network and the Global Attention Mechanism (GAM), achieves outstanding performance in feature extraction, crucial for detecting small and complex disease patterns. …”
Get full text

Models, systems, networks in economics, engineering, nature and society by A.D. Stolyarov, V.V. Gordeev, V.I. Abramov

Grinding wheel wear evaluation with the PMSCNN model by Sumei Si, Zekai Si, Deqiang Mu, Hailiang Tang

Get full text

Trust-Based Anomaly Detection in Emerging Sensor Networks by Renyong Wu, Xue Deng, Rongxing Lu, Xuemin (Sherman) Shen

“…However, due to the openness of wireless media and the inborn self-organization feature of WSNs, that is, frequent interoperations among neighbouring nodes, network security has been tightly related to data credibility and/or transmission reliability, thus trust evaluation of network nodes is becoming another interesting issue. …”
Get full text

Generative adversarial networks (GANS) for generating face images by Dolly Indra, Muh Wahyu Hidayat, Fitriyani Umar

“…Generative Adversarial Networks (GANs), a type of deep learning model, have demonstrated remarkable capabilities in generating high-quality synthetic images through a competitive training process between a generator, which creates new data, and a discriminator, which evaluates its authenticity. …”
Get full text

Sustainable Transmitters for High-Capacity Metro-Access Networks by Stefano Gaiani, Alberto Gatto, Paola Parolari, Pierpaolo Boffi

“…The simulations evaluate the performance of the various architectures in terms of capacity as a function of the propagation distance (up to 50 km), comparing also the associated signal to noise ratio curves. …”
Get full text

Development of Robot Feature for Stunting Analysis Using Long-Short Term Memory (LSTM) Algorithm by Muhammad Rahadian Abdurrahman, Halim Al Aziz, Farras Adhani Zayn, Muhammad Agus Purnomo, Heru Agus Santoso

Get full text

Attention residual network for medical ultrasound image segmentation by Honghua Liu, Peiqin Zhang, Jiamin Hu, Yini Huang, Shanshan Zuo, Lu Li, Mailan Liu, Chang She

“…Additionally, a spatial hybrid convolution module is integrated to augment the model’s ability to extract global information and deepen the vertical architecture of the network. During the feature fusion stage of the skip connections, a channel attention mechanism and a multi-convolutional self-attention mechanism are respectively introduced to suppress noisy points within the fused feature maps, enabling the model to acquire more information regarding the target region. …”
Get full text

A Self-Supervised Monocular Depth Estimation Framework Based on Detail Recovery and Feature Fusion by Shun Li, Chongzheng Huang, Xiangzhe Li, Zhengyou Liang

“…Specifically, ASAM selectively emphasizes critical features and spatial locations in images to enhance the model’s ability to capture details. …”
Get full text

Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines by Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang

“…Combining the characteristics of dust concentration data and the concept of multimodal information integration modeling, a support vector machine (SVM)‐long short‐term memory (LSTM) network was chosen to build a data feature‐driven dust concentration combination prediction model. …”
Get full text