Network Programming
Network programming focuses on designing and implementing algorithms and architectures for processing information across interconnected nodes, aiming to efficiently solve complex computational problems. Current research emphasizes developing novel network architectures, such as graph neural networks and deep operator networks, and improving existing algorithms through techniques like frequency domain inference and tensor decomposition for faster and more accurate computations. These advancements are significant for diverse applications, including improved recommendation systems, enhanced anomaly detection in network flows, and more accurate causal inference from network data. The field's impact spans various scientific disciplines and practical applications, driving progress in areas like machine learning, signal processing, and social network analysis.
Papers
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving
Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe, M. Victoria Martínez, Unai Martínez-Corral, Óscar Mata Carballeira, Inés del Campo
Integrating Functionalities To A System Via Autoencoder Hippocampus Network
Siwei Luo
Hybrid Discriminative Attribute-Object Embedding Network for Compositional Zero-Shot Learning
Yang Liu, Xinshuo Wang, Jiale Du, Xinbo Gao, Jungong Han
MSEMG: Surface Electromyography Denoising with a Mamba-based Efficient Network
Yu-Tung Liu, Kuan-Chen Wang, Rong Chao, Sabato Marco Siniscalchi, Ping-Cheng Yeh, Yu Tsao
COMPrompter: reconceptualized segment anything model with multiprompt network for camouflaged object detection
Xiaoqin Zhang, Zhenni Yu, Li Zhao, Deng-Ping Fan, Guobao Xiao
A Novel Approach to Image Steganography Using Generative Adversarial Networks
Waheed Rehman
Optimal In-Network Distribution of Learning Functions for a Secure-by-Design Programmable Data Plane of Next-Generation Networks
Mattia Giovanni Spina, Edoardo Scalzo, Floriano De Rango, Francesca Guerriero, Antonio Iera
Real-time Video Target Tracking Algorithm Utilizing Convolutional Neural Networks (CNN)
Chaoyi Tan, Xiangtian Li, Xiaobo Wang, Zhen Qi, Ao Xiang
Landing Trajectory Prediction for UAS Based on Generative Adversarial Network
Jun Xiang, Drake Essick, Luiz Gonzalez Bautista, Junfei Xie, Jun Chen
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks
Wenqiang Xu, Wenrui Dai, Duoduo Xue, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong
Movable Antenna-Equipped UAV for Data Collection in Backscatter Sensor Networks: A Deep Reinforcement Learning-based Approach
Yu Bai, Boxuan Xie, Ruifan Zhu, Zheng Chang, Riku Jantti
Classification of Geographical Land Structure Using Convolution Neural Network and Transfer Learning
Mustafa M. Abd Zaid, Ahmed Abed Mohammed, Putra Sumari
Tailoring the Hyperparameters of a Wide-Kernel Convolutional Neural Network to Fit Different Bearing Fault Vibration Datasets
Dan Hudson, Jurgen van den Hoogen, Martin Atzmueller