Computer Weekly

The networks that will turn potential into profit in 2026

What’s ahead in networking over the course of the next 12 months? It will be less a case of a rush to tech, but rather a move from what is possible to what business benefits can be unlocked.
IEEE

A Dual Attention KPConv Network Combined With Attention Gates for Semantic Segmentation of ALS Point Clouds

Abstract: Kernel point convolution (KPConv) defines convolutional weights based on Euclidean distances between kernel points and input points and has shown good segmentation results on several ...
IEEE

MNAT-Net: Multi-Scale Neighborhood Aggregation Transformer Network for Point Cloud Classification and Segmentation

Abstract: Accurate understanding of 3D objects in complex scenes plays essential roles in the fields of intelligent transportation and autonomous driving technology. Recent deep neural networks have ...
IEEE

PN-Internet: Point-and-Normal Interactive Network for Noisy Point Clouds

Abstract: Point cloud denoising and normal estimation are two fundamental yet dependent problems in digital geometry processing. However, both are often independently researched, leading to ...
IEEE

LSTM based Proactive Access Point Selection and Mobility Load Balancing for Ultra-Dense Networks

Abstract: To cater for the growing demand of capacity, Access Point (AP) densification is a promising solution. Within an Ultra Dense Network (UDN), a mobile User Equipment (UE) can associate with one ...
IEEE

On Periodic Point-to-Point Bandwidth Scheduling in High-Performance Networks

Abstract: Today's network services and applications are widely distributed across multiple data centers around the world, and require timely transfer of big data between data centers to ensure the ...
IEEE

MMCNet: Multi-Modal Point Cloud Completion Network Based on Self-Projected Views

Abstract: Obtaining defect-free point cloud data is challenging due to performance constraints of acquisition devices and unavoidable occlusion, making point cloud data completion critical. In recent ...
IEEE

MCTNet: Multiscale Cross-Attention-Based Transformer Network for Semantic Segmentation of Large-Scale Point Cloud

Abstract: In this work, we implement a hybrid method to utilize sufficient information by aggregating both fine-grained and globally contextual features for point cloud semantic segmentation with a ...
IEEE

Point to Point Virtual Private Network Scheme Based on 5G Communication Terminal

Abstract: Aiming at the long-distance trans-regional transmission of power data in the new power system, this paper first analyzes the suitability of 5G communication network and power business, then ...
IEEE

Movable Access Point-Aided Integrated Visible Light Communication and Sensing Networks

Abstract: The emergence of visible light communication (VLC) provides a promising low-cost, radiation-free, and energy-efficient solution to the limited spectrum of wireless networks. However, the ...
IEEE

BICANet: LiDAR Point Cloud Classification Network Based on Coordinate Attention and Blueprint Separation Involution Neural Network

Abstract: With the advent of the era of Industry 4.0 and the continuous development of point cloud data acquisition technology, point cloud data have been widely used in the unmanned distribution of ...
IEEE

Edge Enhancement Oriented Graph Convolutional Networks for Point Cloud Segmentation

Abstract: Aiming at the problem of poor edge effect segmentation in point cloud segmentation, which fails to fully utilize the correlation between the local geometric and semantic features of point ...