Results 101 to 110 of about 5,839,842 (237)
Fine-grained Metrics for Point Cloud Semantic Segmentation [PDF]
Two forms of imbalances are commonly observed in point cloud semantic segmentation datasets: (1) category imbalances, where certain objects are more prevalent than others; and (2) size imbalances, where certain objects occupy more points than others ...
Lu, Zhuheng +4 more
core +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Unstructured road semantic segmentation method based on 3D point cloud of open pit mine
In recent years, under the gradual implementation of mine intelligence-related initiatives, the mining industry has developed towards intelligence and unmanned development.
Caiwu LU +6 more
doaj +1 more source
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha +9 more
wiley +1 more source
Semantic Segmentation and Roof Reconstruction of Urban Buildings Based on LiDAR Point Clouds
In urban point cloud scenarios, due to the diversity of different feature types, it becomes a primary challenge to effectively obtain point clouds of building categories from urban point clouds.
Xiaokai Sun +5 more
doaj +1 more source
MAPFL: Modular Adaptive Personalised Federated Learning From Visual Sentiment to Physical Activity
ABSTRACT Human‐centric sensing tasks such as visual sentiment analysis and smartphone‐based human activity recognition (HAR) exhibit strong client heterogeneity from feature, label, and concept shifts. Among these, concept shift—how individual users interpret and generate human‐centric signals—is particularly challenging yet underexplored in federated ...
Chang Liu +4 more
wiley +1 more source
From 2D image segmentation to 3D point cloud segmentation for large-scale outdoor scene understanding [PDF]
Semantic image segmentation (SiS) and point cloud segmentation (PCS) aim to separate an image and a point cloud into coherent and meaningful parts, respectively. Both tasks play an important role in robotics and autonomous driving vehicles.
Chen, Bike
core +1 more source
SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation
ABSTRACT Sequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category, semantics, 6D pose or affordance to enhance consistency, yet single‐feature ...
Yaxin Liu +7 more
wiley +1 more source
Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation [PDF]
Existing interactive point cloud segmentation approaches primarily focus on the object segmentation, which aim to determine which points belong to the object of interest guided by user interactions. This paper concentrates on an unexplored yet meaningful
Zhang, Peng +4 more
core +1 more source
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley +1 more source

