Feasibility of dynamic adaptive passive scattering proton therapy with computed tomography image guidance in the lung
Sign Up to like & getrecommendations! Published in 2017 at "Medical Physics"
DOI: 10.1002/mp.12444
Abstract: Purpose Hypo‐fractionated proton beam therapy (PBT) is an approach that has been increasingly explored over the past decade. It requires high geometric accuracy for targeting of the PBT beams. However, image‐guided PBT is currently commonly… read more here.
Keywords: image; computed tomography; lung; registration ... See more keywords
A Dynamic Adaptive and Resource-Allocated Selection Method Based on TOPSIS and VIKOR in Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "Neural Processing Letters"
DOI: 10.1007/s11063-024-11493-4
Abstract: Federated learning (FL) is a decentralized and privacy-preserving machine learning technique that protects data privacy by learning models locally and not sharing datasets. However, due to limited computing resources on devices and highly heterogeneous data… read more here.
Keywords: adaptive resource; resource; dynamic adaptive; topsis ... See more keywords
DAHDA: Dynamic Adaptive Hierarchical Data Aggregation for Clustered Wireless Sensor Networks
Sign Up to like & getrecommendations! Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-4843-6
Abstract: A Wireless Sensor Network (WSN) has gained a tremendous attention of researchers with its dynamic applications. The constant monitoring of critical scenarios has make WSNs an attractive choice for researchers at a large scale. The… read more here.
Keywords: aggregation; hierarchical data; adaptive hierarchical; wireless sensor ... See more keywords
Dynamic adaptive policymaking for the sustainable city: The case of automated taxis
Sign Up to like & getrecommendations! Published in 2017 at "International journal of transportation science and technology"
DOI: 10.1016/j.ijtst.2017.03.004
Abstract: By 2050, about two-thirds of the world’s people are expected to live in urban areas. But, the economic viability and sustainability of city centers is threatened by problems related to transport, such as pollution, congestion,… read more here.
Keywords: policymaking sustainable; city; automated taxis; adaptive policymaking ... See more keywords
Dynamic Adaptive Two-Dimensional Supramolecular Assemblies for On-Demand Filtration
Sign Up to like & getrecommendations! Published in 2019 at "iScience"
DOI: 10.1016/j.isci.2019.07.007
Abstract: Summary The construction of synthetic two-dimensional (2D) materials designates a pathway to the versatile chemical functionality by spatial control. However, current 2D materials with intelligence of stimuli-responsibility and adaptiveness have been unfledged. The approach reported… read more here.
Keywords: adaptive two; supramolecular assemblies; demand filtration; two dimensional ... See more keywords
Interactive visualization of ocean unsteady flow data based on dynamic adaptive pathline
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2024.2440445
Abstract: ABSTRACT The visualization of flow fields is crucial for comprehending and explaining spatio-temporal geographic processes that encompass diverse fluid phenomena in the ocean. This study presents an interactive visualization algorithm designed for the spatio-temporal correlated… read more here.
Keywords: visualization; unsteady flow; dynamic adaptive; interactive visualization ... See more keywords
Dynamic, adaptive sampling during nanopore sequencing using Bayesian experimental design
Sign Up to like & getrecommendations! Published in 2022 at "Nature Biotechnology"
DOI: 10.1101/2020.02.07.938670
Abstract: Nanopore selective sequencing with real-time decision updates mitigates coverage bias. Nanopore sequencers can select which DNA molecules to sequence, rejecting a molecule after analysis of a small initial part. Currently, selection is based on predetermined… read more here.
Keywords: sequencing using; adaptive sampling; coverage; dynamic adaptive ... See more keywords
NN-Based Dynamic Adaptive Triggered Security Compensation Feedback Control for Implicit Power Systems Subjected to FDI Attacks
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3609853
Abstract: This article investigates neural network (NN)-based dynamic adaptive event-triggered security compensation feedback (SCF) control for implicit power systems (IPSs) subjected to false data injection (FDI) attacks. By introducing a time-varying positive exponential term, a new… read more here.
Keywords: based dynamic; event triggered; fdi attacks; dynamic adaptive ... See more keywords
100Gbps per Channel Dynamic Adaptive Granularity-Aware On-board Optical Switching
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3617009
Abstract: As satellite networks rapidly develop, traditional onboard switching technologies can no longer meet the demands of high-reliability, low-latency, and multigranularity satellite networks. Onboard electronic switching systems encounter the “electro-optical conversion bottleneck,” limiting their ability to… read more here.
Keywords: per channel; granularity; optical switching; dynamic adaptive ... See more keywords
Distributed Online Optimization Under Dynamic Adaptive Quantization
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Circuits and Systems II: Express Briefs"
DOI: 10.1109/tcsii.2024.3362793
Abstract: For distributed online optimization over networked nodes, we propose an algorithm based on one-step gradient descent and multi-step consensus under dynamic adaptive quantization. We propose a dynamic difference encoding-decoding strategy with variable center quantizers and… read more here.
Keywords: adaptive quantization; distributed online; quantization; dynamic adaptive ... See more keywords
Remote Sensing Change Detection Method Based on Dynamic Adaptive Focal Loss
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3392696
Abstract: Deep learning (DL) models for change detection (CD) are affected by the changed/unchanged and hard/easy sample imbalance during the training process. Most of the loss functions for solving the sample imbalance problem are a static… read more here.
Keywords: method; loss; change detection; dynamic adaptive ... See more keywords