Towards Predicting the Evolution of Lung Tumors During Radiotherapy Observed on a Longitudinal MR Imaging Study Via a Deep Learning Algorithm.
Sign Up to like & getrecommendations! Published in 2019 at "Medical physics"
DOI: 10.1002/mp.13765
Abstract: PURPOSE To predict the spatial and temporal trajectories of lung tumor during radiotherapy monitored under a longitudinal MRI study via a deep learning algorithm for facilitating adaptive radiotherapy (ART). METHODS We monitored ten lung cancer… read more here.
Keywords: deep learning; study; study via; via deep ... See more keywords
Identification of miRNA-disease associations via deep forest ensemble learning based on autoencoder
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac104
Abstract: Increasing evidences show that the occurrence of human complex diseases is closely related to microRNA (miRNA) variation and imbalance. For this reason, predicting disease-related miRNAs is essential for the diagnosis and treatment of complex human… read more here.
Keywords: via deep; disease; deep forest; disease associations ... See more keywords
Optimizing clinical trials recruitment via deep learning
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American Medical Informatics Association : JAMIA"
DOI: 10.1093/jamia/ocz064
Abstract: OBJECTIVE Clinical trials, prospective research studies on human participants carried out by a distributed team of clinical investigators, play a crucial role in the development of new treatments in health care. This is a complex… read more here.
Keywords: trials recruitment; deep learning; clinical trials; recruitment via ... See more keywords
OpenStreetMap Data Quality Assessment via Deep Learning and Remote Sensing Imagery
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2957825
Abstract: The number of applications associated with OpenStreetMap (OSM), one of the most famous crowd-sourced projects for volunteered geographic information (VGI), have increased because OSM data is both ‘free’ and ‘up-to-date’. However, limited by the ability… read more here.
Keywords: remote sensing; quality; sensing imagery; imagery ... See more keywords
Predicting Scattering From Complex Nano-Structures via Deep Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3012132
Abstract: Existing numerical electromagnetic (EM) solvers are usually computationally expensive, time consuming, and memory demanding. Recent advances in deep learning (DL) techniques have demonstrated superior efficiency and provide an alternative pathway for speeding up simulations by… read more here.
Keywords: predicting scattering; deep learning; scattering complex; via deep ... See more keywords
FM-Based Positioning via Deep Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2024.3413961
Abstract: Frequency Modulation (FM) broadcast signals, regarded as opportunistic signals, hold significant potential for indoor and outdoor positioning applications. The existing FM-based positioning methods primarily rely on Received Signal Strength (RSS) for positioning, the accuracy of… read more here.
Keywords: deep learning; based positioning; via deep; positioning via ... See more keywords
Damages Detection of Aeroengine Blades via Deep Learning Algorithms
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3249247
Abstract: To solve the problem of detecting the damages of aeroengine blades in harsh environments and reduce the aviation safety hazards caused by visual reasons, such as careless observation and delayed reporting of blade damages, the… read more here.
Keywords: via deep; blades via; detection aeroengine; model ... See more keywords
Fast Beamforming Design via Deep Learning
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2019.2949122
Abstract: Beamforming is considered as one of the most important techniques for designing advanced multiple-input and multiple-output (MIMO) systems. Among existing design criterions, sum rate maximization (SRM) under a total power constraint is a challenge due… read more here.
Keywords: via deep; design via; fast beamforming; beamforming design ... See more keywords
Quark model study of doubly heavy Ξ and Ω baryons via deep neural network and hybrid optimization
Sign Up to like & getrecommendations! Published in 2024 at "Modern Physics Letters A"
DOI: 10.1142/s0217732325500610
Abstract: In this work, we investigate the mass spectrum and semileptonic decays of double charm and bottom baryon states using the hypercentral quark model. We solve the six-dimensional Schrödinger equation via deep learning and particle swarm… read more here.
Keywords: via deep; doubly heavy; quark model; heavy baryons ... See more keywords
Toward robust and high-throughput detection of seed defects in X-ray images via deep learning
Sign Up to like & getrecommendations! Published in 2024 at "Plant Methods"
DOI: 10.1186/s13007-024-01195-2
Abstract: The detection of internal defects in seeds via non-destructive imaging techniques is a topic of high interest to optimize the quality of seed lots. In this context, X-ray imaging is especially suited. Recent studies have… read more here.
Keywords: deep learning; detection; seed; seed defects ... See more keywords
Intelligent BIM Searching via Deep Embedding of Geometric, Semantic, and Topological Features
Sign Up to like & getrecommendations! Published in 2025 at "Buildings"
DOI: 10.3390/buildings15060951
Abstract: As a digital representation of buildings, building information models (BIMs) encapsulate geometric, semantic, and topological features (GSTFs), to express the visual and functional characteristics of building components and their connections to create building systems. However,… read more here.
Keywords: geometric semantic; bim searching; semantic topological; intelligent bim ... See more keywords