Results 101 to 110 of about 114,074 (272)
Non-Circular Signal DOA Estimation with Nested Array via Off-Grid Sparse Bayesian Learning. [PDF]
Sensors (Basel), 2023 Dong X, Zhao J, Sun M, Zhang X.
europepmc +1 more source
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
SensorsPartially impaired sensor arrays pose a significant challenge in accurately estimating signal parameters. The occurrence of bad data is highly probable, resulting in random loss of source information and substantial performance degradation in parameter ...
Xiaoyu Lan +5 more
doaj +1 more source
Consensus-based sparse signal reconstruction algorithm for wireless sensor networks
International Journal of Distributed Sensor Networks, 2016 This article presents a distributed Bayesian reconstruction algorithm for wireless sensor networks to reconstruct the sparse signals based on variational sparse Bayesian learning and consensus filter.
Bao Peng +3 more
doaj +1 more source
Sparse Bayesian learning-based mainlobe blanket jamming suppression algorithm
The Journal of Engineering, 2019 The suppression of mainlobe jamming (MLJ) is a hard task and an open problem in the electronic counter-countermeasures field. In this article, a sparse Bayesian learning (SBL)-based mainlobe blanket jamming suppression algorithm is proposed for solving ...
Bilei Zhou +4 more
doaj +1 more source
Cramér-Rao Bounds for DoA Estimation of Sparse Bayesian Learning with the Laplace Prior. [PDF]
Sensors (Basel), 2022 Bai H, Duarte MF, Janaswamy R.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Passive Sonar Target Identification Using Multiple-Measurement Sparse Bayesian Learning. [PDF]
Sensors (Basel), 2022 Shin M, Hong W, Lee K, Choo Y.
europepmc +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source