Results 111 to 120 of about 1,448,495 (301)

Unsupervised hyperspectral band selection in the compressive sensing domain

, 2019
Band selection (BS) algorithms are an effective means of reducing the high volume of redundant data produced by the hundreds of contiguous spectral bands of Hyperspectral images (HSI).
Chang, Chein-I, Porta, Charles Della, Bekit, Adam, Xue, Bai, Lampe, Bernard   +4 more
core   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Sparse Signal Recovery from Fixed Low-Rank Subspace via Compressive Measurement

Algorithms, 2013
This paper designs and evaluates a variant of CoSaMP algorithm, for recovering the sparse signal s from the compressive measurement  given a fixed low-rank subspace spanned by U.
Jun He, Ming-Wei Gao, Lei Zhang, Hao Wu
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

A Transnasal Endoscope for Robotically Assisted Gastroscopy

Advanced Robotics Research, EarlyView.
This work introduces a 4.25 mm diameter magnetically navigated transnasal endoscope for upper gastrointestinal (GI) screening and intervention. The system enables precise remote steering throughout the upper GI tract and is demonstrated through in vitro and in vivo experiments, including the robotic execution of preprogrammed retroflexions, trans ...
Alexandre Mesot, Michelle Mattille, Sean Lyttle, Shannon M. Chan, Philip W. Y. Chiu, Quentin Boehler, Bradley J. Nelson   +6 more
wiley   +1 more source

Gonadotropin‐Inhibitory Hormone (GnIH) and Its Receptor GPR147 Mediates Acute Stress‐Induced Activation of the Locus Coeruleus‐SAM Axis

Advanced Science, EarlyView.
ABSTRACT Gonadotropin‐inhibitory hormone (GnIH, also known as RFamide‐related peptide‐3, RFRP‐3) is a hypothalamic neuropeptide that regulates vertebrate reproduction via its receptor GPR147. Although GnIH is known to mediate stress‐induced reproductive suppression, its role in broader stress responses remains unclear.
Jiani Zhang, Hongyu Zhu, Wenqi Wang, Bingqian Shen, Yuanyuan Xin, Xingxing Song, Xuanyi Lu, Lixuan Li, Siting Chen, Xiaochen Zhang, Jialing Zeng, Haodong Zheng, Jianlong Lao, Ke Peng, Yixian Wei, Jiaming Zheng, Chuanhuo Hu, Xiaoye Wang, Xun Li   +18 more
wiley   +1 more source

GB-SAR Interferometry Based on Dimension-Reduced Compressive Sensing and Multiple Measurement Vectors Model

, 2018
To reduce the data acquisition time and the high-level sidelobes produced by conventional focusing methods for ground-based synthetic aperture radar interferometry, we present a new method to provide accurate displacement maps based on the dimension ...
Feng W, Sato M, Nico G
core   +1 more source

Co‐Delivery of Sustained Release Chondroitinase ABC‐37 With Human iPSC‐Derived Neural Progenitors Promotes Transplant Survival and Functional Recovery in a Rodent Model of Stroke

Advanced Science, EarlyView.
A regenerative strategy for stroke combines human stem cell–derived neural progenitor cells with sustained release of a matrix‐modifying, thermostable chondroitinase ABC‐37 enzyme. In a rat model of stroke, co‐delivery enhanced transplanted cell survival and neuronal differentiation, degraded inhibitory extracellular matrix components, and improved ...
Nitzan Letko Khait, David Xinzheyang Li, Keyi Guo, Hong Cui, Quinton Sirianni, Dhana Abdo, Cindi M. Morshead, Molly S. Shoichet   +7 more
wiley   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Compressive Sensing in Power Engineering: A Comprehensive Survey of Theory and Applications, and a Case Study

Journal of Sensor and Actuator Networks
Compressive Sensing (CS) is a transformative signal processing framework that enables sparse signal acquisition at rates below the Nyquist limit, offering substantial advantages in data efficiency and reconstruction accuracy.
Lekshmi R. Chandran, Ilango Karuppasamy, Manjula G. Nair, Hongjian Sun, Parvathy Krishnan Krishnakumari   +4 more
doaj   +1 more source