Results 81 to 90 of about 145,155 (289)

Channel-Optimized Vector Quantizer Design for Compressed Sensing Measurements

, 2013
We consider vector-quantized (VQ) transmission of compressed sensing (CS) measurements over noisy channels. Adopting mean-square error (MSE) criterion to measure the distortion between a sparse vector and its reconstruction, we derive channel-optimized ...
Chatterjee, Saikat, Shirazinia, Amirpasha, Skoglund, Mikael   +2 more
core   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Expandable Nanocomposite Shape‐Memory Hemostat for the Treatment of Noncompressible Hemorrhage

Advanced Science, EarlyView.
A nanocomposite‐coated shape memory foam rapidly expands, accelerates clotting, and reduces blood loss in vivo. Its fast volumetric expansion and strong procoagulant activity make it a promising hemostat for treating deep, noncompressible hemorrhage.
Saptarshi Biswas, Sarah E. Miller, Shounak Roy, Jeevika Thazhaiselvam, Samantha Foster, Manivannan Sivaperuman Kalairaj, Sasha M. George, Yava Jones‐Hall, Staci J. Horn, Fred J. Clubb, Taylor H. Ware, Duncan J. Maitland, Akhilesh K. Gaharwar   +12 more
wiley   +1 more source

Robust transceiver design for MIMO relay systems with tomlinson harashima precoding [PDF]

, 2012
In this paper we consider a robust transceiver design for two hop non-regenerative multiple-input multiple-output (MIMO) relay networks with imperfect channel state information (CSI).
Millar, Andrew Paul, Stewart, Robert, Weiss, Stephan   +2 more
core  

CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions

Advanced Science, EarlyView.
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng, Xin Qin, Jiahao Zhang, Wuliang Huang, Yiyang Zhang, Wentao Cui, Yao Chen, Shirui Li, Wenhao Liu, Yao Tian, Yana Liu, Jingxi Dong, Ping Xu, Zhenpeng Man, Guole Liu, Zhongming Liang, Xinlong Jiang, Xiaodong Yang, Pengfei Wang, Ge Yang, Hongmei Wang, Xuezhi Wang, Ming‐Han Tong, Yuanchun Zhou, Shihua Zhang, Yiqiang Chen, Yong Wang, Xin Li   +27 more
wiley   +1 more source

Quantitative Assessment of Brix in Grafted Melon Cultivars: A Machine Learning and Regression-Based Approach

Foods
The article demonstrates the Brix content of melon fruits grafted with different varieties of rootstock using Support Vector Regression (SVR) and Multiple Linear Regression (MLR) model approaches.
Uğur Ercan, Ilker Sonmez, Aylin Kabaş, Onder Kabas, Buşra Calık Zyambo, Muharrem Gölükcü, Gigel Paraschiv   +6 more
doaj   +1 more source

The Asymptotic Performance of Linear Echo State Neural Networks [PDF]

, 2016
In this article, a study of the mean-square error (MSE) performance of linear echo-state neural networks is performed, both for training and testing tasks.
Ali, Hafiz Tiomoko, Couillet, Romain, Sevi, Harry, Wainrib, Gilles   +3 more
core   +2 more sources

Divergent Responses of Bacterial Communities to Permafrost Degradation and Their Associations With Carbon Across Vertical Profiles

Advanced Science, EarlyView.
Bacterial α‐diversity decreases, but stochasticity and community stability increase across the 15 m‐depth vertical profiles and along the degraded gradient within the active layer. The abundance and interaction of core taxa mainly control community stability in the active and permafrost layers, respectively.
Shengyun Chen, Yuzheng Gu, Ali Bahadur, Enyan Liu, Tonghua Wu, Xiaofan Zhu, Yuanqiang Zou, Hewei Liang, Peijie Wei, Linwei Wu, Qingbai Wu, Peizhi Yang, Hongyan Yu, Yunfeng Yang   +13 more
wiley   +1 more source

DualPG‐DTA: A Large Language Model‐Powered Graph Neural Network Framework for Enhanced Drug‐Target Affinity Prediction and Discovery of Novel CDK9 Inhibitors Exhibiting in Vivo Anti‐Leukemia Activity

Advanced Science, EarlyView.
This study introduces DualPG‐DTA, a framework integrating two pre‐trained models to generate molecular and protein representations. It constructs dual graphs processed by specialized neural networks with dynamic attention for feature fusion, achieving superior benchmark performance.
Yihao Chen, Jindi Huang, Cong Liu, Shipeng Zhang, Xinze Li, Zhang Zhang, Tie‐Gen Chen, Ling Wang   +7 more
wiley   +1 more source

Kernel Methods for Small Sample and Asymptotic Tail Inference for Dependent, Heterogeneous Data [PDF]

This paper considers tail shape inference techniques robust to substantial degrees of serial dependence and heterogeneity. We detail a new kernel estimator of the asymptotic variance and the exact small sample mean-squared-error, and a simple ...
Jonathan Hill
core