Results 181 to 190 of about 23,384 (296)

Polynomial Cointegration between Stationary Processes with Long Memory

In this paper we consider polynomial cointegrating relationships between stationary processes with long range dependence. We express the regression functions in terms of Hermite polynomials and we consider a form of spectral regression around frequency ...
Domenico Marinucci, Marco Avarucci
core  

Fast and Generalized Polynomial Time Memory Consistency Verification

, 2008
. The problem of verifying multi-threaded execution against the memory consistency model of a processor is known to be an NP hard problem. However polynomial time algorithms exist that detect almost all failures in such execution. These are often used in
Charles J. Fleckenstein, Stephan Zeisset, John C. Huang, Amitabha Roy   +3 more
core  

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Unified FPGA framework for secure satellite image transmission: adaptive orthogonal moments with integrated confusion-diffusion cryptography. [PDF]

Sci Rep
Mchichou I, Tahiri MA, Amakdouf H, Sayyouri M, Aldakheel EA, Khafaga DS.   +5 more
europepmc   +1 more source

Landscape factors influencing predation on capercaillie nests by two competing mesopredators: pine marten and red fox

Wildlife Biology, EarlyView.
Predation by pine martens Martes martes and red foxes Vulpes vulpes is an important factor influencing the population dynamics of capercaillie Tetrao urogallus. However, there is a knowledge gap regarding the relative effects of these mesopredators on the reproductive success of capercaillie. To better understand how various landscape factors influence
Siow Yan Jennifer Angoh, Scott Michael Brainerd, Olivier Devineau, Morten Odden, Torfinn Jahren   +4 more
wiley   +1 more source

Sequence effects during speech perception reveal multi-accent processing costs. [PDF]

Atten Percept Psychophys
McLaughlin DJ, Colvett JS, Bugg JM, Van Engen KJ.   +3 more
europepmc   +1 more source

Assessing the utility of autonomous recording units and spring point counts for monitoring abundance of ruffed grouse Bonasa umbellus

Wildlife Biology, EarlyView.
The ruffed grouse Bonasa umbellus is a species of conservation concern that has declined across most of its range. At the southeastern trailing edge of the range in Georgia, grouse are restricted to elevations 600 m a.s.l. and abundance is relatively low.
Clayton D. Delancey, William B. Lewis, Gregory T. Wann, Richard B. Chandler, Emily Rushton, James A. Martin   +5 more
wiley   +1 more source

Camera trap distance sampling for density estimation of tiger prey in a Sumatran ecosystem restoration concession

Wildlife Biology, EarlyView.
Estimating prey species densities is critical for implementing effective tiger Panthera tigris recovery strategies. Several statistical models exist for density estimation of unmarked species from camera trap data, all of which rely on the random placement of cameras.
Beno Fariza Syahri, Febri Anggriawan Widodo, Muhammad Rahmad Al Kahfi, Muhammad Rizki Qosyim, Heri Irawan, Dede Hendra Setiawan, Muhammad Ali Imron, Matthew J. Struebig, Nicolas J. Deere, Satyawan Pudyatmoko, Thomas Neill Edward Gray   +10 more
wiley   +1 more source

On the fundamental resource for exponential advantage in quantum channel learning. [PDF]

Nat Commun
Kim M, Oh C.
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source