Results 111 to 120 of about 5,976 (280)

Mapping the Conformational Landscape of DNA Minicircles Through Atomic Force Microscopy and Shape Space Analysis

Small, EarlyView.
An automated framework is presented for quantifying DNA conformational variability from atomic force microscopy (AFM) images. DNA backbones are reduced to spline representations and analyzed using cyclic Procrustes analysis to measure shape similarity across ensembles.
Laura Wiggins, Tobias A. Firth, Max C. Gamill, Thomas E. Catley, Agnes Noy, Jonathan M. Fogg, Lynn Zechiedrich, Alice L. B. Pyne   +7 more
wiley   +1 more source

A Context‐Aware Decision Support Framework for Scientific Experiment Configuration

Software: Practice and Experience, EarlyView.
ABSTRACT Introduction Defining an experimental configuration is a complex decision problem for early‐stage researchers, who must map goals, constraints, and requirements onto datasets, algorithms, and parameter settings that directly affect experimental outcomes.
Pouriya Miri, Vlado Stankovski, Kristina Veljković, Petar Kochovski   +3 more
wiley   +1 more source

On the Proper Treatment of Dynamics in Cognitive Science

Topics in Cognitive Science, EarlyView., 2023
Abstract This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first ...
Randall D. Beer
wiley   +1 more source

Enterprise Network Security Using Few‐Shot Meta‐Learning

Artificial Intelligence for Engineering, EarlyView.
This paper involves a few‐shot learning study that uses model‐agnostic meta‐learning. A meta‐dataset was curated by combining six benchmark network intrusion detection datasets by parsing network traffic data from PCAP files. An MAML model performs meta‐training, validation and meta‐testing before and after fine‐tuning.
Sushant Jain, Sumukh Gupta, Amit Pundir, Sanjeev Singh, Geetika Jain Saxena   +4 more
wiley   +1 more source

A Modified inverse integer Cholesky decorrelation method and the performance on ambiguity resolution

, 2010
One of the research focuses in the integer least squares problem is the decorrelation technique to reduce the number of integer parameter search candidates and improve the efficiency of the integer parameter search method.
Feng, Yanming, Wang, Charles, Wang, Jun
core  

Orthogonality defect and reduced search-space size for solving integer least-squares problems

, 2013
In the context of ambiguity resolution (AR) of Global Navigation Satellite Systems (GNSS), decorrelation among entries of an ambiguity vector, integer ambiguity search and ambiguity validations are three standard procedures for solving integer least ...
Feng, Yanming, Wang, Jun
core   +1 more source

MIDAS: a methodological framework for high‐speed high‐energy diffraction microscopy data reduction. Part I: methodology

Acta Crystallographica Section A, EarlyView.
This paper details the complete methodological framework implemented in the MIDAS software for processing high‐energy diffraction microscopy (HEDM) data. We describe the specific algorithms, coordinate systems and physical models used for both far‐field and near‐field HEDM analysis.
Hemant Sharma, Jun-Sang Park, Peter Kenesei   +2 more
wiley   +1 more source

Bias-constrained integer least squares estimation: distributional properties and applications in GNSS ambiguity resolution

To accommodate the presence of bounded biases in mixed-integer models, Khodabandeh (2022) extended integer estimation theory by introducing a new admissible integer estimator. The estimator follows the principle of integer least squares estimation and is
Khodabandeh, A. (author), Teunissen, P.J.G. (author)   +1 more
core   +2 more sources

Global meta‐analysis reveals urban‐associated behavioural differences among wild populations

Journal of Animal Ecology, EarlyView.
Urbanization drives rapid phenotypic change, yet broad patterns of behavioural responses remain unclear. Using a global phylogenetic meta‐analysis, we show urban populations exhibit increased boldness, aggression, exploration and activity—especially in birds—highlighting consistent behavioural shifts and revealing major taxonomic gaps that limit our ...
Tracy T. Burkhard, Ned A. Dochtermann, Anne Charmantier   +2 more
wiley   +1 more source

Deep blueprint: A literature review and guide to automated image classification for ecologists

Journal of Animal Ecology, EarlyView.
A practical, literature‐grounded review that gives ecologists a clear, modular workflow for deep learning image classification. With code, GUIs and a novel deep sea case study (automated deep sea biotope classification) it lowers technical barriers and provides a usable blueprint for accelerating, standardising, and scaling ecological image analysis ...
Chloe A. Game, Nils Piechaud, Kerry L. Howell   +2 more
wiley   +1 more source