Results 151 to 160 of about 70,459 (296)

Comparison of Conventional, Rake, and Sonar‐Based Biophysical Habitat Measurements in a Shallow Ontario River

River Research and Applications, EarlyView.
ABSTRACT Knowledge of habitat availability is critically important for the management and recovery of freshwater species. Quantifying habitat availability often requires fine‐scale sampling at point‐based locations across a large geographic extent, which can be laboursome.
Karl A. Lamothe, Jason Barnucz, D. Andrew R. Drake   +2 more
wiley   +1 more source

Goodness-Of-Fit Test for Nonparametric Regression Models: Smoothing Spline ANOVA Models as Example. [PDF]

Comput Stat Data Anal, 2018
Teran Hidalgo SJ, Wu MC, Engel SM, Kosorok MR.   +3 more
europepmc   +1 more source

Search and Passage Are Decoupled for Migrating Trout Kelts at Multi‐Exit Dam

River Research and Applications, EarlyView.
ABSTRACT Longitudinal and lateral river connectivity have been drastically reduced over time, with hydropower development as a major driver of fragmentation. While fishways are widely implemented to support upstream migration, downstream passage remains a major challenge.
Halvor Kjærås, Jon Museth, Finn Økland, Karl Øystein Gjelland, Henrik Baktoft, Torbjørn Forseth   +5 more
wiley   +1 more source

Cameras do not always take a full picture: wolf activity patterns revealed by accelerometers versus road‐positioned camera traps

Remote Sensing in Ecology and Conservation, EarlyView.
Camera traps have become an increasingly popular non‐invasive alternative to animal‐attached devices for studying wildlife behaviour. This study compared wolf (Canis lupus) activity patterns derived from collar accelerometers and road‐positioned camera traps and revealed strong overall agreement but also important seasonal and diel mismatches between ...
Katarzyna Bojarska, Michał Żmihorski, Morteza Naderi, J. David Blount, Mark Chynoweth, Emrah Coban, Çağan H. Şekercioğlu, Josip Kusak   +7 more
wiley   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source

Smoothing spline ANOVA decomposition of arbitrary splines: an application to eye movements in reading. [PDF]

PLoS One, 2015
Matuschek H, Kliegl R, Holschneider M.
europepmc   +1 more source

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

Defining window-boundaries for genomic analyses using smoothing spline techniques. [PDF]

Genet Sel Evol, 2015
Beissinger TM, Rosa GJ, Kaeppler SM, Gianola D, de Leon N.   +4 more
europepmc   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Modeling the Thermal Properties of Hydrogen‐Based Direct Reduced Iron Using Computational Thermodynamics and Machine Learning

steel research international, EarlyView.
Hydrogen‐based direct reduced iron (H‐DRI) melts differently from scrap and carbon‐bearing DRI. This work combines differential scanning calorimetry experiments, FactSage thermodynamics, and simple composition‐based regression to predict solidus, liquidus, heat capacity, and enthalpy for H‐DRI.
Ankur Agnihotri, Petri Sulasalmi, Pasquale Cavaliere, Ville‐Valtteri Visuri   +3 more
wiley   +1 more source