Results 51 to 60 of about 42,999 (309)
Advanced Functional Materials, EarlyView.A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon +4 more
wiley +1 more source
Avifauna of cloud forest riparian corridors in a degraded landscape in eastern Mexico
Revista Mexicana de BiodiversidadCloud forests are known for their remarkable biodiversity and provide many ecosystem services. However, this biodiversity is in jeopardy due to the conversion of forests to other land uses.
Omar A. Hernández-Dávila +2 more
doaj +1 more source
Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles
Advanced Materials, EarlyView.Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung +9 more
wiley +1 more source
Advanced Robotics Research, EarlyView.Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
Climate change impact on endangered cloud forest tree species in Mexico
Revista Mexicana de Biodiversidad, 2019 Ecological niche models have seen intensive exploration as a tool in biodiversity conservation and evaluation of areas for designing protected natural areas systems, including projections of potential distributions under future conditions.
Daniel Jiménez-García, A. T. Peterson
doaj +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Advanced Science, EarlyView.Nickel–aluminum composite oxide (NiAlOx‐300) derived from NiAl layered double hydroxide showed high activity for hydrogenolysis of various lignin models. Especially, hydrogenolysis of benzyl phenyl ether could be efficiently proceeded at 20°C and 1 MPa H2.
Jinpeng Liang +9 more
wiley +1 more source
Cloud Classification in JPEG-compressed Remote Sensing Data (LANDSAT 7/ETM+)
, 2012 Environmental parameters required for geo-information modelling are subject to spatial and temporal dynamics. Remote sensing data can contribute to measure those parameters.
Fichtelmann, Bernd +5 more
core +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Roland Fischer Oral History [PDF]
, 2019 Biographical Information: Roland Fischer grew up in Alexandria, Minnesota. He attended his first year of college at the University of Iowa and then transferred to St. Cloud State. Roland graduated in 1958 with majors in Art and Theatre.
St. Cloud State University
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