Results 181 to 190 of about 57,062 (333)

A selective breeding design based on parental rapid heat stress thresholds did not produce more heat‐tolerant coral larvae

Ecological Solutions and Evidence, Volume 7, Issue 1, January/March 2026.
Coral broodstock were phenotyped using a rapid heat stress assay and ranked according to their performance (photochemical efficiency). Selectively breeding the broodstock based on their performance did not produce larvae with enhanced heat tolerance. Created in BioRender. Lamb, A. (2025) https://BioRender.com/zcgk0g6.
Annika M. Lamb, Carys A. Morgans, Guy A. McCutchan, Véronique J. L. Mocellin, Hugo Denis, Melissa S. Naugle, Annelise J. Lemonius, Richard C. Edmunds, Michael K. Wooster, Line K. Bay, Emily J. Howells, Madeleine J. H. van Oppen   +11 more
wiley   +1 more source

Tri branch attention enhanced 3DUNet for remote sensing based hyperspectral image classification. [PDF]

Sci Rep
Ashraf M, Abbas T, Iqbal S, Sayyed A, Asghar MN, Alaulamie A.   +5 more
europepmc   +1 more source

Retracted: A 3D-2D Convolutional Neural Network and Transfer Learning for Hyperspectral Image Classification. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

Supervised classification of Hyperspectral Images

, 2018
Η τεχνολογία της υπερφασματικής απεικόνισης γνώρισε μεγάλη ανάπτυξη κατά τις τελευταίες δεκαετίες και έχει βρει εφαρμογές σε ποικίλα πεδία όπως η γεωργία, η φαρμακευτική, η επεξεργασία τροφίμων, η ορυκτολογία, η φυσική και η αστρονομία. Επιπλέον, αποτελεί μία από τις σημαντικότερες καινοτομίες στον τομέα της τηλεπισκόπησης που είναι το πεδίο εφαρμογής ...
openaire   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, Volume 36, Issue 3, 8 January 2026.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Semantic-Aware Co-Parallel Network for Cross-Scene Hyperspectral Image Classification. [PDF]

Sensors (Basel)
Li X, Jin C, Tang Y, Xing K, Yu X.
europepmc   +1 more source

Mutual Information-Driven Feature Reduction for Hyperspectral Image Classification. [PDF]

Sensors (Basel), 2023
Islam MR, Ahmed B, Hossain MA, Uddin MP.
europepmc   +1 more source

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

Advanced Functional Materials, Volume 36, Issue 3, 8 January 2026.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim, Jonghyun Won, Hyeongmin Park, Jun‐Gyu Choi, Sungjun Park, Giwon Lee   +5 more
wiley   +1 more source

Correction: A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification. [PDF]

Sci Rep
Sangeetha V, Agilandeeswari L.
europepmc   +1 more source

Double-branch feature fusion transformer for hyperspectral image classification. [PDF]

Sci Rep, 2023
Dang L, Weng L, Hou Y, Zuo X, Liu Y.
europepmc   +1 more source