Results 191 to 200 of about 4,968,542 (275)

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

Journal of Animal Ecology, Volume 95, Issue 9, Page 1558-1585, September 2026.
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

A novel technique for automatic hybrid modulation classification in UWA communications using 3D constellation diagrams. [PDF]

Sci Rep
Abdel-Moneim MA, Ramadan KF, El-Rabaie EM, El-Samie FEA, Abdel-Salam N.   +4 more
europepmc   +1 more source

Ocean sediments and shifting baselines—A call to revise European habitat classifications

Journal of Applied Ecology, Volume 63, Issue 9, September 2026.
Shifting baselines affect the appropriateness of existing habitat classification frameworks, potentially reducing MPA integrity and efficacy. To enable representative mapping, accurate sensitivity assessments and appropriate management of marine habitats, EUNIS classifications require more flexibility.
Rebecca S. Turley, Shion E. A. Reynell, Sian E. Rees, Marija Sciberras, Timothy Scott, Bryce D. Stewart, Duncan Vaughan, Emma V. Sheehan   +7 more
wiley   +1 more source

Neuromorphic In-Memory Computing for Marine Visual-Auditory Perception. [PDF]

Adv Mater
Deng Q, Chen W, Liu X, Sun Y, Huo N.
europepmc   +1 more source

Contrastive ecoacoustic indices: Large‐scale global soundscape characterization with contrastive inference

Methods in Ecology and Evolution, Volume 17, Issue 9, Page 2663-2682, September 2026.
Abstract Ecoacoustics mainly aims at monitoring soundscapes by means of non‐invasive protocols. Despite the widespread adoption of machine and deep learning techniques, existing ecoacoustic models predominantly rely on supervised learning and, consequently, face two primary limitations: (1) the necessity of annotated data; and (2) the restriction to ...
Yann Teytaut, Sylvain Haupert, Lorenzo Dubois, Ludovic Crochard, Frédéric Azémar, Ángel G. Guevara, Patricia Balaresque, Jérôme Sueur   +7 more
wiley   +1 more source

Joint Optimization of Time Slot and Power Allocation in Underwater Acoustic Communication Networks. [PDF]

Sensors (Basel)
Geng X, Hu Y.
europepmc   +1 more source

Fluid Pathways and Sources Driving Recurring Pockmark Formation on the Chatham Rise, New Zealand

Basin Research, Volume 38, Issue 5, September‐October 2026.
Quasi‐3D seismic data interpretation and spatial pattern analysis indicate that pockmark formation on the SW Chatham Rise is likely driven by a combination of compaction‐related dewatering during polygonal faulting and silica diagenesis, coupled with deeply‐sourced, possibly CO2‐rich fluids from subducted limestones migrating along prominent basement ...
Fynn Warnke, Ingo A. Pecher, Lorna J. Strachan, Jess I. T. Hillman, Gareth Crutchley   +4 more
wiley   +1 more source

SonarReg-GS SLAM: Sparse Sonar-Guided Depth Regularization for Underwater Gaussian Splatting SLAM. [PDF]

Sensors (Basel)
Yang W, Qian X, Liu X, Leng J.
europepmc   +1 more source

Antipredatory Strategies of Anurans: An Updated Conceptual Review

Ethology, Volume 132, Issue 9, Page 662-708, September 2026.
To unravel the evolutionary dynamics of predator–prey interactions, we propose an updated, three‐tiered classification of anuran antipredatory strategies. By mapping non‐behavioral, individual, and group defenses across five functional phases, this integrative framework introduces the concept of synergetic coupling.
Ubiratã Ferreira Souza, Lucas Rosado Mendonça, Carlos Jared, L. Felipe Toledo   +3 more
wiley   +1 more source

A Lightweight, Low-Frequency, Broadband Underwater Acoustic Transducer with Ternary Symmetric Excitation: Integrating KNN and Terfenol-D for Enhanced Performance. [PDF]

Sensors (Basel)
Ma X, Liu Z, Tang S, Shan C, Li Q, Guo Y.   +5 more
europepmc   +1 more source