Reset
Showing 20 of 21 academic articles

Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images

Yaoteng Zhang, Shuaipeng Wang, Yanlong Chen, Shiqing Wei et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

To maintain marine ecosystem health, effective algae monitoring is essential. Traditional threshold-based methods and standard machine learning techniques often fall short in accurately and automatically distinguishing algae types. This stu...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2025.3571988

A Terrain-Feature-Aware Multiscale PTD for Airborne LiDAR Ground Filtering

Wenyan Ni, Hua Zhang, Jing Xu, Yasong Zhao et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Airborne light detection and ranging (LiDAR) has become an indispensable tool for earth observation, supporting applications such as digital terrain modeling, environmental monitoring, and geohazard assessment. A fundamental challenge in Li...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3688518

Identifying Key Factors Associated with the Spatiotemporal Dynamics of Fish Assemblages in Subtropical River-Type Reservoir Ecosystems: Implications for Fishery Management and Conservation

Chengjie Yin, Rongzhen Zhang, Zewen Feng, Xiaoning Shi et al. • Animals (2026)

Characterizing the spatiotemporal patterns of fish communities in subtropical river-type reservoirs provides useful baseline information for fisheries stewardship and aquatic ecosystem monitoring. This work investigated fish assemblages acr...

DOAJ Open Access (DOAJ) DOI: 10.3390/ani16182892

Untargeted metabolomic profiling of Pseudocnella sykion from KwaZulu-Natal, South Africa using 1H-NMR and UPLC-QTOF-HR-MS

Cassandra Upton, Gerhard Prinsloo, Paul Anton Steenkamp, Moses Okpeku • Frontiers in Marine Science (2025)

IntroductionSea cucumbers are ecologically and economically significant marine invertebrates, yet the metabolic diversity and bioactive potential of noncommercialized, endemic species remains poorly understood.MethodsThis study presents the...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmars.2025.1609951

Foraminifera as environmental bioindicators on the Rio Grande Terrace: a preliminary assessment

João Machado Neto, Simone Souza Moraes, Edgar Romeo Herrera de Figueiredo Iza, Felipe Rocha Abreu et al. • Journal of the Geological Survey of Brazil (2025)

There is still a significant gap in research that integrates foraminiferal data with water mass characterization within the specific context of marine phosphorite prospecting. Therefore, this study investigates the environmental dynamics of...

DOAJ Open Access (DOAJ) DOI: 10.29396/jgsb.2026.v9.n2.6

Assessment of the response of tropical dry forests to El Niño southern oscillation

Lidong Zou, Sen Cao, Zaichun Zhu, Arturo Sanchez-Azofeifa • Ecological Indicators (2021)

Tropical Dry Forests (TDFs) in the Americas are significantly affected by drought related to El Niño Southern Oscillation (ENSO). The analysis builds upon two drought indices: the MODIS-derived Vegetation Condition Index (VCI) and Temperatu...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ecolind.2021.108390

Continuous monitoring biosensors for advanced healthcare and environmental applications: challenges, material innovations and future directions

Kiran Kumar Amireddy, P. V. R. Ravindra Reddy, C. Nagendranatha Reddy, P. Prabhakar Reddy • Frontiers in Sensors (2026)

This review critically discusses the development of continuous monitoring biosensors and the technological developments that have facilitated the transition from one-off or periodic measurement sensors to longer-term, connected and autonomo...

DOAJ Open Access (DOAJ) DOI: 10.3389/fsens.2026.1968999

A Survey on Underwater Computer Vision

Salma González-Sabbagh, Antonio Robles‐Kelly • ACM Computing Surveys (2023)

Underwater computer vision has attracted increasing attention in the research community due to the recent advances in underwater platforms such as of rovers, gliders, autonomous underwater vehicles (AUVs) , and the like, that now make possi...

OPENALEX other-oa DOI: https://doi.org/10.1145/3578516

Deep learning as a tool for ecology and evolution

Marek L. Borowiec, Rebecca B. Dikow, Paul B. Frandsen, Alexander J. McKeeken et al. • Methods in Ecology and Evolution (2022)

Abstract Deep learning is driving recent advances behind many everyday technologies, including speech and image recognition, natural language processing and autonomous driving. It is also gaining popularity in biology, where it has been use...

OPENALEX cc-by-nc DOI: https://doi.org/10.1111/2041-210x.13901

Precision water quality indices forecasting through an optimized hybrid SMW-LSSVM-R model enhanced by SATLDE and uncertainty analysis

Heming Jia, Marjan Kordani, Iman Ahmadianfar, Arvin Samadi Koucheksaraee et al. • Engineering Applications of Computational Fluid Mechanics (2026)

Precise forecasting of water quality indices (WQI) is essential for safeguarding ecosystems, human health, and sustainable water resource management. This study presents an innovative approach for evaluating river Water Quality Indices usin...

DOAJ Open Access (DOAJ) DOI: 10.1080/19942060.2025.2602582