Results 61 to 70 of about 529 (161)

Applying computer vision to accelerate monitoring and analysis of bird incubation behaviors: a case study using common eider nest camera footage

Remote Sensing in Ecology and Conservation, Volume 12, Issue 1, Page 21-37, February 2026.
Visualization of the pipeline is divided into two primary segments: automated (i.e., the user adapts the code directly to build a custom computer vision model) and human‐in‐the‐loop (i.e., the user manually evaluates the output of the model). In step 1, raw imagery data are selected for training and testing datasets; ideally, these datasets are ...
Lindsay Veazey, Christopher Latty, Zoey Chapman, Tuula E. Hollmen   +3 more
wiley   +1 more source

The Secret Life of Tidal Marshes and Mangroves: Camera Trapping as a Window Into Wildlife Using North American Coastal Wetlands

Ecology and Evolution, Volume 16, Issue 1, January 2026.
We conducted the first coordinated assessment of terrestrial wildlife across North America's vegetated coastal wetlands. Our study demonstrates the significant role coastal wetlands play in wildlife support, offers a model for broad‐scale wildlife studies, and highlights the importance of incorporating top‐down perspectives and a landscape approach ...
Kenneth B. Raposa, Kimberly Cressman, Danika vanProosdij, Jason Goldstein, Rachel A. Stevens, Megan Tyrrell, Brian DeGasperis, Kari St. Laurent, R. Kyle Derby, Scott Lerberg, Elizabeth Fox Pinnix, Jennifer Plunkett, Jessica Kinsella, Colby Peffer, Candace Killian, Jay Black, Katie Swanson, Christopher Biggs, Emily Kuzmick, Angel Dieppa‐Ayala, Kristin Wilson Grimes, Allie Durdall, Jacob Argueta, Thomas Reid, Roger Fuller, Jennifer Schmitt, Matthew C. Ferner, Mônica Almeida, Héctor Manuel Sánchez Márquez, Yoshimi M. Rii, A. Nālani Olguin, Maureen Dewire, Kerstin Wasson   +32 more
wiley   +1 more source

Research on Unmanned Aerial Vehicle Emergency Support System and Optimization Method Based on Gaussian Global Seagull Algorithm

Drones
In emergency rescue scenarios, drones can be equipped with different payloads as needed to aid in tasks such as disaster reconnaissance, situational awareness, communication support, and material assistance.
Songyue Han, Mingyu Wang, Junhong Duan, Jialong Zhang, Dongdong Li   +4 more
doaj   +1 more source

AI‐Driven Optimization Techniques for Power Quality Improvement in Microgrids: Trends, Techniques, and Future Directions

Energy Science &Engineering, Volume 14, Issue 1, Page 583-610, January 2026.
Decentralized energy systems are gaining momentum, and microgrids have become a vital component of the modern power landscape. Yet, maintaining power quality within these systems presents ongoing challenges due to the presence of nonlinear loads, variable renewable energy sources, and frequent switching operations.
Mahnoor Zahid, Hafiz Mudassir Munir, Mohammad Adeel, Fares Suliaman Alromithy, Mohammad R. Altimania, Ievgen Zaitsev   +5 more
wiley   +1 more source

Order Picking Systems in the Transition to Industry 5.0: A Systematic Review of Human‐Robot Collaboration

IET Collaborative Intelligent Manufacturing, Volume 8, Issue 1, January/December 2026.
This systematic review examines how order‐picking systems are evolving under the combined pressures of e‐commerce growth, workforce constraints and increasing automation. Synthesising 56 studies, the article highlights the central role of Human‐Robot Collaboration within the Industry 5.0 paradigm and reveals a strong emphasis on efficiency‐driven ...
David Montemurri, Diego Gabriel Rossit, Daniel Alejandro Rossit   +2 more
wiley   +1 more source

Developing a Quadratic Interpolation Northern Goshawk Optimiser and Its Application for Solving Electrical Engineering Problems

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
We propose an enhanced metaheuristic algorithm, quadratic interpolation northern goshawk optimisation (QINGO), that integrates the generalised quadratic interpolation method into the northern goshawk optimisation framework. The proposed algorithm shows superior convergence, stability, and accuracy compared with several existing methods on standard ...
Ahmed H. A. Adam, Salah Kamel, Mohamed H. Hassan   +2 more
wiley   +1 more source

Multi-Objective Seagull Optimization Algorithm with Deep Learning-Enabled Vulnerability Detection for Secure Cloud Environments. [PDF]

Sensors (Basel), 2023
Aljebreen M, Alohali MA, Mahgoub H, Aljameel SS, Alsumayt A, Sayed A.   +5 more
europepmc   +1 more source

Improved seagull optimization algorithm of partition and XGBoost of prediction for fuzzy time series forecasting of COVID-19 daily confirmed. [PDF]

Adv Eng Softw, 2022
Xian S, Chen K, Cheng Y.
europepmc   +1 more source

Optimal distributed generation allocation in radial distribution networks using a modified seagull optimization algorithm with elite reserve strategy

Energy Conversion and Management: X
Reconstructing radial distribution networks (RDNs) by integrating distributed generation (DG) is essential for enhancing the sustainability, reliability, and flexibility of power supply, thereby improving renewable energy utilization.
Jie Qian, Min Wei, Ping Wang, Fei Wang, Jianbo Dai   +4 more
doaj   +1 more source

A Tent-Lévy-Based Seagull Optimization Algorithm for the Multi-UAV Collaborative Task Allocation Problem

Applied Sciences
With the rapid advancement of unmanned aerial vehicle technology, the extensive application of multiple unmanned aerial vehicle systems in agriculture has led to significant innovations and benefits.
Zhao Zhou, Huan Liu, Yongqiang Dai, Lijing Qin   +3 more
doaj   +1 more source