Results 71 to 80 of about 533 (182)

Hydropower Effluent as a Marine Pollutant; Impacts of River Regulation on Estuarine and Coastal Ecology

River Research and Applications, Volume 41, Issue 9, Page 1789-1802, November 2025.
ABSTRACT The confluence of rivers with the ocean creates biological hotspots where temperature, salinity, and nutrients mix to provide excellent conditions for rearing, growth, and refuge to a multitude of organisms. Worldwide, estuaries are highly productive and biodiverse.
Robert J. Lennox, Jan Grimsrud Davidsen, Sindre H. Eldøy, Bronwyn M. Gillanders, Ulrich Pulg, Kirstine Thiemer, William M. Twardek, Ava J. A. Sergio, Øystein Varpe, Gaute Velle, Knut Wiik Vollset   +10 more
wiley   +1 more source

Inversion of Rayleigh wave dispersion curve based on beluga whale optimization algorithm

Contributions to Geophysics and Geodesy
Rayleigh wave exploration is a crucial technique in engineering site investigation for obtaining subsurface stratigraphic information. Inverting its dispersion curve can effectively reveal underground structures.
Fengjun WU, Xiaoyu WEI, KeRong HE, Gang LI, XinAi XU   +4 more
doaj   +1 more source

Sexing From Seawater: Application of Environmental DNA Beyond Species Detection for Cetaceans

Environmental DNA, Volume 7, Issue 4, July–August 2025.
This study used environmental DNA (eDNA) flukeprint sampling and ZFX/ZFY gene amplification to determine the sex of killer whales and humpback whales, finding higher PCR success in killer whales but higher sex‐matching success in humpbacks. While eDNA shows promise as a noninvasive alternative to biopsies, further refinement is needed to optimize ...
Chloe Victoria Robinson, Emma June Laqua, Adam Warner, Gary J. Sutton, Michael W. D. Judson, Karina Dracott   +5 more
wiley   +1 more source

FInCH: Fast statistical inference for continuous‐time animal movement

Methods in Ecology and Evolution, Volume 16, Issue 7, Page 1437-1459, July 2025.
Abstract It is common for movement ecologists to model individual‐level animal movement in discrete time using methods such as hidden Markov models (HMMs). Although often the fitting of HMMs is computationally efficient, the key assumptions required to model in discrete time become limiting when dealing with temporally irregular data or an animal that ...
Dominic Grainger, Paul G. Blackwell
wiley   +1 more source

Joint Optimization of UAV Trajectories and Computational Offloading for Space-Air-GroundIntegrated Networks [PDF]

Jisuanji kexue
As an emerging network architecture,space-air-ground integrated network has attracted significant attention from researchers in recent years,and it can greatly improve the overall quality of service.Addressing the challenges of insufficient network ...
CHEN Yitian, TONG Yinghua
doaj   +1 more source

Improved Multi-Objective Beluga Whale Optimization Algorithm for Truck Scheduling in Open-Pit Mines

Big data and artificial intelligence have promoted mining innovation and sustainable development, and the transportation used in open-pit mining has increasingly incorporated unmanned driving, real-time information sharing, and intelligent algorithm ...
Zebang Yi, Qiuzhi He, Pengchao Zhang, Xiang Liu   +3 more
core   +1 more source

Distributed Hybrid Flowline Rescheduling Based on Improved Gray Wolf Optimization Algorithm [PDF]

Zhengzhou Daxue xuebao. Gongxue ban
Distributed hybrid flowline rescheduling was investigated considering machine breakdown and transportation time constraints. An integer programming model was constructed with the optimization objective of simultaneously minimizing the maximum ...
XUAN Hua, XIONG Mengying, CAO Ying
doaj   +1 more source

Optimal power extraction of PV-TEG hybrid system via fitness-distance-balance-based beluga whale optimization

This study integrates the individual photovoltaic (PV) and thermoelectric generator (TEG) systems into a PV-TEG hybrid system to improve its overall power output by reutilizing the waste heat generated during PV power production to enhance its ...
Wang, J, Yang, B, Jiang, L, Li, H, Gao, D, Liang, B, Wu, S   +6 more
core   +1 more source

Multi-Scale Fusion MaxViT for Medical Image Classification with Hyperparameter Optimization Using Super Beluga Whale Optimization

This study presents an enhanced deep learning model, Multi-Scale Fusion MaxViT (MSF-MaxViT), designed for medical image classification. The aim is to improve both the accuracy and robustness of the image classification task.
Tiannuo Liu, Lin Sun, Jiaqi Zhao
core   +1 more source

A rhinopithecus swarm optimization algorithm for complex optimization problem

Scientific Reports
This paper introduces a novel meta-heuristic algorithm named Rhinopithecus Swarm Optimization (RSO) to address optimization problems, particularly those involving high dimensions.
Guoyuan Zhou, Dong Wang, Guoao Zhou, Jiaxuan Du, Jia Guo   +4 more
doaj   +1 more source