Results 31 to 40 of about 531 (158)

Dependence Between Effort Offsets and Process Intensity in Generalized Models for Count Data: Spatial Models of Animal Abundance

Environmetrics, Volume 37, Issue 3, April 2026.
ABSTRACT Researchers often use offsets to control for variation in exposure or effort in GLMM‐style models for count data. In this paper, we study the case where effort is dependent on the underlying process of interest (e.g., Poisson intensity) and where inference focuses on prediction. We first examine a simple Poisson GLM, where we use simulation to
Paul B. Conn, Megan C. Ferguson
wiley   +1 more source

A High‐Accuracy TEC Model for Low‐Mid Latitudes Using a BWO‐Optimized CNN‐xLSTM Hybrid Model With Multi‐Instrument Data Fusion

Space Weather, Volume 24, Issue 4, April 2026.
Abstract The total electron content (TEC) in the ionosphere is strongly affected by solar activity and geomagnetic disturbances in mid‐ and low‐latitude regions, making it a major source of error in GNSS navigation and communication systems. To improve the prediction accuracy of ionospheric TEC, this study proposes a deep learning model—Beluga Whale ...
Wang Li, Jitong Li, Jiale Li, Guanyu Chen, Dongsheng Zhao, Longjiang Li, Xiaoqing Zuo, Kefei Zhang   +7 more
wiley   +1 more source

Reliability index based optimal sizing and statistical performance analysis of stand-alone hybrid renewable energy system using metaheuristic algorithms

Alexandria Engineering Journal, 2023
Integration of renewable energy systems can provide reliable, environmentally sustainable, and cost-effective alternatives for meeting the demand for electricity in remote locations.
M. Thirunavukkarasu, Himadri Lala, Yashwant Sawle   +2 more
doaj   +1 more source

A Hybrid Framework for Stock Price Forecasting Using Metaheuristic Feature Selection Approaches and Transformer Models Enhanced by Temporal Embedding and Attention Pruning

Applied AI Letters, Volume 7, Issue 1, February 2026.
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani, Sohrab Kordrostami, Amirhossein Refahi Sheikhani, Mohammad Hossein Moattar   +3 more
wiley   +1 more source

Localization and tracking of beluga whales in aerial video using deep learning

Frontiers in Marine Science
Aerial images are increasingly adopted and widely used in various research areas. In marine mammal studies, these imagery surveys serve multiple purposes: determining population size, mapping migration routes, and gaining behavioral insights.
Mostapha Alsaidi, Mohammed G. Al-Jassani, Chiron Bang, Gregory O’Corry-Crowe, Cortney Watt, Maha Ghazal, Hanqi Zhuang   +6 more
doaj   +1 more source

Improved beluga whale optimization algorithm based cluster routing in wireless sensor networks

Mathematical Biosciences and Engineering
<abstract><p>Cluster routing is a critical routing approach in wireless sensor networks (WSNs). However, the uneven distribution of selected cluster head nodes and impractical data transmission paths can result in uneven depletion of network energy. For this purpose, we introduce a new routing strategy for clustered wireless sensor networks
Hao Yuan, Qiang Chen, Hongbing Li, Die Zeng, Tianwen Wu, Yuning Wang, Wei Zhang   +6 more
openaire   +3 more sources

Vocalization Characteristics of the Indo‐Pacific Humpback Dolphins (Sousa chinensis) in Xiamen Bay With Insights on Regional Differences

Ecology and Evolution, Volume 16, Issue 2, February 2026.
The Indo‐Pacific humpback dolphin population in Xiamen Bay was divided into two geographically separated but socially associated communities inhabiting the West and East sub‐regions. Based on 3 years of boat‐based surveys, this study established baseline acoustic characteristics and investigated whether vocal patterns varied with habitat conditions ...
Xuming Peng, Zhiyuan Hua, Fuxing Wu, Fei Zhang, Weijie Fu, Yupeng Li, Chuang Zhang, Wenzhan Ou, Wenjie Xiang, Bing Zhou, Zhongchang Song, Yu Zhang   +11 more
wiley   +1 more source

No-Wait Flowshop Permutation Scheduling Problem : Fire Hawk Optimizer Vs Beluga Whale Optimization Algorithm

Jurnal Ilmiah Teknik Industri, 2023
No-Wait Flowshop Permutation Scheduling Problem (NWPFSP) is a scheduling problem that states that every job completed on machine n must be processed immediately on the next machine. The NWPFSP problem is an extension of the flowshop problem. This article proposes two new algorithms fire hawk optimization and beluga whale optimization, to solve the ...
Muhammad Aghniya Baihaqi, Dana Marsetiya Utama   +1 more
openaire   +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

Research on multiobjective capacity configuration optimization of grid‐connected wind–solar–storage microgrid system based on improved BWO algorithm

Energy Science & Engineering
How to effectively utilize renewable energy and improve the economic efficiency of microgrid system and its ability to consume renewable energy has become one of the main problems facing China at present.
Ziheng Wang, Tao Wang, Qunfeng Niu, Jianfeng Wu, Mingwei Li, Shuaiqi Zhu   +5 more
doaj   +1 more source