Results 41 to 50 of about 1,080 (197)

Evomimetics : the biomimetic design thinking 2.0 [PDF]

, 2019
The consensus is that nature is a tremendous source of ideas for innovative designs that can meet various specific functional needs, relevant to society. Designs rely on structural, constructional, process-based and behavioral traits that all result from
Adriaens, Dominique
core   +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

A deep learning approach to photo–identification demonstrates high performance on two dozen cetacean species [PDF]

, 2023
We thank the countless individuals who collected and/or processed the nearly 85,000 images used in this study and those who assisted, particularly those who sorted these images from the millions that did not end up in the catalogues.
Abe, Kenshin, Allen, Jason B., Ashe, Erin, Athayde, Aline, Baird, Robin W., Basran, Charla, Bejder, Lars, Cabrera, Elsa, Calambokidis, John, Cardoso, Júlio, Carroll, Emma L., Cesario, Amina, Cheeseman, Ted, Cheney, Barbara J., Corsi, Enrico, Currie, Jens, Durban, John W., Falcone, Erin A., Fearnbach, Holly, Flynn, Kiirsten, Franklin, Trish, Franklin, Wally, Galletti Vernazzani, Bárbara, Genov, Tilen, Hill, Marie, Howard, Addison, Johnston, David R., Keene, Erin L., Mahaffy, Sabre D., McGuire, Tamara L., McPherson, Liah, Meyer, Catherine, Michaud, Robert, Miliou, Anastasia, Oleson, Erin M., Orbach, Dara N., Patton, Philip T., Pearson, Heidi C., Rasmussen, Marianne H., Rayment, William J., Reade, Walter, Rinaldi, Caroline, Rinaldi, Renato, Siciliano, Salvatore, Southerland, Ken, Stack, Stephanie, Tintore, Beatriz, Torres, Leigh G., Towers, Jared R., Trotter, Cameron, Tyson Moore, Reny, Weir, Caroline R., Wellard, Rebecca, Wells, Randall, Yamaguchi, Taiki, Yano, Kymberly M., Zaeschmar, Jochen R.   +56 more
core   +2 more sources

IMPROVEMENT OF BELUGA WHALE OPTIMIZATION ALGORITHM BY DISTANCE BALANCE SELECTION METHOD

Yalvaç Akademi Dergisi, 2023
Özet 1 :Bu çalışmada son zamanlarda literatüre sunulmuş bir meta-sezgisel optimizasyon algoritması olan Beyaz balina optimizasyon (Beluga whale optimization, BWO) algoritmasının problemlere daha uygun sonuçlar üretmesi amacıyla iyileştirilmiş bir versiyonu geliştirilmiştir. Beyaz balinaların yüzme, avlanma ve ölme özellikleri modellenerek geliştirilmiş
openaire   +3 more sources

The kinematics analysis and improvement of the 3T1R 4-PUU parallel mechanism using the whale optimization algorithm [PDF]

Mechanical Sciences
This paper focuses on the 4-PUU parallel mechanism with Schönflies motion, investigating its kinematic analysis and utilizing intelligent algorithms to solve its forward kinematics equations.
K. Wen, X. Zhou, A. Jiang, J. Li
doaj   +1 more source

Piece-Wise Linear Chaotic Mapping-based Beluga Whale Optimization Algorithm-based Indoor Activity Monitoring for Elderly and Visually Impaired Persons [PDF]

, 2023
Currently, the methods of mobile communications and Internet of Things (IoT) are designed to collect human and environmental data for various intelligent applications and services. Remote monitoring of disabled and elderly people living in smart homes is
Azza Elneil Osman, Jaber S. Alzahrani, Mohammed Rizwanullah   +2 more
core   +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

Modelling the effect of varying metabolic rate and cardiac output on estimated tissue and blood O2 and CO2 levels in an extreme deep‐diver, the goose‐beaked whale (Ziphius cavirostris)

Experimental Physiology, Volume 111, Issue 3, Page 765-785, 1 March 2026.
Abstract High‐resolution movement data from Cuvier's beaked, or goose‐beaked whale (Ziphius cavirostris, hereafter Ziphius, n = 8) tag deployments (4.1–19.2 days) were used to estimate blood and tissue O2 and CO2 levels. Acceleration and magnetometry data were used to estimate the locomotion cost (LC) from the relationship between activity and the O2 ...
Andreas Fahlman, Gregory S. Schorr, David A. Sweeney, Brenda K. Rone, Shannon N. Coates, Austin S. Allen, Lucia M. Martín López, Susan M. Jarvis, Erin A. Falcone   +8 more
wiley   +1 more source

Modeling landslide susceptibility based on convolutional neural network coupling with metaheuristic optimization algorithms

International Journal of Digital Earth, 2023
Landslides are one of the most common geological hazards worldwide, especially in Sichuan Province (Southwest China). The current study's main purposes are to explore the potential applications of convolutional neural networks (CNN) hybrid ensemble ...
Zhuo Chen, Danqing Song
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