IMPROVING CAMERA POSE ESTIMATION USING SWARM PARTICLE ALGORITHMS by A. Elashry, C. Toth

“…Various optimization techniques, including EAs and SAs, such as Particle Swarm Optimization (PSO), Gray Wolf Optimization (GWO), Improved Gray Wolf Optimization (IGWO), Genetic Algorithm (GA), Salp Swarm Algorithm (SSA) and Whale Optimization Algorithm (WOA), are explored to obtain the global minimum of the reprojection error for the five-point Essential matrix estimation based on using symmetric geometric error cost function. …”
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Optimal energy scheduling method for the North Cameroonian interconnected grid in response to load shedding by Bello-Pierre Ngoussandou, Nicodem Nisso, Dieudonné Kaoga Kidmo, E. Sreelatha, Yosef Berhan Jember, Sima Das, Kitmo

“…The particle swarm optimization method (PSO), genetic algorithmic algorithm (GA), cuckoo search approaches (CSA), as well as whale optimization algorithm (WOA) were utilized to calculate power losses as well as system size allocation. …”
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A novel honey badger algorithm based load frequency controller design of a two-area system with renewable energy sources by Sercan Ozumcan, Ali Ozturk, Metin Varan, Cenk Andic

“…The HBA-based controllers demonstrate greater performance in terms of settling time, overshoot, and fitness value when compared to other well-known optimization algorithms such as Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA), and Grey Wolf Optimization (GWO). …”
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Optimal Battery Charging Schedule for a Battery Swapping Station of an Electric Bus With a PV Integration Considering Energy Costs and Peak-to-Average Ratio by Terapong Boonraksa, Promphak Boonraksa, Watcharakorn Pinthurat, Boonruang Marungsri

“…Three metaheuristic algorithms–namely, the binary bat algorithm (BBA), whale optimization algorithm (WOA), and grey wolf optimizer (GWO)–are employed to identify the optimal conditions. …”
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Defense against SSDF Attack and PUE Attack in CR-Internet of Vehicles (IoVs) for Millimeter Wave Massive MIMO Beamforming Systems by Deepanramkumar Pari, Jaisankar Natarajan

“…In the forwarding zone, optimal forwarders are selected by the Multi-Objective Whale Optimization (MOWO) algorithm. Here, a new potential score is formulated for fitness evaluation. …”
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Short-Term Power Forecasting and Uncertainty Analysis of Wind Farm at Multiple Time Scales by Tianren Zhang, Yuping Huang, Hui Liao, Xianfu Gong, Bo Peng

“…To achieve this, we propose a framework for short-term WFPF and uncertainty analysis, utilizing the whale optimization algorithm (WOA), convolutional neural network-bidirectional long short-term memory network (CNN-BiLSTM), cloud model (CM), and non-parametric kernel density estimation (NPKDE). …”
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Progressive Training Technique with Weak-Label Boosting for Fine-Grained Classification on Unbalanced Training Data by Yuhui Jin, Zuyun Wang, Huimin Liao, Sainan Zhu, Bin Tong, Yu Yin, Jian Huang

“…We entered the proposed method into the Kaggle competition, which aims to build an algorithm to identify individual humpback whales in images. With a few other common training tricks, the proposed approach won first place in the competition. …”
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Climate drivers of Southern Ocean phytoplankton community composition and potential impacts on higher trophic levels by Kristen M. Krumhardt, Matthew C. Long, Zephyr T. Sylvester, Colleen M. Petrik

“…Southern Ocean phytoplankton production supports rich Antarctic marine ecosystems comprising copepods, krill, fish, seals, penguins, and whales. Anthropogenic climate change, however, is likely to drive rearrangements in phytoplankton community composition with potential ramifications for the whole ecosystem. …”
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Modeling protected species distributions and habitats to inform siting and management of pioneering ocean industries: A case study for Gulf of Mexico aquaculture. by Nicholas A Farmer, Jessica R Powell, James A Morris, Melissa S Soldevilla, Lisa C Wickliffe, Jonathan A Jossart, Jonathan K MacKay, Alyssa L Randall, Gretchen E Bath, Penny Ruvelas, Laura Gray, Jennifer Lee, Wendy Piniak, Lance Garrison, Robert Hardy, Kristen M Hart, Chris Sasso, Lesley Stokes, Kenneth L Riley

“…Next, we applied this approach to data layers for eight species listed under the Endangered Species Act, including five species of sea turtles, Rice's whale, smalltooth sawfish, and giant manta ray. Next, we evaluated four methods for mathematically combining scores (i.e., Arithmetic mean, Geometric mean, Product, Lowest Scoring layer) to generate a combined protected species data layer. …”
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A Comparative Analysis of Swarm Intelligence and Evolutionary Algorithms for Feature Selection in SVM-Based Hyperspectral Image Classification by Yiqun Shang, Xinqi Zheng, Jiayang Li, Dongya Liu, Peipei Wang

“…The F–W–Ant Lion Optimizer (F–W–ALO), F–W–I-Ching Divination Evolutionary Algorithm (F–W–IDEA), and F–W–Whale Optimization Algorithm (F–W–WOA) have the middle optimization abilities, and F–W–IDEA takes the most runtime. …”
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Spatial link between Adélie penguin foraging effort and krill swarm abundance and distribution by Javed Riaz, Javed Riaz, Sophie Bestley, Simon Wotherspoon, Martin J. Cox, Louise Emmerson

“…We discuss our results in the context of penguin foraging strategies, capturing single krill within the water column rather than the engulfment feeding strategy of larger marine mammals such as whales. Our work substantially improves understanding of penguin-krill dynamics in East Antarctica and provides a greater level of nuance regarding the utility of Adélie penguins as indicator species under CCAMLR’s Ecosystem Monitoring Programme (CEMP). …”
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Motes enhance data recovery from satellite-relayed biologgers and can facilitate collaborative research into marine habitat utilization by Tiphaine Jeanniard-du-Dot, Kim Holland, Gregory S. Schorr, Danny Vo

“…Second, using data from 12 sharks and 12 whales tagged near the two Mote arrays, we assessed how increased data recovery translated into improved ability to interpret the behavior of the tagged animals. …”
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Hyperparameter optimization of support vector machine using adaptive differential evolution for electricity load forecasting by M. Zulfiqar, M. Kamran, M.B. Rasheed, T. Alquthami, A.H. Milyani

“…The results show that the developed MEMD-ADE-SVM model outperforms the benchmark frameworks such as; SVR-based model by hybridizing variational mode decomposition, the chaotic mapping mechanism, and the grey wolf optimizer (VMD-SVR-CGWO), SVM based on data preprocessing and whale optimization algorithm (DCP-SVM-WO), intelligent optimized SVR model based on variational mode decomposition and Fast Fourier transform (VMD-FFT-IOSVR), SVR model based on multivariate empirical mode decomposition and particle swarm optimization (EMD-SVR-PSO), and MEMD-ADE-LSTM for day-ahead and week-ahead electricity peak load forecasting in terms of accuracy, stability, and convergence rate.…”
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Beyond the Lab: What We Can Learn about Cancer from Wild and Domestic Animals by Hélène Schraverus, Yvan Larondelle, Melissa M. Page

“…On the other end of the size spectrum, large animals such as elephants and whales also appear to have low overall cancer rates, possibly due to gene replicates that are involved in apoptosis and therefore can inhibit uncontrolled cell cycle progression. …”
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Mitochondrial Genomes Assembled from Non-Invasive eDNA Metagenomic Scat Samples in Critically Endangered Mammals by J. Antonio Baeza, Ryan Barata, Dilani Rajapakse, Jayra Penaloza, Preston Harrison, Adam Haberski

“…Mitogenomes of four different large vertebrates, the panda bear (<i>Ailuropoda melanoleuca</i>), the moon bear (<i>Ursus thibetanus</i>), the Java pangolin (<i>Manis javanica</i>), and the the North Atlantic right whale (<i>Eubalaena glacialis</i>) were assembled and circularized using the pipeline GetOrganelle with a coverage ranging from 12x to 480x in 14 out of 18 different eDNA samples. …”
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Revisiting the footprints of climate change in Arctic marine food webs: An assessment of knowledge gained since 2010 by Sören Brandt, Paul Wassmann, Dieter Piepenburg, Dieter Piepenburg, Dieter Piepenburg

“…In comparison to 2011, more complex, cascading effects of climate change, such as increased bowhead whale body conditions due to increased primary production, have been reported. …”
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Application of WOA Tuned Type-2 FLC for LFC of Two Area Power System With RFB and Solar Park Considering TCPS in Interline by Ahmed Mohammed Attiya Soliman, Mostafa Bahaa Eldin, Mohammed Ahmed Mehanna

“…In order to enhance the dynamic performance for the proposed controller, meta-heuristic nature inspired optimization algorithm like whale optimization algorithm (WOA) has been proposed for proposed controller gains off line tuning. …”
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Isthminia panamensis, a new fossil inioid (Mammalia, Cetacea) from the Chagres Formation of Panama and the evolution of ‘river dolphins’ in the Americas by Nicholas D. Pyenson, Jorge Vélez-Juarbe, Carolina S. Gutstein, Holly Little, Dioselina Vigil, Aaron O’Dea

“…In contrast to dominant mode of ecological transition in the evolution of marine mammals, different lineages of toothed whales (Odontoceti) have repeatedly invaded freshwater ecosystems during the Cenozoic era. …”
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Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices by Farkhondeh Razmpour, Reza Daryabeygi-Khotbehsara, Davood Soleimani, Hamzeh Asgharnezhad, Afshar Shamsi, Ghasem Sadeghi Bajestani, Mohsen Nematy, Mahdiyeh Razm Pour, Ralph Maddison, Sheikh Mohammed Shariful Islam

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A Honey Badger Optimization for Minimizing the Pollutant Environmental Emissions-Based Economic Dispatch Model Integrating Combined Heat and Power Units by Ragab El-Sehiemy, Abdullah Shaheen, Ahmed Ginidi, Mostafa Elhosseini

“…In addition, several modern meta-heuristic optimization algorithms are employed, which are the African Vultures Algorithm (AVO), Dwarf Mongoose Optimization Algorithm (DMOA), Coot Optimization Algorithm (COA), and Beluga Whale Optimization Algorithm (BWOA). These algorithms are applied in a comparative manner considering the seven-unit test system. …”
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