Breeding biology of Great White Pelican Pelecanus onocrotalus at Lake Tana, Ethiopia. [PDF]
Yimer AY +4 more
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High Antimicrobial Susceptibility of Cloacal Enterococci and Escherichia coli from Free-Living Dalmatian and Great White Pelicans with Detection of Cefotaximase CTX-M-15 Producing Escherichia coli ST69. [PDF]
Cardona-Cabrera T +8 more
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Path Planning of an Unmanned Aerial Vehicle Based on a Multi-Strategy Improved Pelican Optimization Algorithm. [PDF]
Qiu S, Dai J, Zhao D.
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Augmenting cybersecurity through attention based stacked autoencoder with optimization algorithm for detection and mitigation of attacks on IoT assisted networks. [PDF]
Prasad KS +6 more
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Abstract Monotypic. Rosy pelican P. o. roseuspreviously recognized by some authors, including Brown and Urban (1969) but variation in P. onocrotalusseems sufficient to account for differences. At Lake Shala, Brown and Urban noted four colour types from almost white with pinkish underparts and virtually no breast patch to dark brown with ...
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Chaotic Binary Pelican Optimization Algorithm for Feature Selection
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2023This research proposes a new wrapper model based on chaos theory and nature-inspired pelican optimization algorithm (POA) for feature selection. The base algorithm is converted into a binary one and a chaotic search to augment POA’s exploration and ...
R. Eluri, Nagaraju Devarakonda
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Large Visual Language Models (LVLMs) struggle with hallucinations in visual instruction following task(s). These issues hinder their trustworthiness and real-world applicability.
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Dynamic Load Balancing in Cloud Computing using Hybrid Kookaburra-Pelican Optimization Algorithms
2024 International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA)Cloud Computing (CC) technology facilitates virtualized computing resources through service providers to users. Balancing loads assumes a critical role in distributing dynamic workloads across cloud systems, ensuring equitable resource allocation without
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Lung cancer is a global health challenge that requires advanced diagnostic tools for early detection and classification. This study proposes a hybrid deep learning model combining Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN ...
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