Research on Economic Load Dispatch Problem of Microgrid Based on an Improved Pelican Optimization Algorithm. [PDF]
This paper presents an improved pelican optimization algorithm (IPOA) to solve the economic load dispatch problem. The vertical crossover operator in the crisscross optimization algorithm is integrated to expand the diversity of the population in the ...
Zhang Y, Li H.
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An improved pelican optimization algorithm for function optimization and constrained engineering design problems [PDF]
Metaheuristic algorithms are a class of optimization techniques that have revolutionized problem-solving across various domains. These algorithms provide a versatile and powerful approach to finding near-optimal solutions for complex, combinatorial,
Haval Tariq Sadeeq +5 more
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Enhanced pedestrian walkway object detection using deep learning and pelican optimization algorithm for assisting disabled persons. [PDF]
Walking is a significant transportation method, but the convenience of pedestrian surroundings for individuals with blindness is highly challenging. Pedestrians with blindness familiarize themselves with guidelines in their surroundings, which might be ...
Alrowais F, Almofarreh M, Marzouk R.
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Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine. [PDF]
Glaucoma is defined as progressive optic neuropathy that damages the structural appearance of the optic nerve head and is characterized by permanent blindness.
Muduli D +6 more
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Optimizing MobileNetV2 for improved accuracy in early gastric cancer detection based on dynamic pelican optimizer. [PDF]
This paper presents an innovative framework for the automated diagnosis of gastric cancer using artificial intelligence. The proposed approach utilizes a customized deep learning model called MobileNetV2, which is optimized using a Dynamic variant of the Pelican Optimization Algorithm (DPOA).
Zhou G +8 more
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Multi-Objective Optimal Energy Management of Nanogrid Using Improved Pelican Optimization Algorithm
The development of efficient energy management for nanogrid (NG) systems, while reducing both the carbon dioxide (CO2) emissions and power generation cost, is achievable through the effective utilization of available energy sources. This paper proposes a
Saif Jamal +3 more
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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]
The Internet of Things (IoT) network is a fast-growing technology, which is efficiently used in various applications. In an IoT network, the massive amount of connecting nodes is the existence of day-to-day communication challenges.
Prasad KS +6 more
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This research focuses on optimizing a grid-connected hybrid microgrid system (HMGS) for The Neotia University (TNU), West Bengal, India, utilizing renewable energy sources to improve sustainability and energy efficiency.
Anirban Maity +2 more
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Statistical modeling is essential in many scientific research areas because it explains the relationship between the response variable of interest and a number of explanatory variables.
Zakariya Algamal +2 more
doaj +1 more source
As a classification model, a broad learning system is widely used in wind turbine fault diagnosis. However, the setting of hyperparameters for the models directly affects the classification accuracy of the models and it generally relies on practical ...
Wumaier Tuerxun +4 more
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