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Plant disease detection using drones in precision agriculture
Published 2023“…Nowadays, one of the most popular approaches for this automation is to use drones. Though there are several articles published on the use of drones for plant disease detection, a systematic overview of these studies is lacking. …”
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Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem
Published 2023“…This paper presents efforts to solve the multi-track measurement assignment problem in drone detection and tracking. In many cases, several radars are collectively used to track drones efficiently, generating measurements and several tracks under different circumstances. …”
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…This paper presents a novel hybrid optimization method to solve the resource allocation problem for multi-target multi-sensor tracking of drones. This hybrid approach, the Improved Prairie Dog Optimization Algorithm (IPDOA) with the Genetic Algorithm (GA), utilizes the strengths of both algorithms to improve the overall optimization performance. …”
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Evolutionary algorithms for state justification in sequential automatic test pattern generation
Published 2005“…State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images
Published 2023“…However, manual CT scan analysis is time-consuming and prone to errors/not accurate. Considering these shortcomings, computational methods especially machine learning and deep learning algorithms are leveraged as an alternative to accelerate the accurate detection of CT scans as cancerous, and non-cancerous. …”
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An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation
Published 2001“…State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation
Published 2001“…State justification using deterministic algorithms is a difficult problem and is prone to many backtracks, which can lead to high execution times. …”
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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
Published 2022“…Additionally, the proposed approach achieved a 6.43 percent better score in PSNR with a variable measure of code inserted in similar images with distinct dimensions. …”
