Search Results - "Ezugwu Absalom E."

A novel wavelet decomposition and transformation convolutional neural network with data augmentation for breast cancer detection using digital mammogram by Oyelade, Olaide N., Ezugwu, Absalom E.

“…Research in deep learning (DL) has continued to provide significant solutions to the challenges of detecting breast cancer in digital images. Image…”
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Advanced arithmetic optimization algorithm for solving mechanical engineering design problems by Agushaka, Jeffrey O, Ezugwu, Absalom E

“…The distributive power of the arithmetic operators: multiplication, division, addition, and subtraction, gives the arithmetic optimization algorithm (AOA) its…”
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Metaheuristics: a comprehensive overview and classification along with bibliometric analysis by Ezugwu, Absalom E., Shukla, Amit K., Nath, Rahul, Akinyelu, Andronicus A., Agushaka, Jeffery O., Chiroma, Haruna, Muhuri, Pranab K.

“…Research in metaheuristics for global optimization problems are currently experiencing an overload of wide range of available metaheuristic-based solution…”
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Automated COVID-19 detection with convolutional neural networks by Dumakude, Aphelele, Ezugwu, Absalom E.

“…This paper focuses on addressing the urgent need for efficient and accurate automated screening tools for COVID-19 detection. Inspired by existing research…”
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A bioinspired neural architecture search based convolutional neural network for breast cancer detection using histopathology images by Oyelade, Olaide N., Ezugwu, Absalom E.

“…The design of neural architecture to address the challenge of detecting abnormalities in histopathology images can leverage the gains made in the field of…”
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Smart healthcare support for remote patient monitoring during covid-19 quarantine by Taiwo, Olutosin, Ezugwu, Absalom E.

“…Social distancing and quarantining are now standard practices which are implemented worldwide since the outbreak of the novel coronavirus (COVID-19) disease…”
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A conceptual comparison of several metaheuristic algorithms on continuous optimisation problems by Ezugwu, Absalom E., Adeleke, Olawale J., Akinyelu, Andronicus A., Viriri, Serestina

“…The field of continuous optimisation has witnessed an explosion of the so-called new or novel metaheuristic algorithms. Though not all of these algorithms are…”
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Immunity-based Ebola optimization search algorithm for minimization of feature extraction with reduction in digital mammography using CNN models by Oyelade, Olaide N., Ezugwu, Absalom E.

“…Feature classification in digital medical images like mammography presents an optimization problem which researchers often neglect. The use of a convolutional…”
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Boosting k-means clustering with symbiotic organisms search for automatic clustering problems by Ikotun, Abiodun M, Ezugwu, Absalom E

“…Kmeans clustering algorithm is an iterative unsupervised learning algorithm that tries to partition the given dataset into k pre-defined distinct…”
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A hybrid binary dwarf mongoose optimization algorithm with simulated annealing for feature selection on high dimensional multi-class datasets by Akinola, Olatunji A., Ezugwu, Absalom E., Oyelade, Olaide N., Agushaka, Jeffrey O.

“…The dwarf mongoose optimization (DMO) algorithm developed in 2022 was applied to solve continuous mechanical engineering design problems with a considerable…”
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A generative adversarial network for synthetization of regions of interest based on digital mammograms by Oyelade, Olaide N., Ezugwu, Absalom E., Almutairi, Mubarak S., Saha, Apu Kumar, Abualigah, Laith, Chiroma, Haruna

“…Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, and synthesis problems. The performance of these models…”
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Evolutionary binary feature selection using adaptive ebola optimization search algorithm for high-dimensional datasets by Oyelade, Olaide N, Agushaka, Jeffrey O, Ezugwu, Absalom E

“…Feature selection problem represents the field of study that requires approximate algorithms to identify discriminative and optimally combined features. The…”
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Binary dwarf mongoose optimizer for solving high-dimensional feature selection problems by Akinola, Olatunji A, Agushaka, Jeffrey O, Ezugwu, Absalom E

“…Selecting appropriate feature subsets is a vital task in machine learning. Its main goal is to remove noisy, irrelevant, and redundant feature subsets that…”
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Symbiotic organisms search algorithm for the unrelated parallel machines scheduling with sequence-dependent setup times by Ezugwu, Absalom E, Adeleke, Olawale J, Viriri, Serestina

“…This paper addresses the problem of makespan minimization on unrelated parallel machines with sequence dependent setup times. The symbiotic organisms search…”
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An Improved Firefly Algorithm for the Unrelated Parallel Machines Scheduling Problem With Sequence-Dependent Setup Times by Ezugwu, Absalom E., Akutsah, Francis

“…Research in the area of unrelated parallel machine scheduling problem (UPMSP) with sequence-dependent setup times has received little attention from the…”
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Advanced dwarf mongoose optimization for solving CEC 2011 and CEC 2017 benchmark problems by Agushaka, Jeffrey O, Akinola, Olatunji, Ezugwu, Absalom E, Oyelade, Olaide N, Saha, Apu K

“…This paper proposes an improvement to the dwarf mongoose optimization (DMO) algorithm called the advanced dwarf mongoose optimization (ADMO) algorithm. The…”
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Initialisation Approaches for Population-Based Metaheuristic Algorithms: A Comprehensive Review by Agushaka, Jeffrey O., Ezugwu, Absalom E.

“…A situation where the set of initial solutions lies near the position of the true optimality (most favourable or desirable solution) by chance can increase the…”
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Metaheuristic algorithms for one-dimensional bin-packing problems: A survey of recent advances and applications by Munien, Chanaleä, Ezugwu, Absalom E.

“…The bin-packing problem (BPP) is an age-old NP-hard combinatorial optimization problem, which is defined as the placement of a set of different-sized items…”
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Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review by Chakraborty, Sanjoy, Saha, Apu Kumar, Ezugwu, Absalom E., Agushaka, Jeffrey O., Zitar, Raed Abu, Abualigah, Laith

“…Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience,…”
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A Comparative Study of Meta-Heuristic Optimization Algorithms for 0 - 1 Knapsack Problem: Some Initial Results by Ezugwu, Absalom E., Pillay, Verosha, Hirasen, Divyan, Sivanarain, Kershen, Govender, Melvin

“…In this paper, we present some initial results of several meta-heuristic optimization algorithms, namely, genetic algorithms, simulated annealing, branch and…”
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