Yazar "Pashaei, Elnaz" için listeleme
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An efficient binary chimp optimization algorithm for feature selection in biomedical data classification
Pashaei, Elnaz; Pashaei, Elham (SPRINGER LONDON LTD, 236 GRAYS INN RD, 6TH FLOOR, LONDON WC1X 8HL, ENGLAND, 2022)Accurate classification of high-dimensional biomedical data highly depends on the efficient recognition of the data’s main features which can be used to assist diagnose related diseases. However, due to the existence of ... -
Gaussian quantum arithmetic optimization-based histogram equalization for medical image enhancement
Pashaei, Elnaz; Pashaei, Elham (SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2023)The quality of medical images is critical for accurate diagnosis. This paper introduces a novel Quantum-behaved Arithmetic Optimization Algorithm (QAOA) for medical images. A mutation operator with Gaussian probability ... -
Gene selection using hybrid dragonfly black hole algorithm: A case study on RNA-seq COVID-19 data
Pashaei, Elnaz; Pashaei, Elham (ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495, 2021)This paper introduces a new hybrid approach (DBH) for solving gene selection problem that incorporates the strengths of two existing metaheuristics: binary dragonfly algorithm (BDF) and binary black hole algorithm (BBHA). ... -
Hybrid binary arithmetic optimization algorithm with simulated annealing for feature selection in high‑dimensional biomedical data
Pashaei, Elham; Pashaei, Elnaz (SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2022)Gene expression data play a signifcant role in the development of efective cancer diagnosis and prognosis techniques. However, many redundant, noisy, and irrelevant genes (features) are present in the data, which negatively ... -
Hybrid Hypercube Optimization Search Algorithm and Multilayer Perceptron Neural Network for Medical Data Classification
Tunay, Mustafa; Pashaei, Elnaz; Pashaei, Elham (HINDAWI LTD, ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND, 2022)The hypercube optimization search (HOS) approach is a new efficient and robust metaheuristic algorithm that simulates the dove's movement in quest of new food sites in nature, utilizing hypercubes to depict the search ... -
Training Feedforward Neural Network Using Enhanced Black Hole Algorithm: A Case Study on COVID-19 Related ACE2 Gene Expression Classification
Pashaei, Elham; Pashaei, Elnaz (SPRINGER HEIDELBERG, TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY, 2021)The aim of this paper is twofold. First, black hole algorithm (BHA) is proposed as a new training algorithm for feedforward neural networks (FNNs), since most traditional and metaheuristic algorithms for training FNNs ...
