Yazar "Pashaei, Elham" 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 ... -
Konuşmalardaki duygunun evrişimsel LSTM modeli ile tespiti
Öztürk, Ömer Faruk; Pashaei, Elham (DÜ Mühendislik Fakültesi / Dicle Üniversitesi, 2021)Konuşmada duygu tanıma İngilizce adıyla Speech emotion recognition (SER), duyguların konuşma sinyalleri aracılığıyla tanınması işlemidir. İnsanlar, iletişiminin doğal bir parçası olarak bu işlemi verimli bir şekilde ... -
Mutation-based Binary Aquila optimizer for gene selection in cancer classification
Pashaei, Elham (ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 2022)Microarray data classification is one of the hottest issues in the field of bioinformatics due to its efficiency in diagnosing patients’ ailments. But the difficulty is that microarrays possess a huge number of genes where ... -
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 ...
