A novel approach to recognition of Alzheimer’s and Parkinson’s diseases: random subspace ensemble classifier based on deep hybrid features with a super-resolution image by Adi Alhudhaif

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An effective classification framework for brain-computer interface system design based on combining of fNIRS and EEG signals by Adi Alhudhaif

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A non-linear optimization based robust attribute weighting model for the two-class classification problems by Adi Alhudhaif

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Residual block fully connected DCNN with categorical generalized focal dice loss and its application to Alzheimer’s disease severity detection by Adi Alhudhaif, Kemal Polat

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Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm by Adi Alhudhaif, Zafer Cömert, Kemal Polat

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A Novel Multiple Access Scheme for 6G Assisted Massive Machine Type Communication by Ashu Taneja, Adi Alhudhaif, Shtwai Alsubai, Abdullah Alqahtani

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An innovative approach to detecting the freshness of fruits and vegetables through the integration of convolutional neural networks and bidirectional long short-term memory network by Yue Yuan, Jichi Chen, Kemal Polat, Adi Alhudhaif

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Leveraging Big Data Analytics for Enhanced Clinical Decision-Making in Healthcare by Fatima Hussain, Muhammad Nauman, Abdullah Alghuried, Adi Alhudhaif, Nadeem Akhtar

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Block Cipher Nonlinear Confusion Components Based on New 5-D Hyperchaotic System by Adi Alhudhaif, Musheer Ahmad, Ahmed Alkhayyat, Nestor Tsafack, Alaa Kadhim Farhan, Rafeeq Ahmed

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A Novel Automatic Audiometric System Design Based on Machine Learning Methods Using the Brain’s Electrical Activity Signals by Mustafa Küçükakarsu, Ahmet Reşit Kavsaoğlu, Fayadh Alenezi, Adi Alhudhaif, Raghad Alwadie, Kemal Polat

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