Detection of Focal and Non-Focal Electroencephalogram Signals Using Fast Walsh-Hadamard Transform and Artificial Neural Network [PDF]
Sensors, 2020 The discrimination of non-focal class (NFC) and focal class (FC), is vital in localizing the epileptogenic zone (EZ) during neurosurgery. In the conventional diagnosis method, the neurologist has to visually examine the long hour electroencephalogram ...
Prasanna J. +6 more
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A novel blockchain-watermarking mechanism utilizing interplanetary file system and fast walsh hadamard transform [PDF]
iScienceSummary: This article proposes a new digital watermarking mechanism based on the Ethereum blockchain, Smart Contract, and Interplanetary File System (IPFS), with an enhanced Fast Walsh Hadamard Transform (FWHT) algorithm for watermark embedding and ...
Tong Liu +4 more
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Blind Watermarking of Color Medical Images Using Hadamard Transform and Fractional-Order Moments [PDF]
Sensors, 2021 This paper proposes a new blind, color image watermarking method using fast Walsh–Hadamard transformation (FWHT) and multi-channel fractional Legendre–Fourier moments (MFrLFMs). The input host color image is first split into 4 × 4 non-interfering blocks,
Mostafa M. Abdel-Aziz +3 more
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DIAROP: Automated Deep Learning-Based Diagnostic Tool for Retinopathy of Prematurity [PDF]
Diagnostics, 2021 Retinopathy of Prematurity (ROP) affects preterm neonates and could cause blindness. Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP.
Omneya Attallah
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A Framework for Lung and Colon Cancer Diagnosis via Lightweight Deep Learning Models and Transformation Methods [PDF]
Diagnostics, 2022 Among the leading causes of mortality and morbidity in people are lung and colon cancers. They may develop concurrently in organs and negatively impact human life.
Omneya Attallah +2 more
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A Method for Diagnosing Gearboxes of Means of Transport Using Multi-Stage Filtering and Entropy [PDF]
Entropy, 2019 The paper presents a method of processing vibration signals which was designed to detect damage to wheels of gearboxes for means of transport. This method uses entropy calculation, and multi-stage filtering calculated by means of digital filters and the ...
Tomasz Figlus
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Fault identification of ball bearings using Fast Walsh Hadamard Transform, LASSO feature selection, and Random forest classifier [PDF]
FME Transactions, 2022 To reveal the machinery health condition, time-frequency analysis is an effective tool when signals are non-stationary. To identify bearing faults, numerous techniques have been proposed by various researchers.
Dave V., Thakker H., Vakharia V.
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An audio encryption scheme based on Fast Walsh Hadamard Transform and mixed chaotic keystreams [PDF]
Applied Computing and Informatics, 2023 This paper introduces an audio encryption algorithm based on permutation of audio samples using discrete modified Henon map followed by substitution operation with keystream generated from the modified Lorenz-Hyperchaotic system.
F.J. Farsana, V.R. Devi, K. Gopakumar
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Integral Attacks on Midori64 [PDF]
Jisuanji gongcheng, 2021 Proven to be an important key recovery method,the technique of integral attacks has been widely used in the analysis of block ciphers.This paper describes an attempt at integral attacks on the lightweight block cipher,Midori64.Three 6-round zero ...
WANG Chao, CHEN Huaifeng
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Cache miss analysis of WHT algorithms [PDF]
Discrete Mathematics & Theoretical Computer Science, 2005 On modern computers memory access patterns and cache utilization are as important, if not more important, than operation count in obtaining high-performance implementations of algorithms.
Mihai Furis +2 more
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