Search Results - Convolutional mode

Dynamic characteristics of a convoluted pipe based on euler beam equation using transfer matrix method / Muhamad Norhisham Abdul Ram, Ahmad Azlan Mat Isa and Mohamed Dahalan Mohame...

“…A numerical technique based on transfer matrix method (TMM) using Euler Beam theory is applied to analyse the dynamic characteristics of a uniform pipe in a convoluted pipe from which the natural frequencies and mode shapes are obtained. …”
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Performance study on effect of convolutional coding in WCDMA system with different channel condition by Mohd. Fahmi, Azlin

“…In order to visualize the effect of convolutional coding in communication channel, simulation method of the WCDMA system is carried out. …”
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The impact of the soft errors in convolutional neural network on GPUS: Alexnet as case study by Adam Ismail Hammad, Khalid, Mohamed Abdelaziz, Izzeldin Ibrahim, Younis, Younis M.

“…Convolutional Neural Networks (CNNs) have been increasingly deployed in many applications, including safety critical system such as healthcare and autonomous vehicles. …”
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Noise Eliminated Ensemble Empirical Mode Decomposition Scalogram Analysis for Rotating Machinery Fault Diagnosis by Faysal, Atik, Ngui, Wai Keng, Lim, Meng Hee, Leong, Mohd Salman

“…In this study, noise eliminated ensemble empirical mode decomposition (NEEEMD) was used for fault feature extraction. …”
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Structural fault diagnosis of UAV based on convolutional neural network and data processing technology by Ma, Yumeng, Mustapha, Faizal, Ishak, Mohamad Ridzwan, Abdul Rahim, Sharafiz, Mustapha, Mazli

“…Finally, a convolutional neural network was used to identify the damage based on the vibration data. …”
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Noise eliminated ensemble empirical mode decomposition scalogram analysis for rotating machinery fault diagnosis by Atik, Faysal

“…A convolution neural network (CNN) classifier was applied for classification because of its feature-learning ability. …”
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Development of laser cleaning state classification model through the acquired acoustic signal using the empirical mode decomposition and one one-dimensional convolutional neural network by Mohd Fadhlan, Mohd Yusof, Syafiq Ahmad, Abdul Aleem, M. A. M., Halil, M., Ishak

“…The primary objective of integrating Empirical Mode Decomposition (EMD) is to enhance the precision and reliability of the model generated from a one-dimensional Convolutional Neural Network (1D-CNN). …”
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Convolutional neural network training incorporating rotation-based generated patterns and handwritten numeral recognition of major Indian scripts by Akhand, Md Aminul Haque, Ahmed, Mahtab, Rahman, M.M. Hafizur, Islam, Md Monirul

“…Well-performed handwritten numeral recognition system for Bangla and Devnagari is challenging because of similar shaped numerals in both scripts; few numerals differ from their similar ones with a very few variation even in printed form. In this study, convolutional neural network (CNN) based two different methods have been investigated for better recognition of Bangla and Devnagari handwritten numerals. …”
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Automated Diagnosis of Major Depressive Disorder Using Brain Effective Connectivity and 3D Convolutional Neural Network by Khan, D.M., Yahya, N., Kamel, N., Faye, I.

“…In this study, EEG signals from 30 MDD and 30 healthy control (HC) are used to estimate the effective connectivity within the brain default mode network (DMN). Then, effective connections between the major six regions of the DMN are used to train and test a three-dimensional (3D) convolutional neural network. …”
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Alternative forms of dispute resolution by Ali Mohamed, Ashgar Ali

“…Hence, this chapter highlights firstly the constrains of the traditional mode of dispute settlement, and thereafter discusses the alternative modes of dispute resolutions with special reference to mediation and arbitration.…”
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Autism Spectrum Disorder Detection Based on Wavelet Transform of BOLD fMRI Signals Using Pre-trained Convolution Neural Network by Al-Hiyali, M.I., Yahya, N., Faye, I., Khan, Z.

“…This study aims to present several convolutional neural networks as tools for ASD detection based on temporal dynamic features classification and improve the ASD prediction results. …”
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Autism Spectrum Disorder Detection Based on Wavelet Transform of BOLD fMRI Signals Using Pre-trained Convolution Neural Network by Al-Hiyali, M.I., Yahya, N., Faye, I., Khan, Z.

“…This study aims to present several convolutional neural networks as tools for ASD detection based on temporal dynamic features classification and improve the ASD prediction results. …”
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Flood Prediction Based On Deep Learning Networks With Variational Mode Decomposition by Ni, Chenmin

“…The third model uses an optimized Gated Recurrent Unit - Temporal Convolutional Network (GRU-TCN) to forecast daily data at point estimates and confidence intervals. …”
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Alternative dispute resolution by Ali Mohamed, Ashgar Ali

“…Hence, this chapter would highlight the constrains of the traditional mode of dispute settlement, and thereafter discuss the alternative modes of dispute resolutions with special reference to mediation and arbitration…”
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Effective Connectivity in Default Mode Network for Alcoholism Diagnosis by Khan, D.M., Yahya, N., Kamel, N., Faye, I.

“…For this purpose, EEG recording of 31 healthy controls and 31 AUD patients are used for the calculation of effective connectivity (EC) between the various regions of the brain Default Mode Network (DMN). The EC is estimated using partial directed coherence (PDC) which are then used as input to a 3D Convolutional Neural Network (CNN) for binary classification of AUD cases. …”
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Leveraging CQT-VMD and pre-trained AlexNet architecture for accurate pulmonary disease classification from lung sound signals by Neili, Zakaria, Sundaraj, Kenneth

“…This study presents a novel algorithm for classifying pulmonary diseases using lung sound signals by integrating Variational Mode Decomposition (VMD) and the Constant-Q Transform (CQT) within a pre-trained AlexNet convolutional neural network. …”
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Hybrid OCSSA-VMD and optimized deep learning networks for runoff forecasting by Ma, Hong, Shareduwan Mohd Kasihmuddin, Mohd, Mansor, Mohd. Asyraf, Mohd Jamaludin, Siti Zulaikha, Marsani, Muhammad Fadhil, Che Rose, Farid Zamani

“…The Osprey-Cauchy-Sparrow Search Algorithm (OCSSA) is employed to fine-tune the parameters of Variational Mode Decomposition (VMD), which is utilized to break down the original runoff data into multiple Intrinsic Mode Functions (IMFs). …”
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User identification and verification based on auditory evoked potentials using CNN by Vida Ghalami, Tohid Yousefi Rezaii, Mohammad Ali Tinati, Ali Farzamnia, Azam Khalili, Amir Rastegarnia, Ervin Gubin Moung

“…The reported results demonstrate a classification accuracy of 98.99% in identification mode and an equal error rate of 1.18% in verification mode. …”
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Real‑time chatter detection during turning operation using wavelet scattering network by Sharma, Sanjay, Gupta, Vijay Kumar, Rahman, Mustafizur, Saleh, Tanveer

“…Some manual feature extraction methods used to detect the chatter involve wavelet packet transform (WPT), ensemble empirical mode decomposition (EEMD), local mean decomposition (LMD), and variational mode decomposition (VMD). …”
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Computer vision that can ‘see’ in the dark by Wong, Yan Chiew, Ahmad Radzi, Syafeeza, Goh, Shi Yong, Sarban Singh, Ranjit Singh

“…A hybrid model of integrating convolutional neural network (CNN) into YOLOv7 has been proposed. …”
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