Search Results - "Abdellatif, Abdallah"

A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations by Mohammed Hakim, Abdoulhdi A. Borhana Omran, Ali Najah Ahmed, Muhannad Al-Waily, Abdallah Abdellatif

“…Rolling bearing fault detection is critical for improving production efficiency and lowering accident rates in complicated mechanical systems, as well as huge…”
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Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization by Mubarak, Hamza, Abdellatif, Abdallah, Ahmad, Shameem, Zohurul Islam, Mohammad, Muyeen, S.M., Abdul Mannan, Mohammad, Kamwa, Innocent

“…[Display omitted] •A hybrid DL model (CNN-BiLSTM-AR) is proposed to forecast the electricity price.•Integrating an AR model in parallel with a CNN-BiLSTM…”
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Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain by Hakim, Mohammed, Omran, Abdoulhadi A. Borhana, Inayat-Hussain, Jawaid I., Ahmed, Ali Najah, Abdellatef, Hamdan, Abdellatif, Abdallah, Gheni, Hassan Muwafaq

“…The massive environmental noise interference and insufficient effective sample degradation data of the intelligent fault diagnosis performance methods pose an…”
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Improved Active and Reactive Energy Forecasting Using a Stacking Ensemble Approach: Steel Industry Case Study by Mubarak, Hamza, Sanjari, Mohammad J., Stegen, Sascha, Abdellatif, Abdallah

“…The prevalence of substantial inductive/capacitive loads within the industrial sectors induces variations in reactive energy levels. The imbalance between…”
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Day-Ahead Electricity Price Forecasting based on Hybrid Regression Model by Alkawaz, Ali Najem, Abdellatif, Abdallah, Kanesan, Jeevan, Khairuddin, Anis Salwa Mohd, Gheni, Hassan Muwafaq

“…Since the deregulation of the power markets, accurate short term Electricity Price Forecasting (EPF) has become crucial in maximizing economic benefits and…”
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An Effective Heart Disease Detection and Severity Level Classification Model Using Machine Learning and Hyperparameter Optimization Methods by Abdellatif, Abdallah, Abdellatef, Hamdan, Kanesan, Jeevan, Chow, Chee-Onn, Chuah, Joon Huang, Gheni, Hassan Muwafaq

“…Cardiovascular disease (CVD) is the leading cause of death worldwide. A Machine Learning (ML) system can predict CVD in the early stages to mitigate mortality…”
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Real-time driver identification in IoV: A deep learning and cloud integration approach by Gheni, Hassan Muwafaq, AbdulRahaim, Laith A., Abdellatif, Abdallah

“…The Internet of Vehicles (IoV) emerges as a pivotal extension of the Internet of Things (IoT), specifically geared towards transforming the automotive…”
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Development and Performance Evaluation of an IoT-Integrated Breath Analyzer by Khamis, Abd Alghani, Idris, Aida, Abdellatif, Abdallah, Mohd Rom, Noor Ashikin, Khamis, Taha, Ab Karim, Mohd Sayuti, Janasekaran, Shamini, Abd Rashid, Rusdi Bin

“…Although alcohol consumption may produce effects that can be beneficial or harmful, alcohol consumption prevails among communities around the globe…”
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Improving the Heart Disease Detection and Patients' Survival Using Supervised Infinite Feature Selection and Improved Weighted Random Forest by Abdellatif, Abdallah, Abdellatef, Hamdan, Kanesan, Jeevan, Chow, Chee-Onn, Chuah, Joon Huang, Gheni, Hassan Muwafaq

“…Heart disease is the leading cause of death worldwide. A Machine Learning (ML) system can detect heart disease in the early stages to mitigate mortality rates…”
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Production of Aluminum AA6061 Hybrid Nanocomposite from Waste Metal Using Hot Extrusion Process: Strength Performance and Prediction by RSM and Random Forest by Msebawi, Muntadher Sabah, Leman, Zulkiflle, Shamsudin, Shazarel, Tahir, Suraya Mohd, Aiza Jaafar, Che Nor, Ariff, Azmah Hanim Mohamed, Zahari, Nur Ismarrubie, Abdellatif, Abdallah

“…To date, various studies have analysed the effects of reinforced ceramic on the properties of AA6061 recycled aluminum alloy chips, such as the tensile…”
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Knowledge-based HR practices, π-shaped skills and innovative performance in the contemporary organizations by Elayan, Malek Bakheet, Hayajneh, Jamal Abdelrahman M., Abdellatif, Mamdouh Abdallah Mohamed, Abubakar, A. Mohammed

“…PurposeAs technology accelerates, the pace of innovation and product and process life cycles have significantly decreased. Firms seek to leverage their…”
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Electricity Price Forecasting One Day Ahead by Employing Hybrid Deep Learning Model by Abdellatif, Abdallah, Mubarak, Hamza, Ahmad, Shameem, Mekhilef, Saad, Abdellatef, Hamdan, Mokhlis, Hazlie, Kanesan, Jeevan

“…This study proposes hybrid Deep Learning (DL) models for electricity price forecasting (EPF) one day ahead of the Nord Pool spot electricity market. The…”
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Smart and Coordinated Charging Using Ensemble Model for Plug-in Electric Vehicle by Najem, Ali, Abdellatif, Abdallah, Kanesan, Jeevan, Khairuddin, Anis Salwa Mohd, Kairi, Muhammad Izhar

“…This work proposed smart and coordinated Plugin Electric Vehicle (PEV) charging technique, which incorporates the forecasting of electricity prices. This work…”
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Business Analytics Capabilities and Decision Quality: The Mediating Roles of Decision Speed and Comprehensiveness by Abdellatif, Mamdouh Abdallah Mohamed, Abubakar, A. Mohammed, Elayan, Malek Bakheet Haroun, Hayajneh, Jamal Abdelrahman.M.

“…This paper examines the nexus between business analytics and strategic decision facets using the resource-based theory. Analysis with partial least squares…”
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Short-term Electricity Price Forecasting Using Interpretable Hybrid Machine Learning Models by Mubarak, Hamza, Ahmad, Shameem, Hossain, Al Amin, Horan, Ben, Abdellatif, Abdallah, Mekhilef, Saad, Seyedmahmoudian, Mehdi, Stojcevski, Alex, Mokhlis, Hazlie, Kanesan, Jeevan, Becherif, Mohamed

“…In this paper, a combination of single and hybrid Machine learning (ML) models were proposed to forecast the electricity price one day ahead for the Nord Pool…”
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A hybrid machine learning method with explicit time encoding for improved Malaysian photovoltaic power prediction by Mubarak, Hamza, Hammoudeh, Ahmad, Ahmad, Shameem, Abdellatif, Abdallah, Mekhilef, Saad, Mokhlis, Hazlie, Dupont, Stéphane

“…Nowadays, with the growing interest in green energy, further improvements in photovoltaic (PV) power systems are needed. In this regard, the main aim is to…”
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A new framework for electricity price forecasting via multi-head self-attention and CNN-based techniques in the competitive electricity market by Pourdaryaei, Alireza, Mohammadi, Mohammad, Mubarak, Hamza, Abdellatif, Abdallah, Karimi, Mazaher, Gryazina, Elena, Terzija, Vladimir

“…Due to recent technical improvements, the smart grid has become a feasible platform for electricity market participants to successfully regulate their bidding…”
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Enhancing interpretability in power management: A time-encoded household energy forecasting using hybrid deep learning model by Mubarak, Hamza, Stegen, Sascha, Bai, Feifei, Abdellatif, Abdallah, Sanjari, Mohammad J.

“…[Display omitted] •A hybrid deep learning model is developed to forecast active and reactive power.•Concept of explicit time encoding is proposed as a factor…”
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Computational detection and interpretation of heart disease based on conditional variational auto-encoder and stacked ensemble-learning framework by Abdellatif, Abdallah, Mubarak, Hamza, Abdellatef, Hamdan, Kanesan, Jeevan, Abdelltif, Yahya, Chow, Chee-Onn, Huang Chuah, Joon, Muwafaq Gheni, Hassan, Kendall, Graham

“…•The proposed CVAE-based method surpassed classical data balancing methods (SMOTE & Adasyn).•A Stack Predictor for Heart Disease (SPFHD) is proposed for heart…”
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Dual therapy of cancer using optimal control supported by swarm intelligence by Tan, Poh Ling, Kanesan, Jeevan, Chuah, Joon Huang, Badruddin, Irfan Anjum, Abdellatif, Abdallah, Kamangar, Sarfaraz, Hussien, Mohamed, Ali Baig, Maughal Ahmed, Ameer Ahammad, N

“…The scientific revolution in the treatment of many illnesses has been significantly aided by stem cells. This paper presents an optimal control on a…”
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