Search Results - "AlThobiani, Faisal"

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  1. 1

    A Novel Framework for Robust Bearing Fault Diagnosis: Preprocessing, Model Selection, and Performance Evaluation by Althobiani, Faisal

    Published in IEEE access (2024)
    “…Diagnosing bearing faults is crucial for maintaining, ensuring reliability, and extending the lifespan of rotary machines. This process helps prevent…”
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    Journal Article
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    An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks by Tran, Van Tung, AlThobiani, Faisal, Ball, Andrew

    Published in Expert systems with applications (01-07-2014)
    “…•A new scheme for fault diagnosis of reciprocating compressor valves is proposed.•The proposed scheme is evaluated with experimental data.•A comparative study…”
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    Journal Article
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    Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study by AlShorman, Omar, Alkahatni, Fahad, Masadeh, Mahmoud, Irfan, Muhammad, Glowacz, Adam, Althobiani, Faisal, Kozik, Jaroslaw, Glowacz, Witold

    Published in Advances in Mechanical Engineering (01-02-2021)
    “…Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating machinery (RM) has a vital role in the modern industrial world. However, the…”
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    Book Review Journal Article
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    Interference mitigation in intentional jammers aided non-uniform heterogeneous cellular networks by Ghonaim, Saleh Mohammed, Khan, Samar, Althobiani, Faisal, Alghaffari, Shadi, Khan, Sheraz, Irfan, Muhammad, Haroon, Muhammad Sajid, Muhammad, Fazal

    Published in PloS one (28-06-2023)
    “…Coverage and capacity are optimized in fifth generation (5G) networks by small base station (SBS) distribution in the coverage realm of macro base station…”
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    Journal Article
  5. 5

    Multi-region electricity demand prediction with ensemble deep neural networks by Irfan, Muhammad, Shaf, Ahmad, Ali, Tariq, Zafar, Mariam, Rahman, Saifur, Mursal, Salim Nasar Faraj, AlThobiani, Faisal, A Almas, Majid, Attar, H M, Abdussamiee, Nagi

    Published in PloS one (18-05-2023)
    “…Electricity consumption prediction plays a vital role in intelligent energy management systems, and it is essential for electricity power supply companies to…”
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    Journal Article
  6. 6

    Unusual Driver Behavior Detection in Videos Using Deep Learning Models by Abosaq, Hamad Ali, Ramzan, Muhammad, Althobiani, Faisal, Abid, Adnan, Aamir, Khalid Mahmood, Abdushkour, Hesham, Irfan, Muhammad, Gommosani, Mohammad E, Ghonaim, Saleh Mohammed, Shamji, V R, Rahman, Saifur

    Published in Sensors (Basel, Switzerland) (28-12-2022)
    “…Anomalous driving behavior detection is becoming more popular since it is vital in ensuring the safety of drivers and passengers in vehicles. Road accidents…”
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    Journal Article
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    Global horizontal irradiance prediction for renewable energy system in Najran and Riyadh by Irfan, Muhammad, Shaf, Ahmad, Ali, Tariq, Zafar, Maryam, AlThobiani, Faisal, Almas, Majid A., Attar, H. M., Alqhatani, Abdulmajeed, Rahman, Saifur, Almawgani, Abdulkarem H. M.

    Published in AIP advances (01-03-2024)
    “…Producing and supplying energy efficiently are important for many countries. Using models to predict energy production can help reduce costs, improve…”
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    Journal Article
  8. 8

    Design and Experimental Analysis of Multiband Frequency Reconfigurable Antenna for 5G and Sub-6 GHz Wireless Communication by Dildar, Haris, Althobiani, Faisal, Ahmad, Ikhlas, Khan, Wasi Ur Rehman, Ullah, Sadiq, Mufti, Naveed, Ullah, Shakir, Muhammad, Fazal, Irfan, Muhammad, Glowacz, Adam

    Published in Micromachines (Basel) (30-12-2020)
    “…A low-profile frequency reconfigurable monopole antenna operating in the microwave frequency band is presented in this paper. The proposed structure is printed…”
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    Journal Article
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    An Optimal Delay Tolerant and Improved Data Collection Schema using AUVs for Underwater Wireless Sensor Networks by Rahman, Saifur, Shaf, Ahmad, Ali, Tariq, Abosaq, Hamad Ali, Zafar, Maryam, Irfan, Muhammad, Althobiani, Faisal, Attar, H. M.

    Published in IEEE access (01-01-2024)
    “…This paper presents two Elliptical Trajectories for Efficient Data-gathering and Delay-tolerant (TETD 2 ) routing schemes for Underwater Wireless Sensor…”
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    Journal Article
  10. 10

    A Comparison of Machine Learning Methods for the Diagnosis of Motor Faults Using Automated Spectral Feature Extraction Technique by Irfan, Muhammad, Alwadie, Abdullah Saeed, AlThobiani, Faisal, Quraishi, Khurram Shehzad, Jalalah, Mohammed, Abbass, Ali, Rahman, Saifur, Khan, Mohammad Kamal Asif, Alqhtani, Samar

    Published in Journal of nondestructive evaluation (01-06-2022)
    “…Centrifugal pumps (CPs) are mainly composed of impeller and bearings. The operation of the CPs is disturbed if any of its components is faulty. Bearings faults…”
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    Journal Article
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    Condition monitoring of water pump bearings using ensemble classifier by Irfan, Muhammad, Althobiani, Faisal, Alwadie, Abdullah Saeed, Zaffar, Maryam, Abbass, Ali, Glowacz, Adam, Ghonaim, Saleh Mohammed, Abdushkour, Hesham, Rahman, Saifur, Alshorman, Omar, Asif Khan, Mohammad Kamal, Alqhtani, Samar, Alkahtani, Fahad Salem

    Published in Advances in mechanical engineering (01-03-2022)
    “…The bearings faults are reported to be the major reason for centrifugal pump (CPs) failures. Limited literature is available to diagnose the minor scratches in…”
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    Journal Article
  12. 12

    A Scalo gram-based CNN Ensemble Method with Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis by Irfan, Muhammad, Mushtaq, Zohaib, Khan, Nabeel Ahmed, Mursal, Salim Nasar Faraj, Rahman, Saifur, Magzoub, Muawia Abdelkafi, Latif, Muhammad Armghan, Althobiani, Faisal, Khan, Imran, Abbas, Ghulam

    Published in IEEE access (01-01-2023)
    “…Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively…”
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    Journal Article
  13. 13

    Estimating the Standardized Precipitation Evapotranspiration Index Using Data-Driven Techniques: A Regional Study of Bangladesh by Elbeltagi, Ahmed, AlThobiani, Faisal, Kamruzzaman, Mohammad, Shaid, Shamsuddin, Roy, Dilip Kumar, Deb, Limon, Islam, Md Mazadul, Kundu, Palash Kumar, Rahman, Md. Mizanur

    Published in Water (Basel) (01-06-2022)
    “…Drought prediction is the most effective way to mitigate drought impacts. The current study examined the ability of three renowned machine learning models,…”
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    Journal Article
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    Enhancing fine retinal vessel segmentation: Morphological reconstruction and double thresholds filtering strategy by Abdushkour, Hesham, Soomro, Toufique A, Ali, Ahmed, Ali Jandan, Fayyaz, Jelinek, Herbert, Memon, Farida, Althobiani, Faisal, Mohammed Ghonaim, Saleh, Irfan, Muhammad

    Published in PloS one (19-07-2023)
    “…Eye diseases such as diabetic retinopathy are progressive with various changes in the retinal vessels, and it is difficult to analyze the disease for future…”
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    Journal Article
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    Ensemble learning approach for advanced metering infrastructure in future smart grids by Irfan, Muhammad, Ayub, Nasir, Althobiani, Faisal, Masood, Sabeen, Arbab Ahmed, Qazi, Saeed, Muhammad Hamza, Rahman, Saifur, Abdushkour, Hesham, Gommosani, Mohammad E, Shamji, V. R, Faraj Mursal, Salim Nasar

    Published in PloS one (18-10-2023)
    “…Typically, load forecasting models are trained in an offline setting and then used to generate predictions in an online setting. However, this approach, known…”
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    Journal Article
  18. 18

    An application to transient current signal based induction motor fault diagnosis of Fourier–Bessel expansion and simplified fuzzy ARTMAP by Tran, Van Tung, AlThobiani, Faisal, Ball, Andrew, Choi, Byeong-Keun

    Published in Expert systems with applications (01-10-2013)
    “…•Propose a novel data driven-based framework for induction motor fault diagnosis.•Combine Fourier–Bessel expansion with GDA and SFAM.•Verify the proposed…”
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    Journal Article
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