Parcourir par auteur "Abouhawwash, Mohamed"

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  • Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection 
    Bacanin, Nebojsa; Zivkovic, Miodrag; Antonijevic, Milos; Kandasamy, Venkatachalam; Lee, Jinseok; Nam, Yunyoung; Marjanovic, Marina; Strumberger, Ivana; Abouhawwash, Mohamed (SPRINGER HEIDELBERG, 2023)
    Feature selection and hyper-parameters optimization (tuning) are two of the most important and challenging tasks in machine learning. To achieve satisfying performance, every machine learning model has to be adjusted for ...
  • Air Pollution Prediction Using Dual Graph Convolution LSTM Technique 
    Ram, R. Saravana; Kandasamy, Venkatachalam; Masud, Mehedi; Abouhawwash, Mohamed (2022)
    In current scenario, Wireless Sensor Networks (WSNs) has been applied on variety of applications such as targets tracking, natural resources inves-tigati on, monitoring on unapproachable place and so on. Through the sensor ...
  • Blockchain-enabled K-harmonic framework for industrial IoT-based systems 
    Baalamurugan, K. M.; Prabu, P.; Bacanin, Nebojsa; Kandasamy, Venkatachalam; Askar, S. S.; Abouhawwash, Mohamed (NATURE PORTFOLIO, 2023)
    Industrial Internet of Things (IIoT)-based systems have become an important part of industry consortium systems because of their rapid growth and wide-ranging application. Various physical objects that are interconnected ...
  • Cost Efficient Scheduling Using Smart Contract Cognizant Ethereum for IoMT 
    Ravikumar, G.; Kandasamy, Venkatachalam; Masud, Mehedi; Abouhawwash, Mohamed (2022)
    Recently internet of medical things (IoMT) act as a smart doctor using sensor wearable's device in human body. This smart doctor device senses necessary medical data from human and transfer via network immediately to ...
  • Crypto Hash Based Malware Detection in IoMT Framework 
    Punithavathi, R.; Kandasamy, Venkatachalam; Masud, Mehedi; AlZain, Mohammed A.; Abouhawwash, Mohamed (2022)
    The challenges in providing e-health services with the help of Internet of Medical Things (IoMT) is done by connecting to the smart medical devices. Through IoMT sensor devices/smart devices, physicians share the sensitive ...
  • Extreme Learning Bat Algorithm in Brain Tumor Classification 
    Sreekanth, G. R.; Alrasheedi, Adel Fahad; Kandasamy, Venkatachalam; Abouhawwash, Mohamed; Askar, S. S. (2022)
    Brain tumor is considered as an unusual cell that presents and grows in the brain. Similarly, it may lead to cancerous or non-cancerous. So, to improve the survival rate of the patient and to give the best treatment at the ...
  • Machine learning based IoT system for secure traffic management and accident detection in smart cities 
    Balasubramanian, Saravana Balaji; Balaji, Prasanalakshmi; Munshi, Asmaa; Almukadi, Wafa; Prabhu, T. N; Kandasamy, Venkatachalam; Abouhawwash, Mohamed (PEERJ INC, 2023)
    In smart cities, the fast increase in automobiles has caused congestion, pollution, and disruptions in the transportation of commodities. Each year, there are more fatalities and cases of permanent impairment due to everyday ...
  • Neural Cryptography with Fog Computing Network for Health Monitoring Using IoMT 
    Ravikumar, G.; Kandasamy, Venkatachalam; AlZain, Mohammed A.; Masud, Mehedi; Abouhawwash, Mohamed (TECH SCIENCE PRESS, 2023)
    Sleep apnea syndrome (SAS) is a breathing disorder while a person is asleep. The traditional method for examining SAS is Polysomnography (PSG). The standard procedure of PSG requires complete overnight observation in a ...
  • Novel Dynamic Scaling Algorithm for Energy Efficient Cloud Computing 
    Kumar, M. Vinoth; Kandasamy, Venkatachalam; Masud, Mehedi; Abouhawwash, Mohamed (TECH SCIENCE PRESS, 2022)
    Huge data processing applications are stored efficiently using cloud computing platform. Few technologies like edge computing, Internet of Things (IoT) model helps cloud computing framework for executing data with less ...
  • A novel firefly algorithm approach for efficient feature selection with COVID-19 dataset 
    Bacanin, Nebojsa; Kandasamy, Venkatachalam; Bezdan, Timea; Zivkovic, Miodrag; Abouhawwash, Mohamed (ELSEVIER, 2023)
    Feature selection is one of the most important challenges in machine learning and data science. This process is usually performed in the data preprocessing phase, where the data is transformed to a proper format for further ...
  • Proof of Activity Protocol for IoMT Data Security 
    Rajadevi, R.; Kandasamy, Venkatachalam; Masud, Mehedi; AlZain, Mohammed A.; Abouhawwash, Mohamed (TECH SCIENCE PRESS, 2023)
    The Internet of Medical Things (IoMT) is an online device that senses and transmits medical data from users to physicians within a time interval. In, recent years, IoMT has rapidly grown in the medical field to provide ...
  • Quasi-reflection learning arithmetic optimization algorithm firefly search for feature selection 
    Bacanin, Nebojsa; Budimirovic, Nebojsa; Kandasamy, Venkatachalam; Jassim, Hothefa Shaker; Zivkovic, Miodrag; Askar, S. S; Abouhawwash, Mohamed (ELSEVIER SCI LTD, 2023)
    With the whirlwind evolution of technology, the quantity of stored data within datasets is rapidly expanding. As a result, extracting crucial and relevant information from said datasets is a gruelling task. Feature selection ...
  • Shrinkage Linear with Quadratic Gaussian Discriminant Analysis for Big Data Classification 
    Latha, R. S.; Kandasamy, Venkatachalam; Al-Amri, Jehad F.; Abouhawwash, Mohamed (2022)
    Generation of massive data is increasing in big data industries due tothe evolution of modern technologies. The big data industries include data sourcefrom sensors, Internet of Things, digital and social media. In particular, ...

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