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Research Article

BEST PAPER 2021

Intelligent Big Data Management and Machine Learning Techniques for IoT-Enabled Pervasive Computing


Submission Deadline: 31 July 2021 (closed)

Abstract

This article has no abstract.

Keywords

Intelligent Data Management, Big data, Machine Learning, Internet of Things, Pervasive Computing, Deep Learning, IoT devices issues, Multihoming networking
  • Research Article

    BEST PAPER 2021

    Target Detection Algorithm in Crime Recognition Using Artificial Intelligence

    Abdulsamad A. AL-Marghilani* CMC-Computers, Materials & Continua, Vol.71, No.1, pp. 809-824, 2022, DOI:10.32604/cmc.2022.021185
    Abstract Presently, suspect prediction of crime scenes can be considered as a classification task, which predicts the suspects based on the time, space, and type of crime. Performing digital forensic investigation in a big data environment poses several challenges to the investigational officer. Besides, the facial sketches are widely employed by the law enforcement agencies for assisting the suspect identification of suspects involved in crime scenes. The sketches utilized in the forensic investigations are either drawn by forensic artists or generated through the computer program (composite sketches) based on the verbal explanation given by the eyewitness or victim. Since this suspect… More >

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  • Research Article

    BEST PAPER 2021

    Denoising Medical Images Using Deep Learning in IoT Environment

    Sujeet More1, Jimmy Singla1, Oh-Young Song2,*, Usman Tariq3, Sharaf Malebary4 CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3127-3143, 2021, DOI:10.32604/cmc.2021.018230
    Abstract Medical Resonance Imaging (MRI) is a noninvasive, nonradioactive, and meticulous diagnostic modality capability in the field of medical imaging. However, the efficiency of MR image reconstruction is affected by its bulky image sets and slow process implementation. Therefore, to obtain a high-quality reconstructed image we presented a sparse aware noise removal technique that uses convolution neural network (SANR_CNN) for eliminating noise and improving the MR image reconstruction quality. The proposed noise removal or denoising technique adopts a fast CNN architecture that aids in training larger datasets with improved quality, and SARN algorithm is used for building a dictionary learning technique… More >

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  • Research Article

    BEST PAPER 2021

    A Novel Cultural Crowd Model Toward Cognitive Artificial Intelligence

    Fatmah Abdulrahman Baothman*, Osama Ahmed Abulnaja, Fatima Jafar Muhdher CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3337-3363, 2021, DOI:10.32604/cmc.2021.017637
    Abstract Existing literature shows cultural crowd management has unforeseen issues due to four dynamic elements; time, capacity, speed, and culture. Cross-cultural variations are increasing the complexity level because each mass and event have different characteristics and challenges. However, no prior study has employed the six Hofstede Cultural Dimensions (HCD) for predicting crowd behaviors. This study aims to develop the Cultural Crowd-Artificial Neural Network (CC-ANN) learning model that considers crowd’s HCD to predict their physical (distance and speed) and social (collectivity and cohesion) characteristics. The model was developed towards a cognitive intelligent decision support tool where the predicted characteristics affect the estimated… More >

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  • Research Article

    BEST PAPER 2021

    Decision Making in Internet of Vehicles Using Pervasive Trusted Computing Scheme

    Geetanjali Rathee1, Razi Iqbal2,*, Adel Khelifi3 CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 2755-2769, 2021, DOI:10.32604/cmc.2021.017000
    Abstract Pervasive schemes are the significant techniques that allow intelligent communication among the devices without any human intervention. Recently Internet of Vehicles (IoVs) has been introduced as one of the applications of pervasive computing that addresses the road safety challenges. Vehicles participating within the IoV are embedded with a wide range of sensors which operate in a real time environment to improve the road safety issues. Various mechanisms have been proposed which allow automatic actions based on uncertainty of sensory and managed data. Due to the lack of existing transportation integration schemes, IoV has not been completely explored by business organizations.… More >

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  • Research Article

    BEST PAPER 2021

    Hybrid Metamodeling/Metaheuristic Assisted Multi-Transmitters Placement Planning

    Amir Parnianifard1, Muhammad Saadi2, Manus Pengnoo1, Muhammad Ali Imran3, Sattam Al Otaibi4, Pruk Sasithong1, Pisit Vanichchanunt5, Tuchsanai Polysuwan6, Lunchakorn Wuttisittikulkij1,* CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 569-587, 2021, DOI:10.32604/cmc.2021.015730
    Abstract With every passing day, the demand for data traffic is increasing, and this urges the research community not only to look for an alternating spectrum for communication but also urges radio frequency planners to use the existing spectrum efficiently. Cell sizes are shrinking with every upcoming communication generation, which makes base station placement planning even more complex and cumbersome. In order to make the next-generation cost-effective, it is important to design a network in such a way that it utilizes the minimum number of base stations while ensuring seamless coverage and quality of service. This paper aims at the development… More >

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