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  • Open Access

    ARTICLE

    Grid Search for Predicting Coronary Heart Disease by Tuning Hyper-Parameters

    S. Prabu1,*, B. Thiyaneswaran2, M. Sujatha3, C. Nalini4, Sujatha Rajkumar5

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 737-749, 2022, DOI:10.32604/csse.2022.022739 - 20 April 2022

    Abstract Diagnosing the cardiovascular disease is one of the biggest medical difficulties in recent years. Coronary cardiovascular (CHD) is a kind of heart and blood vascular disease. Predicting this sort of cardiac illness leads to more precise decisions for cardiac disorders. Implementing Grid Search Optimization (GSO) machine training models is therefore a useful way to forecast the sickness as soon as possible. The state-of-the-art work is the tuning of the hyperparameter together with the selection of the feature by utilizing the model search to minimize the false-negative rate. Three models with a cross-validation approach do the… More >

  • Open Access

    ARTICLE

    Transfer Learning on Deep Neural Networks to Detect Pornography

    Saleh Albahli*

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 701-717, 2022, DOI:10.32604/csse.2022.022723 - 20 April 2022

    Abstract While the internet has a lot of positive impact on society, there are negative components. Accessible to everyone through online platforms, pornography is, inducing psychological and health related issues among people of all ages. While a difficult task, detecting pornography can be the important step in determining the porn and adult content in a video. In this paper, an architecture is proposed which yielded high scores for both training and testing. This dataset was produced from 190 videos, yielding more than 19 h of videos. The main sources for the content were from YouTube, movies, More >

  • Open Access

    ARTICLE

    Provisioning Intelligent Water Wave Optimization Approach for Underwater Acoustic Wireless Sensor Networks

    M. Manikandan1,*, A. Rajiv Kannan

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 625-641, 2022, DOI:10.32604/csse.2022.022662 - 20 April 2022

    Abstract In the Acoustics channel, it is incredibly challenging to offer data transfer for time-sourced applications in an energy-efficient manner due to higher error rate and propagation delay. Subsequently, conventional re-transmission over any failure generally initiates significantly larger end-to-end delay, and therefore it is not probable for time-based services. Moreover, standard techniques without any re-transmission consume enormous energy. This investigation proposes a novel multi-hop energy-aware transmission-based intelligent water wave optimization strategy. It ensures reduced end-to-end while attaining potential amongst overall energy efficiency end-to-end packet delay. It merges a naturally inspired meta-heuristic approach with multi-hop routing for… More >

  • Open Access

    ARTICLE

    Improved Secure Identification-Based Multilevel Structure of Data Sharing in Cloud Environments

    Saraswathi Shunmuganathan1,*, Sridharan Kannan2, T. V. Madhusudhana Rao3, K. Ambika4, T. Jayasankar5

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 785-801, 2022, DOI:10.32604/csse.2022.022424 - 20 April 2022

    Abstract The Cloud Computing Environment (CCE) developed for using the dynamic cloud is the ability of software and services likely to grow with any business. It has transformed the methodology for storing the enterprise data, accessing the data, and Data Sharing (DS). Big data frame a constant way of uploading and sharing the cloud data in a hierarchical architecture with different kinds of separate privileges to access the data. With the requirement of vast volumes of storage area in the CCEs, capturing a secured data access framework is an important issue. This paper proposes an Improved… More >

  • Open Access

    ARTICLE

    Fingerprint Agreement Using Enhanced Kerberos Authentication Protocol on M-Health

    A. S. Anakath1,*, S. Ambika2, S. Rajakumar3, R. Kannadasan4, K. S. Sendhil Kumar5

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 833-847, 2022, DOI:10.32604/csse.2022.022329 - 20 April 2022

    Abstract Cloud computing becomes an important application development platform for processing user data with high security. Service providers are accustomed to providing storage centers outside the trusted location preferred by the data owner. Thus, ensuring the security and confidentiality of the data while processing in the centralized network is very difficult. The secured key transmission between the sender and the receiver in the network is a huge challenge in managing most of the sensitive data transmission among the cloud network. Intruders are very active over the network like real authenticated user to hack the personal sensitive… More >

  • Open Access

    ARTICLE

    Design of Hybrid True Random Number Generator for Cryptographic Applications

    S. Nithya Devi1,*, S. Sasipriya2

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 423-437, 2022, DOI:10.32604/csse.2022.022280 - 20 April 2022

    Abstract In real-time applications, unpredictable random numbers play a major role in providing cryptographic and encryption processes. Most of the existing random number generators are embedded with the complex nature of an amplifier, ring oscillators, or comparators. Hence, this research focused more on implementing a Hybrid Nature of a New Random Number Generator. The key objective of the proposed methodology relies on the utilization of True random number generators. The randomness is unpredictable. The additions of programmable delay lines will reduce the processing time and maintain the quality of randomizing. The performance comparisons are carried out More >

  • Open Access

    ARTICLE

    Efficient Energy-Aware Resource Management Model (EEARMM) Based Dynamic VM Migration

    V. Roopa1,*, K. Malarvizhi2, S. Karthik3

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 657-669, 2022, DOI:10.32604/csse.2022.022173 - 20 April 2022

    Abstract In cloud environment, an efficient resource management establishes the allocation of computational resources of cloud service providers to the requests of users for meeting the user’s demands. The proficient resource management and work allocation determines the accomplishment of the cloud infrastructure. However, it is very difficult to persuade the objectives of the Cloud Service Providers (CSPs) and end users in an impulsive cloud domain with random changes of workloads, huge resource availability and complicated service policies to handle them, With that note, this paper attempts to present an Efficient Energy-Aware Resource Management Model (EEARMM) that… More >

  • Open Access

    ARTICLE

    Cognitive Radio Networks Using Intelligent Reflecting Surfaces

    Raed Alhamad*

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 751-765, 2022, DOI:10.32604/csse.2022.021932 - 20 April 2022

    Abstract In this article, we optimize harvesting and sensing duration for Cognitive Radio Networks (CRN) using Intelligent Reflecting Surfaces (IRS). The secondary source harvests energy using the received signal from node A. Then, it performs spectrum sensing to detect Primary Source PS activity. When PS activity is not detected, The Secondary Source SS transmits data to Secondary Destination SD where all reflected signals on IRS are in phase at SD. We show that IRS offers 14, 20, 26, 32, 38, 44, 50 dB enhancement in throughput using M = 8, 16, 32, 64, 128, 256, 512 reflectors with respect to CRN without… More >

  • Open Access

    ARTICLE

    X-ray Image-Based COVID-19 Patient Detection Using Machine Learning-Based Techniques

    Shabana Habib1, Saleh Alyahya2, Aizaz Ahmed3, Muhammad Islam2,*, Sheroz Khan2, Ishrat Khan4, Muhammad Kamil5

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 671-682, 2022, DOI:10.32604/csse.2022.021812 - 20 April 2022

    Abstract In early December 2019, the city of Wuhan, China, reported an outbreak of coronavirus disease (COVID-19), caused by a novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). On January 30, 2020, the World Health Organization (WHO) declared the outbreak a global pandemic crisis. In the face of the COVID-19 pandemic, the most important step has been the effective diagnosis and monitoring of infected patients. Identifying COVID-19 using Machine Learning (ML) technologies can help the health care unit through assistive diagnostic suggestions, which can reduce the health unit's burden to a certain extent. This paper investigates the… More >

  • Open Access

    ARTICLE

    QoS Constrained Network Coding Technique to Data Transmission Using IoT

    A. Sathishkumar1,*, T. Rammohan2, S. Sathish Kumar3, J. Uma3, K. Srujan Raju4, Aarti Sangwan5, M. Sivachitra6, M. Prabu7

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 531-544, 2022, DOI:10.32604/csse.2022.021694 - 20 April 2022

    Abstract The research work presents, constrained network coding technique to ensure the successful data transmission based composite channel cmos technology using dielectric properties. The charge fragmentation and charge splitting are two components of the filtered switch domino (FSD) technique. Further behavior of selected switching is achieved using generator called conditional pulse generator which is employed in Multi Dynamic Node Domino (MDND) technique. Both FSD and MDND technique need wide area compared to existing single node-keeper domino technique. The aim of this research is to minimize dissipation of power and to achieve less consumption of power. The… More >

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