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Research ArticleOpen accessEvery word in the titleMinimising Energy Consumption in WSN-IoT Networks by Focusing on Quality of ServiceAnuradha, Tarun Gulati, Rajbhupinder Kaur et al.IoT networks are low-powered networks and resource allocation and efficient utilization are critical concerns. Network resources are allocated to the intermediate nodes to perform the various operations (sense, transmit, re-transmit, data aggregation, etc.). These operations are managed by the different layers (M.A.C., routing and PHY). Each layer consumes resources W.R.T. their operations and there is a need to manage the … …Journal of Computer Science, Vol. 20, Issue 10 · 13 Aug 2024 · 4,984 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeatures of the Security System Development of a Computer Telecommunication NetworkLeonid Chervyakov, Tagirbek Aslanov, Dmitry Polezhaev, Viktor LysenkoGlobal computer networks have enabled ordinary users, companies, organizations and medical institutions to gain virtually unlimited access to data arrays. Therefore, developing systems capable of ensuring the good performance and secure operation of a standard Computer Telecommunication Network (CTN) has become one of the most pressing tasks demanded in the medical industry. Consequently, this study aims to create an ordered … …Journal of Computer Science, Vol. 20, Issue 9 · 20 Jun 2024 · 4,729 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleClassification of Thoracic X-Ray Images of COVID-19 Patients Using the Convolutional Neutral Network (CNN) MethodRamacos Fardela, Dian Milvita, Mawanda Almuhayar et al.Recently, radiology modalities have been widely used to detect COVID-19. Thoracic X-rays and CT scans are the primary radiological tools utilized in the diagnosis and treatment of individuals with COVID-19. In addition, chest CT scans are more accurate and sensitive in early COVID-19 identification. A new problem arises in diagnosing the results of CT scan images of COVID-19 by radiologists … …Journal of Computer Science, Vol. 20, Issue 4 · 1 Feb 2024 · 5,761 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCluster Based Architecture for Cognitive Radio NetworkManoj Ramachandran, Harish Sheeranalli Venkatarama, Sandesh HebbarCatastrophic events like flood often result in the derangement of the communication networks. The consequences include difficulty in locating the survivors of the disaster. The purpose of this paper is to give an insight to the design and development of a Cognitive Radio Network that can be used as an immediate remedy communication network which can help in such situations. … …Journal of Computer Science, Vol. 15, Issue 1 · 12 Dec 2018 · 7,720 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Deep Convolutional Neural Wavelet Network for Classification of Medical ImagesRamzi Ben Ali, Ridha Ejbali, Mourad ZaiedThis work present a new solution for medical image classification using the Neural Network (NN) and Wavelet Network (WN) based on the Fast Wavelet Transform (FWT) and the Adaboost algorithm. This method is divided in two stages: The learning stage and the classification stage. The first consists to extract the features using the FWT based on the MultiResolution Analysis (MRA). … …Journal of Computer Science, Vol. 14, Issue 11 · 11 Nov 2018 · 7,627 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleInter Cluster Group Management in Wireless Sensor NetworksR. Rohini, Adamu Murtala Zungeru, S. Ravi, Dasari Narasimha RaoWireless Sensor Networks (WSNs), an emerging large-scale network system can be embedded for any application. The designers of wireless sensor network have to consider the quality of service agreements from a user perspective. The WSN is very rapid in dynamic changing topology and has less energy, computing and communication resources. The network design has to fulfill the QoS parameters like … …Journal of Computer Science, Vol. 14, Issue 4 · 19 Apr 2018 · 7,997 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleElectrical Load Forecasting Using Artificial Neural Network: The Case Study of the Grid Inter-Connected Network of Benin Electricity Community (CEB)Adekunlé Akim Salami, Ayité Sénah Akoda Ajavon, Koffi A. Dotche, Koffi-Sa BedjaThe low rate of electrification seems challenging in many West African countries and many strategies are underway to improve upon. In this regard, the target of achieving the universal access and services calls for a stable and reliable electrical network. Forecasting of electrical load on a connected grid network is very delicate and requires tremendous task from the utilities (billing … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 11 Apr 2018 · 9,149 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMathematical Model of the Relationship between BGP Convergence Delay and Network TopologiesYahia Hasan JazyahBGP is a distant vector inters Autonomous System (AS) routing protocol that comes up after EGP to eliminate the inefficiency of EGP with respect to flexibility and scalability and to give support of an actual routing protocol. BGP handles the scalability problem using Classless Inter-Domain Routing (CIDR) and solves the inefficiency of EGP by accumulating all the possible route information … …Journal of Computer Science, Vol. 14, Issue 1 · 1 Jan 2018 · 9,254 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Evaluation of Deep Learning Networks on Printed Odia CharactersSanjibani Sudha Pattanayak, Sateesh Kumar Pradhan, Ramesh Chandra MalikDeep machine learning includes a series of layers to mimic the working of the human brain for taking a decision. Deep learning networks have shown good results in character recognition in the past. This paper evaluates the performance of different deep learning networks like Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) based recurrent neural network and Convolutional LSTM on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 6,791 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleDetection of Phishing Websites Hosted in Name Server Flux Networks Using Machine LearningThomas NagunwaAttackers are increasingly using Name Server IP Flux Networks (NSIFNs) to run the domain name services of their phishing websites in order to extend the duration of their phishing operations. These networks host a name server that manages the Domain Name System (DNS) records of the websites on a network of compromised machines with frequently changing IP addresses. As a … …Journal of Computer Science, Vol. 20, Issue 1 · 12 Dec 2023 · 5,602 accessesView PDFCite