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Research ArticleOpen accessEvery word in the titleCredence Aware Data Aggregation for Wireless Sensor NetworksSwathi S, Yogish H K, Deepa Yogish, Asha NTo ensure data's reliability and credibility in Wireless Sensor Networks (WSNs), we provide an effective Credence-aware in-network aggregation design in persistent wireless sensor networks. This approach was motivated by a well-studied reputation and Credence relationships within social sciences. The proposed method uses an efficient CSDA algorithm to get more accurate results in terms of response time, penalty weights, the number … …Journal of Computer Science, Vol. 18, Issue 4 · 27 Apr 2022 · 6,388 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOptimization of Multi-Layer Perceptron Deep Neural Networks using Genetic Algorithms for Hand Gesture RecognitionKhanh Nguyen-Trong, Thi-Thanh-Tan NguyenApplications of wearable sensors for Hand Gesture Recognition (HGR) have been gaining popularity in recent years. Among the proposed methods, deep neural networks with many hidden layers are promising to address the requirements of this wearable activity recognition. They can directly uncover features tied to the dynamics of HGR, from simple motion encoding in lower layers to more complex motion … …Journal of Computer Science, Vol. 18, Issue 2 · 8 Feb 2022 · 7,180 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIdentification of the Presence of the "Swollen Shoot" Disease in Endemic Areas in Côte d'Ivoire Via Convolutional Neural NetworksCoulibaly Mamadou, Silue Kolo, Konan Hyacinthe Kouassi et al.The detection of Swollen Shoot disease and its control is one of the major objectives of research related to sustainable cocoa farming in Côte d'Ivoire. To contain the epidemic, the Cocoa Coffee Council (CCC) in collaboration with the National Agency for Support to Rural Development (ANADER) is responsible for prospecting and delimiting the infected areas as well as for uprooting … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 3 · 1 Oct 2023 · 6,064 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Utilization of Mirroring Servers Using Artificial Neural NetworksRadwan Al-Shalalfa, Hazzaa Alshareef, Azzam Sleit et al.Due to the fact that an enormous amount of data is available to any user on the Internet, this leads to increased requests of Internet users to download or process their data among different servers. In fact, the need for increasing the reliability and performance of such servers has become an importance subject to tackle. Replicating servers is a way … …Journal of Computer Science, Vol. 18, Issue 1 · 2 Feb 2022 · 6,915 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrediction of Data Traffic in Telecom Networks based on Deep Neural NetworksQuang Hung Do, Thi Thanh Hang Doan, Thi Van Anh Nguyen et al.Accurate prediction of data traffic in telecom network is a challenging task for a better network management. It advances dynamic resource allocation and power management. This study employs deep neural networks including Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU) techniques to one-hour-ahead forecast the volume of expected traffic and compares this approach to other methods including Adaptive Neuro-Fuzzy … …Journal of Computer Science, Vol. 16, Issue 9 · 30 Sep 2020 · 8,059 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn On-line Analytical Processing (OLAP) Aggregation Function for Rising Aspects in Collaboration and Social NetworksWaqas Nawaz, Kifayat Ullah Khan, Muhammad Shoaib SiddiquiThe overwhelming usage of social and collaboration networks provides the opportunity to analyze evolution of relationships among individuals, like celebrities or co-authors. Discovering such phenomenon in large complex networks is non-trivial due to their large sizes. In this situation, the aggregation functions used in OLAP, are useful to analyze the summarized data. OLAP has successfully proven its worth on multidimensional … …Journal of Computer Science, Vol. 16, Issue 6 · 10 Jun 2020 · 7,120 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDiagnosis of Hepatitis Disease with Logistic Regression and Artificial Neural NetworksAlaa M. Elsayad, Ahmed M. Nassef, Mujahed Al-DhaifallahHepatitis C refers to the inflammatory state of the liver caused by viruses, bacteria, fungi, and exposure to toxins such as alcohol and self-immunity. The diagnosis requires investigating many laboratory tests and comparing the results to those of the former patients with the same conditions. This study presents the results of our experiments to build a hybrid system that combines … …Journal of Computer Science, Vol. 16, Issue 3 · 27 Mar 2020 · 7,466 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparative Study of Mobility Models for Wireless Sensor NetworksAnas Abu TalebWireless sensor networks consist of hundreds or thousands of small, lightweight and low-powered sensor nodes that are deployed in the area of interest to collect information in an unattended manner. Since sensor nodes have limited battery, many research papers proposed techniques to enhance the performance and lifetime of wireless sensor networks. Using energy rich mobile sink to collect data from … …Journal of Computer Science, Vol. 14, Issue 10 · 10 Oct 2018 · 8,063 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWNBLI - A Multifarious Liability Examination for Wireless Sensor NetworksTamilarasi B., UmaRani R.Wireless communications has completely revolutionized the living environment, just as personal computers forever altered the way of working in the 1980’s and the Internet dramatically changed the obtainment and accessing way of information in the 1990’s. Wireless sensor networks are evolving to a new level. The Failure liability is a very prominent problem in Wireless Sensor Network (WSN) research. Failure … …Journal of Computer Science, Vol. 14, Issue 6 · 8 May 2018 · 7,572 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEmpirical Investigation of TCP Incast Congestion in Wireless Cloud Computing NetworksHamid Sadeq Mahdi Alsultani, Qusay Kanaan, Inteasar Yaseen KhudhairThe promising services offered by cloud computing environments have led to huge amount of data that need to be processed and stored. Wireless cloud networks rely on Transmission Control Protocol/Internet Protocol (TCP/IP) for reliable transfer of data traffic between the cloud end-users and servers and vise-versa. Even though TCP has been successful for several applications, it, however, does not perform … …Journal of Computer Science, Vol. 14, Issue 5 · 3 Mar 2018 · 7,520 accessesView PDFCite