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447 articles for “Network Research”
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Research ArticleOpen accessAll words, across the recordImage-Based Alzheimer's Disease Detection Using Pretrained Convolutional Neural Network ModelsNasser AlsadhanAlzheimer's disease is an untreatable, progressive brain disorder that slowly robs people of their memory, thinking abilities, and ultimately their capacity to complete even the most basic tasks. Among older adults, it is the most frequent cause of dementia. Although there is presently no treatment for Alzheimer's disease, scientific trials are ongoing to discover drugs to combat the condition. Treatments … …Journal of Computer Science, Vol. 19, Issue 7 · 28 Jun 2023 · 5,918 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEssential Proteins Discovery Methods based on the Protein-Protein Interaction NetworksLingZhi Zhu, Junling Zhang, Lingya He et al.Essential proteins are closely related to biological survival or reproduction and have important application value in respect of the location of disease genes, disease diagnosis and treatment, drug design. In order to discovery essential proteins, the researchers have proposed experimental approaches, but these methods require laborious and time consuming. With the development of high-throughput sequencing techniques, plenty of computational methods … …American Journal of Biochemistry and Biotechnology, Vol. 13, Issue 4 · 1 Jan 2018 · 8,893 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSecurity based Approach of SHA 384 and SHA 512 Algorithms in Cloud EnvironmentThambusamy Velmurugan, Sivakumar KarthigaCloud computing is going to be the next big thing in the era of internet world. As the world moves ahead towards enhancement of the cloud features we also have to take a serious consideration of the enhancing cloud securities to protect the end-user’s data. The major usage of this cloud feature are widely applied in the cloud based IT … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 6,848 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordGoogleNet CNN Neural Network towards Chest CT-Coronavirus Medical Image ClassificationNesreen Alsharman, Ibrahim JawarnehIn the end of the year 2019 and the beginning of the year 2020, the world was overwhelmed by a medical pandemic that was not previously seen which is known Covid-19 (Coronavirus). Coronavirus (CoV) is a large family of viruses that cause illness ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERS-CoV) and … …Journal of Computer Science, Vol. 16, Issue 5 · 14 May 2020 · 9,519 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordSECRET HANDSHAKE ISSUE AND VALIDATE AUTHORITY BASED AUTHENTICATION SYSTEM FOR WIRELESS SENSOR NETWORKKamalanaban Ethala, R. Seshadri, N. G. Renganathan, M. S. SaravananWireless Sensor Networks (WSN) are major research area in the past few decades. WSN is formed by collection of sensor nodes. Power source life and memory size limit the hardware sources and these will decide the lifesapn of sensor nodes in WSN. Therefore, many resources based research issues are evolved in WSN. This study focused security issue and proposed authentication … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,433 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordClassifications of Skull Fractures using CT Scan Images via CNN with Lazy Learning ApproachMd Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur RahmanClassification of skull fracture is a challenging task for both radiologists and researchers. Skull fractures result in broken pieces of bone, which can cut into the brain and cause bleeding and other injury types. So it is vital to detect and classify the fracture very early. In real world, often fractures occur at multiple sites. This makes it harder to … …Journal of Computer Science, Vol. 18, Issue 3 · 15 Mar 2022 · 9,012 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnalysis of Artificial Neural Network Point Forecasting Models and Prediction Intervals for Solar Irradiance EstimationAntônio Fabrício Guimarães de Sousa, Helaine Cristina Moraes Furtado, Wilson Negrão Macêdo, Anderson Alvarenga de Moura MenesesAn accurate knowledge on solar irradiance prediction is particularly required for proper development and planning of Photovoltaic (PV) energy systems. The main purpose of the present research is to assess the accuracy of Artificial Neural Networks (ANN) short-term forecast of univariate solar irradiance time series, with conventional point prediction and Prediction Intervals (PIs), comparing models. The Lower Upper Bound Estimation … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 3 · 17 Jul 2020 · 7,443 accessesView PDFCite
Review ArticleOpen accessAll words, across the recordSmart Agriculture: The Future of Agriculture using AI and IoTSapna Katiyar, Artika FarhanaAgriculture sector contributing a significant share in World economy and in more than nine counties agronomy is the leading segment. Population is rising immensely therefore quality and quantity of food demand increases enormously. Agriculture segment is providing employment prospects to large population as well. Conventional farming styles used by farmers are not competent to fulfil the enlarged demand. To meet … …Journal of Computer Science, Vol. 17, Issue 10 · 8 Nov 2021 · 10,410 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordASYNCHRONOUS TIME ENCODER BASED QUASI-STATIC MODELLING FOR HUMAN AREA NETWORK IN VANETR. Vimal Karthick, G. S. Raj, R. Srinivasan et al.Power constraints play a key role in designing Human Area Networks (HANs) for bio authentication vehicle based on driver's identity. To alleviate the power constraints, we advocate a design that uses an asynchronous time encoding mechanisms for representing bio authentication information and the skin surface as the communication channel. Time encoding does not require a clock while allows perfect signal … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 8,067 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordResearch Proposal: An Intrusion Detection System Alert Reduction and Assessment Framework Based on Data MiningKarim Al-Saedi, Selvakumar Manickam, Sureswaran Ramadass et al.The Intrusion Detection System (IDS) generates huge amounts of alerts that are mostly false positives. The abundance of false positive alerts makes it difficult for the security analyst to identify successful attacks and to take remedial actions. Such alerts to have not been classified in accordance with their degree of threats. They further need to be processed to ascertain the … …Journal of Computer Science, Vol. 9, Issue 4 · 8 May 2013 · 7,712 accessesView PDFCite