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2,402 articles for “CLA”

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Research ArticleOpen accessEvery word in the titleA Weighted Voting Deep Learning Approach for Plant Disease ClassificationAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabPlant destruction is usually caused by plant diseases. Without early and reliable detection, it can affect the plants and may eventually cause permanent losses, especially for inexperienced farmers. Therefore, intelligence in agriculture is becoming more and more required. Thereafter early diagnosis and classification are crucial and a very challenging research field in the agriculture sector for its treatment. In this … …Journal of Computer Science, Vol. 17, Issue 12 · 16 Dec 2021 · 6,557 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Handling of Medical Data Classification in Cloud-Edge Network using Optimization AlgorithmS. S. Saranya, N. Sabiyath FatimaNowadays, a cloud-edge computing framework with IoT offers different medicinal facilities by classifying a massive amount of patients’ health data through a Deep Neural Network. But, how to optimize task scheduling while carrying multiple tasks from multiple edge devices in real-time was still challenging. This article introduces a cooperative cloud-edge computing structure to effectively perform the fuzzy DNN classification into … …Journal of Computer Science, Vol. 17, Issue 11 · 30 Nov 2021 · 6,480 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleUse of Response Surface Methodology for Optimization of Nickel Adsorption in an Aqueous Solution by ClayNesrine Turki, Nesrine Boujelben, Zaineb Bakari, Jalel BouzidIn this study, Scanning Electron Microscopy (SEM), X-ray diffraction and BET surface area (SBET) methods were employed to characterize the adsorbent. Response Surface Methodology (RSM) was consider as a good method to assess Ni adsorption treatment and Box-Behnken design was used to examine simultaneous the effects of different experimental variables (pH, adsorbent dosage, contact time). Experimental results showed high adsorption … …American Journal of Environmental Sciences, Vol. 17, Issue 5 · 24 Nov 2021 · 6,292 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Model of Bidirectional Long-Short Term Memory and CNN for Multivariate Time Series Classification of Remote Sensing DataSawsan Morkos GharghoryClassification of multivariate time series has got massive attention in the last decade. The traditional modeling classifiers are complicated patterns and are incompetent to capture the dependencies of multivariate time series data. To include both of the effective features and the embedded relationships in the multivariate time series, a new hybrid model which incorporates both Convolutional Neural Network (CNN) and … …Journal of Computer Science, Vol. 17, Issue 9 · 29 Sep 2021 · 6,686 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSoft Marking Scheme of SVM Hierarchical Classifiers for Attack ClassificationAzizi Abdullah, Warhamni Jani@MokhtarClassification is a predictive modelling problem that involves assigning a class label to an instance correctly. There exist several strategies in machine learning to deal with the multi-class classification problems for attack detection. One of the popular strategies is the one-vs-one that decomposes the multi-class problem into multiple binary ones. The approach has been applied in many popular supervised learning … …Journal of Computer Science, Vol. 17, Issue 9 · 27 Sep 2021 · 6,000 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMachine Learning and Deep Learning for Phishing Email Classification using One-Hot EncodingSikha Bagui, Debarghya Nandi, Subhash Bagui, Robert Jamie WhiteRepresentation of text is a significant task in Natural Language Processing (NLP) and in recent years Deep Learning (DL) and Machine Learning (ML) have been widely used in various NLP tasks like topic classification, sentiment analysis and language translation. Until very recently, little work has been devoted to semantic analysis in phishing detection or phishing email detection. The novelty of … …Journal of Computer Science, Vol. 17, Issue 7 · 23 Jul 2021 · 10,936 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRestricted Boltzmann Machines for Fundus Image Reconstruction and Classification of Hypertension RetinopathyBambang Krismono Triwijoyo, Boy Subirosa Sabarguna, Widodo Budiharto, Edi AbdurachmanConventionally classification of hypertensive retinopathy through analysis of fundus images by experts, but this method the results are highly dependent on the accuracy of observations and expert experience. In this study, we propose a fundus image reconstruction and Hypertensive retinopathy classification model using Restricted Boltzmann Machines (RBM), as well as the Messidor database that has been labeled as a dataset. … …Journal of Computer Science, Vol. 17, Issue 2 · 26 Feb 2021 · 7,819 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEstόria: A Framework for Code and Execution Reuse between Test ClassesLucas Pereira da Silva, Patrícia VilainManual implementation of test code can lead to maintainability problems such as test code duplication. Strategies to avoid test code duplication and to promote test code reuse exist in the literature. However, it becomes increasingly difficult to apply these strategies as the system evolves and the number of test increases. In this study, we present a novel strategy to reuse … …Journal of Computer Science, Vol. 17, Issue 2 · 11 Feb 2021 · 7,019 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIsolation and Identification of a Bioflocculant-Producing Strain and Application in Rice Vinegar ClarificationWeilian Hu, Dehui DaiA bioflocculant-producing bacterium S-3# was isolated from fresh sand bones 40-50 cm underground in the desert region of China’s Ningxia Province. It was identified as Paenibacillus sp. based on 16S rDNA sequence along with its biochemical and morphological characteristics. Chemical analysis found that the bioflocculant from S-3# is mainly composed of extracellular polysaccharide. Researchers observed no noticeable change (above 91%) … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 4 · 30 Dec 2020 · 5,924 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePhonocardiogram Classification Based on Machine Learning with Multiple Sound FeaturesKhalid M.O. Nahar, Obaida M. Al-Hazaimeh, Ashraf Abu-Ein, Nasr GharaibehIn this study the heartbeat sound signals were tackled by classifying them into heart disease categories such as normal, artifact, murmur and extrahals in an attempt for early detection of heart defects. Phonocardiogram (i.e., PCG) is used to obtain the digital recording dataset of the heart sounds using an electronic stethoscope or mobile device. Multiple features are extracted from the … …Journal of Computer Science, Vol. 16, Issue 11 · 26 Nov 2020 · 8,259 accessesView PDFCite