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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…This algorithm was compared to co-spectral plot method for labelling clusters the clusters generated in Landsat TM dataset. …”
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Global warming: predicting OPEC carbon dioxide emissions from petroleum consumption using neural network and hybrid cuckoo search algorithm
Published 2015“…Methods/Findings The OPEC CO2 emissions data were collected from the Energy Information Administration. …”
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Gray Level Co-Occurrence Matrix (GLCM) and Gabor Features Based No-Reference Image Quality Assessment for Wood Images
Published 2021“…Therefore, a Gray Level Co- Occurrence Matrix (GLCM) and Gabor features-based NR-IQA, GGNR-IQA algorithm is proposed to evaluate the quality of wood images. …”
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A multi-layer dimension reduction algorithm for text mining of news in forex / Arman Khadjeh Nassirtoussi
Published 2015“…Therefore, this work produces a multi-layer dimension reduction algorithm to respond to this need. The algorithm tackles a different root cause of the problem at each layer. …”
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Survival analysis for the identified cancer gene subtype from the co-clustering algorithm
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Systematic literature review: Trend analysis on the design of lightweight block cipher
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Performance evaluation of direction of arrival (DOA) for linear array antenna design using multiple signal classification (MUSIC) algorithm in variation of displacement vectors and...
Published 2007“…In Smart Antenna system, the intelligence of the system depends on the information collected, processed and implemented through an algorithm i.e. …”
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Feature engineering techniques to classify cause of death from forensic autopsy reports / Ghulam Mujtaba
Published 2018“…Moreover, support vector machines and random forest algorithms outperformed the four other algorithms. The proposed techniques are feasible and practical in determining the CoD from forensic autopsy reports and can assist pathologists to accurately and rapidly determine the CoD from autopsy findings. …”
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Engine fault diagnosis using probabilistic neural network
Published 2021“…A benchmarked engine fault model is developed and simulated in Maltab. The proposed algorithm is designed to detect 9 common engine faults based on the information extracted from exhaust gas, such as hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen (NOx), carbon dioxide (CO2) and dioxygen (O2). …”
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Unlocking the potential of in silico approach in designing antibodies against SARS-CoV-2
Published 2025“…These techniques develop antibodies with great specificity and potency against diseases such as SARS-CoV-2 by using computational tools and algorithms. …”
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Arabic stop words for information retrieval systems
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Genome-wide computational identification of biologically significant cis-regulatory elements and associated transcription factors from rice
Published 2019“…In this study, we tested the applicability of two algorithms developed for other model systems for the identification of biologically significant CREs of co-expressed genes from rice. …”
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Development of interactive application for classification of Artocarpus Species
Published 2020“…The combination of Prewitt algorithm, Canny alogorithm, Gray-Level co-occurrence matrix will be used in SVM. …”
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Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC)
Published 2024“…The algorithm was successfully implemented in MATLAB 2020a, and the classifier was developed in Jupyter Notebook using Python. …”
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A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed
Published 1998“…To conduct the sensitivity analyses, climate and vegetation change scenarios were proposed based on the GCM prediction for this region and information from the literature. The procedure developed in this research is an effective and practical integrated approach to modelling the effects of climate and vegetation changes on the hydrologic response of watershed in this region. …”
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Molecular characterisation of beta thalassaemia in patients from Sabah, Malaysia
Published 2014“…The objective for this study is to characterise the molecular spectrum in Sabah population through β- and α-globin gene genotyping, identifying XmnI Gγ-polymorphism, haplotyping for β-globin gene cluster and to develop an ideal diagnostic algorithm and tools which is suitable for this population. …”
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Overview of biomedical relations extraction using hybrid rule-based approaches.
Published 2013“…There are many variants of these algorithms have been developed but the combination of it has not been verified yet. …”
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