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695 articles for “Suitable”
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Research ArticleOpen accessIn the abstractSuitability Evaluation of Groundwater for Irrigation, Drinking and Industrial PurposesM. A. Hakim, A. S. Juraimi, M. Begum et al.Problem statement: Groundwater is an important source of freshwater for agricultural, drinking and domestic uses in many regions of the world including Bangladesh. Demand of groundwater has been increasing day by day for irrigation by bringing more area under cultivation. As a drinking water the bottled water market currently has an average annual growth rate of 7.4% between 2002 and … …American Journal of Environmental Sciences, Vol. 5, Issue 3 · 30 Jun 2009 · 8,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractSynthesis and Characterization of Gold Nanoparticles by TryptophaneAzim Akbarzadeh, Davood Zare, Ali Farhangi et al.Problem statement: Preparation and synthesis of gold nanoparticles with small size and suitable stability is very important and applicable particularly in medicine. In this study, we have prepared gold nanoparticles by chemical reduction method employing L-Tryptophane as a reducing agent for ionic gold. Approach: The gold nanoparticles are the most employed amongst the different metallic nanoparticles in the fields of … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 10,046 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation, Selection and Assessment of Guidelines for Chemical Stabilization of Tropical Residual SoilsBujang B.K. Huat, Asmidar Alias, Azlan Abdul AzizSoil stabilization has been widely used as an alternative to substitute the lacking of suitable materials on site. Guidelines and standards have been developed to assist practitioners in designing structures such as road by mean of stabilization. This paper presents the results of an investigation aimed at evaluating and assessing the suitable guidelines for the stabilization of tropical residual soils. … …American Journal of Environmental Sciences, Vol. 4, Issue 4 · 31 Aug 2008 · 7,652 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Organizing Map and Multi-Layer Perceptron Neural Network Based Data Mining To Envisage Agriculture CultivationE. T. Venkatesh, Dr. P. ThangarajStudy on characteristics of soil, to determine the types of crops suitable for cultivation in a particular region can increase the yield to greater extent, which minimizes the expenditures involved in irrigation and application of fertilizers. With the tested techniques available for calibrating the quality of soil and the crops suitable for cultivation in it, it is possible to determine … …Journal of Computer Science, Vol. 4, Issue 6 · 30 Jun 2008 · 6,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractTranslation Quality Assessment of Online Translation Systems in Translating English to Thai on Phuket TourismKitsiri Chochiang, Thanakrit Thongkhamdee, Lalita SathansatThis research aims to compare four English-to-Thai translator applications on translating the comments posted on social media. Four translator applications include Google Translate, Baidu Translate, Yandex.Translate and Microsoft/Bing Translate. The comments in this study are on three main popular attractions in Phuket, Thailand. The attractions include a temple (Wat Chalong), a viewpoint spot (Promthep Cape) and a beach (Patong beach). … …Journal of Computer Science, Vol. 16, Issue 11 · 10 Nov 2020 · 7,498 accessesView PDFCite
Research NotesOpen accessIn the abstractMetadata Stewardship and Quality in Telecom SectorBhola Gan Chaudhuri, Shalli RaniThe spread of the telecom network infrastructure, constellations of satellites and the use of the Internet of Things (IoT) have brought about unprecedented volumes of heterogeneous information which facilitate the contemporary monitoring systems of the environment and the earth. Metadata control and information quality have also become significant in the telecom industry in controlling data reliably, enhancing data services, and … …Journal of Computer Science, Vol. 22, Issue 10 · 22 Oct 2026 · 335 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Machine Learning Framework for Strategic Gameplay Optimization in Scrabble Using Reinforcement LearningMohd Kaleem, Kanta Prasad Sharma, Tapsi Nagpal et al.This paper explores and compare various artificial intelligence-based techniques used for playing classic board game Scrabble. As the world is evolving around finding quick and efficient techniques for the solution of each problem using Machine learning, gaming industry is also a flourishing industry and has grown 9.8% compared to previous year and has generated a revenue of 26.14 billion dollars … …Journal of Computer Science, Vol. 22, Issue 9 · 22 Sep 2026 · 666 accessesView PDFCite
Research ArticleOpen accessIn the abstractAgronomic and Fibre Quality Assessment of Cotton Breeding Lines Under Verticillium Wilt ConditionsSabir Makhmadjanov, Amandyk Kostakov, Bakdaulet Asabaev et al.The aim of the study was to identify promising cotton samples with high yield, adaptability, and stable fibre quality. The present work presents the results of a comprehensive assessment of 91 breeding samples of cotton according to economically valuable and technological traits under the conditions of southern Kazakhstan and Uzbekistan in 2024. The comparative analysis identified several promising samples, with … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 15 Sep 2026 · 656 accessesView PDFCite
Research ArticleOpen accessIn the abstractLightweight Deep Learning Model for TFT-LCD Pixel Defect Detection Using MobileNetV2J. Sheikshabjan, K. Dhanakodi, A.T. Rajamanickam et al.The proposed methodology aims to achieve high classification accuracy while maintaining computational efficiency and minimizing inference latency, making it highly suitable for real-time industrial inspection scenarios. This study evaluated five traditional transfer learning models (VGG16, ResNet50, MobileNetV2, Xception, and InceptionV3) for comparison in pixel defect detection. MobileNetV2-based implementation demonstrated a competitive average test accuracy of 0.9916, outperforming several baselines while … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 673 accessesView PDFCite