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Research ArticleOpen accessIn the abstractArm Movement RecorderJakkrapun Chuanasa, Szathys SongschonProblem statement: Human arm movement is widely studied nowadays. Some movements of arm are performed frequently in everyday life. Devices that can record the path of movement are important in studying human arm gesture. Approach: This project was performed the five degree-of-freedom exoskeleton that was designed and constructed to observe position and orientation values of various movement in x-y-z coordinates … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 7,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Measurement of Copper (II) Ion Adsorption in Activated Carbon Fixed Bed ColumnsTanokkorn Banjonglaiad, Eric Croiset, Peter Silveston et al.Dynamic experiments were carried out on the adsorption of copper (II) ions in a laboratory packed bed of activated carbon. Both pulse and step change inputs were used. Measurements were reproducible and replicate measurements furnished nearly identical parameters for a heterogeneous model of the activated carbon bed assuming Langmuir adsorption isotherm. The initial concentration of copper (II) ion was 3 … …American Journal of Environmental Sciences, Vol. 4, Issue 4 · 31 Aug 2008 · 6,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Sucrose in the Development of Oral Biofilm in a Simulated Mouth SystemWan Nordini Hasnor Wan Ismail, Fathilah Abdul Razak, Zubaidah Hj Abdul RahimThe development of oral biofilm consisting of early settlers and late settlers in the presence and absence of sucrose using a simulated mouth model was investigated. The experiments were carried out by growing the early settlers’ biofilm consisting of Strep. mitis and Strep. sanguinis and late settlers’ biofilm of Strep. mutans in the simulated mouth system. Experiments using three different … …OnLine Journal of Biological Sciences, Vol. 6, Issue 2 · 31 Dec 2006 · 7,114 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 1: First Steps for SGAMRChiara Bedon, Mario D’Aniello, Flavio StochinoSummer 2017 is approaching when the International Journal of Structural Glass and Advanced Materials Research starts to walk and the “Volume 1” contains its first outcomes (Bedon et al., 2017). It is worth of interest that the attention of the contributors is on glass…. but not only,… and this represents a promising step for the journal growth and evolution. In … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 28 Aug 2020 · 6,331 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuVashantor: English to Bangla Machine Translation SystemsMahjabeen Akter, M. Shahidur Rahman, Muhammed Zafar Iqbal, Mohammad Reza SelimThis paper presents the system description of Machine Translation (MT) systems for English-Bangla language pair. Our goal was to create two benchmark MT systems that produce a better quality translation and comparatively higher evaluation score than existing MT systems for English to Bangla. In our experiments, we implemented two baseline MT systems using both statistical and neural methods for the … …Journal of Computer Science, Vol. 16, Issue 8 · 16 Aug 2020 · 7,445 accessesView PDFCite
Research ArticleOpen accessIn the abstractInputs of Numerical Simulation into the Development of Shock Adhesion Tests on Advanced MaterialsMichel ArrigoniAdvanced materials- such as assemblies, composites and materials obtained by additive methods - have met a great success in the industry of advanced technologies. They allow combining a variety of different materials and following sophisticated geometries. However, their mechanical behavior, bulk as well as in assembly, remains to be better understood to assess their reliability. For this reason, laser induced … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 10 Jan 2020 · 6,871 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Crop Yield Detection and Prediction With Multimodal Data Using Fusion TechniquesKutlwano Sedimo, Rajalakshmi Selveraj, Venumadhav Kuthadi, Thulaganyo DimakatsoMost often, soil, environmental, and agronomic data are used in pieces, hence limiting the performance of crop selection and yield forecasting. This study develops an integrated, fusion-based framework that combines soil image classification, environmental feature analysis, and input-driven yield prediction to support precise agricultural decision-making. The system consists of three major modules: (i) a CNN for the classification of soil … …Journal of Computer Science, Vol. 22, Issue 10 · 5 Oct 2026 · 481 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite
Research ArticleOpen accessIn the abstractUMPM-Net: A Multimodal Deep Learning Framework for Colorectal Cancer PrognosisK. Muthuchamy, S K. Piramu PreethikaColorectal cancer (CRC) is one of the most common cancers worldwide, for which early prediction of patient outcomes is important for personalised treatment planning and to improve survival. However, current prediction systems are limited in the fact that they are based on single-modality data and cannot capture the complex interactions between clinical, imaging, and genomic factors. To overcome these shortcomings, … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 613 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop Disease Detection via an Improved Residual NetworkGuolin Chen, Weifeng Liu, Xinyu Zou, Xiaoxia LiDeep learning has shown substantial potential across many domains, and crop disease detection is no exception. This study investigates the application of deep learning to crop disease detection, systematically evaluating the performance of convolutional neural networks of different depths. Building on the classical ResNet-50 as the base model, we introduce a Squeeze-and-Excitation (SE) attention mechanism to enhance feature extraction. The … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 31 Jul 2026 · 898 accessesView PDFCite