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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 · 7,451 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Growth of Awareness and Introspection in History. Mystical Interpretations of Mental Activities and of Social or Physical IncidentsGeorg W. Oesterdiekhoff, Jörn Rüsen, Helmut SpinnerHistorians, philologists and scholars of antiquity have described how people in pre-modern societies tend to see their own thought processes, decisions and actions as being influenced and made by external forces. It was recognized early on that this mystical interpretation of actions could be an indication of a different structuring of the archaic psyche. It was claimed that this psyche … …Journal of Social Sciences, Vol. 16, Issue 1 · 5 Aug 2020 · 6,814 accessesView PDFCite
Research ArticleOpen accessIn the abstractConvolution Neural Networks of Dynamically Sized Filters with Modified Stochastic Gradient Descent Optimizer for Sound ClassificationManu Pratap Singh, Pratibha RashmiDeep Neural Networks (DNNs), specifically Convolution Neural Networks (CNNs) are found well suited to address the problem of sound classification due to their ability to capture the pattern of time and frequency domain. Mostly the convolutional neural networks are trained and tested with time-frequency patches of sound samples in the form of 2D pattern vectors. Generally, existing pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 1 · 13 Dec 2023 · 5,786 accessesView PDFCite
Research ArticleOpen accessIn the abstractShelf-Life Prediction of Specialty Coffees using the Arrhenius ModelFrank Fernández Rosillo, María Alina Cueva Ríos, Lenin Quiñones Huatangari, Carla Guianella Samaniego LalanguiThe study estimated the shelf life of roasted and ground specialty coffees in bi-laminated and tri-laminated packaging concerning cup score, using the Acceleration Test at temperatures of 40, 50, and 60°C. The sensory evaluation was carried out by Q Grader tasters. Based on the higher value of the coefficient of determination of the regressions resulting from the cup and temperature … …OnLine Journal of Biological Sciences, Vol. 23, Issue 1 · 23 Dec 2022 · 6,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractThought Stopping Therapy to Anxiety Level on COVID-19 Pandemic ERAShinta Dewi Kasih Bratha, Imron Rosyadi, Dewi Eka PutriCOVID-19 has become a worldwide health pandemic due to the increasing death rate. This causes a variety of responses, one of which looks like anxiety. Thought Stopping becomes one of the therapies that can be done in lowering anxiety. This study aimed to look at the effect of thought-stopping therapy on anxiety levels in the COVID-19 pandemic era. The research … …Neuroscience International, Vol. 12, Issue 1 · 5 May 2021 · 11,732 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeafsnapNet: An Experimentally Evolved Deep Learning Model for Recognition of Plant Species based on Leafsnap Image DatasetEmmanuel Adetiba et al.Plants are very important living organisms on earth because humans and animals depend on them for nutrition, oxygen, medicine and balance in the ecosystem. Therefore, plant species recognition is critical to the improvement of agricultural productivity, mitigation of climate change and the discovery of new medicinal plants. However, species recognition has remained a difficult task even for trained botanists, because … …Journal of Computer Science, Vol. 17, Issue 3 · 1 Apr 2021 · 7,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on Efficiency of Applying Gamified Design into University’s e-Courses: 3D Modeling and ProgrammingAndrija Bernik, Danijel Radošević, Daniel StrmečkiResearch presented in this paper represents a further step towards proving the efficiency of gamification in higher education. Our research was conducted within two higher education institutions and includes full-time and part-time students who enrolled in the courses 3D modeling and Programming. Based on the research results, three hypotheses were tested. These hypotheses give a better insight into some psychological … …Journal of Computer Science, Vol. 13, Issue 12 · 11 Dec 2017 · 8,336 accessesView PDFCite
Research ArticleOpen accessIn the abstractTwo-Stage Estimation in Inverse Problems using Combined Wavelet Thresholding and Penalized Maximum LikelihoodRobert G Aykroyd, Hassan AljohaniInverse problems occur in a wide range of practical scientific investigations where the variables of interest are only observed indirectly, such as magnetic and seismic imaging in geophysics, electrical tomography in industrial process monitoring, or PET scanning in medicine. Linear inverse problems can be thought of as highly multivariate regression problems with strong multicollinearity where the aim is to interpret … …Journal of Mathematics and Statistics, Vol. 13, Issue 3 · 29 Sep 2017 · 7,928 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudy of Modified Oral Minimal Model using n-Order Decay Rate of Plasma Insulin for the Oral Glucose Tolerance Test in Subjects with Normal, Impaired and Diabetic Glucose ToleranceAgus Kartono, Egha Sabila Putri, Ardian Arif Setiawan et al.In this present study, the modified Oral Minimal Model (OMM), with secretion of insulin from pancreas was assumed that the insulin decay rate was not always a first-orderly process in the Oral Glucose Tolerance Test (OGTT), had been developed to study Normal Glucose Tolerance (NGT), Impaired Glucose Tolerance (IGT or pre-diabetes) and type 2 Diabetes Mellitus (T2DM) subjects. The modified … …American Journal of Applied Sciences, Vol. 14, Issue 4 · 25 Apr 2017 · 7,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractDataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf RecognitionAvuya Deyi, Arnaud Nguembang Fadja, Eleonora Deborah Goosen et al.Since several active pharmaceutical ingredients are sourced from medicinal plants, identifying and classifying these plants are generally a valuable and essential task during the drug manufacturing process. For many years, identifying and classifying those plants have been exclusively done by experts in the domain, such as botanists and herbarium curators. Recently, powerful computer vision technologies, using deep learning or deep … …Journal of Computer Science, Vol. 19, Issue 11 · 17 Oct 2023 · 6,231 accessesView PDFCite