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69 articles for “Learning Outcomes”
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Research ArticleOpen accessIn the abstractEnhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet FrameworkDhason Lita Pansy, Malaichamy MuraliThe precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting diseases that primarily manifest symptoms in plant leaves has conventionally depended on visual inspection by plant pathologists. However, modern methodologies use machine learning and computer vision techniques to facilitate disease identification, thus addressing … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 8,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmotion Recognition from Microblog Managing Emoticon with Text and Classifying using 1D CNNMd. Ahsan Habib, M. A. H. Akhand, Md. Abdus Samad KamalMicroblog, an online-based broadcast medium, is a widely used forum for people to share their thoughts and opinions. Recently, Emotion Recognition (ER) from microblogs is an inspiring research topic in diverse areas. In the machine learning domain, automatic emotion recognition from microblogs is a challenging task, especially, for better outcomes considering diverse content. Emoticon becomes very common in the text … …Journal of Computer Science, Vol. 18, Issue 12 · 7 Dec 2022 · 6,921 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassifications of Skull Fractures using CT Scan Images via CNN with Lazy Learning ApproachMd Moniruzzaman Emon, Tareque Rahman Ornob, Moqsadur RahmanClassification of skull fracture is a challenging task for both radiologists and researchers. Skull fractures result in broken pieces of bone, which can cut into the brain and cause bleeding and other injury types. So it is vital to detect and classify the fracture very early. In real world, often fractures occur at multiple sites. This makes it harder to … …Journal of Computer Science, Vol. 18, Issue 3 · 15 Mar 2022 · 9,005 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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 accessIn the abstractSocial Media-Facilitated Programming: An ARG Model for Collaborative ProgrammingAhmad Al-Jarrah, Abdel Karim Baareh, Ahmad Smadi, Roba JabaliInternet-based tools and social media are greatly developed in the tech world. Today, technology is widely accepted and used by all generations. These tools are great and very useful for students in terms of learning, collaboration and information sharing. We aim to present a model for learning programming in social learning environments with the context of the Affinity Research Group … …Journal of Computer Science, Vol. 17, Issue 4 · 15 Apr 2021 · 7,017 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment and Assessment of the English Grammar Asynchronous Online Learning Module before Being Applied in Real LessonAnthony Anggrawan, Christofer SatriaCurrently the orientation of higher education in Indonesia has shifted to online-based education. Unfortunately not all universities are ready to implement asynchronous online teaching. The question is whether the developed asynchronous online teaching module can meet the desired quality qualifications. Therefore the objective of this study is to conduct an assessment of the asynchronous online learning module before it is … …Journal of Computer Science, Vol. 16, Issue 11 · 7 Nov 2020 · 7,290 accessesView PDFCite
Research ArticleOpen accessIn the abstractLooking Inside and Outside the System: Examining the Factors Influencing Distance Learners Satisfaction in Learning Management SystemIbrahim Almarashdeh, Mutasem Khalil Alsmadi, Ghaith Jaradat et al.In the last few years, the use of educational technology, particularly the concept of Learning Management System (LMS), has increased rapidly. With this fast development, the question arises as how to manage the LMS to obtain success and efficiency in online courses. One of the important factors that have received many citations in literature studies (and has a special position … …Journal of Computer Science, Vol. 14, Issue 4 · 5 Apr 2018 · 9,170 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Support and Resistance Indicators for Stock Market with Fibonacci Sequence in Long Short-Term MemoryThambusamy Velmurugan, Thiruvalluvan IndhumathyPredictive data analytics is a branch of data analytics where models are designed that effectively interpret; anticipate outcomes by analyzing present data to make predictions about future. One of the major attributes for prediction is time and there have been a considerable number of time series analytical models that are used for forecasting. Long Short-Term Memory (LSTM) is a deep … …Journal of Computer Science, Vol. 16, Issue 10 · 28 Oct 2020 · 7,316 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Study on E-Learning versus Traditional Learning among Electronics Engineering StudentsWai Kit Wong, Poh Kiat NgIn academia, it appears that many lecturers are still contented in using traditional lecturing methods. Cultivating the use of e-learning requires proper understanding of its difference with traditional learning. In this study, the difference between e-learning with traditional learning was descriptively and empirically investigated, with an emphasis on a module in Electronics Engineering known as Fundamentals of Operational Amplifier. This … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 27 Jun 2016 · 8,265 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Unbelief Thinking among Muslim Youth in MalaysiaNorsaleha Mohd. Salleh, Ahmad Munawar Ismail, Noor Hafizah Mohd. Haridi et al.The unbelief thinking is a term that refers to the absence of adherence to religion in the context of free lifestyle practice which is centred on human rights and it also includes an understanding that is rooted in humanism, secularism, pluralism and liberalism. In relation to this, a research was conducted to identify the level of unbelief thinking among Muslim … …American Journal of Applied Sciences, Vol. 13, Issue 2 · 2 Feb 2016 · 8,101 accessesView PDFCite