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Research ArticleOpen accessIn the abstractA Conceptual Framework for Efficient and Sustainable Pruning Techniques in Deep Learning ModelsNyalalani Smarts, Rajalakshm Selvaraj, Venumadhav KuthadiThis research paper proposes a conceptual framework and optimization algorithm for pruning techniques in deep learning models, its focus is on key challenges such as model size, computational efficiency, inference speed and sustainable technology development. The aim of the framework is to transition from large neural networks to sparse, efficient models, indicating the benefits of pruning in improving model scalability … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 5,268 accessesView PDFCite
Research ArticleOpen accessIn the abstractInteractivity in VR Therapy: Assessing Efficacy Across Acrophobia SeverityChiew Mei Chan, Soo See Chai, Kok Luong Goh, Sze Kiat SimVirtual Reality (VR) and Artificial Intelligence (AI) have gained popularity in medical treatments, including for acrophobia- a common but often untreated fear of heights. Traditional therapies are often expensive and complex, making VR therapy a convenient and safe alternative. This study evaluates the efficacy of an AI-augmented interactivity VR therapy for acrophobia, focusing on user satisfaction and treatment outcomes. Graded … …Journal of Computer Science, Vol. 21, Issue 5 · 16 Apr 2025 · 5,864 accessesView PDFCite
Research ArticleOpen accessIn the abstractVirtual Learning System with Artificial Intelligence for the Academic Management ProcessLuis Lopez-Zevallos, Evellyn Navarro-Prado, Michael Cabanillas-CarbonellThe impact of the COVID-19 pandemic on global education, with the massive closure of schools and universities. It highlights the challenge of adapting to distance learning modalities and the loss of students' knowledge. In this context, the use of Artificial Intelligence (AI) has become a promising alternative to improve distance education; it is presented as a solution to automate administrative … …Journal of Computer Science, Vol. 21, Issue 4 · 6 Mar 2025 · 5,366 accessesView PDFCite
Research ArticleOpen accessIn the abstractFedLoBA-1: A Load Balancing Architecture for Mitigating Resource Overloading in Federated Cloud InfrastructuresDamola Gideon Akinola, Emmanuel Adetiba et al.In a subscription-based service such as cloud computing, clients have scheduled access to shared resources such as data, software, storage, and other assets as needed. Despite several benefits, cloud computing still faces significant difficulties. Load balancing, which is the capacity of the cloud infrastructure to equally distribute tasks among the resources in the cloud environment has significant issues. Cloud federation … …Journal of Computer Science, Vol. 21, Issue 2 · 23 Jan 2025 · 6,326 accessesView PDFCite
Research ArticleOpen accessIn the abstractFusing CNN Models for Improved Parkinson’s Disease Detection from Handwritten FeaturesSabrina Benredjem, Tahar MekhazniaNeurodegenerative Diseases (NGD) are a group of progressive neurological disorders, including cognitive decline as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) that result in the progressive loss of neuronal structure or function. This can lead to a variety of symptoms, in this study we are interested in PD one of the neurological diseases that causes the loss of dopamine-producing neurons … …Journal of Computer Science, Vol. 21, Issue 2 · 22 Jan 2025 · 6,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Innovative Method for Recognizing Face Expressions Based on Genetic Algorithm and Extreme Learning Based Hybrid ModelTushar Dhar Shukla, Md Oqail Ahmad, Puneet Sapra et al.The detection of facial action coding system Action Units (AU) and other facial expressions has been a major focus of computer science for more than 20 years categorizing discrete emotional states based on facial expressions. While several widely used face expression databases exist, standardization and comparability remain key challenges. The lack of a universally recognized assessment procedure and insufficient information … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating the Usability of Model Transformations Testing Approach (MTTA)Lukman Ab. Rahim, Ziyaulhaq Aliyu, Emy E. MustaphaModel Transformation (MT) is a key component in Model Driven Development (MDD). Model transformation is used to transform source model into a target model, improve the model quality and also introduce the design pattern and refactoring. Model transformation are not free from bugs similar to other software development artifacts and it needs to be verified. Code Generators (CG) are a … …Journal of Computer Science, Vol. 13, Issue 1 · 6 Mar 2017 · 7,675 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Air-Written Real-Time Multilingual Numeral String Recognition System Using Deep Convolutional Neural NetworksMeenal Jabde, Chandrashekhar Himmatrao Patil, Amol D. Vibhute, Shankar MaliAir-writing is a modern practice for free-space writing of characters or words with hand or finger movements. In the new era, hand gestures are commonly used for Human-Computer Interaction (HCI) or controlling machines in several applications. Writing with a finger or holding any object in hand and 3-D movement in the air is helpful for several applications. However, it is … …Journal of Computer Science, Vol. 20, Issue 12 · 8 Nov 2024 · 5,248 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved SVM with Hyperparameter Tuning for Fake News DetectionAtcharaporn Nachaithong, Kittipol WisaengIn today’s digital age, accessing information has become effortless. An abundance of resources is available online, from trustworthy news outlets providing factual information to unverified opinions shared by anonymous individuals. With the advent of modern technology, social media platforms have revolutionized interaction and staying informed, providing instant access to news and information related to a wide range of topics. They … …Journal of Computer Science, Vol. 20, Issue 10 · 28 Aug 2024 · 5,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Garbage Classification Using Balanced and Unbalanced Dataset with EfficientNetV2B1 ArchitectureRetinderdeep Singh, Chander Prabha, Ayman Noor et al.This research concentrates on EfficientNetV2B1 deep learning model to classify garbage collection tasks, with both balanced and unbalanced dataset configurations. The dataset includes 7,260 images for the balanced dataset and 15,515 for the unbalanced one, both of the datasets are used to train and evaluate the model. Training and evaluation of the deep learning model with the standard performance variables: … …Journal of Computer Science, Vol. 20, Issue 10 · 27 Aug 2024 · 5,091 accessesView PDFCite