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70 results for “testing and evaluation”
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Research ArticleOpen accessIn the abstractA Convolutional Neural Network Approach for Skin Lesion Classification Using Imbalanced Dataset with Image AugmentationZhyar Yassin Abdalla, Nor Hazlyna Harun, Mohammed Shihab AhmedA significant threat to people's health all over the world is skin cancer. The purpose of this research is to improve the detection of skin cancer by utilizing a CNN classification model that makes use of preprocessing and augmentation techniques. The HAM10000 dataset is used, and the imbalance it contains is addressed by resizing the images to 120×120 pixels and … …Journal of Computer Science, Vol. 20, Issue 11 · 10 Sep 2024 · 5,427 accessesView PDFCite
Research ArticleOpen accessIn the abstractMRI Observation and Analysis of Muscle Activity During ExerciseLi-Chang Zou, Hong-Wu LiWhile conventional biomechanical testing techniques are able to determine the mechanical characteristics of muscle tissue, they do not offer precise insight into how muscle metabolism and microstructure change in response to various types of exercise activities over the course of time. Using Magnetic Resonance Imaging (MRI) analysis of muscle tissue allows researchers to examine how different levels of intensity affect … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 30 Jul 2026 · 1,025 accessesView PDFCite
Review ArticleOpen accessIn the abstractEvaluating Common Reconnaissance Tools and Techniques for Information GatheringIsaac Odun-Ayo, Emmanuel Owoka, Otavie Okuoyo et al.A reconnaissance attack is a commonly overlooked step in penetration testing but a critical step that could help increase the effectiveness of an attack on a target. However, it is a common attack faced by companies and institutions, among others. It enables the attacker or penetration tester to gain valuable information on the target and select the best tools and … …Journal of Computer Science, Vol. 18, Issue 2 · 16 Mar 2022 · 7,805 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Waste Height and Weight Monitoring SystemTedi Gunawan, Elis Hernawati, Bayu Rima AdityaOver the past decade, the use of smart waste monitoring systems has become a popular way of waste management. This system generally makes it easier for scavengers and household users to monitor the status of the level of waste in the trash. This study aims to create an innovative IoT-based intelligent waste monitoring system to facilitate waste monitoring for households. … …Journal of Computer Science, Vol. 17, Issue 11 · 29 Nov 2021 · 9,374 accessesView PDFCite
Research ArticleOpen accessIn the abstractGlass Strength for Impact and Blast LoadingMatthias Förch, Frank WellershoffGlass strength is highly influenced by strain rate. This material behaviour is well known in structural glass design and implemented in various standards. The strength of architectural glass is determined by component tests with a defined strain rate of 2 N/(mm2s), providing favourable terms for testing. As typical effects of actions on facades result in lower or higher strain rates, … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 7 May 2021 · 8,115 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 869 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating Barriers to the Adoption of Augmented Reality-based Applications in Education System: DEMATEL ApproachMonika Nijhawan, Nidhi Sindhwani, Sarvesh Tanwar, Shishir KumarAugmented Reality (AR) is an emerging technology that enhances user perception by overlaying virtual information onto the physical world. In educational contexts, AR integration has demonstrated potential to improve learning engagement, motivation, and conceptual understanding among students. However, teachers face numerous challenges when incorporating AR technologies into classroom instruction, including technical difficulties stemming from inadequate training, resistance to technology adoption, … …Journal of Computer Science, Vol. 21, Issue 10 · 17 Dec 2025 · 2,413 accessesView PDFCite
Research ArticleOpen accessIn the abstractA GUI-Enabled, Automated LSTM-Based Inverse Kinematics Pipeline for 6-DOF Robotic Arms Using MATLAB and CoppeliaSimWaleed Abdulrahman Saleh Al-Akwa, Mohammed Abdulwahab Ahmed DabaExisting deep learning-based inverse kinematics (IK) solutions often target specific robotic arms and require significant modifications when applied to different configurations. To support early-phase design and testing of 6-degree-of-freedom (6-DOF) robotic arms, this study presents a fast and adaptable IK solution through a user-friendly interface. Unlike traditional numerical methods that are computationally intensive, sensitive to initial conditions, and may not … …Journal of Mechatronics and Robotics, Vol. 9, Issue 1 · 26 May 2025 · 8,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombining Model-Based Testing and Failure Modes and Effects Analysis for Test Case Prioritization: A Software Testing ApproachAtifi Meriem, Marzak AbdelazizDue to The complexity of modern software projects and the increasing size of software systems, it becomes difficult to manually perform tests with limited resources. Also, manual testing cannot assure that the software is tested using all possible combinations of inputs. Therefore, automate software testing activities have become primordial in the Software Development Life Cycle (SDLC). Model-based testing is a … …Journal of Computer Science, Vol. 15, Issue 4 · 4 Apr 2019 · 8,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractStock Closing Price Forecasting Using LSTM, Sentiment Analysis, Kalman FilterAssel Abdildayeva, Galymzhan Nurtugan, Guldana Taganova, Ardak AkhmetovaThe article explores the problem of predicting the closing prices of stocks using an innovative approach that combines methods of machine learning, sentiment analysis and noise filtering. The focus is on the development and testing of a comprehensive model that integrates recurrent neural networks (LSTM) for time series analysis, the GPT-3 language model for processing and analyzing textual data from … …Journal of Computer Science, Vol. 20, Issue 11 · 4 Sep 2024 · 6,262 accessesView PDFCite