Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

35 results for “self-efficiency”
Set a search alert
Research ArticleOpen accessIn the keywordsStudy of Relation of Psychological Factors of Empowerment and EntrepreneurshipMehrdad Goudarzvand CheginiProblem statement: Today, organizations are able to survive that have dynamic requirements and potentials and can make a proper response to changes and equip their human sources to the knowledge and skill of generative entrepreneurship through establishing necessary aspects. The increasing rate of changes in scientific, economic and social areas is one of the most common features of the century. … …American Journal of Economics and Business Administration, Vol. 2, Issue 1 · 31 Mar 2010 · 7,779 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdvanced Energy Efficient Passive Clustering Mobility in Wireless Sensor NetworksAouad Siham, Maach Abdelillah, El Ganami DrissWireless sensor networks have a wide applicability and increase deployment in the near future. In most of those applications, the network is composed of an important number of nodes deployed in an extensive area in which not all nodes are directly connected and based on clustering techniques. The Clustering can considerably reduce transmission overhead during flooding. In fact, by using … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 24 Oct 2013 · 6,756 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring Self-Sovereign Identity Through a Digital Transcript Proof-of-ConceptNaphat Khajohn-Udomrith, Ittipon RassameerojCredential forgery presents a significant threat to the integrity of academic and employment documents. While Self-Sovereign Identity (SSI) and Verifiable Credentials (VC) offer a decentralized alternative, existing solutions often struggle to balance institutional trust with holder privacy. This paper proposes a novel, dual-layered architectural framework for digital transcripts. We implement a strategic bimodal DID approach, utilizing did:web for the issuing … …Journal of Computer Science, Vol. 22, Issue 5 · 21 May 2026 · 1,487 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving SimulationsMaxson Phang, Suryadiputra LiawatimenaPredicting steering angles is a crucial task in autonomous driving, with end-to-end deep learning being a widely used approach. However, such models often suffer from overfitting to learned trajectories, limiting their generalization to new data. To address this, self-supervised contrastive learning is explored as an alternative, allowing models to learn meaningful representations without labeled data. The primary objective is to … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Investigation of Mold Cavity Pressure of Self-Clamping Molds During Solid Tire ManufacturingSadeep Amantha Mawathage, Jayashingha Arachchige Indika Sanjeewa, Nirosh Dilruk JayaweeraThis study investigates the mold cavity pressure in self-clamping molds used for solid tire manufacturing, a sector where Sri Lanka is a leading global supplier. Our research presents a detailed investigation into the mold cavity pressure of self-clamping molds used in solid tire production. By integrating experimental data, the effects of critical parameters such as clamp bolt torque, final tire … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 2 Oct 2025 · 2,963 accessesView PDFCite
Research ArticleOpen accessIn the abstractSEAchain: A Privacy-Preserving Dual-Credential Model on BlockchainS. Balachander, A. MuruganAll facets of daily life are now impacted by transaction data. The complex and heterogeneous network created by millions of users, devices, online services, and applications makes digital identity management more difficult. Users can maintain control over their personal information via distributed identity, a potentially useful model for resolving identity issues. Nevertheless, current state-of-the-art techniques are inappropriate because of persistent … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Antigenic Peptides Using a Multi-Level Transformer Model with Enhanced Feature SelectionAshwini S., Minu R. I., Jeevan KumarThis Antigenic Peptide (APs) prediction is one of the most important roles to improve vaccine design and interpret immune responses. This paper develops a Multi-Level Pooling-based Transformer model, which improves the accuracy and efficiency of predicting T-cell epitopes. The model utilizes peptide sequences from the Immune Epitope Database, employing a refined Kolaskar and Tongaonkar algorithm for feature extraction and a … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,443 accessesView PDFCite
Research ArticleOpen accessIn the abstractRemote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning TechniquesMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariThis study investigates the classification of aerial images depicting transmission towers, forests, farmland, and mountains. To complete the classification job, features are extracted from input photos using a Convolutional Neural Network (CNN) architecture. Then, the images are classified using Softmax. To test the model, we ran it for ten epochs using a batch size of 90, the Adam optimizer, and … …Journal of Computer Science, Vol. 21, Issue 3 · 11 Feb 2025 · 10,117 accessesView PDFCite