156 articles for “learning object”

Research ArticleOpen accessIn the abstractComputational Complexity between K-Means and K-Medoids Clustering Algorithms for Normal and Uniform Distributions of Data PointsT. Velmurugan, T. SanthanamProblem statement: Clustering is one of the most important research areas in the field of data mining. Clustering means creating groups of objects based on their features in such a way that the objects belonging to the same groups are similar and those belonging to different groups are dissimilar. Clustering is an unsupervised learning technique. The main advantage of clustering … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 19,434 accessesView PDF Cite

Research ArticleOpen accessIn the abstractManagers Empowering EmployeesJ.D. Tony CarterProblem statement: This article looked at the behavior of organizations as an important factor for empowering employees. This allowed for a greater level of partnering between managers and employees. The more that top management wants an internal commitment from its employees, the more it must involve employees in defining work objectives, specifying how to achieve them and setting stretch targets. … …American Journal of Economics and Business Administration, Vol. 1, Issue 2 · 30 Jun 2009 · 8,532 accessesView PDF Cite

Research ArticleOpen accessIn the abstractReorganization of Agricultural Extension toward Green AgricultureMohammad S. AllahyariProblem statement: Considering unsustainable agricultural conditions of Iran and organizational recession and inability of current extension organization to achieve sustainability, it seems that extension systems require a new organizational structure to achieve sustainability objectives. The purpose of the present study was to identify the most appropriate characteristics for extension organization toward green agriculture in Iran context. Approach: To fulfill this … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 2 · 30 Jun 2009 · 8,879 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSocial Capital Concerning a Conservation of Sweet Wild Trees (Phak Whanpa) in a Northeastern Thailand CommunityPhiphaporn Ravipolsadtanan, Worapol Aengwanich, Prasopsuk LittidetProblem statement: Thai people favored to eat Sweet Wild Trees (Phak Whan Pa). The wild trees naturally grew quite slowly in the forests. Their leaves, eaten as vegetables, could not meet market demand nationwide. Seedling was difficult and people were not interested in planting them. Support from government and/or public sectors was slow. Those were the causes for shortages of … …Journal of Social Sciences, Vol. 5, Issue 1 · 31 Mar 2009 · 7,794 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThe Use of Neural Network to Recognize the Parts of the Computer MotherboardAbbas M. Ali, S. D. Gore, Musaab AL-SarierahThis study suggests a new approach of learning which utilizes the techniques of computer vision to recognize the parts inside the motherboard. The main thrust is to identify different parts of the motherboard using a Hopfield Neural Network. The outcome of the net is compared with the objects stored in the database. The proposed scheme is implemented using bottom -up … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 6,865 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordA Printed Arabic Optical Character Recognition System using Deep LearningSalah AlghyalineRecognizingArabic script is challenging for many reasons: The Arabic language is cursiveand morphologically rich. There is a high similarity between Arabic letters.Moreover, Arabic has many diacritics and dots, and they change the letter'sphonetic transcription. This study proposes a Printed Arabic Optical CharacterRecognition approach (PAOCR) based on the state-of-the-art You Only Look Once(YOLO) object detector. Four techniques were proposed and implemented … …Journal of Computer Science, Vol. 18, Issue 11 · 2 Nov 2022 · 7,619 accessesView PDF Cite

Review ArticleOpen accessAll words, across the recordComparative Analysis of Classical Feature Detection Methods for UAV-Based Tomato DetectionMuhammad Sarwar Jahan Morshed, Md. Nasim Adnan, Md. Rafiqul IslamRemote sensing technologies, especially Unmanned Aerial Vehicles (UAVs), become crucial for Precision Agriculture (PA) to perform different tasks such as crop detection, yield prediction, leaf disease diagnosis, weed detection, and harvest forecasting to ensure higher productivity. Therefore, using various image analytics methods feature detection from the UAV-captured images plays a vital role for conducting these PA tasks. To enhance the … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,404 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordEarly Detection and Classification Approach for Plant Diseases based on MultiScale Image DecompositionAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabThis paper presents a new and powerful approach for detecting and classifying leaf diseases for plant diagnosis with high accuracy. The main contribution of this paper is that a hybrid approach is proposed by using the combination of Partial Differential Equations (PDE) based image decomposition, segmentation, feature extraction, features selection and classification aiming to improve the classification accuracy and provide … …Journal of Computer Science, Vol. 17, Issue 3 · 25 Mar 2021 · 7,205 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordComparative Study of BERT Based Architectures for Multi Task News Classification and Threat DetectionA. Mustain Billah, Sani M IsaWe present a comparative analysis of single-task and multi-task BERT-based models for Indonesian news classification across two objectives: category prediction (five classes) and threat detection (binary). Using 8,951 annotated news titles, single-task baselines achieved weighted F1 scores of 0.84±0.01 (category) and 0.87±0.00 (threat). Multi-task hybrids integrating CNN, LSTM, and Bi-LSTM layers performed comparably overall and improved minority class threat detection, … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,124 accessesView PDF Cite

Research ArticleOpen accessAll words, across the recordAutomated Medical Image Captioning with Soft Attention-Based LSTM Model Utilizing YOLOv4 AlgorithmPaspula Ravinder, Saravanan SrinivasanThe medical image captioning field is one of theprominent fields nowadays. The interpretation and captioning of medical imagescan be a time-consuming and costly process, often requiring expert support. Thegrowing volume of medical images makes it challenging for radiologists tohandle their workload alone. However, addressing the issues of high cost andtime can be achieved by automating the process of medical image … …Journal of Computer Science, Vol. 20, Issue 1 · 16 Dec 2023 · 6,651 accessesView PDF Cite