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17 results for “Dropout”
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Review ArticleOpen accessEvery word in the titleGirl-Pupil School Dropouts in Secondary Education in Masvingo District, Zimbabwe: Influencing Factors and EffectsTafadzwa Clementine Maramura, David MagoLiteracy levels in Zimbabwe are at an average of ninety two percent, which is amongst the highest in Africa. Despite significant levels of transformation in the education system, which has seen skyrocketing literacy rates, secondary education still lacks transformation of other structures that have a direct impact on the rate of girl child secondary school dropouts. Through purposive sampling and … …Journal of Social Sciences, Vol. 13, Issue 1 · 16 Mar 2017 · 9,120 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA MIXTURE DROPOUT MECHANISM IN A LONGITUDINAL STUDY WITH TWO TIME POINTS: A METHADONE STUDYZohreh Toghrayee, Parvin Jalili, Heng Chin Low, Ardavan TaghvaOne of the most important issues that confront statisticians in longitudinal studies is dropouts. A variety of reasons may lead to withdrawal from a study and produce two different missingness mechanisms, namely, missing at random and non-ignorable dropouts. Nevertheless, none of these mechanisms is tenable in most studies. In addition, it may be that not all of dropouts are nonignorable. … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 26 Apr 2014 · 6,724 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleACCESS TO AND DROPOUT OF GIRLS FROM SCHOOL: A QUANTITATIVE ANALYSIS OF THE EFFECTS OF MARRIAGE ARRANGEMENTS ON GIRL-CHILD EDUCATION IN BOLNIMatthew Gmalifo Mabefam, Kofi Ohene-KonaduThe education of the girl-child has suffered many setbacks both in the past and at the present. As a result some girls are denied access while others are forced to drop out-of-school especially in rural Ghana. This study therefore examined the effects of marriage arrangements on girl-child education in Bolni, a rural community in the Nanumba North District of the … …Journal of Social Sciences, Vol. 9, Issue 3 · 5 Nov 2013 · 8,490 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Learning Perspective on Assessing and Elevating Engineering Student’s PerformanceKandula Neha, Ram KumarIn addressing the need for successful frameworks to break down understudy execution, this study presents a profound learning-based approach for thorough understudy execution examination inside instructive establishments. The framework intends to evaluate understudies' presentation levels and distinguish those qualified for positions, needing extra help, or in danger of exiting. Utilizing a Long Momentary Memory (LSTM) model, a sort of intermittent … …Journal of Computer Science, Vol. 20, Issue 11 · 21 Sep 2024 · 4,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in IndonesiaBhustomy Hakim, Fergie Joanda Kaunang, Yemima Monica Geasela, Regina HillaryTraffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study aims to develop an intelligent traffic light system that dynamically adjusts sequencing based on real-time road conditions. A dataset of 902 CCTV images was collected from intersections in six large cities across Indonesia, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractCapsule Defect Detection and Classification Using Enhanced MobileNet ModelWenqing Bian, Yongzhi Huang, Baolian Shan, Yanting ChangThe quality of capsules has a direct impact on human health. However, defects inevitably arise during the capsule manufacturing process, and manual sorting is required. Most studies on capsule defects focus on detecting surface imperfections and those on internal capsule defects remain relatively limited. This study classifies four types of capsules using the deep learning model MobileNet, aiming to accurately … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 5 Nov 2024 · 5,203 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CNN-KNN Based Recognition of Online Handwritten Symbols within Physics Expressions Using Contour-Based Bounding Box (CBBS) Segmentation TechniqueUjwala Kolte, Sachin Naik, Vidya KumbharArtieres, T., Marukatat, S., & Gallinari, P. (2007). Online Handwritten Shape Recognition Using Segmental Hidden Markov Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(2), 205–217. https://doi.org/10.1109/tpami.2007.38 Baró, A., Riba, P., Calvo-Zaragoza, J., & Fornés, A. (2019). From Optical Music Recognition to Handwritten Music Recognition: A baseline. Pattern Recognition Letters, 123, 1–8. https://doi.org/10.1016/j.patrec.2019.02.029 Bresler, M., Prua, D., & Hlavác, … …Journal of Computer Science, Vol. 20, Issue 7 · 7 May 2024 · 6,278 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review Regarding the Prediction of Academic PerformancePercy De-La-Cruz, Rommel Rojas-Coaquira, Hugo Vega-Huerta et al.The prediction of students' academic performance is an area of great concern for universities and educational institutions since academic performance is one of the most important aspects of the learning process. To analyze this behavior, this study makes a critical analysis of the topic of interest and aims to review, analyze and summarize the latest research advances related to the … …Journal of Computer Science, Vol. 18, Issue 12 · 23 Dec 2022 · 8,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractEmail Spam Classification Using Gated Recurrent Unit and Long Short-Term MemoryIqbal Basyar, Adiwijaya, Danang Triantoro MurdiansyahHigh numbers of spam emails have led to an increase in email triage, causing losses amounting to USD 355 million per year. One way to reduce this loss is to classify spam email into categories including fraud or promotions made by unwanted parties. The initial development of spam email classification was based on simple methods such as word filters. Now, … …Journal of Computer Science, Vol. 16, Issue 4 · 3 Apr 2020 · 8,323 accessesView PDFCite