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516 results for “Performance Measure”
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Research ArticleOpen accessIn the abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 933 accessesView PDFCite
Research ArticleOpen accessIn the abstractAbsolute Measures of Interindividual Variation: A Simulation StudyJosé Moral-de la RubiaFour absolute measures and one relative measure of interindividual variability have been defined, together with their point and interval estimation (bootstrap and asymptotic), and an R script has been developed for their computation. However, further simulation studies are required to strengthen their methodological evaluation. This study focused on the three absolute measures with potentially better regularity conditions, Mean Interindividual Differences … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 4 Aug 2026 · 965 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study of Encryption Methods for Cloud Query ProcessingMo’ath Naser Magableh, Basel AlshaikhdeebQuery cloud process is an interested research study that caught many researchers’ attentions. Several studies have presented different types of encryption in order to encrypt the data prior to being migrated over the cloud. However, there is an essential demand to balance between the time consumption and encryption security. This paper presented a comparative study of encryption methods for query … …Journal of Computer Science, Vol. 15, Issue 11 · 6 Nov 2019 · 7,643 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Online Event-Based System for Monitoring and Extracting Infectious Disease-Related InformationMeshrif AlruilyWith the revolution of the internet, online data play a significant role in identifying disease outbreaks. This has led researchers, governments and organizations to pay close attention to such data in order to employ and exploit them in developing event-based systems. This research studies the infectious disease outbreaks domain in the Arabic language. In this paper, the Arabic Surveillance Infectious … …Journal of Computer Science, Vol. 15, Issue 1 · 22 Jan 2019 · 7,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of GPT-4o and Gemini 1.5 Pro in Thai Exam SettingsKasidis Miankamnerd, Taechasith KangkhuntodThis study presents a comparative analysis of two advanced AI models, GPT-4o and Gemini 1.5 Pro, within the context of Thai standardized exams. The selected tests include POSN Biology, POSN Mathematics, A-Level Thai Language, and A-Level Social Studies, chosen based on consultations with educational experts to ensure relevance. Each AI model was tested three times on these exams to ensure … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Dec 2024 · 7,207 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Comparison of Passive Fault Tolerant Control Strategy with PI and Fuzzy Control of Single-Tank Level Process with Sensor and System FaultHimanshukumar R. Patel, Vipul A. ShahFault-Tolerant Control (FTC) strategy has gain maximum attention in recent years in chemical industries due to economical and safety hazards perspective. Targeting at the decreasing control performance of the single-tank level control process under the constraint of system and sensor faults, this article presents model-based Passive Fault-Tolerant Control (PFTC) strategy which are based on conventional and artificial intelligence control. The … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 24 Jun 2019 · 7,606 accessesView PDFCite
Research ArticleOpen accessIn the abstractSchoenberg Logarithmic Image Similarity in Prewitt-Gabor-Zernike DomainAhmed Jebur Ali, Zahir M. Hussain, Mohammed Sahib Mechee, Zainab Ali KhalafThis paper represents a new approach for face recognition that incorporates Prewitt edge detection, Gabor filter and Zernike moments to transform the image into a unified domain. On this joint domain, five distance metrics are constructed using Schoenberg transform for the purpose of defining efficient similarity measures for holistic face recognition. The proposed Schoenberg similarity applies Schoenberg transform to the … …American Journal of Applied Sciences, Vol. 14, Issue 9 · 28 Sep 2017 · 7,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,275 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpacts of the Quota System on Afro-Brazilians/Indigenous Education and Brazil's National InterestClifford Jaylen LouimeDespite Brazil's cultural diversity and the significant presence of Afro-Brazilians and indigenous people, who collectively make up 56% of the population, disparities persist in economic empowerment, political influence, and representation. In response, the Brazilian government enacted the Quota Law in 2012, reserving 50% of admissions slots in federal universities for Afro-Brazilians, indigenous people, and individuals from low-income backgrounds to enhance … …Journal of Social Sciences, Vol. 21, Issue 1 · 24 Nov 2025 · 3,404 accessesView PDFCite