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Research ArticleOpen accessIn the keywordsOptimized Fractal Fusion Driven Deep Neural Network: An Efficient Hybrid Methodology for Disease Detection and Classification in Plant LeavesDeepkiran Munjal, Mrinal Pandey, Laxman SinghPlant diseases and pest attacks are among the major issues in agriculture, which have a great impact on crop growth and yield. Early and correct detection of these diseases is vital for effective management and keeping plant health at the desired level. This research proposes a new method for detection and classification of plant diseases, the Optimized Fractional Fusion Deep … …Journal of Computer Science, Vol. 21, Issue 12 · 8 Jan 2026 · 2,223 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA REVIEW: INDUSTRIAL CONTROL SYSTEM (ICS) AND THEIR SECUITY ISSUESA. Shahzad, S. Musa, A. Aborujilah, M. IrfanIndustrial Control System (ICS) has been designed for critical infrastructure sectors and 90% of these systems are property/owaned and operated by private organizations. Industrial Control System (ICS) were designed to fulfill the basic requirements included system performance and reliability and other basic needs, related with real time transmission, without interlinking with networks (public/private) or/and internet connectivity. In this research, detail … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 24 Jun 2014 · 6,825 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTest Anxiety and Foreign Language Reading Anxiety in a Reading-Proficiency TestYa-Chin Tsai, Yi-Chih LiProblem statement: The impact of foreign-language anxiety has been researched with respect to the reading domain; however, how it affects reading proficiency in relation to test anxiety in a test situation is yet to be explored. Approach: This study investigated possible relationships between test anxiety, foreign language reading anxiety and English reading proficiency by using scales published in previous studies. … …Journal of Social Sciences, Vol. 8, Issue 1 · 8 Feb 2012 · 15,184 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIdentification of Electrooculography Signals Frequency Energy Distribution Using Wavelet AlgorithmW.M. Bukhari, W. Daud, Rubita Sudirman, Camallil OmarProblem statement: The time frequency analysis of non-stationary signals has been the considerable research effort in recent years. Wavelet transform is one of the favored tool for the analyzing the biomedical signals. Approach: We describe the identification of Electro-Oculograph (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. The capability of … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 8,551 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffect of Data Processing on Data QualityA. R. SamihProblem statement: Great attention had been paid on spatial data quality by the scientific community. This was due to the negative impact that a poor spatial data quality had on the competitiveness of an organization. On other hand, we can never obtain good quality data from a poor quality data. In this study, we demonstrate the effects of the different … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,269 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Compressing Ultrasonic Data Algorithm Based on WaveletsMounir Hergli, Jamel Baili, Faouzi Bouslama, Kamel BesbesIn this paper, we propose a novel and effective algorithm for compressing large volumes of data recorded in underwater applications, using a laboratory designed experimental setup. This data represents samples of ultrasonic signals acquired at different geometric positions of a water tank. The proposed algorithm was based on Wavelets and consists of two processing phases including a prefiltering stage using … …American Journal of Applied Sciences, Vol. 2, Issue 12 · 31 Dec 2005 · 7,000 accessesView PDFCite
Research ArticleOpen accessIn the abstractMANAT: A Filtering-Based Method for Denoising Nonuniform Photogrammetric Point CloudsYun Sin Chong, Hui Hui Wang, Yin Chai WangThree-dimensional point clouds reconstructed from photogrammetry often exhibit noise and non-uniform sampling density, which challenges existing denoising methods that rely on precise normal estimation or extensive parameter tuning. This study presents the Multi Attribute Neighbour Attraction Technique (MANAT), a novel single-stage, density-adaptive filtering method that jointly leverages spatial position, surface normals, and color as inherent photogrammetric attributes for unified noise … …Journal of Computer Science, Vol. 22, Issue 4 · 28 Apr 2026 · 1,524 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping an Effective Churn Prediction Model for Telecommunications: Enhancing Customer Retention through Advanced Machine Learning TechniquesAshu Goyal, Anuj Gupta, Sharad Kumar et al.Customer churn poses a significant challenge for the telecommunications sector, resulting in substantial revenue losses and increased customer acquisition costs. This research creates an efficient churn prediction model that combines state-of-the-art machine learning with ensemble learning to maximize customer retention. With the IBM Telco Customer Churn dataset, several baseline models, including Gradient Boosting, AdaBoost, Logistic Regression, Random Forest, and Support … …Journal of Computer Science, Vol. 22, Issue 1 · 3 Feb 2026 · 3,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Weathering Layer Characteristics over OPL-135 in the Western Part of the Niger Delta Basin, South-South, NigeriaOkechukwu Frank Adizua, Adekunle Oyemade Sofolabo, Olomu Ivory Obi-EgbediAn up-hole seismic refraction survey was carried out in OPL-135 in the Western part of the Niger Delta Basin, (SS) Nigeria. A total of thirty seven (37) up-hole locations in a (4.0×3.750) km grid configuration were drilled and logged over the prospect. The focal objective for the study was to assess the weathering layer characteristics over the prospect, specifically, to … …Current Research in Geoscience, Vol. 11, Issue 1 · 3 Feb 2021 · 11,449 accessesView PDFCite