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162 results for “conventional technique”
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Research ArticleOpen accessIn the keywordsGC-MS Analysis and PLS-DA Validation of the Trimethyl Silyl-Derivatization TechniquesKamalrul Azlan Azizan, Syarul Nataqain Baharum, Habtom W. Ressom, Normah Mohd. NoorProblem statement: Comparison and validation analysis of the conventional and power-adjusted Microwave-Assisted (MA) techniques of TMS derivatization using Gas Chromatography-Mass Spectrometry (GC-MS) and Multivariate Analysis (MVA) of Partial Least Squares Analysis (PLS-DA). Further improvement of the conventional technique using vigorous shaking was tested and analyzed. Approach: Cross-validation and response permutation test of PLS-DA and S-plot of Orthogonal Partial Least Squares … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 4 Jun 2012 · 10,320 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHigh Saturation Induction for Bi-Substituted Yttrium Iron Garnet Prepared Via Sol Gel TechniqueNoorhana Yahya, Goh Kah HeanY3.0-xBixFe5O12 samples (x = 0.2 and 0.4) were prepared via novel sol-gel and conventional solid-state techniques. The effect of bismuth in both techniques was investigated in terms of shrinkage, density, hysteresis and initial permeability. Sharp and clear diffraction XRD lines with highest peak appear at about 32° of the 2θ¸, for all the powders sintered at 900°C and 1250°C for … …American Journal of Applied Sciences, Vol. 4, Issue 2 · 28 Feb 2007 · 7,594 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Hybrid Spectrum Sensing Method Using TCDT and IEDT for Cognitive RadioNeha Chaudhary, Rashima Mahajan, Richa Adlakha et al.The development of efficient spectrum sensing techniques has witnessed progressive growth for optimum utilization of spectrum resources in cognitive radio. The primary objective of spectrum sensing is the identification and proper utilization of the spectrum holes. Nowadays, due to the advancement of wireless technologies, the demand for spectrum is also increasing and thus in turn, the requirement for better spectrum … …Journal of Computer Science, Vol. 20, Issue 11 · 20 Nov 2024 · 4,301 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Software Testing for Test Case Analysis Framework Using ChatGPT with Natural Language Processing and Deep Learning IntegrationAlaa Najmi, Mohamed El-DosukyEffective testing scenarios are necessary to guarantee the dependability and Caliber of software. Conventional techniques for creating these scenarios frequently involve a great deal of manual labor and might not fully cover all software requirements. In order to improve the automation and Caliber of software testing scenario development, this study investigates the combination of Natural Language Processing (NLP) and Deep … …Journal of Computer Science, Vol. 21, Issue 5 · 1 May 2025 · 97,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractUnsupervised Cosegmentation Model based on Saliency Detection and Optimized Hue Saturation Value Features of SuperpixelsRasha Shoitan, Mona M. MoussaSegmenting out the foreground from a single image remains a challenge in computer vision. Image co-segmentation has been used recently to alleviate the single image segmentation by exploiting the information of the common object to be segmented from a group of images having the same object. This research proposes an unsupervised co-segmentation technique based on saliency detection and optimized features … …Journal of Computer Science, Vol. 17, Issue 7 · 3 Aug 2021 · 7,003 accessesView PDFCite
Research ArticleOpen accessIn the abstractCompressive Sensing Theory for Improving the Robustness and the Security of the Discrete Wavelet Transform-Singular Value Decomposition Watermarking SchemeRasha Shoitan, Sawsan Morkos GharghoryDigital watermarking has been suggested as a solution to protect copyright and ownership of digital images. The effective watermarking scheme should satisfy imperceptibility, robustness, capacity and security requirements. In this research, the security issue and the lack of reconstruction quality of the watermark logo of the integration of Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD) and Compressive Sensing (CS) … …Journal of Computer Science, Vol. 17, Issue 4 · 28 Apr 2021 · 6,599 accessesView PDFCite
Research ArticleOpen accessIn the abstractProduction of Al based Composites Reinforced with FeAl Intermetallic Particles by Mechanical AlloyingSergio Rubèn Gonzaga Segura, Arturo Molina Ocampo, Renè Guardián Tapia, Alejandro Sedano AguilarIn this research project, Al matrix composite materials reinforced with 5 and 10 (wt. %) of FeAl intermetallic particles were synthesized by Mechanical Alloying (MA) at a speed of 250 RPM for 2, 5, 10 and 15 h of milling time. The results showed that composite materials can be obtained at low energy conditions with improved dispersion of the reinforcement … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 24 Mar 2021 · 6,886 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuantum-Enhanced IoT-Cloud Security: Integrating SHAP and Variational Quantum ClassifiersVeena Antony, Nainan ThangarasuIn the current Internet era, there are now trillions of gadgets online, and the Internet of Things is becoming a necessary part of daily life. IoT devices are connected, but this also makes them vulnerable to cyberattacks. Cyberattacks targeting Internet of Things (IoT) systems have increased dramatically in both volume and sophistication in the last year. Determining the importance and … …Journal of Computer Science, Vol. 21, Issue 1 · 20 Dec 2024 · 4,951 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 566 accessesView PDFCite