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227 articles for “Extraction process”
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Research ArticleOpen accessIn the abstractEssential Oils from The Dropped Flowers of Camellia japonica: Extraction Optimization, Chemical Profile and Antibacterial PropertyYunqi Kong, Gaochao Wang, Xinyu Wang et al.Camellia japonica is one of the most economically valuable species that can be taxonomically placed in the Theaceae family. Many horticultural varieties of C. japonica have been cultivated as ornamental trees worldwide, owing to their charming flowers. However, young C. japonica flowers usually drop in a “decapitated” form during the peak flowering stage, causing a resource waste. In this study, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 27 Jan 2021 · 6,985 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhale Optimized Deep Generative Adversarial Network Based Alzheimer's Stages Detection Using 3D MRI Brain NeuroimagingR. Sampath, M. BaskarAlzheimer's Disease (AD), a common, chronic neurodegenerative condition, is characterized by the loss of neurons and synapses in the cerebral cortex and specific subcortical regions. According to claims from a recent study, AD has a 20% misdiagnosis rate. Therefore, it is essential to create a useful tool to recognize the stages of AD with a lower prediction error rate to … …Journal of Computer Science, Vol. 19, Issue 8 · 4 Aug 2023 · 5,544 accessesView PDFCite
Research ArticleOpen accessIn the abstractHarmonic Mean Projection Shape Transform for Leaf ClassificationSophia Jamila Zahra, Riza Sulaiman, Seyed M.M. Kahaki, Anton Satria PrabuwonoShape feature extraction has emerged as an important part of computer vision and image processing applications. Identification of shape objects in huge data based on shape similarity still remains a challenging problem due to the similarity of the shapes and existing of classes with similar contour information. This paper presents to investigate the shape analysis for plant leaf classification by … …Journal of Computer Science, Vol. 16, Issue 9 · 13 Sep 2020 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractGender-Based Customer Counting System Using Computer Vision for Retail StoresIntan Sari Areni, Tiwi Nur Safitri, Indrabayu, Anugrayani BustaminThe development of modern retail business is gradually getting faster, increasing the level of competition among retailers. The retailers are changing their business strategies to acquire new customers, maintain customer loyalty and improve customer service. One way to indicate the good market performance of a retail shop is to know the number and details of visitors based on gender. The … …Journal of Computer Science, Vol. 16, Issue 4 · 16 Apr 2020 · 8,394 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Effective and Viable DNA Extraction Protocol for FFPE Tissues and its Effect on Downstream Molecular ApplicationSai Sushmitha Kontham, Charles Emmanuel Jebaraj Walter, Manjula Raju et al.Archival Formalin-Fixed Paraffin-Embedded (FFPE) tissues are a readily available source of DNA for retrospective studies including genetic predisposition. FFPE tissues present significant challenges for extraction of pure genomic DNA in adequate amounts due to the harsh fixation conditions and long-term storage associated with samples. The aim of the study is to propose a simple, in-expensive, viable protocol for the extraction … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 1 · 24 Mar 2020 · 7,374 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU AccelerationToto Haryanto, Adib Pratama, Heru Suhartanto et al.Cancer is one of the leading causes of death in the world. It is the main reason why research in this field becomes challenging. Not only for the pathologist but also from the view of a computer scientist. Hematoxylin and Eosin (H&E) images are the most common modalities used by the pathologist for cancer detection. The status of cancer with … …Journal of Computer Science, Vol. 16, Issue 3 · 5 Mar 2020 · 9,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Warehouse Design to Support Social Media Analysis in a Big Data EnvironmentCarlos Roberto Valêncio, Luis Marcello Moraes Silva, William Tenório et al.The volume of generated and stored data from social media has increased in the last decade. Therefore, analyzing and understanding this kind of data can offer relevant information in different contexts and can assist researchers and companies in the decision-making process. However, the data are scattered in a large volume, come from different sources, with different formats and are rapidly … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 8,223 accessesView PDFCite
Research ArticleOpen accessIn the abstractProfiling the Volatile Compound of Indonesian Rendang Using GC-MS/MS AnalysisDaimon Syukri, Abdi, Tuty Anggraini et al.Rendang is an indigenous food from west Sumatra with a distinct flavor and aroma. Different rendang production methods have an impact on its sensory qualities, including flavor and aroma. Finding the volatile substances that distinguish the aroma of each rendang was the aim of this investigation. In this experiment, five distinct Indonesian rendangs were used. Using the Head Space-Solid Phase … …OnLine Journal of Biological Sciences, Vol. 24, Issue 1 · 13 Nov 2023 · 6,353 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sentiment Analysis Approach for Affective State Recognition With SWISH-Activated DenseNet-169 in Human Event ForecastingKarthik Elangovan, Prabhakaran Paulraj, Dinesh Babu G L et al.Detecting human feelings from images is perhaps one of the most useful and challenging social communication problems in research. Emotion detection-based deep computing outperforms classic image processing techniques. Facial recognition technology has permeated every aspect of our daily lives, from unlocking our phones to getting private file access on our systems. Machine Learning and Deep Learning make it easy to … …Journal of Computer Science, Vol. 22, Issue 8 · 29 Jul 2026 · 1,211 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