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565 articles for “Data Quality”
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Research ArticleOpen accessIn the abstractUnderwater Fused Image Classification Using Deep Learning Based Resnet and Hybrid PSO + HHO ModelDevika Sarath, M. SucharithaIn image fusion, multiple images are combined into one with minimal distortion and data loss. Image fusion forms a highly configured image with good results. The image fusion technique is employed in various domains, including remote sensing, robotics, medical applications, and underwater image processing. The focus of this study is on a unique underwater image fusion approach that allows for … …Journal of Computer Science, Vol. 19, Issue 4 · 24 Mar 2023 · 5,844 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Assessing Techniques of the Reproductive Performance of BullsGulzat Turysbayeva, Isatay Jakupov, Aisulu Kuzerbayeva, Zhanargul ZharkimbayevaThe sperm quality supplied by producers is an urgent problem in the field of livestock breeding. Therefore, monitoring the health of male producers and sperm quality is of great priority. The study aimed to assess the reproductive performance of bulls using laboratory, clinical, morphological, ultrasound and reflexological techniques. A total of 17 heads of Kazakh-white-headed, Holstein-Frieze and Simmental breeds were … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 1 · 23 Jan 2023 · 5,666 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Mental Health Counseling Conversation Using Natural Language ProcessingSaad Ahmed, Sidrah Khurshid, Muhammad Imran et al.One of the most significant public health challenges of our day is mental illness. Despite the benefits of psychotherapy and counseling, our understanding of conducting effective counseling conversations has been limited due to a lack of high-quality data with labeled results. This research presents a quantitative analysis of relatively good-quality data scraped from an online counseling forum. The dataset comprises … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,857 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Feature Selection Approach for Semi-Supervised Sentiment Analysis of E-Commerce FeedbackAlok Kumar Jena, Kakita Murali Gopal et al.In this globalized world, people prefer to buy products online without any hesitation. Usually, to acquire the quality of the product or brand, they examine the product’s reviews, which is a tedious job to do manually. The wide use of social media also encourages the users, to keep their views on the product in a global platform. By using machine … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,179 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy Clustering Based Method for the Spatio-Temporal Data AnalysisAnahita Zolghadr, Afsaneh JalalianSpatiotemporal data is a type of data that is collected by the sensors. This type of data has two spatial and temporal dimensions. There are many challenges in analyzing spatiotemporal big data. Common evaluation metrics of clustering methods are not appropriate for spatiotemporal data. Previous clustering methods and the conventional evaluation metrics are efficient for data like time series with … …Journal of Computer Science, Vol. 18, Issue 6 · 13 Jun 2022 · 5,638 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Protein Feed Additives on Skin and Fur Quality of American MinkPavel Nikolayevich Abramov, Olga Fedorovna Chernova, Nikolai Aleksandrovich Balakirev et al.The purpose of the research is to study the effect of hydrolysates on the skin and fur quality. To assess morphological parameters of skin, as well as the commercial characteristics of the raw materials obtained, we formed three groups (one control and two experimental) of 3-month-old males (25 animals in each group) and females (50 animals in each group). Control … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 1 · 5 Feb 2022 · 6,507 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Bio-Organic-Mineral Fertilizers on Quality, Yield, and Safety Indicators of Potatoes under Conditions of Akmola RegionAizhan Maratovna Suraganova, Sansyzbay Koyshybayuly Memeshov, Temirzhan Erkasovich Aitbayev et al.This article shows the results of determining the effect of bio-organic-mineral fertilizers on the accumulation of Pb, Cd, As, and Hg and on the quality, yield indicators of potatoes treated by plant development stages. According to the results of laboratory analysis, the qualitative and quantitative content of dry matter, starch, nitrates, vitamin C, lead, cadmium, arsenic, and mercury isolated from … …OnLine Journal of Biological Sciences, Vol. 22, Issue 1 · 21 Jan 2022 · 6,526 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Learning Framework for Classifying and Evaluating Yoga ExercisesMehar Latif Malik, Arun KhoslaYoga is a type of physical activity that combines physical postures with breathing techniques. Cardiovascular disease is the leading cause of illness and mortality. Yoga's potential involvement in cardiac recovery can be incorporated into cardiovascular rehabilitation. Classifying and evaluating yoga exercises using a deep learning framework plays a significant role in postoperative recovery. Home based rehabilitation often suffers from a … …Journal of Computer Science, Vol. 19, Issue 2 · 30 Jan 2023 · 6,091 accessesView PDFCite
Review ArticleOpen accessIn the abstractIntegrating Data Mining Methods Across all Domains of a Smart CityRushit Dave, Nuo Xu, Simon Arneberg et al.As modern cities continue to develop, smart devices are being used to improve citizens’ lives. As these devices become more sophisticated, the amount of information that they collect increases. A Smart City is a city that uses a large amount of generated data to constantly improve the services offered to the people that live there. Data mining techniques can be … …Journal of Computer Science, Vol. 18, Issue 5 · 30 May 2022 · 7,075 accessesView PDFCite