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234 results for “Quality evaluation”
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Research ArticleOpen accessIn the abstractInfluence of Brewing Methods and Saccharomyces Cerevisiae on the Aroma and Quality of Shuanghong Vitis Amurensis WineXiaochun Yu, Jing Xu, Zixuan Wang et al.Blending wines is a useful practice in red wine production, however, it is rarely used in Vitis amurensis wine. In recent years there has been a tendency to seek new products from the blending of wines to achieve greater complexity. The purpose of this study was to improve the aroma composition and complexity of Shuanghong V. amurensis wine, enhance its … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 3 · 29 Sep 2023 · 4,974 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Genetic Potential of Spring Durum Wheat Grain Quality in the North of KazakhstanS. M. Dashkevich, M. U. Utebayev, O. O. Kradetskaya et al.The paper presents information about the cultivation of spring durum wheat in the conditions of Northern Kazakhstan. Methods for assessing the quality of grain and semolina in the breeding process are shown: SDS sedimentation, protein content according to Kjeldahl, content, and index of gluten using the Glutomatic 2200 system, vitreousness, hardness SKCS 4100, content of carotenoid pigments, measurements of the … …OnLine Journal of Biological Sciences, Vol. 22, Issue 3 · 2 Sep 2022 · 6,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractMeasuring Website Quality using Service Quality and User Satisfaction Dimensions: A Conceptual FrameworkMohammed Ali Albalushi, Zanariah Jano, Indra Devi et al.The study aimed to develop a conceptual framework for measuring the website quality of public sector organizations through users' feedback on service quality and satisfaction. The methodology involved a full review of previous studies on website quality service quality user satisfaction and website quality evaluation models. The review highlighted the need for further research to explore public organizations’ website quality … …Journal of Computer Science, Vol. 18, Issue 7 · 29 Jul 2022 · 6,085 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 abstractComparison of Fumigation and Immersion of Essential Oils on Quality and Physiology of Fresh Shiitake Mushrooms (Lentinus edodes)Yanjie Li, Yanxin Wang, Shudong Ding et al.The effects of different essential oils with fumigation or immersion on sensory and physiological quality of fresh shiitake mushrooms were evaluated during the storage. Shiitake mushrooms were treated with essential oils (grapefruit essential oil, rosemary essential oil, cinnamon essential oil) by fumigation and immersion respectively. The surface color, browning degree, sensory evaluation, hardness, soluble protein content, total phenolic content and … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 10 Feb 2022 · 6,055 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-FOM: A Unified Multimodal Deep Learning Framework for Intelligent Pre-Harvest Papaya Classification and Crop ValorisationSovers Singh Bisht, Sanjeev Thakur, Sanjeev PanwarIntelligent pre-harvest crop assessment has become an essential component of precision agriculture, where accurate crop quality evaluation enables informed decision-making and sustainable crop management. However, existing multimodal frameworks often exhibit limited data diversity and insufficient cross-modal semantic interaction, reducing the reliability of intelligent crop valorisation. Address these limitations, this paper proposes a Multimodal Focal-Mamba Optimized Valorisation Model (Multi-FOM), a unified … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 670 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of CTLA-4 Inhibitor Combined with Chemotherapy on Immunoglobulin Levels and General Condition in Breast Cancer PatientsRuiguang CaiThis study conducted an evaluation of the CTLA-4 inhibitor ipilimumab plus standard chemotherapy on immunoglobulin levels, performance status, and Quality of Life (QoL) in patients with stage I-III Breast Cancer (BC) via a randomized controlled trial. 120 patients with stage I-III BC were randomly allocated to the experimental group (chemotherapy + ipilimumab) and the control group (chemotherapy), and the treatment … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 3 Jul 2026 · 1,115 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 · 1,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractSenior Expertise and Peer Consensus: A Comparative Analysis of AI and Clinician Measurements in Multi-Curve Scoliosis AssessmentFrank Ibañez Elijorde, Joselito F. Villaruz, Ma Beth S. Concepcion, Mylo N. SoriasoGiven the scarcity in the literature, this study explored the use of AI for multi-curve scoliosis assessment. Its performance was analyzed through comparison against a group of clinicians composed of one senior and five non-senior orthopedic surgeons. The analysis focused on Cobb angle measurement and identification of vertebral endplates across three curve regions, namely Main Thoracic (MT), Proximal Thoracic (PT), … …Journal of Computer Science, Vol. 22, Issue 3 · 9 Mar 2026 · 1,390 accessesView PDFCite