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230 results for “research framework”
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EditorialOpen accessIn the abstractInternational Journal of Structural Glass and Advanced Materials Research: A New Open Platform for Materials ScienceChiara Bedon, Mario D’Aniello, Andreas Luible, Flavio StochinoEditorial The International Journal of Structural Glass and Advanced Materials Research (IJSGAMR) is a new peer-reviewed, open access journal, which covers all aspects of theoretical and practical research of materials science. The journal aims to promote international exchange of knowledge and broad discussion on advancements, outcomes and recent developments in materials research for engineering applications. In the last years, the … …International Journal of Structural Glass and Advanced Materials Research, Vol. 1, Issue 1 · 17 May 2017 · 13,698 accessesView PDFCite
Research ArticleOpen accessIn the abstractMonitoring of the Saiga Population: Balancing Nature and AgricultureZhanbolat Ibraibekov, Saule Atshabarova, Ermek Gabdullin et al.The rapid recovery of the Saiga population (Saiga tatarica) in Kazakhstan represents a significant conservation success; however, it has simultaneously generated complex ecological and socio-economic challenges in steppe ecosystems. This study evaluates the relationships between Saiga population density and pasture ecosystem condition and identifies ecological thresholds relevant to balancing biodiversity conservation and sustainable agricultural land use. The research is based … …OnLine Journal of Biological Sciences, Vol. 26, Issue 4 · 27 Oct 2026 · 50 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Review of Artificial Intelligence and Deep Learning Approaches for Cocoa Pod Disease DetectionHenry Techie-Menson, Michael Asante, Yaw Marfo Missah et al.Cocoa pod diseases destroy an estimated 700,000 metric tons of cocoa annually, threatening 40–50 million smallholder farmers across tropical regions. Accurate field diagnosis remains constrained by symptom similarity, labour-intensive scouting, and limited specialist access in remote communities. This paper presents a PRISMA-guided systematic review of 25 peer-reviewed studies on automated cocoa pod disease detection and classification (2016–2026), addressing architectural approaches, … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 743 accessesView PDFCite
Research ArticleOpen accessIn the abstractBridging Traditional Craftsmanship and Digital Interaction through User-Centered Design: Designing Intuitive InterfacesChristopher Kevin Gunawan, Ravi Ardiza Putra, Steven Albert et al.Traditional craftsmanship served as both a manifestation of cultural heritage and a vital pillar of the global creative economy. However, its digital integration was frequently hindered by low technological literacy and misalignment between manual practices and standardized digital systems. Existing digital interventions primarily focused on passive e-commerce storefronts and often ignored the socio-economic precarity of craftsmen operating as independent contractors … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Jun 2026 · 1,559 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrom Digital Engagement to Social Welfare: Measuring the Impact of the mSmart Application in a Developing RegionHendro Nindito, Evaristus Didik Madyatmadja, Siti Elda Hierra, MaryaniThe mSmart platform, introduced as a pilot initiative in Labuan Bajo, Indonesia, was developed to strengthen community participation in local digital services. This study explores the extent to which the application delivers social value to its users and the broader community. Guided by the Information Systems Success Model (ISSM) and the WebQual framework, the research focuses on three main factors: … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,236 accessesView PDFCite
Review ArticleOpen accessIn the abstractImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,479 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 · 1,861 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntology Based Knowledge Management System Design for Organic FarmingMuqeem Ahmed, Afrah Fathima, Mohammad Islam et al.In the current agricultural system, information is often gathered manually, and farmers make decisions based on their judgment. Occasionally, they seek advice from experts and extension officers. Numerous information systems have recently emerged, offering insights into organic farming practices. However, this information is dispersed across various contexts, formats, and media on the Internet, making it challenging to access. Utilizing ontology … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,443 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictive Mathematical Modeling and Classification of Retail Sales Orders Using AI Machine Learning TechniquesMohammad Subhi Al-Batah, Mowafaq Salem Alzboon, Hamzeh ZureigatThis study presents a systematic mathematical model known as a low-code approach to classifying retail sales orders by size using AI machine learning techniques within the Orange Data Mining platform. Leveraging a real-world sales dataset sourced from Kaggle, we implemented and evaluated ten classification models, including ensemble learners (AdaBoost, Gradient Boosting), probabilistic classifiers (Naïve Bayes), distance-based methods (kNN), and interpretable … …Journal of Computer Science, Vol. 22, Issue 3 · 10 Mar 2026 · 1,573 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic and Environmental Interactions in Spring Wheat Resistance to Bipolaris Sorokiniana Root Rot in KazakhstanYerlan Dutbayev, Ardak Bolatbekova, Aidana Kharipzhanova et al.Common root rot caused by Bipolaris sorokiniana represents a major constraint to wheat production in Kazakhstan. This study evaluated the resistance of 30 spring bread and durum wheat genotypes under diverse environmental and treatment conditions in two contrasting regions (Almaty and Aktobe) during 2024. The experimental design included three treatment regimes: fungicide application, artificial inoculation with the pathogen, and natural … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 7 Mar 2026 · 1,523 accessesView PDFCite