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4 articles for “gray relational analysis”
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Grey Relational Analysis of Cuttlefish Bone Particles–Glass Fiber Reinforced Epoxy Composites
Abstract: This research examines the mechanical characteristics, water absorption performance, and thermal stability of epoxy composites reinforced with Cuttlefish Bone Particles (CFBP) and glass fibers. Composites were fabricated with varying CFBP contents (0%, 3%, 6%, 9%, and 12%) using an epoxy resin as the matrix material and glass fiber as the primary reinforcement. The experimental results revealed that the CFBP-0 composite (neat epoxy with glass fiber) exhibited the highest tensile strength, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 239–246 Read article
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Development of a Novel Analytical Framework for Investigating Non-Symmetric Deformation Behavior in Strip Rolling
Abstract: In recent years, the asymmetrical rolling process has attracted considerable research attention due to its ability to induce non-uniform deformation characteristics within metallic workpieces. In this context, the present study introduces a novel analytical framework for asymmetrical cold rolling based on an enhanced slab method, specifically designed to overcome the inherent limitations of existing analytical models when applied to a wide range of asymmetric rolling conditions. A newly developed mathematical …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 1–21 Read article
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Challenges and Opportunities in the African Pharmaceutical Industry
Abstract: Background: The pharmaceutical industry in Africa has significant potential for growth; however, it is overwhelmed with grappling challenges. Nonetheless, these challenges can create a window of opportunities for innovation. This article provides an in-depth analysis of the profound challenges and opportunities in the continents pharmaceutical industry. Methods: Using data collected from published literature, reports and gray literature was used to conduct a narrative review. Using data collected from various publications …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 3, 2024 · pp. 88–98 Read article
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Dual-Stream Deep Learning Framework for Brain CT Image Classification and Implications for Polymer Composite Neuro Implant Evaluation
Abstract: Early and accurate classification of brain CT images is critical for diagnosing conditions such as aneurysms, tumors, and related lesions. We present a dual-stream image-classification framework that fuses convolutional neural network (CNN) features with handcrafted Histogram of Oriented Gradients (HOG) descriptors to jointly capture global semantics and local textural cues. The pipeline begins with modality unification via pixel-wise averaging to form a fused input, which is then processed in parallel …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 172–179 Read article