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132 articles for “Performance Assessment”
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Research ArticleOpen accessIn the abstractBasis of Guidelines for Structural Design and Thermal Assessment of Buildings with Hybrid CLT-Glass ElementsNikola Perković, Vlatka Rajčić, Chiara Bedon et al.Facade elements are known to represent a building component with multiple performance parameters to satisfy. Among others, “advanced facades” take advantage from hybrid solutions, like the assemblage of laminated materials. In addition to enhanced mechanical properties that are typical of optimally composed hybrid structural components, these systems are energy efficient, durable and offer lightening comfort and optimal thermal performance. This … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 9 Apr 2020 · 6,972 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Watershed Structures in Controlling Runoff - Case Study of Sardasht Basin in IRANSeyedeh Zahra Hosseini-Teshnizi, Ghodratollah Davoudi, Seyedeh Laleh Razavi, Kaveh Ostad-Ali-AskariIn order to investigate the performance of constructed structures in Sardasht watershed, Soil and Water Assessment Tools model for simulation of runoff and sediment during the studied period of 1996-2012 was carried out for two cases of existence and absence of flood control structures. From 2007 onwards by performing watershed operations in these sub-basins, the average runoff rate decreased about … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 1 · 26 Feb 2020 · 7,351 accessesView PDFCite
Review ArticleOpen accessIn the abstractGoats’ Litter Size Concerning Bone Morphogenetic Protein 15 Gene VariationsTebogo Letsukulo Percy Thepa, Thobela Louis Tyasi, Jones Ng’ambiBone morphogenetic protein 15 (BMP15), a member of the transforming growth factor-β (TGF-β) superfamily, plays essential roles in follicular development and ovulation. Single nucleotide polymorphisms (SNPs) in the BMP15 gene have been associated with litter size in multiple livestock species, yet no comprehensive systematic review has synthesized findings across goat breeds. This systematic review aimed to evaluate the association between … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 18 Feb 2026 · 1,411 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 3: SGAMR is Always on Track!Chiara Bedon, Mario D’Aniello, Flavio StochinoThe year 2019 represents a new growing step for SGAMR, that starts to publish “continuously” all the accepted papers, once they are subjected to positive, blinded peer-review process. This is a further effort to improve the service for the contributors and for the readers, given that the efficiency of the journal to share knowledge can be maximized. Hänig et al. … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 28 Aug 2020 · 5,713 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Modified Cascaded Fully Convolutional Neural Networks and Optimized Swin U-Net for Liver Lesion PredictionSugandha Chakraverti, Tejaswi Khanna, Vijay ShuklaLiver lesions are abnormal growths that can develop for various reasons, some of which are noncancerous (benign) while others are cancerous. Machine learning and, deep learning techniques are employed for liver health assessment and lesion detection, but the quality and, diversity of training data can hinder the performance, leading to overfitting or underfitting. These models often need extensive pre-processing and … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 382 accessesView PDFCite
Review ArticleOpen accessIn the abstractHuman Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offsJose Antonio Rojas Guillén, Wini Ebelin Quispe Bautista, Arturo Gamarra MorenoHuman Activity Recognition (HAR) has become a key component of intelligent healthcare monitoring, assisted living, sports analytics, smart environments, and wearable computing. However, the migration of HAR models from cloud-centered architectures to edge, embedded, mobile, and wearable platforms introduces constraints related to computational capacity, memory footprint, battery consumption, inference time, and real-time responsiveness. This study presents a systematic literature review … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 601 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 933 accessesView PDFCite
Research ArticleOpen accessIn the abstractCuticular Chitin of the Wild Silkworm Saturnia Pyri: A Renewable Source for Applications Across Industrial SectorsZarintaj Shukurova, Yusif Shukurlu, Zarbali Khalilov, Madina SharifovaIn the context of a developing sustainable bioeconomy, the search for renewable sources of biopolymers as alternatives to traditional ones is of crucial importance. In this regard, insect cuticular waste represents a promising yet insufficiently explored raw material for obtaining chitin and chitosan. This study aimed to perform a comparative assessment of the extraction efficiency and quality of chitin and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 7 Aug 2026 · 950 accessesView PDFCite
Research ArticleOpen accessIn the abstractGait Analysis Combining Sports Biomechanics and ImagingChao ZhuAiming at the problems of marker positioning error, soft tissue interference, and insufficient personalized modeling ability in traditional gait analysis, this study proposes a gait assessment method that integrates sports biomechanics and multimodal imaging analysis. Firstly, based on the public OU-ISIR gait database, a Convolutional Neural Network (CNN) is used to extract the key gait features in the human silhouette … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 20 Jul 2026 · 858 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnsemble Learning for Proactive Detection of Network-Intrusion-Based Insurance FraudBenjamin Asubam Weyori, Selorm Kofi Tagbo et al.We propose an ensemble learning pipeline that proactively integrates Stacking Feature Embedding (SFE) with Principal Component Analysis (PCA) and tree-based ensembles to proactively detect insurance fraud originating from network intrusions. The main contributions are: (1) the novel integration of SFE-PCA as a meta-feature construction step for tabular network flow data; (2) a sensitivity analysis that justifies PCA reduction ratios used … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 943 accessesView PDFCite