Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"BOF"”.
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Identification of The Steel Decarbonization Options for Different Regions
… blast furnace-basic oxygen furnace (BF-BOF-SOA) and direct reduced iron with electric arc furnace (DRI-EAF) to replace the current blast furnace-basic oxygen furnace (BF-BOF) based on iron ores, as well as state-of-the-art electric arc furnace (EAFSOA) to replace the current electric arc …
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Contemporary Problems in Aerosol Aggregation and Gelation
… size in a novel buoyancy-opposed flame (BOF) aerosol reactor. Characterizations on the packing density of these particles revealed an inflection in their fractal scaling law within the super-micron regime, parameterized with a decrease of Df from 2.5 to 1.7. A late-stage growth mechanism, …
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Valorización de la escoria LD como árido en hormigones y ladrillos cerámicos: estabilización de la cal libre con cenizas volantes
… la siderurgia, concretamente en el convertidor BOF durante el proceso de transformación del arrabio en acero. La escoria de acería LD se caracteriza por ser un árido limpio, denso, anguloso y de gran dureza, pero inestable debido a su alto contenido en cal libre. Debido a esta inestabilidad su …
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Evaluación de la toxicidad de extractos de frutos y hojas de Schinus areira L. en modelos experimentales de mamífero, para su aplicación segura como insecticida botánico
… una batería de observaciones funcionales (BOF), y la actividad locomotora mediante observaciones en el open field (OF). También se llevó a cabo el estudio histopatológico en hígado, riñón, estómago, intestino y cerebro de los animales. En segundo lugar, se realizaron los estudios por …
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On Optimal Quantization and its Effect on Anomaly Detection and Image Classification
… generate a codebook used by a bag-of-features (BoF) image classifier. This thesis shows that the optimal smoothing calculation in density estimation can be used to systematically quantize the feature space to generate codebooks that can be used in image classification.
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Recognising and localising human actions
… Each subvolume is cast as a bag-of-features (BoF) instance in a multiple-instance-learning framework, which in turn is used to learn its class membership. We demonstrate quantitatively that even with single xed-sized subvolumes, the classication performance of our proposed algorithm is …
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Sparse modeling of high-dimensional data for learning and vision
… graph learning. Based on the bag-of-features (BoF) image representation in a spatial pyramid, we first transform each local image descriptor into a sparse representation, and then these sparse representations are summarized into a fixed-length feature vector over different spatial locations …
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Machine Learning Approaches for Improving Construction Materials and Pavement Systems
… nature of SFS, such as basic oxygen furnace (BOF) slag, electric arc furnace (EAF) slag, and ladle metallurgy furnace (LMF) slag, has been established in literature to confer various concrete characteristics. On the basis of synergy between SMOTE and Light Gradient Boosting Machine (LightGBM) …