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.
Results
Showing 1 to 20 of 97 for “"Competitive performance"”.
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Evaluation of the competitive performance of an indigenous eicosapentaenoic acid producing microalgal isolate
Omega-3 fatty acids are known to have positive effects on brain function, as well as cardiovascular disease and inflammatory diseases. They currently sold as fish oil concentrates. The fish oil extraction processes are unsustainable due to the diminishing fish stocks in open waters. In addition to …
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Manufacturing technology centers : public policies to enhance competitive performance among small manufacturers in the United States
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1995.
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Image Classification with Consistent Supporting Evidence
… empirically that consistent models provide competitive performance while supporting interpretation.
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Exploring screen summarization with large language and multimodal models
… models (LMMs) have been shown to have strong performance on various downstream tasks such as sentiment analysis and text classification. Further, LLMs have been shown to have a competitive performance when applied to screen summarization tasks with effective prompting strategies. First, we …
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NEURAL ARCHITECTURE DESIGN AND APPLICATIONS
… operator, we create PoolFormer, which achieves competitive performance across vision tasks. This supports our hypothesis that the general Transformer architecture, dubbed MetaFormer, is essential for model performance. MetaFormer ensures consistent performance and works well with various token …
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MakeML : automated machine learning from data to predictions
… quickly create machine learning models that have competitive performance with models hand-built by trained data scientists. MakeML consists of a web-based application similar to a spreadsheet in which users select features and choose a target column to predict. MakeML then automates the process of …
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Application of CNN-gcForestCS to cassava leaf image classification
… tuning than deep learning while producing competitive performance for lower-dimensionality datasets. Taking advantage of the feature extraction capabilities of CNNs and the competitive performance of gcForestCS for lower-dimensionality datasets, the central aim of this dissertation was to …
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Efficient Adaptation of Large Language Models in Natural Language Processing
… Models (LLMs) has significantly improved performance across a wide range of Natural Language Processing (NLP) tasks, including Information Retrieval (IR). Despite their strong generalisation capabilities, LLMs still require domain- and task-specific fine-tuning to achieve competitive …
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DYNAMIC NEURAL NETWORKS FOR EFFICIENT VISION MODEL INFERENCE
… up to 3× faster inference while maintaining competitive performance. In conclusion, this research provides a comprehensive solution to reduce training costs and extends dynamic neural networks to visual generation and multi-modal domains, unlocking new possibilities for efficient real-world …
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Using Deep Neural Nets in Writer Identification & Analysis
… gender, age and handedness. It achieves competitive performance compared to traditional page-level methods that typically rely on separate classifiers. While CTE is an exclusive classifier using a Transformer block, CSE is a multi-label classifier leveraging Swin Transformer blocks.</p>
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Robust and reliable facial landmark detection under challenging conditions
… ensures that facial landmark detection maintains competitive performance on platforms with limited computational ability. Additionally, by sharing features and employing a unique training strategy, the proposed method also demonstrates superior accuracy, even with limited parameters, in other …
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Linear algebra on lattices : Simit language extensions with applications to lattice QCD
… are easily schedulable, and achieve comparable performance to existing methods. Many physical simulations take the form of linear algebra on lattices. This thesis reviews Lattice QCD as a representative example of such a class of applications and identifies the structure of the linear algebra …
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Segment and Cut: A Simpler Method for Extracting Bounding-Boxes for Object Detection
… Experiments show that my method gets competitive performance on the WIDER Face dataset with full-size images and runs between 30 and 50 FPS when using 640x480 pixel images.
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Performance variations among strategic group members in the pharmaceutical industry : an examination of individual sustainable growth capabilities, 1995-1997
… between strategic group membership and performance is inconsistent and conflicting. Consequently, this study examines the hypothesis that individual firm sustainable growth capabilities may moderate the effects of member's shared strategy characteristics on performance in the …
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Automated Finetuning via Sparse Autoencoders
… in sparse autoencoders to achieve better performance in small models via instruction finetuning. Specifically, we present UnderstandTune, an autonomous method for assembling high-quality instruction finetuning datasets with minimal human intervention, requiring only concise task …
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Scalability and interpretability of graph neural networks for small molecules
… I show that this network can achieve competitive performance with common graph neural network baselines. I also show that the network is capable of learning features that allow for transfer learning to larger molecules with significantly better performance than some baselines. This …
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Efficient coordinate descent for ranking with domination loss
… with feature induction, it achieves similarly competitive performance but with much more compact models.
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Motivational influence on the attentional processes of competitive golfers
… motivation and competence striving during competitive performance. It was anticipated that if such relationships were established in competitive contexts, findings would enhance understanding of the underlying mechanisms that contribute to attention explanations of diverse performance …
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Big data value creation : an entanglement of capabilities view-findings from PLS-SEM and fsQCA
… threats and opportunities and create sustainable performance. Much research has evangelised the role of big data in organisations as an enabler for competitive performance by informing better decision making. However, very few organisations have achieved the promise of big data. This research …
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Statistical methods for gene set based significance analysis.
… demonstrate the computational efficiency and the competitive performance of the proposed methods.
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