Browsing by Subject "Deep learning"
Now showing items 1-20 of 22
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(2019-11-08)The original Moore’s law has slowed down. It has become unfeasible to double the number of transistor per unit area on integrated circuits every 18 to 24 months. However, the continuous need for computation power is driving ...
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(2023-08-07)The purpose of this study was to develop an image-based framework to generate 3D parametric BIM of existing building using Mask R-CNN and Autodesk Revit with Rhino Grasshopper. This study accomplished the following objectives: ...
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(2017-11-02)High-throughput sequencing has become one of the most powerful tools for studies in genomics, transcriptomics, epigenomics, and metagenomics. In recent years, HTS protocols for enhancing the understanding of the diverse ...
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(2019-04-08)The major focus of this research is on sensor fusion. Sensor fusion means to combine multiple sensory input or data from different source such that the performance is better than the best performance would be when those ...
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(2022-07-20)During the design phase of a building project, evaluation of outdoor thermal environment is very difficult and time consuming and is generally neglected as an intractable performance dimension. The task is burdensome due ...
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(2020-04-14)With industry 4.0, a new era of the industrial revolution with a focus on automation, inter-connectivity, machine learning, and real-time data collection and analysis are emerging. The smart digital technology which includes ...
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(2020-10-09)Deep learning has achieved great success in various machine learning areas, such as computer vision, natural language processing, and graph representation learning. While numerous deep neural networks (DNNs) have been ...
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(2020-04-20)Deep learning using convolutional neural networks (CNNs) has become increasingly successful in plant disease diagnosis, and consequently offers new promise in the ongoing battle against crop disease. While many studies ...
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(2018-08-02)With the exponential increase of cloud based storage systems, it has become critical to reliably store data. Traditionally, methods for error correction have relied on duplication of data / introduction of artificial ...
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(2020-11-19)Healthcare plays a significant role in communities in promoting and maintaining health, preventing and managing the disease, reducing health disability and premature death, and educating a healthy lifestyle. However, ...
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(2020-07-30)Monte Carlo REINFORCE is used to design an algorithm to not only find the optimal deep learning architecture but also the optimal set of features that can maximize the performance of the said deep learning model. The ...
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(2020-11-12)In recent years, deep neural networks have outperformed traditional methods in many tasks of computer vision, such as image classification, object detection, semantic segmentation and so on. However, as the performance of ...
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(2021-03-11)Deep learning has been widely applied for its success in many real-world applications. To adopt deep learning, people often need to go through a non-trivial learning curve like learning the foundation of machine learning ...
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(2021-11-24)The continuous monitoring of one's emotional state can provide valuable insights about their psychological well-being and can be used as a foundation for diagnosis and treatment applications. Yet, due to privacy concerns, ...
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(2019-01-09)With silicon technology reaching its physical limit, conventional computing systems are incapable of offering ever-increasing performance requirement with limited power budget. This has propelled semiconductor community ...
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(2022-12-09)Conventional human motion or biodynamic studies often employ optical motion capture systems which are expensive and largely restricted to laboratory settings. Wearable sensors can provide a cost-effective, mobile alternative, ...
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(2023-03-01)Machine learning (ML) and deep learning (DL) are a subset of artificial intelligence (AI) that can automatically learn from data and can perform tasks such as predictions for decision-making. Interdisciplinary studies ...
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(2022-04-20)Accurate early diagnosis of malignant skin lesions is critical in providing adequate and timely treatment. Unfortunately, initial clinical evaluation of similarly looking benign and malignant skin lesions can result in ...
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(2022-11-09)Nowadays, machine learning and deep learning are present in the most diverse types of applications. From such diversity, many particular designs, architectures, training methods were created, given the variety of applications ...
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(2019-11-05)Oil spills have catastrophic effects on the environment, wildlife, economy, and human health. Therefore, timely detection of oil spills can reduce these disastrous impacts. Existing oil spill detection practices include ...