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quantization » quantification (Expand Search)
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Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers
Published 2025Get full text
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Competitive learning/reflected residual vector quantization for coding angiogram images
Published 2003“…This paper deals with employing competitive learning neural network in RRVQ design algorithm that results in competitive learning RRVQ algorithm for the RVQ structure. …”
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Edge Caching in Fog-Based Sensor Networks through Deep Learning-Associated Quantum Computing Framework
Published 2022“…The framework is basically a merger of a deep learning (DL) agent deployed at the network edge with a quantum memory module (QMM). …”
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An ANP Approach for Selecting a Sustainable Learning Technology Intervention for Development
Published 2013Get full text
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Formal Verification- and AI/ML-Assisted Radio Resource Allocation for Open RAN Compliant 5G/6G Networks
Published 2025“…By leveraging the Open Radio Access Network (RAN) architecture, the framework enables flexible and efficient management of radio resources to meet the competing demands of services offered by the fifth/sixth generation (5G/6G) of wireless networks. …”
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A Thesis in the Use of Computer Assisted Language Learning in a Whole Language Contest
Published 2005Get full text
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Low-Light Homomorphic Filtering Network for integrating image enhancement and classification
Published 2021“…In this paper, we propose a new LLI enhancement model titled LLHFNet (Low-light Homomorphic Filtering Network) which performs image-to-frequency filter learning and is designed for seamless integration into classification models. …”
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A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures
Published 2024“…<p dir="ltr">In recent years, there has been a significant advancement in memristor-based neural networks, positioning them as a pivotal processing-in-memory deployment architecture for a wide array of deep learning applications. …”
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A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification
Published 2024“…In this study, we present RWC-Net (recyclable waste classification network), a novel deep learning model designed for the classification of six distinct waste categories using the TrashNet dataset of 2,527 images of waste. …”
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Artificial neural networks for predicting the performance of novice CAD users based on their profiled technical attributes
Published 2017“…This paper utilizes Artificial Neural Networks (ANN) to forecast the mechanical CAD performance of novice trainees involved in formal training. …”
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LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications
Published 2024“…We propose a simple deep learning architecture that experiments with six different convolutional neural networks. …”
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Spectrum Occupancy Measurements and Cognitive Radio System Implementation
Published 2017Get full text
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