Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers حسب Aziz, Mohammad Rabih

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Competitive learning/reflected residual vector quantization for coding angiogram images حسب Mourn, W.A.H.

"…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 حسب Tayyabah Hasan (18427887)

"…The framework is basically a merger of a deep learning (DL) agent deployed at the network edge with a quantum memory module (QMM). …"

Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation حسب Shanableh, Tamer

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A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures حسب Bo Lyu (16522643)

"…<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. …"

LungVision: X-ray Imagery Classification for On-Edge Diagnosis Applications حسب Aldamani, Raghad

"…We propose a simple deep learning architecture that experiments with six different convolutional neural networks. …"
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A conjugate self-organizing migration (CSOM) and reconciliate multi-agent Markov learning (RMML) based cyborg intelligence mechanism for smart city security حسب S. Shitharth (12017480)

"…Cyborg intelligence is one of the most popular and advanced technologies suitable for securing smart city networks against cyber threats. Various machine learning and deep learning-based cyborg intelligence mechanisms have been developed to protect smart city networks by ensuring property, security, and privacy. …"