Showing 1 - 20 results of 2,071 for search '(efficient OR efficiency) deep learning framework', query time: 0.21s Refine Results
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    Deep-Learning Framework for Efficient Real-Time Speech Enhancement and Dereverberation by Tomer Rosenbaum, Emil Winebrand, Omer Cohen, Israel Cohen

    Published 2025-01-01
    “…In this paper, we present a generalized framework for computationally efficient speech enhancement and, based on this framework, identify an inherent constraint within Deep Filter Net that hinders its dereverberation capabilities. …”
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    An explainable and efficient deep learning framework for EEG-based diagnosis of Alzheimer's disease and frontotemporal dementia by Waqar Khan, Muhammad Shahbaz Khan, Sultan Noman Qasem, Sultan Noman Qasem, Wad Ghaban, Faisal Saeed, Muhammad Hanif, Jawad Ahmad

    Published 2025-07-01
    “…To address these limitations, this paper introduces an explainable and lightweight deep learning framework comprising temporal convolutional networks and long short-term memory networks that efficiently classifies Frontotemporal dementia (FTD), Alzheimer's Disease (AD), and healthy controls using electroencephalogram (EEG) data. …”
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    A Spider Wasp Optimizer-Based Deep Learning Framework for Efficient Citrus Disease Detection by Abisola Olayiwola, Ajibola Oyedeji, Dare Olayiwola, Olufemi Awodoye, Olukunle Oyebode

    Published 2025-07-01
    “…The SWO-DCNN framework offers a dependable and scalable approach for automated citrus disease classification by enhancing model performance and computational efficiency. …”
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    Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

    Published 2025-01-01
    “…To address these challenges, we propose knowledge/model-driven single-agent and multi-agent deep reinforcement learning (DRL) frameworks. We transform the primal problem into a Markov decision process (MDP) for the single-agent DRL framework and a decentralized partially-observable Markov decision process (Dec-POMDP) for the multi-agent DRL framework. …”
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    Ensemble deep learning and anomaly detection framework for automatic audio classification: Insights into deer vocalizations by Salem Ibrahim Salem, Sakae Shirayama, Sho Shimazaki, Kazuo Oki

    Published 2024-12-01
    “…Subsequently, the isolated clips were classified into deer and non-deer categories using machine learning models. Our investigation assessed three state-of-the-art deep learning models, ResNet50, MobileNetV2, and EfficientNet-B2, considering various hyperparameter configurations to optimize the performance. …”
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    An Evolutionary Deep Reinforcement Learning-Based Framework for Efficient Anomaly Detection in Smart Power Distribution Grids by Mohammad Mehdi Sharifi Nevisi, Mehrdad Shoeibi, Francisco Hernando-Gallego, Diego Martín, Sarvenaz Sadat Khatami

    Published 2025-05-01
    “…To address these challenges, this study proposes a novel deep reinforcement learning (DRL)-based framework, integrating a convolutional neural network (CNN) for hierarchical feature extraction and a recurrent neural network (RNN) for sequential pattern recognition and time-series modeling. …”
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    An AI-based framework for improving efficiency and fairness in the interview process by Mohannad Taman, Yahia Khaled, Dalia Sobhy

    Published 2025-06-01
    “…This paper presents InstaJob, an AI-powered framework designed to improve efficiency and fairness in the hiring process. …”
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