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   Articles with "semantic aware" as a keyword



Semantic‐aware automatic image colorization via unpaired cycle‐consistent self‐supervised network

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22667

Abstract: Automatic image colorization without manual interventions is an ill‐conditioned and inherently ambiguous problem. Most of existing methods focus on formulating colorization as a regression problem and learn parametric mappings from grayscale to color through deep… read more here.

Keywords: semantic aware; automatic image; image colorization; colorization ... See more keywords

Accuracy‐first and efficiency‐first privacy‐preserving semantic‐aware ranked searches in the cloud

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recommendations! Published in 2022 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.22989

Abstract: Traditional term frequency‐inverse document frequency model‐based privacy‐preserving ranked search schemes rarely consider the latent semantic meanings of documents and keywords. It is a challenge to design efficient semantic‐aware ranked search (SRSE) schemes with privacy preservation.… read more here.

Keywords: efficiency first; semantic aware; accuracy first; privacy preserving ... See more keywords

Semantic-aware reinforcement and ensemble learning for signal management and anomaly detection in IoT systems

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recommendations! Published in 2025 at "Scientific Reports"

DOI: 10.1038/s41598-025-26500-4

Abstract: The rapid growth of large-scale internet of things (IoT) networks poses critical challenges in maintaining reliable signal quality and timely anomaly detection under heterogeneous and dynamic environments. This paper presents a semantic-aware hybrid framework that… read more here.

Keywords: detection; reinforcement; framework; anomaly detection ... See more keywords

An Improved Low-Bit-Rate Image Compression Framework Based on Semantic-Aware Model and Neighborhood Attention

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3596711

Abstract: In recent years, image compression techniques based on deep neural networks have achieved significant advancements, outperforming traditional methods in delivering higher compression efficiency at lower bit rates. However, existing approaches often result in degraded image… read more here.

Keywords: image; image compression; compression; aware model ... See more keywords

Compiler-Assisted Semantic-Aware Encryption for Efficient and Secure Serverless Computing

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recommendations! Published in 2021 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2020.3031550

Abstract: Serverless computing like Function-as-a-Service (FaaS) is attractive for IoT service providers, liberating the providers from server maintenance. Since a data processing function is executed on the cloud instead of a dedicated server in the FaaS… read more here.

Keywords: compiler; semantic aware; compiler assisted; serverless computing ... See more keywords

Imitation Learning-Based Implicit Semantic-Aware Communication Networks: Multi-Layer Representation and Collaborative Reasoning

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recommendations! Published in 2022 at "IEEE Journal on Selected Areas in Communications"

DOI: 10.1109/jsac.2022.3229419

Abstract: Semantic communication has recently attracted significant interest from both industry and academia due to its potential to transform the existing data-focused communication architecture towards a more generally intelligent and goal-oriented semantic-aware networking system. Despite its… read more here.

Keywords: semantic information; communication; implicit semantic; based implicit ... See more keywords

Generative Semantic Communications With Foundation Models: Perception-Error Analysis and Semantic-Aware Power Allocation

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recommendations! Published in 2024 at "IEEE Journal on Selected Areas in Communications"

DOI: 10.1109/jsac.2025.3559120

Abstract: Generative foundation models can revolutionize the design of semantic communication (SemCom) systems by enabling high fidelity exchange of semantic information at ultra-low rates. In this work, a generative SemCom framework utilizing pre-trained foundation models is… read more here.

Keywords: power allocation; aware power; error; power ... See more keywords

Semantic-Aware Resource Allocation Based on Deep Reinforcement Learning for 5G-V2X HetNets

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recommendations! Published in 2024 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2024.3443603

Abstract: This letter proposes a semantic-aware resource allocation (SARA) framework with flexible duty cycle (DC) coexistence mechanism (SARADC) for 5G-V2X Heterogeneous Network (HetNets) based on deep reinforcement learning (DRL) proximal policy optimization (PPO). Specifically, we investigate… read more here.

Keywords: aware resource; based deep; allocation; resource allocation ... See more keywords

Semantic-Aware Adaptive Video Streaming Using Latent Diffusion Models for Wireless Networks

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recommendations! Published in 2025 at "IEEE Wireless Communications"

DOI: 10.1109/mwc.001.2500068

Abstract: This article proposes a novel Semantic Communication (SemCom) framework for real-time adaptive-bitrate video streaming by integrating Latent Diffusion Models (LDMs) within the FFmpeg techniques. This solution addresses the challenges of high bandwidth usage, storage inefficiencies,… read more here.

Keywords: video; video streaming; latent diffusion; diffusion models ... See more keywords

A Semantic-Aware Detail Adaptive Network for Image Enhancement

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2024.3483191

Abstract: Low-light images often suffer from varying degrees of visual degradation. Current methods for recovering image texture details fail to rely on the self-adaptive correlation texture direction of the image itself, which leads the network to… read more here.

Keywords: image; detail adaptive; aware detail; network ... See more keywords

Semantic-Aware Network for Natural Language Tracking

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recommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2025.3563267

Abstract: Natural language tracking aims to locate the position of a target specified by a natural language description. Existing methods are trained on vision-language datasets with a small number of language descriptions, which may lead to… read more here.

Keywords: aware network; module; language tracking; natural language ... See more keywords