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- research-articleOctober 2024
An intelligent resource allocation strategy with slicing and auction for private edge cloud systems
- Yuhuai Peng,
- Jing Wang,
- Xiongang Ye,
- Fazlullah Khan,
- Ali Kashif Bashir,
- Bandar Alshawi,
- Lei Liu,
- Marwan Omar
Future Generation Computer Systems (FGCS), Volume 160, Issue CPages 879–889https://doi.org/10.1016/j.future.2024.06.045AbstractThe convergence of transformative technologies, including the Internet of Things (IoT), Big Data, and Artificial Intelligence (AI), has driven private edge cloud systems to the forefront of research efforts. The access to massive terminals and ...
Highlights- The resource allocation is elucidated as a MINLP problem
- The MPAA is used to address the resource allocation between MNO and MVNO.
- The TRAS is developed to address the spectrum allocation between MVNO and terminal.
- The SA is ...
- research-articleSeptember 2024
Cross-modal interaction and multi-source visual fusion for video generation in fetal cardiac screening
AbstractTo address the limitation of preserving data for dynamic visualization in fetal ultrasound screening, a novel framework is proposed to facilitate the generation of fetal four-chamber echocardiogram videos, incorporating multi-source visual fusion ...
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Highlights- A frame interpolation is used to synthesis videos via inter-frame pixel movement.
- A synchronizer is developed to regulate videos with actual cardiac rhythm fusion.
- The synchronizer aligns images with blood flow to synchronize the ...
- research-articleJuly 2024
Digital twin-assisted service function chaining in multi-domain computing power networks with multi-agent reinforcement learning
Future Generation Computer Systems (FGCS), Volume 158, Issue CPages 294–307https://doi.org/10.1016/j.future.2024.04.025AbstractThe emerging computing power network (CPN) is believed to undergo the paradigm reformation of network function virtualization (NFV) and service function chaining (SFC). It is prerequisite to explore the performance upper bound of NFV-assisted CPN ...
Highlights- DT facilitates the real-time information exchange between physical objects and digital replicas.
- MADDPG-based method allows the centralized training and decentralized execution.
- Prioritized experience replay exploits the importance ...
- research-articleMarch 2024JUST ACCEPTED
Audio-Visual Event Localization using Multi-task Hybrid Attention Networks for Smart Healthcare Systems
Human perception heavily relies on two primary senses: vision and hearing, which are closely inter-connected and capable of complementing each other. Consequently, various multimodal learning tasks have emerged, with audio-visual event localization (AVEL) ...
- research-articleMarch 2024
Lightweight and smart data fusion approaches for wearable devices of the Internet of Medical Things
AbstractInternet of Medical Things (IoMT) refers to a group of dedicated devices, i.e., wearable sensors attached to the human body for capturing the real-time data, specifically physiological signals, to develop an automated and technology-assisted ...
Highlights- A lightweight data fusion approach that is specifically designed for wearable devices in the IoMT.
- A mechanism that enables wearable devices to differentiate abrupt changing scenarios from the noisy data values.
- A non-metric ...
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- research-articleDecember 2023
Automatic Background Filtering for Cooperative Perception Using Roadside LiDAR
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 25, Issue 7Pages 6964–6977https://doi.org/10.1109/TITS.2023.3342178The vehicle-road cooperative perception needs high accuracy and real-time automatic background filtering to separate background objects from foreground objects in complex traffic scenes. Reducing the influence of foreground objects to improve accuracy, ...
- research-articleDecember 2023
Sustainable Secure Communication in Consumer-Centric Electric Vehicle Charging in Industry 5.0 Environments
IEEE Transactions on Consumer Electronics (ITOCE), Volume 70, Issue 1Pages 1544–1555https://doi.org/10.1109/TCE.2023.3338818Industry 5.0, a revolutionary paradigm focused on intelligent manufacturing, has profoundly impacted the automotive industry. It offers reliable data transmission and enhances the security of vehicle network systems, meeting evolving consumer needs. With ...
- research-articleOctober 2023JUST ACCEPTED
Handwritten Odia Digit Recognition using Learning Systems: A Comparison of Neural Networks and Support Vector Machine Models
- Urva Sharma,
- Rajat Bansal,
- Pradeepta Kumar Sarangi,
- Deepali Gupta,
- Shalli Rani,
- Fazlullah Khan,
- Gautam Srivastava
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3626524The Odia language is one of the many regional languages spoken in India. It is the official language of Odisha, a State in eastern India. The Odia language carries a 1500-year-old history and worldwide is spoken by more than 50 million people. The Odia ...
- research-articleOctober 2022
A reliable wireless communication mechanisms and decision support system for the IoT networks
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 26, Issue 20Pages 10707–10716https://doi.org/10.1007/s00500-022-06875-6AbstractDue to the overwhelming characteristics of the IoT (Internet of Things), it has been used in different application areas to monitor various activities continuously. However, the development of a reliable decision support system (DSS) and ...
- research-articleJuly 2022
Improving Physical Layer Security in Vehicles and Pedestrians Networks With Ambient Backscatter Communication
IEEE Transactions on Intelligent Transportation Systems (ITS-TRANSACTIONS), Volume 23, Issue 7Pages 9380–9390https://doi.org/10.1109/TITS.2021.3117887Autonomous driving is considered one of the killer technologies in the intelligent era. The information transmission between autonomous vehicles and pedestrians (V2P) is very important to reduce the number of road accidents. Ambient backscatter ...
- research-articleFebruary 2022
An effective machine learning-based model for the prediction of protein–protein interaction sites in health systems
Neural Computing and Applications (NCAA), Volume 36, Issue 1Pages 65–75https://doi.org/10.1007/s00521-022-07024-8AbstractProtein is a vital biomolecule that accomplishes distinct biological activities by interacting with other proteins in complex biological systems. The protein–protein interaction (PPI) sites hot spot characterization holds preliminary importance in ...
- research-articleJanuary 2022
Efficient and reliable hybrid deep learning-enabled model for congestion control in 5G/6G networks
Computer Communications (COMS), Volume 182, Issue CPages 31–40https://doi.org/10.1016/j.comcom.2021.11.001AbstractFuture generation networks such as millimeter-wave LAN, broadband wireless access systems, and 5th or 6th generation (5G/6G) networks demand more security, low latency with more reliable standards and communication capacity. Efficient ...
- research-articleJanuary 2022
Gap between Prediction and Truth: A Case Study of False-Positives in Leakage Detection
Since leakage detection was introduced as a popular side-channel security assessment, it has been plagued by false-positives (a.k.a. type I errors). To fix this error, the previous solutions set detection thresholds based on an assumption-based prediction ...
- research-articleJanuary 2022
A Network Communication Frequency Routing Protocol of Coal Mine Safety Monitoring System Based on Wireless Narrowband Data Communication Network
In recent years, the coal industry has been expanding the scale and output of coal mining in China, yet the safety in production is faced with great challenge. Communication system in coal mines plays a significant role in production safety, and wireless ...
- research-articleJanuary 2022
Internet of Things-Enabled Optimal Data Aggregation Approach for the Intelligent Surveillance Systems
The Internet of Things (IoT)-based intelligent surveillance systems in smart cities are a challenging issue as various devices capture the data. These devices, deployed close to the underlined phenomenon, such as cameras, are duplicated or redundant as ...
- research-articleJanuary 2022
Blended Oral English Teaching Based on Core Competence Training Model
The traditional mixed oral English teaching model has many obvious shortcomings, such as the inability to correct the students’ oral pronunciation errors and feed them back in time, which leads to the slow improvement of students’ English learning level. ...
- research-articleJanuary 2021
Applications of the Small and Medium Enterprise Management System Using the Clustering Algorithm
The traditional small and medium enterprise management system has a low efficiency of operation and management. A small and medium enterprise management system based on a clustering algorithm is designed in this paper to address this problem. In the ...
- research-articleJanuary 2021
Sports Injury Rehabilitation Intervention Algorithm Based on Visual Analysis Technology
Sports injuries of high-level athletes restrict the improvement of sports performance. Under this premise, an efficient and accurate sports injury assessment method is needed to detect potential sports injuries and conduct injury prevention training. ...
- research-articleJanuary 2021
Academic Influence of China’s Sports Social Discipline Based on Bibliometrics
Background. To accurately evaluate sports social discipline’s academic influence in China, a model of academic influence evaluation of sports social discipline in China based on bibliometrics is proposed. Objective. A statistical model of the academic ...