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RBS-YOLO: a vehicle detection algorithm based on multi-scale feature extraction
In autonomous driving, vehicles are recognized by computer vision and image processing to reduce the risk of accidents. However, traditional vehicle...
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BlindSpotNet: Seeing Where We Cannot See
We introduce 2D blind spot estimation as a critical visual task for road scene understanding. By automatically detecting road regions that are...
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Defect evolution in GaN thin film heterogeneously integrated with CMOS-compatible Si(100) substrate by ion-cutting technology
The defects and their thermo-evolution in the hetero-integrated GaN films on Si(100) substrate were thoroughly studied. The nano-cavity defects and...
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Faulty RJ45 connectors detection on radio base station using deep learning
A Radio Base Station (RBS), part of the Radio Access Network, is a particular type of equipment that supports the connection between a wide range of...
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Rbot: development of a robot-driven radio base station maintenance system
This work describes the development of RBOT, a robot-driven radio base station maintenance system. RBS deployment and maintenance tasks are...
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Improving Rule Based and Equivalent Decision Simplifications for Bloat Control in Genetic Programming Using a Dynamic Operator
Bloat is a common issue regarding Genetic Programming (GP), specially noted in Symbolic Regression (SR) problems. Due to this, GP tends to generate a...
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Radio Resource Scheduling in 5G Networks Based on Adaptive Golden Eagle Optimization Enabled Deep Q-Net
The growth of fifth-generation (5G) broadband wireless systems presents several issues in terms of network resource allocation. In a collaborative...
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Alzheimer’s disease classification using distilled multi-residual network
Early human intervention is crucial for diagnosing Alzheimer’s Disease (AD), since AD is irreversible and leads to progressive impairment of memory....
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Fair Resource Reusing for D2D Communication Based on Reinforcement Learning
Device-to-device (D2D) communications can improve the overall network performance, including low latency, high data rates, and system capability for...
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Introducing scalable 1-bit full adders for designing quantum-dot cellular automata arithmetic circuits
Designing logic circuits using complementary metal-oxide-semiconductor (CMOS) technology at the nano scale has been faced with various challenges...
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Generative residual block for image generation
Generative adversarial network (GAN) consisting of the generator and discriminator is widely studied to synthesize photorealistic images. Recently,...
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Age of Information-Based Channel Scheduling Policy in IoT Networks Under Dynamic Channel Conditions
IoT networks are comprised of multiple terminal devices and control centers, where the increasing amount of connected IoT devices have led to a...
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Model Decomposition of Robustness Diagram with Loop and Time Controls to Petri Net with Considerations on Resets
Robustness Diagram with Loop and Time Controls is a multidimensional workflow model that can capture all workflow dimensions, i.e. process, resource,...
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Well-Handledness in Robustness Diagram with Loop and Time Controls
This study unveils and formalizes well-handledness in Robustness Diagram with Loop and Time Controls(RDLT). This model property has not yet been...
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Energy Harvesting Enabled Energy Efficient Cognitive Machine-to-Machine Communications
Energy harvesting based cognitive machine-to-machine (EH-CM2M) communication has been introduced to overcome the problem of spectrum scarcity and...
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Customized Slicing for Industrial Applications
Wireless networks are required to provide mobile ultra-reliable and low-latency services for applications in vertical industries, promoting the...
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A Downlink Scheduling Algorithm Based on Network Slicing for 5G
Current cellular mobile network should satisfy the service requirements of the User Equipment (UE) applications through Radio Resource Management...
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Scalable video traffic offloading for streaming services in 5G HetNets
In this paper, by combining scalable video coding (SVC) and traffic offloading, we propose a scalable video traffic offloading (SVO) approach to...
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A Large Deviations Model for Latency Outage for URLLC
In this paper, we develop an analytical model for radio resource dimensioning for latency-critical services in 5G networks. URLLC (Ultra-Reliable Low...
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Transformer-Based Video Deinterlacing Method
Deinterlacing is a classical issue in video processing, aimed at generating progressive video from interlaced content. There are precious videos that...