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MAP3F: a decentralized approach to multi-agent pathfinding and collision avoidance with scalable 1D, 2D, and 3D feature fusion
Path planning and collision avoidance are vital aspects of successful development and utilization of robots in complex and multi-agent environments....
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Trajectory tracking of mobile robots using hedge-agebras-based controllers
This research aims to design controllers based on the hedge-algebras (HA) theory to control differential robots that track reference trajectories....
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A* algorithm based on adaptive expansion convolution for unmanned aerial vehicle path planning
Aiming at the shortcomings of traditional A* algorithm in 3D global path planning such as inefficiency and large computation, an A* optimization...
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A hybrid model using JAYA-GA metaheuristics for placement of fog nodes in fog-integrated cloud
It has been observed that Cloud services exhibit suboptimal performance for real-time requests due to increased network delay. Fog computing has...
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AI-enabled dental caries detection using transfer learning and gradient-based class activation map**
Dental caries detection holds the key to unlocking brighter smiles and healthier lives by identifying one of the most common oral health issues early...
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Video emotional description with fact reinforcement and emotion awaking
Video description aims to translate the visual content in a video with appropriate natural language. Most of current works only focus on the...
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A path planning method based on deep reinforcement learning for crowd evacuation
Deep reinforcement learning (DRL) is suitable for solving complex path-planning problems due to its excellent ability to make continuous decisions in...
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Acoustic analysis of ultrasonic air-borne transducer with concave structure
This paper introduces an ultrasonic transducer with a concave curved structure. The transducer is based on a concave piezoelectric film on a silicone...
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Secured COVID-19 CT image classification based on human-centric IoT and vision transformer
Security and privacy are fundamental to applications of medical internet of things (IoT). This article proposes a new computed tomography (CT) image...
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An English video teaching classroom attention evaluation model incorporating multimodal information
In order to solve the problem of low detection efficiency and long working time in the traditional video surveillance system for abnormal behavior...
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Lane and Platoon Assignment in Intelligent Transportation System: A Novel Heuristic Approach
The right lane and platoon assignment to a vehicle significantly impacts achieving the desired driving goals to improve occupants’ safety or reduce...
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Intelligent fractional-order sliding mode control based maneuvering of an autonomous vehicle
This article proposes a new intelligent trajectory tracking control law for the precise maneuvering of an autonomous vehicle in the presence of...
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Predict industry merger waves utilizing supply network information
Predicting merger waves has been a classical yet challenging problem. In this paper, we propose approaches to predict industry merger waves relying...
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Human-embodied drone interface for aerial manipulation: advantages and challenges
Drones have performed various tasks, such as surveillance, photography, agriculture, and package delivery. However, these tasks typically involve...
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Wavelet scattering transform and deep features for automated classification and grading of dates fruit
Date fruit, a vital agricultural product in the Middle East area, is harvested annually in millions of metric tons and is renowned for its abundant...
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Docker Container-Based Framework of Apache Kafka Node Ecosystem: Vehicle Tracking System by License Plate Recognition on Surveillance Camera Feeds
Vehicle tracking and license plate recognition (LPR) over video surveillance cameras are essential intelligent traffic monitoring systems. Due to the...
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User gait biometrics in smart ambient applications through wearable accelerometer signals: an analysis of the influence of training setup on recognition accuracy
Gait recognition can exploit the signals from wearables, e.g., the accelerometers embedded in smart devices. At present, this kind of recognition...
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Distributed versus centralized computing of coverage in mobile crowdsensing
The expected spatial coverage of a crowdsensing platform is an important parameter that derives from the mobility data of the crowdsensing platform...
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Monte Carlo localization based on off-line feature matching and improved particle swarm optimization for mobile robots
To achieve the autonomy of mobile robots, effective localization is an essential process. Among localization algorithms, the Adaptive Monte Carlo...
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A novel cascade calibration method for robotic grinding system
This paper presents an efficient cascade calibration method with an improved Levenberg–Marquardt and sine–cosine hybrid algorithm to enhance the...