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A review of recent advances, techniques, and control algorithms for automated guided vehicle systems
Autonomy offers significant advantages for mobile robots by eliminating the need for human operators, thereby enhancing safety and...
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Performance Analysis of Path Planning Algorithms for Fruit Harvesting Robot
PurposePath planning is an essential part in designing of an agricultural robot. The path planning algorithms for fruit harvesting robots vary in...
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Design of computer interactive teaching system by using feature extraction algorithm and multimedia technology
The emergence of computer interactive teaching system greatly facilitates the needs of students to learn anytime and anywhere at this stage. At the...
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Explainable artificial intelligence and machine learning algorithms for classification of thyroid disease
A common endocrine issue affecting millions globally is thyroid illness. For this ailment to be effectively treated and managed, an early and...
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Intelligent milling tool wear estimation based on machine learning algorithms
This study introduces an innovative approach to estimate tool wear in milling operations across diverse operational settings, employing a...
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Enhancing Weld Inspection Through Comparative Analysis of Traditional Algorithms and Deep Learning Approaches
Automated inspection is vital in modern industrial manufacturing, optimizing production processes and ensuring product quality. Welding, a widely...
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Comparative Analysis of Signal Processing Techniques for Mental State Recognition in Brain-Computer Interfaces (BCI)
The BCI (Brain-computer interface) is a new-age tool in which human or artificial body parts like prosthetic arms can be controlled by sensing the...
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Analysis and implementation of computer network graph based on iterative control algorithm theory
This study aims to use the theory of iterative control algorithm to learn and extract the semantic structural features of large-scale network data by...
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Simulation of packaging design of virtual manufacturing products based on computer vision and Big data
Packaging design not only protects products but also plays a role in promotion and marketing, becoming a powerful marketing method. With the support...
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Smart Pothole Detection System using Deep Learning Algorithms
Potholes are a threat on roads, and their presence compromises driver, vehicle, and pedestrian safety. In develo** countries, the primary reason...
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Performance analysis of deep learning-based object detection algorithms on COCO benchmark: a comparative study
This paper thoroughly explores the role of object detection in smart cities, specifically focusing on advancements in deep learning-based methods....
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Enhancing additive manufacturing with computer vision: a comprehensive review
As an all-in-one process that blended design, materials, and manufacturing, additive manufacturing (AM) adopted a bottom-up stacking approach,...
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Computer Analysis of Lumbar Spine Magnetic Resonance Imaging Scans via Neural Network Algorithms
The paper contains a comparative analysis of the computer methods of the lumbar spine investigation. The authors suggest a method of computer... -
Quantum Computing for Computer Vision: Applications, Challenges, and Research Tracks
In the last few years, computer vision has achieved significant breakthroughs, largely due to the advances in deep learning models. However, despite... -
Packaging design of virtual manufacturing products based on computer vision and big data
Virtual manufacturing technology utilizes computers to simulate the manufacturing process. Through virtual simulation, manufacturing enterprises can...
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Application of computer-aided CAD in urban planning heritage protection
Computer-aided CAD system plays an important role in urban planning and heritage conservation. When develo** new products, the computer-aided...
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Fuel-Saving Control Strategy for Fuel Vehicles with Deep Reinforcement Learning and Computer Vision
This study uses deep reinforcement learning (DRL) combined with computer vision technology to investigate vehicle fuel economy. In a driving cycle...
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Application of human–computer interaction system based on machine learning algorithm in artistic visual communication
After entering the twenty-first century, with the development of science and technology represented by artificial intelligence, the content of art...
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Accurate compressive strength prediction using machine learning algorithms and optimization techniques
Numerous components' complex interrelationships and interconnectedness present a formidable obstacle in develo** mix designs for high-performance...
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Quantum algorithms: applications, criteria and metrics
In the field of data processing and IoT communication it is possible to develop more robust solutions by combining quantum algorithms with...