Journal of Advancements in Robotics
Volume 10, Issue 3 (2023)
Published
Table of contents
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Application of AI Driven Robots and Their Future Direction
Abstract: AI-driven robots have found applications in various domains, including manufacturing, healthcare, logistics, agriculture, and more. Robots with computer vision and machine learning skills are improving accuracy, productivity, and quality control in manufacturing. In healthcare, robotic surgery and patient care assistance are becoming increasingly common. Logistics and warehousing benefit from AI-driven robots for tasks such as autonomous navigation and inventory management. Within the field of agriculture, robots find application in activities …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 1–10 Read article
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Visionary Fusion: Empowering Robot Sight with Model-driven Multi-band Enhancement
Abstract: Single image enhancement is crucial for improving visual quality in applications like robot vision. This study proposes a novel topic-model assisted multi-band image fusion method to enhance a single input image while preserving semantic information. The key innovation is using topic models for adaptive band fusion based on image content. Comparative experiments on benchmark datasets demonstrate that the proposed technique outperforms state-of-the-art methods in quantitative and qualitative evaluation. This study …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 11–19 Read article
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Comparative Analysis of Supervised Learning Algorithms for the Traffic Accident Prediction Under Rural and Urban Areas
Abstract: The features of different mechanisms for safety to traffic accidents are the biggest challenge for the automobile manufacturing industry in rural and urban areas. The objective of this work is to address the challenge of safety in traffic accidents by developing an accurate prediction model for identifying patterns in the different scenarios for preventing traffic accidents using accurate prediction. The machine learning algorithm is used to easily predict the traffic …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 20–27 Read article
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Intrusion Detection System with Machine Learning Algorithms
Abstract: Machine learning has become increasingly relevant in recent years, including in IT security. Algorithms are used to train intrusion detection systems to be able to react to new attack vectors. In this work, the basics of machine learning are explained and the results of two research projects are presented in order to investigate which algorithms are suitable for training a machine-learning intrusion detection system. In addition, the software library Scikit-Learn …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 28–37 Read article
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Accounting and Finance with Robotic Process Automation (RPA)
Abstract: This study explores the potential of robotic process automation (RPA) to transform finance and accounting (F&A) operations. RPA involves utilizing software robots to mimic human interactions with applications, specifically targeting rule-based and repetitive tasks across various financial processes. Key findings: Boosted productivity and efficiency: RPA may result in considerable efficiency improvements by streamlining repetitive operations and freeing up F&A employees to concentrate on more strategic, higher-value work. Enhanced accuracy and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 38–42 Read article