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Precision healthcare: A deep dive into machine learning algorithms and feature selection strategies for accurate heart disease prediction

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computers in Biology and Medicine 2024年 176卷 108432-108432页

作者： Islam, Md. Ariful Majumder, Md. Ziaul Hasan Miah, Md. Sohel Jannaty, Sumaia Department of Robotics and Mechatronics Engineering University of Dhaka Dhaka1000 Bangladesh Institute of Electronics Bangladesh Atomic Energy Commision Dhaka Bangladesh Department of Computer Science and Technology Moulvibazar Polytechnic Institute Bangladesh Gonoshasthaya Samaj Vittik Medical College Savar Dhaka Bangladesh

This paper presents a comprehensive exploration of machine learning algorithms (MLAs) and feature selection techniques for accurate heart disease prediction (HDP) in modern healthcare. By focusing on diverse datasets encompassing various challenges, the research sheds light on optimal strategies for early detection. MLAs such as Decision Trees (DT), Random Forests (RF), Support Vector Machines (SVM), Gaussian Naive Bayes (NB), and others were studied, with precision and recall metrics emphasized for robust predictions. Our study addresses challenges in real-world data through data cleaning and one-hot encoding, enhancing the integrity of our predictive models. Feature extraction techniques—Recursive Feature Extraction (RFE), Principal Component Analysis (PCA), and univariate feature selection—play a crucial role in identifying relevant features and reducing data dimensionality. Our findings showcase the impact of these techniques on improving prediction accuracy. Optimized models for each dataset have been achieved through grid search hyperparameter tuning, with configurations meticulously outlined. Notably, a remarkable 99.12 % accuracy was achieved on the first Kaggle dataset, showcasing the potential for accurate HDP. Model robustness across diverse datasets was highlighted, with caution against overfitting. The study emphasizes the need for validation of unseen data and encourages ongoing research for generalizability. Serving as a practical guide, this research aids researchers and practitioners in HDP model development, influencing clinical decisions and healthcare resource allocation. By providing insights into effective algorithms and techniques, the paper contributes to reducing heart disease-related morbidity and mortality, supporting the healthcare community's ongoing efforts. © 2024 Elsevier Ltd

关键词： Forecasting

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Communication and networking technologies for UAVs: A survey

arXiv

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arXiv 2020年

作者： Sharma, Abhishek Vanjani, Pankhuri Paliwal, Nikhil Wijerathna Basnayaka, Chathuranga M. Jayakody, Dushantha Nalin K. Wang, Hwang-Cheng Muthuchidambaranathan, P. Dept. of Electronics and Communication Engineering LNM Institute of Information and Technology Jaipur India Centre for Telecommunication Research School of Engineering Sri Lanka Technological Campus Sri Lanka School of Computer Science and Robotics National Research Tomsk Polytechnic University Russia Department of Electronic Engineering National Ilan University Yilan Taiwan Department of Electronic and Communications Engineering National Institute of Technology Trichy India

With the advancement in drone technology, in just a few years, drones will be assisting humans in every domain. But there are many challenges to be tackled, communication being the chief one. This paper aims at providing insights into the latest UAV (Unmanned Aerial Vehicle) communication technologies through investigation of suitable task modules, antennas, resource handling platforms, and network architectures. Additionally, we explore techniques such as machine learning and path planning to enhance existing drone communication *** and optimization techniques for ensuring long−lasting and secure communications, as well as for power management, are ***, applications of UAV networks for different contextual uses ranging from navigation to surveillance, URLLC (Ultra-reliable and low−latency communications), edge computing and work related to artificial intelligence are examined. In particular, the intricate interplay between UAV, advanced cellular communication, and internet of things constitutes one of the focal points of this paper. The survey encompasses lessons learned, insights, challenges, open issues, and future directions in UAV communications. Our literature review reveals the need for more research work on drone−to−drone and drone−to−device communications. Copyright © 2020, The Authors. All rights reserved.

关键词： 5G mobile communication systems

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Communication and networking technologies for UAVs: A survey

TechRxiv

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TechRxiv 2020年

作者： Sharma, Abhishek Vanjani, Pankhuri Paliwal, Nikhil Wijerathna Basnayaka, Chathuranga M. Jayakody, Dushantha Nalin K. Wang, Hwang-Cheng Muthuchidambaranathan, P. Dept. of Electronics and Communication Engineering The LNM Institute of Information and Technology Jaipur India Centre for Telecommunication Research School of Engineering Sri Lanka Technological Campus Sri Lanka School of Computer Science and Robotics National Research Tomsk Polytechnic University Russia Department of Electronic Engineering National Ilan University Yilan Taiwan Department of Electronic and Communications Engineering National Institute of Technology Trichy India

关键词： Wireless networks

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A New, Reconfigurable Circuit Offering Functionality of AND and OR Logic Gates for Use in Algorithms Implemented in Hardware

A New, Reconfigurable Circuit Offering Functionality of AND ...

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International Conference on Microelectronics, MIEL

作者： Tomasz Talaśka Rafał Długosz Tatjana Nikolić Goran Nikolić Tomasz Stefanśki Michał Długosz Michał Talaśka Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Bydgoszcz Poland Aptiv Services Poland Kraków Poland Faculty of Electronic Engineering University of Niš Niš Serbia Faculty of Electronics Telecommunications and Informatics Gdanśk Univeristy of Technology Gdanśk Poland Faculty of Control Robotics and Electrical Engineering Poznan University of Technology Poznan Poland Complex of Electronics Schools Bydgoszcz Poland

The paper presents a programmable (using a 1-bit signal) digital gate that can operate in one of two OR or AND modes. A circuit of this type can also be implemented using conventional logic gates. However, in the case of the proposed circuit, compared to conventional solutions, the advantage is a much smaller number of transistors necessary for its implementation. Circuit is also much faster than its conventional counterpart. The logic gate was implemented in the 180nm CMOS technology and verified using Hspice simulations. There are many possible applications for this gate, mostly in artificial intelligence and pattern recognition algorithms implemented at the transistor level.

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User association, power control and channel access schemes for two-tier macro-femto networks: CDF of SINR analysis

TechRxiv

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TechRxiv 2021年

作者： Ghosh, Joydev Gupta, Akhil Haci, Huseyin Jako, Zoltan School of Computer Science and Robotics National Research Tomsk Polytechnic University Tomsk Russia School of Electronics and Electrical Engineering Lovely Professional University Punjab Kapurthala India Department of Electrical and Electronics Near East University Mersin 10 Turkey BroadBit Hungary Kft Hungary

In the rapid development of wireless communications Femtocells provide tremendous improvement in coverage and quality of service for users. Macro-Femto based networks are envisioned to be the de-facto solution for providing ultrahigh speed communications in next generation mobile wireless networks. This paper studies two-tier Macro-Femto networks and proposes a collection of novel technologies to address the interference problems. First, a novel user association scheme is proposed that aims to optimize the load among Femto base stations (FBSs). Second, a near-optimal ergodic search algorithm is proposed to regulate the power consumption at Macro base stations (MBSs) and improve energy efficiency. Third, a channel access mechanism is proposed for FBSs that aims to minimize inter-tier interference. For the proposed system, CDF of SINR is derived and used for performance investigation. Simulation results show that the proposed system can significantly outperform a popular, conventional cognitive radio based system for all the considered simulation scenarios. © 2021, CC BY.

关键词： Power control

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Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

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7th Annual International Conference on Electrical engineering/electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Suteeratanapirom, Wijin Rattanawaorahirankul, Rapeepong Laosapan, Chutima Sanposh, Peerayot Chayopitak, Nattapon Tungpimolrut, Kanokvate Kunieda, Hiroaki TAIST Tokyo Tech ICTES Program Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-65 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward Controller (FFC-PFC) are presented.

关键词： Friction

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Parameter identification of a Linear Permanent Magnet motor using Particle Swarm Optimization

Parameter identification of a Linear Permanent Magnet motor ...

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International Conference on Electrical engineering/electronics, computer, Telecommunications and Information Technology, ECTI-CON

作者： Tithiwat Therdbankerd Peerayot Sanposh Nattapon Chayopitak Hideaki Fujita Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Klong Luang Pathum Thani Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Meguro Tokyo Japan

ISBN: (纸本)9781424456062;9789746724913

Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.

关键词： Parameter estimation Permanent magnet motors Particle swarm optimization Synchronous motors Signal processing robotics and automation Chirp Intelligent robots Control systems Laboratories

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A unified leader-follower scheme for mobile robots with uncalibrated on-board camera

A unified leader-follower scheme for mobile robots with unca...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Dejun Guo Hesheng Wang Weidong Chen Ming Liu Zeyang Xia Kam K. Leang DARC (Design Automation Robotics & Control) Lab University of Utah Robotics Center Salt Lake City Utah USA State Key Laboratory of Robotics and System (HIT) Key Laboratory of System Control and Information Processing Ministry of Education of China Department of Automation Shanghai Jiao Tong University Shanghai China Department of Electronics and Computer Engineering Hong Kong University of Science and Technology Hong Kong China Institute of Biomedical and Health Engineering Chinese Academy of Sciences Shenzhen China

This paper studies the problem of image-based leader-follower formation control for mobile robots, where the controller is designed independently of the leader's motion. An adaptive control scheme, which is suitable for both omnidirectional and perspective cameras, is proposed. The proposed approach avoids the need for accurate calibration of the extrinsic parameters of the omnidirectional camera as well as the intrinsic and extrinsic parameters of perspective camera. Additionally, the coefficients of the plane where the feature point moves relative to the camera frame can be uncertain. These uncertain constant parameters are estimated using an adaptive estimator. Uniform Semi-global Practical Asymptotic Stability (USPAS) of the system is shown using the Lyapunov approach. Experimental results are presented to demonstrate the effectiveness of the proposed control scheme.

关键词： Cameras Robot vision systems Kinematics Mobile robots Calibration Automation

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Contact Consistent Disturbance Estimation for Quadruped Robots

Contact Consistent Disturbance Estimation for Quadruped Robo...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Hasan Can Özden Emre Tanfener Hasan Eftun Orhon Ömer Tarık Banuş Uluç Saranlı Mert Ankaralı Ali Emre Turgut Mechanical Engineering Department Middle East Technical University Ankara Turkey Defense Systems Technologies Division Aselsan Inc Ankara Turkey Center for Robotics and AI Middle East Technical University Ankara Turkey Computer Engineering Department Middle East Technical University Ankara Turkey Electrical and Electronics Engineering Department Middle East Technical University Ankara Turkey

ISBN: (数字)9798350358513

ISBN: (纸本)9798350358520

Quadrupedal locomotion in environments without visual aid presents significant challenges in achieving automation capabilities. Often relying solely on IMU sensors and proprioceptive feedback from motors due to limited visual perception, understanding the robot’s interaction with its environment becomes crucial for safe and efficient navigation. This paper presents a novel approach for estimating external forces applied to a quadrupedal robot’s body, a critical aspect of its interaction with the environment. Our method integrates generalized momentum methods, contact constraints, and inertial measurement unit (IMU) data to accurately estimate these external forces. By using these diverse sources of information, the output of this work can enable navigation algorithms to enhance the robot’s ability to navigate complex environments, improving stability and adaptability. Simulation studies and experimental validations demonstrate the effectiveness of the proposed method in real-world scenarios, highlighting its potential for advancing quadrupedal locomotion in unfamiliar terrains where visual aids are limited.

关键词： Visualization Measurement units Automation Heuristic algorithms Loading Dynamics Estimation Inertial navigation Quadrupedal robots Collision avoidance

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Robust lane marking detection algorithm using drivable area segmentation and extended SLT

arXiv

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arXiv 2019年

作者： Ozgunalp, Umar Fan, Rui Cheng, Shanshan Sun, Yuxiang Zuo, Weixun Zhu, Yilong Xue, Bohuan Zheng, Linwei Liang, Qing Liu, Ming Electrical and Electronics Engineering Cyprus International University North Cyprus Turkey Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Hangzhou ATG Intelligent Technology Co. Ltd. Hangzhou China Guolu Gaoke Engineering Technology Institute Co. Ltd. Beijing China Robotics and Multiperception Laboratory Robotics Institute Hong Kong University of Science and Technology Hong Kong Hong Kong

In this paper, a robust lane detection algorithm is proposed, where the vertical road profile of the road is estimated using dynamic programming from the v-disparity map and, based on the estimated profile, the road area is segmented. Since the lane markings are on the road area and any feature point above the ground will be a noise source for the lane detection, a mask is created for the road area to remove some of the noise for lane detection. The estimated mask is multiplied by the lane feature map in a bird's eye view (BEV). The lane feature points are extracted by using an extended version of symmetrical local threshold (SLT), which not only considers dark light dark transition (DLD) of the lane markings, like (SLT), but also considers parallelism on the lane marking borders. The segmentation then uses only the feature points that are on the road area. A maximum of two linear lane markings are detected using an efficient 1D Hough transform. Then, the detected linear lane markings are used to create a region of interest (ROI) for parabolic lane detection. Finally, based on the estimated region of interest, parabolic lane models are fitted using robust fitting. Due to the robust lane feature extraction and road area segmentation, the proposed algorithm robustly detects lane markings and achieves lane marking detection with an accuracy of 91% when tested on a sequence from the KITTI dataset. Copyright © 2019, The Authors. All rights reserved.

关键词： Dynamic programming

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