Article
Computer Science, Artificial Intelligence
Qiang Zhang, Weipeng Zhang, Feng Miao
Summary: The physical health of college students is crucial for societal development, but they often lack suitable exercise programs due to competition and time constraints. This paper proposes an improved K-means algorithm to classify students' physical health data, recommending better exercise programs and enhancing the efficiency of physical health management.
APPLIED ARTIFICIAL INTELLIGENCE
(2023)
Article
Energy & Fuels
Grzegorz Filo
Summary: Reducing energy consumption and increasing operational efficiency are key research topics in hydraulic system design. Recent advancements in artificial intelligence have greatly expanded hydraulic system modeling and design techniques. This article summarizes the current applications, advantages, limitations, and expected directions for further development of three leading technologies in this field: artificial neural networks, evolutionary algorithms, and fuzzy logic.
Article
Construction & Building Technology
Muhammad Usman Saeed, Zuoyu Sun, Said Elias
Summary: Control algorithms are crucial in managing earthquake forces in civil structures, with adaptive intelligent algorithms now emerging as a potential replacement for traditional model-based ones. The Brain Emotional Learning Based Intelligent Controller (BELBIC) is a recent development that is adept at handling nonlinearities and uncertainties in control systems. Studies are focusing on utilizing adaptive controllers to improve the seismic response suppression in civil structures by effectively adapting to changing conditions.
JOURNAL OF BUILDING ENGINEERING
(2022)
Review
Engineering, Industrial
Meng Zhang, Fei Tao, Ying Zuo, Feng Xiang, Lihui Wang, A. Y. C. Nee
Summary: Intelligent algorithms play a crucial role in smart manufacturing by providing optimal solutions to improve manufacturing processes. This paper comprehensively surveys and analyzes relevant literature to identify the top ten commonly used algorithms and studies their application issues and challenges. These findings are of great significance for the development and application of smart manufacturing.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Automation & Control Systems
Victor Semedo de M. Siqueira, Marco Antonio S. L. Cuadros, Celso Jose Munaro, Gustavo M. de Almeida
Summary: This paper presents a fuzzy logic-based system for preventing stuck pipe, which can identify early signs of stuck pipe and avoid its occurrence. By analyzing special features and applying machine learning techniques, the system shows high effectiveness in predicting stuck pipe and can avoid more than 92% of stuck cases.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Computer Science, Information Systems
Ouafae Benoudifa, Abderrahim Ait Wakrime, Redouane Benaini
Summary: Controller placement is a critical issue in Software-Defined Networking. This paper presents an intelligent system that uses reinforcement learning algorithm to optimize the placement of controllers. By incorporating performance metrics such as latency, load, and overhead communication into the training process, the system is able to find the optimal placement in a real network.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2023)
Article
Chemistry, Multidisciplinary
Zhifang Zhu, Yuanjie Liu, Yuling He, Wenhao Wu, Hongzhou Wang, Chong Huang, Bingliang Ye
Summary: The study focused on a high-speed lightweight parallel mechanism control system for the efficient sorting and packaging of light items in industrial production. The fuzzy PID controller optimized by genetic algorithm showed improved performance, with shorter rise time, less regulation time, and reduced steady-state error.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Interdisciplinary Applications
Zhang Chengquan, Hamidreza Aghajanirefah, Kseniya I. Zykova, Hossein Moayedi, Binh Nguyen Le
Summary: This paper employed three artificial intelligence methods to determine the compressive strength of concrete. The results showed that the artificial neural network model using the stochastic fractal search algorithm outperformed the other methods in evaluating the compressive strength of concrete.
COMPUTERS AND CONCRETE
(2023)
Review
Thermodynamics
Mohammad Ghalandari, Misagh Irandoost Shahrestani, Akbar Maleki, Mostafa Safdari Shadloo, Mamdouh El Haj Assad
Summary: The performance modeling and forecasting of heat exchangers can utilize intelligent methods, with accuracy and applicability dependent on factors such as algorithm architecture, model inputs, and system complexity. Considering influential factors in the model is crucial for producing models with the greatest accuracy, while the performance of intelligent methods is influenced by various factors.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2021)
Article
Engineering, Marine
Duc-Anh Pham, Seung-Hun Han
Summary: This paper introduces the application of a neural-fuzzy controller in marine rescue drones to enhance trajectory tracking efficiency, and conducts simulations using Matlab/Simulink for validation.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Ahmed Redha Mahlous, Houssam Mahlous
Summary: Universities face a challenge in distributing students to classes, especially for a large number of students. Timetabling is a resource-consuming task and considering student preferences is impractical. This article proposes a genetic algorithm solution that enhances performance through metaheuristic concepts and tailored genetic operators. The algorithm guarantees feasible solutions and satisfies over 90% of student preferences in complex problems.
PEERJ COMPUTER SCIENCE
(2023)
Article
Computer Science, Information Systems
Hoang-Long Dang, Sangshin Kwak, Seungdeog Choi
Summary: This study focuses on the arc faults between electric wires and proposes a diagnostic method based on current and voltage characteristics to improve the reliability and robustness of arc-fault detectors.
Article
Engineering, Chemical
Soleiman Hosseinpour, Alex Martynenko
Summary: This paper proposes a systematic design approach for an adaptive fuzzy logic controller (AFLC) with a computer vision system (CVS) in a feedback loop for intelligent drying. The AFLC is based on an artificial neural network (ANN), geno-fuzzy algorithm, and multi-objective fuzzy cost function. Fuzzy sets for moisture content and product quality are automatically generated using principal component analysis (PCA) and fuzzy clustering. The application of AFLC in shrimp drying shows advantages of unsupervised fuzzy logic control, including decreased drying time, less quality degradation, and smaller energy consumption.
Review
Chemistry, Multidisciplinary
Roman Yavich, Sergey Malev, Irina Volinsky, Vladimir Rotkin
Summary: This article introduces a deterministic AI system that serves as an alternative to neural-network-based machine learning. It highlights the benefits of rule-based AI systems in science, technology, engineering, and business, such as accuracy, correctness of design, and personalization. The system relies on design and logical imitation models rather than Big Data and knowledge bases. It utilizes deterministic reference training to improve system performance through online interaction with users, offering a unique approach to machine learning.
APPLIED SCIENCES-BASEL
(2023)
Article
Automation & Control Systems
Soumyadeep Samonto, Samarjit Kar, Sagarika Pal, Ozkan Atan, Arif Ahmed Sekh
Summary: This paper discusses an intelligent relaying scheme based on expert systems and fuzzy algorithms to control multiple loads connected to a single feeder line. Through testing and validation, the fastest coordination time was successfully achieved under the IEEE 13 Bus system.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Correction
Health Care Sciences & Services
Jana Nowakova, Michal Prilepok, Vaclav Snasel
JOURNAL OF MEDICAL SYSTEMS
(2018)
Article
Computer Science, Software Engineering
Martin Hasal, Jana Nowakova, Khalifa Ahmed Saghair, Hussam Abdulla, Vaclav Snasel, Lidia Ogiela
Summary: Chatbots are widely used in various fields, but also pose security challenges that need to be addressed to protect user privacy and data security.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2021)
Article
Chemistry, Analytical
Miroslav Pokorny, Jana Nowakova, Tomas Docekal
Summary: This paper focuses on the collaborative control of a two quadrotor system, where two quadrotors are responsible for horizontally transporting a payload. A leader-follower method is used to synchronize the motion of both quadrotors. For indoor applications, a Position Feedback Controller approach is used to control the follower quadrotor, while for outdoor applications, a Force Feedback Controller approach is implemented to handle the GPS errors. The paper also presents an adaptive admittance controller approach to minimize the horizontal position difference of the two quadrotors.
Proceedings Paper
Computer Science, Artificial Intelligence
Vojtech Uher, Jana Nowakova
Summary: The chest X-ray is a cost-effective and accurate method for diagnosing lung-related diseases. This paper focuses on using the fuzzy medical image retrieval approach for COVID-19 detection in CXR images. By applying an enhancement method, the visibility of details is improved and the sensitivity, specificity, and accuracy of the proposed method are slightly enhanced.
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS-2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Martin Hasal, Jana Nowakova, Daniel Hernandez-Sosa, Juraj Timkovic
Summary: Retinopathy of prematurity (ROP) is an ocular disease caused by abnormal retinal blood vessel growth of premature infants. Early recognition and treatment of ROP is essential, and special cameras are used to take retinal images for diagnosis. However, the quality of these images may be poor, and image enhancement methods are used to improve the accuracy of diagnosis.
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS-2022
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Pavel Kromer, Jana Nowakova
Summary: Medical imaging and image analysis play an important role in modern diagnosis and treatment, and intelligent image processing and data analysis can enhance the detection, segmentation, and understanding of medical images. However, modern image analysis methods are often computationally complex and slow to be applied. This study analyzes the performance and costs of several neural models for medical image analysis using different NVIDIA Jetson modules, focusing on lung X-ray images related to COVID-19.
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS-2021)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Arti Tiwari, Kamanasish Bhattacharjee, Millie Pant, Jana Nowakova, Vaclav Snasel
Summary: This paper aims to optimize the multi-level thresholding method for thermographic image segmentation using Differential Evolution (DE) with the Otsu's between class variance. Results were compared with other popular metaheuristics, and performance was evaluated using the Wilcoxon rank-sum test.
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS (INCOS-2021)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Jana Nowakova, Martin Hasal, Vaclav Snasel
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS - 2019
(2020)
Article
Engineering, Electrical & Electronic
Pavel Kromer, Martin Hasal, Jana Nowakova, Jana Heckenbergerova, Petr Musilek
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2020)
Proceedings Paper
Automation & Control Systems
Pavel Kromer, Martin Hasal, Jana Nowakova, Jana Heckenbergerova, Petr Musilek
2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)
(2018)
Article
Radiology, Nuclear Medicine & Medical Imaging
Lukas Knybel, Marek Penhaker, Antonino Proto, Bretislav Otahal, Jana Nowakova, Jakub Cvek, Blanka Filipova, Ali Selamat
BIOMEDICAL PHYSICS & ENGINEERING EXPRESS
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Jan Platos, Jana Nowakova, Pavel Kromer, Vaclav Snasel
ADVANCES IN INTELLIGENT NETWORKING AND COLLABORATIVE SYSTEMS, INCOS-2017
(2018)
Proceedings Paper
Computer Science, Artificial Intelligence
Pavel Kromer, Jana Nowakova
2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
(2018)