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Article
Engineering, Electrical & Electronic
Noradin Ghadimi et al.
Summary: The construction of hybrid power plants with renewable resources can bring significant economic benefits if it is evaluated economically and technically. This study presents a novel approach for designing a combined solar/battery/diesel system in China. The system aims to reduce the use of diesel generators and achieve optimal CO2 emissions, load shortage probability, and system cost. The proposed approach outperforms existing methods, as demonstrated through simulation and sensitivity analysis.
IET GENERATION TRANSMISSION & DISTRIBUTION
(2023)
Article
Engineering, Environmental
Le Chang et al.
Summary: This article provides a comprehensive assessment and optimization of a new biomass-driven cogeneration plant, which is based on biomass gasification, thermodynamic power generation cycles, and a compressed air energy storage system. The optimized plant shows improved exergy efficiency and reduced exergy cost rate. The proposed biomass-driven power plant has competitive features of avoiding carbon tax payment and achieving high electricity production in peak consumption period, and also exhibits reasonable economic feasibility.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Green & Sustainable Science & Technology
Xuanxia Guo et al.
Summary: This study introduces a novel technique to enhance the power quality of grid-connected PEM fuel cells, using a modified pelican optimization algorithm for controller optimization. The study finds that the current-voltage relationship in PEMFCs follows a logarithmic pattern, but becomes linear in the presence of ohmic overvoltage. The MPO algorithm outperforms other methods in terms of efficiency and voltage stability.
Article
Construction & Building Technology
Ligui Zhu et al.
Summary: Although LAESS has the advantages of higher energy density, no geographical limitation, and relatively low overall cost, its low round-trip efficiency and technological immaturity are the main drawbacks. A new energy process integrating a wind farm, Kalina cycle, and LAESS technology was developed to address these issues. The integrated process was investigated from a thermo-economic and optimization perspective, and the conceptual design of the wind farm was also developed. The optimization results showed improvements in electric round-trip efficiency, cost rate, and project payback time compared to the non-optimization state, indicating the potential of this integrated system.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Engineering, Biomedical
Sukru Demir et al.
Summary: The study proposed an intelligent assistant system for automated detection of knee ligament injuries, achieving high classification accuracy on MRI datasets.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Sefa Key et al.
Summary: This study proposes a new method for the automatic detection of meniscal tear and ACL injuries using magnetic resonance imaging and deep feature extraction, achieving high accuracy.
JOURNAL OF DIGITAL IMAGING
(2022)
Article
Chemistry, Analytical
Pavel Trojovsky et al.
Summary: This paper introduces a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) to solve optimization problems in various scientific disciplines. By simulating the natural behavior of pelicans during hunting, the POA demonstrates high performance in approaching optimal solutions for unimodal functions and exploring the main optimal area for multimodal functions. Comparison with eight well-known metaheuristic algorithms confirms the competitiveness of POA in providing optimal solutions for optimization problems.
Article
Energy & Fuels
Jiali Zhang et al.
Summary: This study presents a new optimized design of a hybrid AlexNet/Extreme Learning Machine (ELM) network for an optimal identification tool for Proton-exchange membrane fuel cells (PEMFCs). The proposed hybrid AlexNet/ELM is aimed at reducing the error between empirical and evaluated output voltages, and a modified version of the African Vulture Optimization (MAVO) Algorithm is suggested to enhance its model formation. The method is validated through a benchmark case study and compared with standard AlexNet/ELM, showing better confirmation with the experimental data.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Energy & Fuels
Liang Chen et al.
Summary: The present study proposes an optimal design of combined cooling, heating, and power systems (CCHP) for a watersport complex, aiming to reduce energy losses in economic, energy, and environmental terms.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Orthopedics
Yusuke Minamoto et al.
Summary: This study evaluated the accuracy of a convolutional neural network (CNN) system in diagnosing anterior cruciate ligament (ACL) ruptures through analyzing knee magnetic resonance images (MRI). The results showed that the trained CNN had a comparable accuracy to that of experienced human readers.
BMC MUSCULOSKELETAL DISORDERS
(2022)
Article
Energy & Fuels
Gao Bo et al.
Summary: This study proposes an optimal hybrid renewable energy system (HRES) arrangement for electrifying a remote area in Turkey. The proposed system includes a photovoltaic system, wind turbine, and fuel cell. The method used an Amended version of the DragonFly optimizer for system sizing and achieved lower costs and higher reliability compared to other methods.
ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS
(2022)
Article
Chemistry, Physical
Haibing Guo et al.
Summary: This study presents a method for optimal unknown parameters identification of a Solid Oxide Fuel Cell (SOFC) using a modified metaheuristic algorithm. The results show the superiority of the suggested methodology in model parameter identification of the SOFC compared to other latest approaches.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Chemistry, Physical
Fude Duan et al.
Summary: There is a growing trend for using fuel cell systems in electricity generation systems due to their advantages such as high efficiency, lack of pollution, desirable dynamic response, and reliability. This article presents a new method for optimal identification of the proton exchange membrane fuel cell (PEMFC) model, using an improved version of the Crow Search optimizer (ICSO) to reduce the sum of squared error between the observed output voltage and the output voltage of the PEMFC stack. The results demonstrate that the suggested ICSO algorithm outperforms other comparative algorithms in estimating the PEMFC model.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2022)
Article
Medicine, General & Internal
Kavita Joshi et al.
Summary: Anterior cruciate ligament (ACL) tear is a common sports injury in athletes such as football players, volleyball players, sprinters, and runners. Detecting ACL tear has been challenging due to the complex structure of knee ligaments. This paper proposes a new approach using a three-layered compact parallel deep convolutional neural network (CPDCNN) to improve the feature distinctiveness in knee MRI images for ACL tear detection. The proposed CPDCNN achieves superior performance compared to existing state-of-the-art methods, with an overall accuracy of 96.60%, recall rate of 0.9668, precision of 0.9654, and F1 score of 0.9582.
Article
Mathematical & Computational Biology
Xiuzhen Cai et al.
Summary: Breast cancer is a common gynecological disease, and early diagnosis is crucial. This paper proposes a method using image processing techniques and a pipeline structure for the diagnosis of breast cancer, which includes improving image quality, segmenting the image, extracting feature images, and classifying the features using convolutional neural network and a metaheuristic algorithm. Results show high accuracy, sensitivity, and specificity in diagnosing breast cancer cases.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
(2021)
Article
Green & Sustainable Science & Technology
Saeideh Mahdinia et al.
Summary: This study introduces an economical-functional design for a polymer electrolyte membrane fuel cell system by minimizing construction costs through optimization and cost modeling, with a focus on current density, stoichiometric coefficient, pressure, and temperature as optimization parameters. The newly improved CCAB optimizer achieves the best optimal cost compared to the standard CAB optimizer and genetic algorithm.
Article
Computer Science, Artificial Intelligence
Wei Zeng et al.
ARTIFICIAL INTELLIGENCE REVIEW
(2020)
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Radiology, Nuclear Medicine & Medical Imaging
Christoph Germann et al.
INVESTIGATIVE RADIOLOGY
(2020)
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Radiology, Nuclear Medicine & Medical Imaging
Peter D. Chang et al.
JOURNAL OF DIGITAL IMAGING
(2019)
Letter
Computer Science, Information Systems
Zhihua Cui et al.
SCIENCE CHINA-INFORMATION SCIENCES
(2019)
Proceedings Paper
Computer Science, Theory & Methods
M. Hanif Razali et al.
PROCEEDINGS OF 2019 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS AND ELECTRICAL ENGINEERING TECHNOLOGY (EEET 2019)
(2019)
Article
Computer Science, Artificial Intelligence
Mohit Jain et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2018)
Article
Computer Science, Artificial Intelligence
Wenyin Gong et al.
