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- review-articleJuly 2024
A review of expert hybrid and co-estimation techniques for SOH and RUL estimation in battery management system with electric vehicle application
- Turki Alsuwian,
- Shaheer Ansari,
- Muhammad Ammirrul Atiqi Mohd Zainuri,
- Afida Ayob,
- Aini Hussain,
- M.S. Hossain Lipu,
- Adam R.H. Alhawari,
- A.H.M. Almawgani,
- Saleh Almasabi,
- Ayman Taher Hindi
Expert Systems with Applications: An International Journal (EXWA), Volume 246, Issue CJul 2024https://doi.org/10.1016/j.eswa.2023.123123AbstractTo improve the functionality and efficiency of electric vehicles (EVs), the smart battery management system (BMS) is essential. The accurate estimation of the state of health (SOH) and remaining useful life (RUL) in BMS enhance battery safety, ...
- research-articleJuly 2024
Intrusion detection method based on improved social network search algorithm
Computers and Security (CSEC), Volume 140, Issue CMay 2024https://doi.org/10.1016/j.cose.2024.103781AbstractThe network security problem in today's world is becoming more and more prominent, and intrusion detection as a branch in the field of network security has been developed tremendously. At present, back propagation (BP) neural network is widely ...
- articleFebruary 2024
A Noval Approach for Object Recognition Using Decision Tree Clustering by Incorporating Multi-Level BPNN Classifiers and Hybrid Texture Features
International Journal of Information Retrieval Research (IJIRR-IGI), Volume 14, Issue 1Feb 2024, Pages 1–31https://doi.org/10.4018/IJIRR.338394This work proposes a novel approach to object recognition, particularly for human faces, based on the principle of human cognition. The suggested approach can handle a dataset or problem with a large number of classes for classification more effectively. ...
- research-articleApril 2024
Performance evaluation of higher education management under the background of knowledge management
International Journal of Web Engineering and Technology (IJWET), Volume 19, Issue 12024, Pages 88–105https://doi.org/10.1504/ijwet.2024.138120In view of the shortcomings of the accuracy and objectivity of the current higher education management performance evaluation methods under the background of KM, this paper studied and constructed the education management performance evaluation model. On ...
- research-articleFebruary 2024
Modular stochastic configuration network based prediction model for NOx emissions in municipal solid waste incineration process
Engineering Applications of Artificial Intelligence (EAAI), Volume 127, Issue PAJan 2024https://doi.org/10.1016/j.engappai.2023.107315AbstractThe accurate prediction of the nitrogen oxides (NOx) emissions is extremely important for pollutant control in municipal solid waste incineration (MSWI) process. Modular neural network (MNN) provides a support for predicting NOx emissions to ...
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- research-articleFebruary 2024
A hybrid electricity load prediction system based on weighted fuzzy time series and multi-objective differential evolution
Applied Soft Computing (APSC), Volume 149, Issue PBDec 2023https://doi.org/10.1016/j.asoc.2023.111007AbstractWith advances in science and technology, the demand for electricity is increasing dramatically. Consequently, reliable short-term power load prediction is critical to ensure the safety, efficiency, and cost-effectiveness of electricity grids. ...
Highlights- Propose a novel hybrid forecasting model based on fuzzy theory.
- Apply fuzzy theory to electricity load forecasting.
- The proposed model outperforms 6 comparison models for power load prediction.
- The proposed hybrid model ...
- research-articleFebruary 2024
A simplified coronary model for diagnosis of ischemia-causing coronary stenosis
- Yili Feng,
- Bao Li,
- Ruisen Fu,
- Yaodong Hao,
- Tongna Wang,
- Huanmei Guo,
- Junling Ma,
- Gerold Baier,
- Haisheng Yang,
- Quansheng Feng,
- Liyuan Zhang,
- Youjun Liu
Computer Methods and Programs in Biomedicine (CBIO), Volume 242, Issue CDec 2023https://doi.org/10.1016/j.cmpb.2023.107862Highlights- The presented approach provides an accurate and time-efficient tool for computational fractional flow reserve.
- Hyperemia aortic pressure as the inlet boundary condition improves the accuracy of the model.
- The stenosis resistance ...
The functional assessment of the severity of coronary stenosis from coronary computed tomography angiography (CCTA)-derived fractional flow reserve (FFR) has recently attracted interest. However, existing algorithms run ...
- research-articleOctober 2023
Assessment of financial risk pre-alarm mechanism based on financial ecosystem using BPNN and genetic algorithm
Soft Computing - A Fusion of Foundations, Methodologies and Applications (SOFC), Volume 27, Issue 24Dec 2023, Pages 19265–19279https://doi.org/10.1007/s00500-023-09317-zAbstractEnhancing the financial ecosystem encourages financial reform, stability, and the achievement of all-encompassing and sustainable development. Financial risk assessment is essential, because it affects not only a company's development but also the ...
- research-articleOctober 2023
Deep learning in food category recognition
- Yudong Zhang,
- Lijia Deng,
- Hengde Zhu,
- Wei Wang,
- Zeyu Ren,
- Qinghua Zhou,
- Siyuan Lu,
- Shiting Sun,
- Ziquan Zhu,
- Juan Manuel Gorriz,
- Shuihua Wang
Highlights- We analysed over 350 references from all well-famed databases.
- We provided a ...
Integrating artificial intelligence with food category recognition has been a field of interest for research for the past few decades. It is potentially one of the next steps in revolutionizing human interaction with food. The modern ...
- review-articleJune 2023
Financial applications of machine learning: A literature review
Expert Systems with Applications: An International Journal (EXWA), Volume 219, Issue CJun 2023https://doi.org/10.1016/j.eswa.2023.119640AbstractThis systematic literature review analyses the recent advances of machine learning and deep learning in finance. The study considers six financial domains: stock markets, portfolio management, cryptocurrency, forex markets, financial ...
- research-articleMarch 2023
Application of GA-BPNN on estimating the flow rate of a centrifugal pump
Engineering Applications of Artificial Intelligence (EAAI), Volume 119, Issue CMar 2023https://doi.org/10.1016/j.engappai.2022.105738AbstractPumps consume nearly 8% of global electricity as the essential equipment for liquid transportation. A practical method for improving centrifugal pump energy efficiency is accurately predicting and controlling the pump operation status. ...
- review-articleMarch 2023
Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges
Applied Soft Computing (APSC), Volume 136, Issue CMar 2023https://doi.org/10.1016/j.asoc.2023.110066AbstractGeotechnical reliability analysis provides a novel way to rationally take the underlying geotechnical uncertainties into account and evaluate the stability of geotechnical structures by failure probability (or equivalently, reliability ...
Highlights- A state-of-the-art review of ML in geotechnical reliability analysis applications.
- research-articleMarch 2024
Training Learning Weights of Elman Neural Network Using Salp Swarm Optimization Algorithm
- Qaedah Ali Musaeed Naji Mahdi,
- Maria Ali,
- Muhammad Nouman Atta,
- Abdullah Khan,
- Saima Anwar Lashari,
- Dzati Athiar Ramli
Procedia Computer Science (PROCS), Volume 225, Issue C2023, Pages 1974–1986https://doi.org/10.1016/j.procs.2023.10.188AbstractElman Neural Network (ENN) is one of the most common type of recurrent neural network (RNN). It is frequently applied to numerous applications such as classification and predication. However, the ENN model, suffers from serious flaws like network ...
- research-articleDecember 2023
Application research of BP neural network PID in control system of heat exchange station
Journal of Computational Methods in Sciences and Engineering (JOCMSE), Volume 23, Issue 62023, Pages 2851–2866https://doi.org/10.3233/JCM-226972In the direction of better resolution of time lag, nonlinearity and uncertainty in the heating system, a BPNN-PID (BP neural network PID) controller is proposed in this paper. A complete heating auto-control system is designed with the experimental ...
- research-articleDecember 2023
A comprehensive evaluation method of heat source tower heat pump applicability considering regional climate differences
Journal of Computational Methods in Sciences and Engineering (JOCMSE), Volume 23, Issue 62023, Pages 2879–2892https://doi.org/10.3233/JCM-226957The heat source tower heat pump system is widely used in large and medium-sized air conditioning systems due to its good energy-saving advantages. However, there is no relatively reasonable evaluation system for the applicability of heat source tower ...
- research-articleJanuary 2023
An adaptive indoor localization model based on Cauchy-PSO optimized BPNN
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 45, Issue 12023, Pages 1015–1027https://doi.org/10.3233/JIFS-231082Received Signal Strength Indication (RSSI) fluctuates with the change of indoor noise, resulting in a large positioning error of the trained Back Propagation Neural Network (BPNN). An adaptive indoor positioning model based on Cauchy particle swarm ...
- research-articleJanuary 2023
Application of chorus teaching model for pedagogical quality assessment on software engineering skills teaching
International Journal of Web Engineering and Technology (IJWET), Volume 18, Issue 32023, Pages 273–289https://doi.org/10.1504/ijwet.2023.133624Currently, many software engineering students lack skills at a professional level. To address this issue, a chorus teaching quality evaluation model is constructed and improved to enhance software engineering students' understanding and mastery of ...
- research-articleDecember 2022
Improving multi-step ahead tourism demand forecasting: A strategy-driven approach
Expert Systems with Applications: An International Journal (EXWA), Volume 210, Issue CDec 2022https://doi.org/10.1016/j.eswa.2022.118465Highlights- Strategies of previous tourism literature are summarized.
- A meticulous review ...
Previous researches have proposed five strategies to deal with complex multi-step ahead forecasting tasks. However, these strategies have not received much attention in the field of tourism research and the performance of them is still ...
- ArticleNovember 2022
An Effective Insider Threat Detection Apporoach Based on BPNN
Wireless Algorithms, Systems, and ApplicationsNov 2022, Pages 231–243https://doi.org/10.1007/978-3-031-19208-1_20AbstractWith the increasing number of insider threat incidents, insider threat has become one of the most serious network security problems. Currently, the large volume of user data generated by various network systems and devices is difficult to analyze, ...
- research-articleOctober 2022
Deterministic and probabilistic ship pitch prediction using a multi-predictor integration model based on hybrid data preprocessing, reinforcement learning and improved QRNN
Advanced Engineering Informatics (ADEI), Volume 54, Issue COct 2022https://doi.org/10.1016/j.aei.2022.101806Highlights- Propose a deterministic and probabilistic ship pitch forecasting system.
- Develop a denoising-decomposition data preprocessing strategy.
- Reinforcement learning are used to achieve multi-predictor integrated prediction.
- Use the ...
The deterministic and probabilistic prediction of ship motion is important for safe navigation and stable real-time operational control of ships at sea. However, the volatility and randomness of ship motion, the non-adaptive nature of single ...