Article
Engineering, Multidisciplinary
S. Jagadeesan, B. Amutha
Summary: The paper presents an enhanced support vector neural network (ESVNN) for detecting botnets, improving classification accuracy by selecting suitable traffic flow features and introducing an Artificial Flora (AF) algorithm. Simulation results show that the novel detection model achieves better accuracy and F-measure than existing prediction models.
Article
Engineering, Electrical & Electronic
Jingchun Huang, Boya Jiang, Congqian Xu, Naifu Wang
Summary: The paper proposed a SVM slipping detection method based on EWT and FE algorithm, achieving high-precision slipping detection through feature extraction and parameter optimization, with results showing excellent performance of the method.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Environmental Sciences
Feng Gao, Xueyan Shao
Summary: A novel hybrid forecasting model based on support vector machine (SVM) and improved artificial fish swarm algorithm (IAFSA) is proposed for accurate prediction of natural gas consumption (NGC), outperforming benchmark models on annual NGC data in China.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Computer Science, Theory & Methods
Xialin Zhang, Lingkun Lian, Fukang Zhu
Summary: The study improves the accuracy and automation of variogram fitting models through a hybrid algorithm, demonstrating stronger optimization ability and higher precision compared to traditional methods.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Review
Computer Science, Interdisciplinary Applications
Amjaad Alhaqbani, Heba A. Kurdi, Manar Hosny
Summary: This paper presents a comprehensive survey on fish-inspired heuristics, including artificial fish swarm algorithm (AFSA), Fish school search (FSS), and other algorithms inspired by specific fish species. The findings of the survey suggest that these algorithms still have great potential in solving complex problems and are very active in recent literature.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Article
Computer Science, Hardware & Architecture
Yosef Masoudi-Sobhanzadeh, Shabnam Emami-Moghaddam
Summary: This study proposes a machine learning-based method to predict botnets, addressing the limitations of existing methods in real-time application, functionality, and consideration of attack types. The results show that the proposed method accurately classifies data streams into relevant groups and achieves a trade-off between feature selection and prediction model performance.
Article
Green & Sustainable Science & Technology
Abdulrashid Muhammad Kabir, Mohsin Kamal, Fiaz Ahmad, Zahid Ullah, Fahad R. Albogamy, Ghulam Hafeez, Faizan Mehmood
Summary: The use of Hybrid Genetic-Artificial Fish Swarm Algorithm successfully optimizes the multi-objective Economic Load Dispatch problem, reducing fuel costs and demonstrating efficacy on five standard generating unit test systems. Additionally, the algorithm is tested on an extra-large system with 463 generating units, achieving substantial savings in fuel costs.
Article
Computer Science, Information Systems
Ruijin Wang, Xikai Pei, Juyi Zhu, Zhiyang Zhang, Xin Huang, Jiayi Zhai, Fengli Zhang
Summary: This paper proposes a model fusion-based time series forecasting method to improve the accuracy and efficiency of predictions using multivariate grey model and artificial fish swarm algorithm. Two fusion models based on data decomposition and weighted summation achieve good prediction results in different scenarios.
INFORMATION SCIENCES
(2022)
Article
Physics, Multidisciplinary
Zhe Hua, Yancai Xiao, Jiadong Cao
Summary: This study used an improved algorithm to predict misalignment faults in wind turbines, achieving minimal prediction errors and enabling advanced repair measures to reduce losses.
Correction
Computer Science, Artificial Intelligence
Ala' M. Al-Zoubi, Mohammad A. Hassonah, Ali Asghar Heidari, Hossam Faris, Majdi Mafarja, Ibrahim Aljarah
Summary: The affiliation information of authors Ali Asghar Heidari and Majdi Mafarja was mistakenly published during typesetting and has been corrected.
Article
Biochemistry & Molecular Biology
Nur Sakinah Ahmad Yasmin, Norhaliza Abdul Wahab, Fatimah Sham Ismail, Mu'azu Jibrin Musa, Mohd Hakim Ab Halim, Aznah Nor Anuar
Summary: The SVR models aim to predict the concentration of chemical oxygen demand in sequential batch reactors under high temperatures using the complex internal interaction between sludge characteristics and influent. The models were developed using a radial basis function algorithm with selected kernel parameters and optimized using particle swarm optimization and genetic algorithm. The results demonstrate the potential of SVR for simulating the complex aerobic granulation process.
Article
Multidisciplinary Sciences
Fei-Fei Li, Yun Du, Ke-Jin Jia
Summary: This paper proposes an algorithm that integrates the improved artificial fish swarm algorithm with continuous segmented Bezier curves for the path planning and smoothing of mobile robots. The algorithm addresses the low accuracy, inflection points, and long planning paths in traditional artificial fish swarm algorithms by introducing feasible solutions, step sizes based on Dijkstra's algorithm. It also overcomes convergence and degradation issues through the use of dynamic feedback horizon and adaptive step sizes. The algorithm ensures continuous paths in both orientation and curvature, achieving 100% planning accuracy in simulations and satisfying the kinematic characteristics of the mobile robot.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Electrical & Electronic
Imara Mohamed Nazar, Mustafa Aksoy
Summary: Radio frequency interference (RFI) poses a serious threat to accurate estimation of geophysical parameters via passive microwave remote sensing. This article presents a novel RFI detection algorithm that relies on information extracted from RFI-free radiometer measurements, using a one-class algorithm. The algorithm transforms raw radiometer measurements into a feature-based representation, selects the most discriminant features for interference detection, and computes optimal decision boundaries via support vector machines (SVM) using RFI-free measurements. Performance evaluation shows that the novel algorithm successfully detects RFI even at low interference-to-noise ratios.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Computer Science, Artificial Intelligence
Linyao Wang
Summary: This paper discusses the application of artificial intelligence in sports training, specifically using artificial neural networks to predict training load and enhance athletes' competitiveness. A sports training analysis system based on Browser Server is constructed, and an artificial fish swarm algorithm is applied for load prediction. Data acquisition devices, such as sensors, are used to obtain key indicators in sports training, which are combined with computational results to define the independent variable for load prediction. The optimized artificial neural network and extracted load characteristics are integrated with the prediction equation to produce the final prediction result.
Article
Multidisciplinary Sciences
Linfan Liu, Huajun Zhang, Yinshi Bo, Boyu Chen, Jinfu Du, Yixin Su
Summary: This study proposes an improved artificial fish swarm algorithm (IAFSA) to provide optimal evacuation routes for passengers when a ship is on fire. By simulating the fire scene and improving the algorithm, the optimal path planning for ship evacuation is achieved. The Visualized Evacuation Guidance System (VEGS) is developed to provide the optimal route, avoiding detours and improving efficiency.
ADVANCED THEORY AND SIMULATIONS
(2023)
