Efficient side lobe level reduction technique for planar antenna arrays by Shimaa M Amer, Ahmed M. Elkhawaga, Ashraf A.M. Khalaf, Amr H. Hussein

“…This paper presents a novel array synthesis technique based on the virtual antenna array (VAA) concept for side lobe level (SLL) reduction of uniform planar antenna arrays (UPAA). …”
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Hybrid statistical-algorithmic approach using the frog algorithm to optimize blast patterns for reducing blast vibrations by Abbas Khajouei Sirjani, Farhang Sereshki, Mohammad Ataei, Manoj Khandelwal, Hojatollah Mohammadi Anayi, Seyed Mohammad Mehdi Mousavi Nasab, Mohammad Amiri Hosseini

“…This study introduces an innovative approach to predict and mitigate blast-induced vibrations by optimizing blast patterns. …”
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Fully-Gated Denoising Auto-Encoder for Artifact Reduction in ECG Signals by Ahmed Shaheen, Liang Ye, Chrishni Karunaratne, Tapio Seppänen

“…The significantly reduced model size, 61% to 73% reduction, compared with the state-of-the-art algorithm, and the inference speed of the FGDAE model provide evident benefits in various practical applications. …”
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An Adaptive Maximum Power Output Sustaining System for a Photovoltaic Power Plant Based on a Robust Predictive Control Approach by I. Elzein, Yu. N. Petrenko

“…This paper makes an emphasis on model predictive controller as a control method for controlling the maximum power point tracking through the utilization of the well-known algorithm namely the Perturb and Observe technique. …”
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An integrated cloud system based serverless android app for generalised tractor drawbar pull prediction model using machine learning by Harsh Nagar, Rajendra Machavaram, Ambuj, Peeyush Soni, Subhajit Saha, T. Subhash Chandra Bose

Subjects: “…Tractor drawbar pull prediction…”
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Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

“…To effectively address the spatial–temporal feature mining problem in short-term traffic flow prediction for complex road networks, a new method that combined the Pearson correlation coefficient (PCC) and improved genetic algorithm to optimize the long short-term memory model (IGA-LSTM) was constructed. …”
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Dimensionality Reduction Optimization of High Subsonic Unmanned Aerial Vehicles Intake by Zeqi QI, Zheng GUO, Suqi CHEN, Ke YU

“…To address the issue of excessive optimization dimensions caused by simultaneously altering both shapes, sensitivity analysis and principal component analysis (PCA) were applied, followed by dimensionality reduction using the Hicks-Henne function. A Kriging model was then used for fitting, and a genetic algorithm was employed to search for optimal solutions with total pressure recovery coefficient and steady-state outlet distortion index as the objectives. …”
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OFDM-NOMA Error Rate Reduction Using Direct Data Detection by Tasneem Assaf, Arafat Al-Dweik, Anshul Pandey, Jean-Pierre Giacalone

“…The computational complexity of <inline-formula> <tex-math notation="LaTeX">$D^{3}$ </tex-math></inline-formula> depends on the sequence length, and a significant complexity reduction is achievable using the Viterbi algorithm.…”
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AI enhanced diagnostic accuracy and workload reduction in hepatocellular carcinoma screening by Rui-Fang Lu, Chao-Yin She, Dan-Ni He, Mei-Qing Cheng, Ying Wang, Hui Huang, Ya-Dan Lin, Jia-Yi Lv, Si Qin, Ze-Zhi Liu, Zhi-Rong Lu, Wei-Ping Ke, Chao-Qun Li, Han Xiao, Zuo-Feng Xu, Guang-Jian Liu, Hong Yang, Jie Ren, Hai-Bo Wang, Ming-De Lu, Qing-Hua Huang, Li-Da Chen, Wei Wang, Ming Kuang

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Streamlining ICI Transformed as a Nonnegative System by David Hyland

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Generative design recommendations for the historical Mardiṅ High School and Gaziṗaşa Primary School buildings, Turkey by Mizgin Gökçe Salık, Fatma Demet Aykal

Subjects: “…genetic algorithm…”
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A Multi-Area Software-Defined Vehicular Network Control Plane Deployment Mechanism Oriented to Traffic Prediction by Hao Li, Hongming Li, Yuqing Ji, Ziwei Wang

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Multipath Estimation of Navigation Signals Based on Extended Kalman Filter–Genetic Algorithm Particle Filter Algorithm by Jie Li, Xiyan Sun, Yuanfa Ji, Jingjing Li, Long Li

“…This method utilizes the EKF to calculate the mean and covariance of samples using the latest observation information, providing a more reasonable proposal density for particle filtering and enhancing the accuracy of state prediction. Simultaneously, by introducing the crossover and mutation mechanisms of the adaptive genetic algorithm, particles are continuously evolved during the resampling process, preventing them from falling into local extrema. …”
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Unified Mathematical Framework for Slicing and Symmetry Reduction over Event Structures by Xinyan Gao, Yingcai Ding, Wenbo Liu, Kaidi Zheng, Siyu Huang, Ning Zhou, Dakui Li

“…We propose sliced and symmetric quotient reduction models of event structures and present their corresponding algorithms. …”
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Research on parameter selection and optimization of C4.5 algorithm based on algorithm applicability knowledge base by Yiyan Zhang, Yi Xin, Qin Li

“…Abstract Given that the decision tree C4.5 algorithm has outstanding performance in prediction accuracy on medical datasets and is highly interpretable, this paper carries out an optimization study on the selection of hyperparameters of the algorithm in order to achieve fast and accurate optimization of the algorithm model. …”
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Development of a justification process for selecting alternative risk reduction measures by Pavlo Saik, Vitalii Tsopa, Olena Yavorska, Serhii Cheberiachko, Mariia Brezitska, Andrii Yavorskyi, Vasyl Lozynskyi, Vasyl Lozynskyi

“…An eleven-step risk management process was designed to determine alternative preventive measures, characterized by feedback loops that enable the selection of optimal risk reduction strategies.ResultsThis study presents algorithms for solving three types of decision-making problems regarding the selection of combinations of preventive measures from a defined set of alternatives. …”
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Maintenance Time Prediction for Predictive Maintenance of Ship Engines by Seunghun Lim, Jungmo Oh, Jinkyu Park

“…However, due to the nature of ship operation, data collection is difficult, and most studies focus on fault detection, hindering the application of predictive maintenance to ships. In this study, we developed a maintenance time prediction algorithm using the revision generator engine condition criterion (RGCCV) value and the cylinder exhaust gas temperature, as developed in a previous study for marine generator engines. …”
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Hierarchical Clustering as a Dimension Reduction Technique for Markowitz Portfolio Optimization by Anatoliy Y. Poletaev, Elena M. Spiridonova

“…Clustering is widely used in computer science, a lot of algorithms and computational methods have been developed for it. …”
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Adaptive temporal compression for reduction of computational complexity in human behavior recognition by Haixin Huang, Yuyao Wang, Mingqi Cai, Ruipeng Wang, Feng Wen, Xiaojie Hu

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Noise Reduction Methods in the Vehicle Industry: Using Vibroacoustic Simulation for Sustainability by Krisztián Horváth, Ambrus Zelei

“…Key tasks involve electromagnetic force analysis in the drivetrain, structural vibration simulations, and noise reduction strategy optimisation using machine learning algorithms to reduce the reliance on physical prototypes. …”
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