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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Dimensionality reduction in kernel-based identification of Wiener system by cyclostationary excitations by Gabriel Maik, Grzegorz Mzyk

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Noise reduction application of indoor substation based on improved acoustic BEM by Tianwen Peng, Siyu Liu, Hairuo Jin

“…Abstract Accurate calculation of noise field distribution of indoor substation is the key to noise reduction application. In this paper, the accuracy of the improved acoustic BEM numerical algorithm is verified by comparing the noise field data measured in the experiment of 110 kV indoor substation in Changsha, Hunan Province with the calculated data obtained by the improved acoustic BEM solution. …”
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Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring by Liang Guo, Hongli Gao, Haifeng Huang, Xiang He, ShiChao Li

“…Then the nonlinear dimension reduction algorithm based on deep learning is proposed to reduce the redundancy information. …”
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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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A Survey on Reduction of Energy Consumption in Fog Networks—Communications and Computations by Bartosz Kopras, Filip Idzikowski, Hanna Bogucka

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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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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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Learning path planning methods based on learning path variability and ant colony optimization by Jing Zhao, Haitao Mao, Panpan Mao, Junyong Hao

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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…These changes significantly influence the formation of predictive competence – a crucial human capacity for reasoned forecasting and decision-making under uncertainty. …”
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Predictive modeling of asthma drug properties using machine learning and topological indices in a MATLAB based QSPR study by Jalal Hatem Hussein Bayati, Abid Mahboob, Laiba Amin, Muhammad Waheed Rasheed, Abdu Alameri

“…This study utilizes MATLAB program-based algorithms to calculate topological indices and machine learning algorithms to explore their ability to predict the physio-chemical properties of asthma drugs. …”
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Fermat and Mersenne numbers in $k$-Pell sequence by B. Normenyo, S. Rihane, A. Togbe

Subjects: “…k-pell number, fermat number, mersenne number, fibonacci number, linear form in logarithms, reduction algorithm…”
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Neuroevolutionary Convolutional Neural Network Design for Low-Resolution Face Recognition by Jhon I. Pilataxi, Juan P. Perez, Claudio A. Perez, Kevin W. Bowyer

Subjects: “…Computational cost reduction…”
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Dynamic reconfiguration of the distribution systems with Load Duration Curve (LDC) model for reducing the losses and improving the voltage profile by Sana Sadeghi, Alireza Jahangiri, Ahmad Ghaderi Shamim

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Accurate and robust prediction of Amyloid-β brain deposition from plasma biomarkers and clinical information using machine learning by Jiayuan Xu, Andrew J. Doig, Sofia Michopoulou, Sofia Michopoulou, Petroula Proitsi, Petroula Proitsi, Fumie Costen, The Alzheimer's disease neuroimaging initiative

“…This study aims to develop and validate machine learning algorithms for accurately predicting brain Aβ positivity using plasma biomarkers, genetic information, and clinical data as a cost-effective alternative to PET imaging.MethodsWe analyzed 1,043 patients from the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset and validated our models on 127 patients from the Center for Neurodegeneration and Translational Neuroscience (CNTN) dataset. …”
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Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated with genetic algorithm by J.M. Zikri, M.S.M. Sani, M.F.F.A. Rashid, J. Muriban, G.S. Prayogo

“…This research examines the predictive performance of two modeling techniques—Response Surface Methodology (RSM) and an Artificial Neural Network enhanced by a Genetic Algorithm (ANN-GA)—in relation to noise emission levels from a single-cylinder diesel engine running on palm oil methyl ester (POME). …”
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Development and validation of a CT algorithm based on intratumoral necrosis and tumor morphology to predict the nuclear grade of small (2–4 cm) solid clear cell renal cell carcinoma by Jianyi Qu, Pingyi Zhu, Xianli Zhu, Xinyan Li, Wenjie Zhang, Xinhong Song, Xiaofei Wang, Chenchen Dai, Qianqian Zhang, Jianjun Zhou

“…The study aimed to develop and validate a CT algorithm for the prediction of the WHO/ISUP nuclear grade of small (2–4 cm) solid ccRCC. …”
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Derivation and external validation of a risk prediction algorithm to estimate future risk of cardiovascular death among patients with type 2 diabetes and incident diabetic nephropathy: prospective cohort study by Bin Zhao, Jin Shang, Xiaoxue Zhang

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Classical and Quantum Algorithms for Characters of the Symmetric Group by Sergey Bravyi, David Gosset, Vojtech Havlicek, Louis Schatzki

“…Here we describe a matrix product state (MPS) algorithm for characters of S_{n}. The algorithm computes an MPS encoding all irreducible characters of a given permutation. …”
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