Three-Dimensional Adaptive Modulation and Coding for DDO-OFDM Transmission System by Xi Chen, Zhenhua Feng, Ming Tang, Borui Li, Huibin Zhou, Songnian Fu, Deming Liu

“…The introduced look-up table operation can reduce the iterations and improve the convergence speed. To evaluate the performance of the proposed algorithm, we tailor the system parameters of direct detection optical OFDM (DDO-OFDM) to investigate the difference of effective data rate (EDR) between fixed schemes and proposed adaptive modulation and coding (AMC) schemes. …”
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Accelerated preprocessing in task of searching substrings in a string by A. V. Mazurenko, N. V. Boldyrikhin

“…The paper lists eight algorithms. The developed algorithms are evaluated. …”
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Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

“…Using TF-IDF-weighted cosine similarity evaluation, our model achieved a τ of 0.528, ρ of 0.518, and an MAE of 1.343. …”
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Mathematical modeling and optimization of the active suspension system of a 6x6 electric vehicle by Berk Aydoğan, Ahmet Yildiz

“…In the mathematical model, simulations of models with passive and active suspension systems were carried out and system accuracy was confirmed. Three different methods were used for optimization: Genetic Algorithm (GA), Particle Swarm Optimization (PSE) and Differential Evolution (DE) Optimization. …”
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GRL-ITransformer: An Intelligent Method for Multi-Wind-Turbine Wake Analysis Based on Graph Representation Learning With Improved Transformer by Kang Han, Li Xu

“…After that, the data driven method is employed to update the parameters, and the superiority of GRL-ITransformer is highlighted by analyzing and comparing with the existing five classical intelligent algorithms (belongs to four categories). The comprehensive results show that GRL-ITransformer has excellent performance in wind turbine wake field prediction and reconstruction, and always possesses the lowest error for a series of error evaluation indexes among all models.…”
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From 2D to 3D Urban Analysis: An Adaptive Urban Zoning Framework That Takes Building Height into Account by Tao Shen, Fulu Kong, Shuai Yuan, Xueying Wang, Di Sun, Zongshuo Ren

“…The vertical heterogeneous structures formed during the evolution of urban agglomerations, driven by globalization, pose challenges to traditional two-dimensional spatial analysis methods. …”
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Association of weight-adjusted waist index and body mass index with chronic low back pain in American adults: a retrospective cohort study and predictive model development based on... by Weiye Zhang, Weiye Zhang, Yan Li, Pengwei Shao, Yuxuan Du, Ke Zhao, Jiawen Zhan, Lee A. Tan

“…Six machine learning algorithms were employed to predict CLBP occurrence and identify the optimal algorithm.ResultsA total of 4,687 participants were included. …”
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NLP-Driven Analysis of Pneumothorax Incidence Following Central Venous Catheter Procedures: A Data-Driven Re-Evaluation of Routine Imaging in Value-Based Medicine by Martin Breitwieser, Vanessa Moore, Teresa Wiesner, Florian Wichlas, Christian Deininger

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Enhancing root-zone soil moisture estimation using Richards' equation and dynamic surface soil moisture data by Xizhuoma Zha, Wenbin Zhu, Yan Han, Aifeng Lv

“…The application of the Shuffled Complex Evolution-University of Arizona (SCE-UA) algorithm significantly enhances the model's accuracy. …”
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Advancing overbreak prediction in drilling and blasting tunnel using MVO, SSA and HHO-based SVM models with interpretability analysis by Yulin Zhang, Jian Zhou, Jialu Li, Biao He, Danial Jahed Armaghani, Shuai Huang

“…Empirical methods lack universal applicability due to their reliance on specific project conditions, while statistical models struggle with inconsistent patterns across different datasets. Furthermore, traditional AI models, including single machine learning algorithms, often overlook the multifaceted nature of overbreak, and hybrid models lack comprehensive evaluation standards. …”
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Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning anal... by Abhijeet Das

“…The research aims to fill the gap by considering a total of 13 surface water samples, which were collected and analyzed using standard methods. Evaluating the effectiveness and dependability of classification algorithms in identifying changes in water quality is crucial since accurate information is required to improve decision-making. …”
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Fusing wrist pulse and ECG data for enhanced identification of coronary heart disease and its complications by Lei-Xin Hong, Wen-Jie Wu, Xia Chen, Dan-Qun Xiong, Ye-Qing Zhang, Xiang-Dong Xu, Jian-Jun Yan, Rui Guo

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Synthesis and characterization of hematite nanomaterials imprinted with acetone, ethanol and methanol for AI-Based IoT gas sensor arrays by Rana M. Abdelghani, Abd El-Hady B. Kashyout, Iman Morsi, Taha Elsayed Taha, Naglaa F. Soliman, Walid El-Shafai

“…Electrical performance assessments, including response versus temperature, resistance versus gas concentration, and output voltage versus gas concentration, were conducted to evaluate sensor efficiency. To enhance the accuracy and reliability of gas detection, artificial intelligence (AI) algorithms were employed to analyze sensor data, enabling precise gas concentration monitoring and issuing alerts when predefined threshold levels are exceeded. …”
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Automatic failure mode evaluation using non-linear phase contrast correction to improve flow measurement accuracy in cardiovascular magnetic resonance phase contrast imaging by Ana Beatriz Solana, Savine C.S. Minderhoud, Piotr A. Wielopolski, Juan Antonio Hernandez-Tamames, Ricardo P.J. Budde, Willem A. Helbing, Martin A. Janich, Alexander Hirsch

“…Image-based background phase correction algorithms are commercially available, but their accuracy is still under evaluation. …”
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Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

“…This research offers valuable insights into the effectiveness of different ML algorithms for predicting ALE in WSNs. …”
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Detecting depression in patients with coronary heart disease: a diagnostic evaluation of the PHQ-9 and HADS-D in primary care, findings from the UPBEAT-UK study. by Mark Haddad, Paul Walters, Rachel Phillips, Jacqueline Tsakok, Paul Williams, Anthony Mann, André Tylee

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The evaluation of the hemodynamically significant stenosis of the carotid arteries: analyzing the results from the duplex scanning of vessels, from the computed tomographic and the... by Nataly S. Nosenko, Ekaterina M. Nosenko, Daria S. Alemasova, Tatiana V. Dedy

“…The analysis of the reasons of discrepancies when measuring the degree of stenosis in the orifices of the internal carotid arteries from the results of duplex scanning and computed tomographic angiography has allowed for isolating three main groups: the human factor (operator-dependent, 30.4%), the anatomic factor (23.2%) and the differences in descriptions (46.4%). CONCLUSION: Upon examining the patients, it is necessary to strictly follow the algorithm of diagnosing the stenoses of the carotid arteries, beginning from the duplex scanning of the extracranial segments of brachiocephalic arteries as the most accessible and highly informative method. …”
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Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification by Dharani Kanta Roy, Hemanta Kumar Kalita

“…The proposed work introduces an intelligent semi-supervised intrusion detection system based on different algorithms to classify the network attacks accurately. …”
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Research on Fault Feature Extraction Method for Hydroelectric Generating Unit Based on Improved FMD and CDEI by Tao Wu, Haipeng Gong, Zaiming Geng, Jian Deng, Fang Yuan

“…To address this issue, this paper proposes a fault feature extraction method for hydroelectric generating units based on Feature Modal Decomposition (FMD) and the Comprehensive Distance Evaluation Index (CDEI). By improving the FMD algorithm, the objective function for selecting modal components during the FMD decomposition process is set as the CDEI, which can measure the sensitivity of fault features, thereby enhancing the distinguishability of the obtained fault features. …”
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Optimal Power Flow Based on a Metaheuristics Optimization Approach for the Iraqi Super High Voltages Network by Ali Almosawi, Mesut Cevik, Aysel Ersoy

“…In this work, the proposed approach uses genetic algorithm (GA) and camping the Hybrid Particle Swarm Optimization and Genetic algorithm (HPSO+GA) as an intelligent methods to perform optimal power flow. …”
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