Optimal downlink power allocation schemes for OFDM-NOMA-based Internet of things by Ya Gao, Fei Yu, Haoran Zhang, Yongpeng Shi, Yujie Xia

“…Solving these sub-problems, we obtain the optimal power allocation schemes by jointly employing channel-state sorting–pairing algorithm, water-filling algorithm, and convex optimization theory. …”
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Optimization of Rider Scheduling for a Food Delivery Service in O2O Business by Guiqin Xue, Zheng Wang, Guan Wang

“…The large neighborhood search algorithm is validated through numerical experiments and is shown to meet the design objectives. …”
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Evaluation of the performance of Satellite photographs Corona , Hexagon and Aster images in preparing the map of the boundary and coastline of zaribar Lake and extracting the amoun... by Hedayat Sheikh Ghaderi, abdulsalam ‪aminpour, Parviz Ziaeian Firoozabadi

“…In the second stage, the linear extraction algorithm for extracting the lake boundary and coastline using corona and hexagon photographs has high accuracy and has a high correlation with the topographic map of 1.50000. …”
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Clustering OKU Timur Script Images using VGG Feature extraction and K-Means by Liu Toriko, Susan Dian Purnamasari, Yesi Novaria Kunang, Ilman Zuhri Yadi, Andri Andri

“…Features are extracted using the VGG16 model, which are then clustered with the K-Means algorithm. Clustering performance is evaluated based on the percentage of correctly grouped characters. …”
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Combining and congruence evaluation of phylogenetic signals from different genes based on geometric approach by V. M. Efimov, V. Yu. Kovaleva, Yu. N. Litvinov

“…A new Euclidean distance based algorithm is used for analysis of congruence and combining molecular genetic data. …”
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CNFA: ConvNeXt Fusion Attention Module for Age Recognition of the Tangerine Peel by Fuqin Deng, Junwei Li, Lanhui Fu, Chuanbo Qin, Yikui Zhai, Hongmin Wang, Ningbo Yi, Nannan Li, TinLun Lam

“…The experimental results showed that the proposed algorithm had an accuracy of 97.17%, precision of 96.18%, recall of 96.09%, and F1 score of 96.13% for age recognition of the tangerine peel, providing a visual solution for the intelligent development of the tangerine peel industry.…”
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Research on UAV Jamming Signal Generation Based on Intelligent Jamming by Haonan Xue, Zhihai Zhuo, Weihao Yan, Yuexia Zhang

“…This paper introduces an enhanced jamming signal generation algorithm built on the traditional convolutional autoencoder. …”
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GCL_FCS30: a global coastline dataset with 30-m resolution and a fine classification system from 2010 to 2020 by Jian Zuo, Li Zhang, Jingfeng Xiao, Bowei Chen, Bo Zhang, Yingwen Hu, M. M. Abdullah Al Mamun, Yang Wang, Kaixin Li

“…The coastline extraction employed a combined algorithm incorporating the Modified Normalized Difference Water Index and an adaptive threshold segmentation method. …”
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Multi-Kinects fusion for full-body tracking in virtual reality-aided assembly simulation by Yu Wang, Fuxiang Chang, Yuanjie Wu, Ziran Hu, Lihui Li, Pengyu Li, Pu Lang, Shouwen Yao

“…In this work, we developed a multi-Kinect fusion algorithm to achieve robust full-body tracking in virtual reality (VR)-aided assembly simulation. …”
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Quantum Speedup of the Dispersion and Codebook Design Problems by Kein Yukiyoshi, Taku Mikuriya, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Naoki Ishikawa

“…In turn, GAS is a quantum exhaustive search algorithm that can be used to implement full-fledged maximum-likelihood optimal solutions. …”
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Three-Dimensional Non-Uniform Sampled Data Visualization from Multibeam Echosounder Systems for Underwater Imaging and Environmental Monitoring by Wenjing Cao, Shiliang Fang, Chuanqi Zhu, Miao Feng, Yifan Zhou, Hongli Cao

“…Additionally, an opacity transfer function is generated to enhance the visualization performance of the ray casting algorithm. This function leverages data values and gradient information, including the first and second directional derivatives, to suppress the rendering of background and non-interest regions while emphasizing target areas and boundary features. …”
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Mathematical Modeling of Tuberculosis Transmission Dynamics With Reinfection and Optimal Control by Francis Oketch Ochieng

“…The model was fitted to historical TB incidence data for Kenya from 2000 to 2022 using lsqcurvefit algorithm in MATLAB software. The fitting algorithm yielded a mean absolute error (MAE) of 0.0069, demonstrating a close alignment between simulated and observed data. …”
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DISTANCE ESTIMATION TO THE INTERPHASE-FAULT LOCATION IN THE DISTRIBUTIVE AIR-LINE GRIDS BASED ON ANALYSIS OF THE HARMONIC COMPONENT PARAMETERS OF THE OPERATING EMERGENCY CONDITIONS by E. V. Kalentionok, Ye. O. Yakovchits

“…Besides, it is susceptible to the nonlinearity effect of closed-circuit arc in the fault location which significantly reduces the accuracy of the remote location of the failure.For estimating the distance to the location of interphase failure on the aerial distributive transmission lines the article proposes a new technique employing the harmonic components of the operating emergency parameters. The algorithm of the present method realization includes: taking down oscillograms of the emergency-mode parameter values (e. g. in doublephase failure – the short-circuit current, the linear voltage between the faulty phases) with necessary discretization interval; expansion of the operating emergency parameters in a Fourier series (realized with a quick Fourier expansion algorithm); estimating the distance to the fault location by the analytical expression; performing the statistical analysis of a row of distance values and finding the most probable distance to the fault location.For effectiveness investigation of the proposed method of trapping harmonic components the paper considers a 10 kV distributive electrical grid feeding nine transformer substations. …”
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Oscillating Mindfully: Using Machine Learning to Characterize Systems-Level Electrophysiological Activity During Focused Attention Meditation by Noga Aviad, Oz Moskovich, Ophir Orenstein, Etam Benger, Arnaud Delorme, Amit Bernstein

“…Results: The algorithm classified meditation versus mind-wandering states with 83% accuracy, with an area under the receiver operating characteristic curve of 79% and F1 score of 74%. …”
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Spatial Estimation of Trophic State for Reservoir Using Ground Monitoring and Remote Sensing Data by Thong Nguyen Hoang, Van Tran Thi

“…The results of correlation analysis between ground monitoring values and spectral values from remote sensing algorithms showed that the two parameters, SD and TP, correlated best with the NIR/BLUE algorithm. …”
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Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation by Achal Shetty, Sanjana S. Narasimhamurthy, KS Nataraj, Srilakshmi M. Prabhu, Neha Jagadeesh, Kunal Katre, Sumit Kumar, Neelesh Kapoor, Sudhir P. Haladi, Sankalp Gulati

“…Furthermore, system accuracy is consistent across varied subjects and settings, highlighting the importance of tailored data collection for development and evaluation of vital estimation algorithms.…”
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Steam Generator Maintenance Robot Design and Obstacle Avoidance Path Planning by Fengwei Yuan, Gengzhen Ren, Qian Deng, Xiangjiang Wang

“…Lastly, path planning was carried out by using the RRT algorithm, with the paths divided into three phases for analysis. …”
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Machine learning for predicting Chagas disease infection in rural areas of Brazil. by Fabio De Rose Ghilardi, Gabriel Silva, Thallyta Maria Vieira, Ariela Mota, Ana Luiza Bierrenbach, Renata Fiuza Damasceno, Lea Campos de Oliveira, Alexandre Dias Porto Chiavegatto Filho, Ester Sabino

“…In recent years, machine learning algorithms have emerged as powerful tools for disease prediction and diagnosis.…”
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Camera Absolute Pose Estimation Using Hierarchical Attention in Multi-Scene by Xinhua Lu, Jingui Miao, Qingji Xue, Hui Wan, Hao Zhang

“…Compared to the baseline algorithm PoseNet, our algorithm has achieved a 41.1% reduction in translation error and a 61.1% decrease in rotation error, demonstrating superior performance in multi-scene absolute camera pose regression.…”
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Multivariate Load Forecasting of Integrated Energy System Based on CEEMDAN-CSO-LSTM-MTL by WANG Yongli, LIU Zeqiang, DONG Huanran, LI Dexin, CHEN Xin, GUO Lu, WANG Jiarui

“…Based on this，a comprehensive energy system short-term load forecasting model is proposed，which combines complete ensemble empirical mode decomposition with adaptive noise （CEEMDAN），cross optimization algorithm （CSO），long short term memory （LSTM） network，and multi task learning （MTL）. …”
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