Analyzing Student Academic Achievement Using Machine Learning Techniques at Senior High School Darunnajah Jakarta by Supriadi Panggabean, Wahyu Joko Saputro

“…Ultimately, the SVM algorithm demonstrated the highest accuracy, achieving an 84% accuracy rate compared to KNN and logistic regression.…”
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Identifying potential threats to economic security in a commercial organization by O. A. Ageeva, Yu. D. Matytsyna

“…The article reveals methods of identifying potential threats to economic security of commercial organization, primarily the algorithm of express diagnostics of its financial and economic activities. …”
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Cooperative Localization of Multi-UAVs via Dynamic Nonparametric Belief Propagation under GPS Signal Loss Condition by Jiuqing Wan, Liping Zhong, Fan Zhang

“…Furthermore, dNBP provides the basis for distributed algorithm in which messages are exchanges between neighboring UAVs. …”
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Virtual Antenna Array Analysis for MIMO Synthetic Aperture Radars by Wen-Qin Wang

“…Most of the MIMO SAR research so far focused on signal/data models and corresponding signal processing algorithm. Little work related to MIMO SAR antenna analysis can be found. …”
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MLAR:large-scale network alias resolution for IP geolocation by Fuxiang YUAN, Fenlin LIU, Chong LIU, Yan LIU, Xiangyang LUO

“…In order to accurately and efficiently perform alias resolution on interface IP and support IP geolocation,a large-scale network alias resolution algorithm (MLAR) was proposed.Based on the statistical differences in delays,paths,Whois,etc.between alias IP and non-alias IP,before resolution,filtering rules were designed to exclude a large number of IPs that can not be aliases and improve efficiency of resolution,alias resolution was transformed into classification,and four novel features such as delay similarity,path similarity,etc.were constructed for the classification of possible alias IP and non-alias IP after filtering.Experiments based on millions of samples from CAIDA show that compared with RadarGun,MIDAR,and TreeNET,the accuracy is improved by 15.8%,4.8%,5.7%,the time consumption can be reduced by up to 77.8%,65.3%,and 55.2%,when the proposed algorithm is applied to IP geolocation,the failure rates of the three typical geolocation methods such as SLG,LENCR,and PoPG are reduced by about 65.5%,64.1%,and 58.1%.…”
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Temporal dependent rate-distortion optimization based on distortion backward propagation by Hongwei GUO, Ce ZHU, Xu YANG, Lei LUO

“…Rate-distortion optimization (RDO) is a crucial technique in block based hybrid video encoders.However, the widely used independent RDO is far from obtaining optimal coding performance.To improve the rate-distortion (R-D) performance of high efficiency video coding (HEVC), a temporal dependent RDO algorithm was proposed.Firstly, the formula to calculate temporal distortion propagation factor was derived by using an exponential R-D function.Then, the coding distortion and motion compensation predicted error were obtained by pre-encoding, and the temporal distortion propagation factor was estimated by using distortion backward propagation.Finally, the Lagrange multiplier and quantization parameter of coding tree unit were adaptively adjusted to optimize bit resources allocation.Experimental results show that compared with the original RDO method in HEVC under the low-delay configuration, the proposed algorithm achieves an average 4.4% bit rate reduction for all test sequences, and up to 13.0% bit rate reduction for test sequence BasketballDrill, at the same reconstructed video quality.…”
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Aeroservoelastic Pitch Control of Stall-Induced Flap/Lag Flutter of Wind Turbine Blade Section by Tingrui Liu

“…A single neuron PID control strategy with improved Hebb learning algorithm and a radial basic function neural network PID algorithm are applied and performed well in the range of extreme wind speeds.…”
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Research on Monitoring method of Urban Road Waterlogging Depth Based on Deep Learning and Ellipse Detection by LIAO Yuhong, HUANG Guoru

“…In order to solve the problem that the traditional urban waterlogging monitoring methods consume a lot of manpower and material resources and also have a high cost,which cannot meet the needs of comprehensive and rapid monitoring of urban flood,a method of monitoring the depth of urban road waterlogging using deep learning and ellipse detection algorithm is applied,which constructs a computation model of the urban road waterlogging depth by detecting and segmenting the wheels of different types of vehicles on the images through a deep learning model and using ellipse detection algorithm to extract the geometric characteristic parameters of submerged wheels.Verified by typical video monitoring sites in Dongying City,The results show that the average positioning precision and segmentation precision of the model on the dataset can reach over 94%;the model has a good monitoring effect on waterlogging depth for vehicles on both the directly lateral side and the oblique lateral side in actual waterlogging monitoring;furthermore,the results at the near point are better than that at the far point,and the results for vehicles on the directly lateral side are better than the oblique lateral side.The results can lay the foundation for further research,and provide technical support for urban waterlogging monitoring and flood emergency management.…”
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Data augmentation scheme for federated learning with non-IID data by Lingtao TANG, Di WANG, Shengyun LIU

“…To solve the problem that the model accuracy remains low when the data are not independent and identically distributed (non-IID) across different clients in federated learning, a privacy-preserving data augmentation scheme was proposed.Firstly, a data augmentation framework for federated learning scenarios was designed.All clients generated synthetic samples locally and shared them with each other, which eased the problem of client drift caused by the difference of clients’ data distributions.Secondly, based on generative adversarial network and differential privacy, a private sample generation algorithm was proposed.It helped clients to generate informative samples while preserving the privacy of clients’ local data.Finally, a differentially private label selection algorithm was proposed to ensure the labels of synthetic samples will not leak information.Simulation results demonstrate that under multiple non-IID data partition strategies, the proposed scheme can consistently improve the model accuracy and make the model converge faster.Compared with the benchmark approaches, the proposed scheme can achieve at least 25% accuracy improvement when each client has only one class of samples.…”
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Estimation of FBMC/OQAM Fading Channels Using Dual Kalman Filters by Mahmoud Aldababseh, Ali Jamoos

“…The standard solution to this problem is the least square (LS) estimator or the minimum mean square error (MMSE) estimator with possible adaptive implementation using recursive least square (RLS) algorithm or least mean square (LMS) algorithm. However, these adaptive filters cannot well-exploit fading channel statistics. …”
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Multiview ISAR Imaging for Complex Targets Based on Improved SBR Scattering Model by Tiantian Feng, Lixin Guo

“…The bidirectional ray-tracing algorithm is developed to reduce the computation time. …”
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Statistics release and privacy protection method of location big data based on deep learning by Yan YAN, Yiming CONG, Mahmood Adnan, Quanzheng SHENG

“…Aiming at the problems of the unreasonable structure and the low efficiency of the traditional statistical partition and publishing of location big data, a deep learning-based statistical partition structure prediction method and a differential publishing method were proposed to enhance the efficacy of the partition algorithm and improve the availability of the published location big data.Firstly, the two-dimensional space was intelligently partitioned and merged from the bottom to the top to construct a reasonable partition structure.Subsequently, the partition structure matrices were organized as a three-dimensional spatio-temporal sequence, and the spatio-temporal characteristics were extracted via the deep learning model in a bid to realize the prediction of the partition structure.Finally, the differential privacy budget allocation and Laplace noise addition were implemented on the prediction partition structure to realize the privacy protection of the statistical partition and publishing of location big data.Experimental comparison of the real location big data sets proves the advantages of the proposed method in improving the querying accuracy of the published location big data and the execution efficiency of the publishing algorithm.…”
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An Ant Colony Optimization Based Feature Selection for Web Page Classification by Esra Saraç, Selma Ayşe Özel

“…We also showed that the proposed ACO based algorithm can select better features with respect to the well-known information gain and chi square feature selection methods.…”
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Examining transaction-specific satisfaction and trust in Airbnb and hotels. An application of BERTopic and Zero-shot text classification by Manuel Rey-Moreno, Manuel Jesús Sánchez-Franco, María De la Sierra Rey-Tienda

“…Its objective is to present an algorithm that allows the identification of service characteristics relevant to guest satisfaction and trust. …”
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Study on Calculation of Cross-section Area of River Based on Analysis Method of Mid-point Distance Section by DANG Xicheng, LUO Yi, WANG Haiyan, LI Rong

“…The cross-section area is one of the key factors in flow measurement by velocity area method,and its calculation accuracy is directly related to the accuracy of flow measurement.Due to the complexity and diversity of the river section,the existing software algorithm cannot accurately judge the real position of the river flow through the large section data,resulting in the extraction error of the range of the cross section and the vertical depth.Therefore,with computer programming technology,this paper puts forward the analysis method of river mid-point distance section for identifying the position of river flow and judging the type of section,such as single section and compound section,extracting the water's edge and vertical line,and calculating the area.The application shows that the software can accurately analyze the river flow position under different hydraulic conditions by this method,and calculate the river cross-section area,achieving the purpose of algorithm design.This method can be widely used in automatic hydrological detection equipment or hydrological analysis software to improve the analysis ability of the equipment or software for cross-section flow area of river.…”
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Continuous Probabilistic Skyline Queries for Uncertain Moving Objects in Road Network by Shanliang Pan, Yihong Dong, Jinfeng Cao, Ken Chen

“…After defining the notion of dominant probability and probabilistic skyline, we put forward a novel algorithm to deal with continuous probabilistic skyline query on road network. …”
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The Nutri-Score for a Healthy Diet: Pros and Cons by Pauline Raoul, Emanuele Rinninella, Marco Cintoni, Vincenzina Mora, Maria Cristina Mele

“…Several aspects need to be improved in the algorithm, such as the consideration of the degree of processing and the presence of food additives. …”
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Design and Performance Assessment of Adaptive Harmonic Control for a Half-Car Active Suspension System by Maria-Geanina Unguritu, Teodor-Constantin Nichițelea, Dan Selișteanu

“…Additionally, an improvement to the harmonic control algorithm has been accomplished.…”
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Improved GSO Optimized ESN Soft-Sensor Model of Flotation Process Based on Multisource Heterogeneous Information Fusion by Jie-sheng Wang, Shuang Han, Na-na Shen

“…The ESN soft-sensor model of flotation process is optimized by the GSO algorithm with congestion factor. Simulation results show that the model has better generalization and prediction accuracy to meet the online soft-sensor requirements of the real-time control in the flotation process.…”
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Cooperative Control of Multistation Passenger Inflows in Case of Irregular Large-Scale Passenger Flows by Wei Zhu, Mengfei Chen, Pengling Wang

“…An improved particle swarm optimization algorithm was designed to determine an optimal solution, and a case study on the Chengdu metro in China was carried out to examine the performance of the model. …”
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