Practical aspects of using of parallel computing in genetic algorithm by V. V. Frolov

Get full text

Local congestion control algorithm with fair channel allocation by Geng-ming ZHU, Zhi-qiang WANG, Zhe-tao LI, Ren-fa LI

“…A local congestion control algorithm with fair channel allocation (FCA) was presented to mitigate local congestion as well as to improve the fairness of channel utilization.In order to decrease the extra communication overhead for obtaining the real-time buffer length of neighbors and improve the accuracy of congestion detection model based on buffer occupancy of single node，FCA presented a new model considers the total buffer length of neighbors with predict-based mechanism for real-time buffer occupancy and the average transmission time of packet.To avoid deteriorating congestion with an explicit notified package，FCA embedded an additional node address to the ACK control frame to carry congestion information.During the congestion alleviation stage，FCA presented a fair channel allocation mechanism based on real-time buffer occupancy and queue priority to prevent some nodes from overflowing resulting in package loss due to the growth of buffer fast.Simulation results show that the proposed protocol has comparative advantages compare with 802.11，CODA and PCCP in terms of collision，package delivery ratio，throughput and fairness.…”
Get full text

Intelligent Recommendation Algorithm Combining RNN and Knowledge Graph by Fengsheng Zeng, Qin Wang

“…At the same time, the algorithm’s rating prediction error values are small (less than 2%) in extracting different users’ ratings for different books. …”
Get full text

An Efficient Recommendation Algorithm Based on Heterogeneous Information Network by Ying Yin, Wanning Zheng

“…At present, a large number of recommendation algorithms based on heterogeneous information networks have been proposed. …”
Get full text

Skeletonization algorithm FOR OBJECTS ON THREE-DIMENSIONAL RASTER IMAGES by D. A. Goncharov, A. M. Nedzved, S. V. Ablameyko

Get full text

REAL-TIME ALGORITHM of OBJECT TRACKING with ERROR HANDLING by O. P. Solovey, N. N. Ivanov

Get full text

Algorithm of measuring signal processing in vector analyzers of circuits by A. A. Kopshaj, A. V. Gusinskij, A. V. Voroshen', D. A. Kondrashov

Get full text

Genetic Algorithm-Enhanced Direct Method in Protein Crystallography by Ruijiang Fu, Wu-Pei Su, Hongxing He

“…Direct methods based on iterative projection algorithms can determine protein crystal structures directly from X-ray diffraction data without prior structural information. …”
Get full text

Algorithm of Development for Stabilization of Socio-Ecological Situation in Karakalpakstan by Alisher Abdullaev

Get full text

A Suggested Algorithm for Video Motion and Applicate It to Basketball by Basil Thanoon, Abeer Thanoon

“…Also Root Mean Square Error is adopted as a measure for the adjacent position to the real position of the ball within the video sequence and the position that is found by using algorithm. The experimental results show the efficiency of the suggested algorithm to estimate the ball position accurately.…”
Get full text

Investigating the Impact of Consensus Algorithm on Scalability in Blockchain Systems by Kashif Mehboob Khan, Muhammad Abdullah Hayat, Rana Muhammad Ibrahim

“…Consensus algorithms ensure the integrity and security of blockchain. …”
Get full text

A Method for Speed Up the Allpass Transformation Algorithm by M. I. Porhun, M. I. Vashkevich

Get full text

A Novel Tornado Detection Algorithm Based on XGBoost by Qiangyu Zeng, Guoxiu Zhang, Shangdan Huang, Wenwen Song, Jianxin He, Hao Wang, Yin Liu

“…Dual-polarization updating has significantly improved tornado prediction and forecasting abilities. This article proposes an innovative tornado detection algorithm based on XGBoost which is suitable for dual-polarization radar data, was upgraded and has been used in China since 2019, and has been applied in the Tornado Key Open Laboratory of the China Meteorological Administration. …”
Get full text

A flexible generative algorithm for growing in silico placentas. by Diana C de Oliveira, Hani Cheikh Sleiman, Kelly Payette, Jana Hutter, Lisa Story, Joseph V Hajnal, Daniel C Alexander, Rebecca J Shipley, Paddy J Slator

“…These models use synthetic networks to represent the multiscale feto-placental vasculature, but current methods lack direct control over key morphological parameters like branching angles, essential for predicting placental dysfunction. We introduce a novel generative algorithm for creating in silico placentas, allowing user-controlled customisation of feto-placental vasculatures, both as individual components (placental shape, chorionic vessels, placentone) and as a complete structure. …”
Get full text

A Human Pose Estimation Algorithm with Scale Invariant by SUN Ruiyang, YANG Huixin, ZHAO Lanfei

Get full text

Multi-Level Particle System Modeling Algorithm with WRF by Julong Chen, Bin Wang, Rundong Gan, Xuepeng Mou, Shiping Yang, Ling Tan

“…Our algorithm can fully demonstrate cloud characteristics and interlayer differences, significantly improve modeling efficiency, and can be used for accurate modeling of large-scale cloud scenes, providing strong support for meteorological and climate prediction.…”
Get full text

Raising a Child to Live in Society – Personality Traits Parents Develop and Prevent from Developing in their Preschool Children by Agnieszka Szymańska, Elżbieta Aranowska

“…Analyses were carried out using two data mining algorithms: (a) text mining algorithms, (b) support vector machine and (c) social network analysis, and (d) Aranowska's λ judge agreement coefficient.The results revealed that parents of preschool children care mainly about the development of competency traits, especially self-reliance. …”
Get full text

Explainable Model Prediction of Memristor by Sruthi Pallathuvalappil, Rahul Kottappuzhackal, Alex James

“…This article proposes predicting the memristor device under test by automatically evaluating the <italic>I&#x2013;V</italic> behavior using random forest and extreme gradient boosting algorithms. …”
Get full text

The machine learning in the prediction of elections by M.S.C. José A. León-Borges, M.A. Roger-Ismael-Noh-Balam, Lic. Lino Rangel Gómez, Br. Michael Philip Strand

“…This research article, presents an analysis and a comparison of three different algorithms: A.- Grouping method K-means, B.-Expectation a convergence criteria, EM and C.- Methodology for classification LAMDA, using two software of classification Weka and SALSA, as an aid for the prediction of future elections in the state of Quintana Roo. …”
Get full text

An efficient patient’s response predicting system using multi-scale dilated ensemble network framework with optimization strategy by Nalini Manogaran, Nirupama Panabakam, Durai Selvaraj, Koteeswaran Seerangan, Firoz Khan, Shitharth Selvarajan

Subjects: “…Patient’s response prediction…”
Get full text