ALGORITHM OF AIR TRAFFIC PRE-TACTICAL PLANNING SYSTEM by V. V. Vorobyev, A. S. Kharlamov

“…The capacity of the sectors is one of the main parameters, used with air traffic management planning. …”
Get full text

Compact quantum algorithms for time-dependent differential equations by Sachin S. Bharadwaj, Katepalli R. Sreenivasan

“…Here, we present algorithms for solving time-dependent PDEs, with particular reference to fluid equations. …”
Get full text

Quantum algorithms for cooling: A simple case study by Daniel Molpeceres, Sirui Lu, J. Ignacio Cirac, Barbara Kraus

“…Preparation of low-energy quantum many-body states has a wide range of applications in quantum information processing and condensed-matter physics. …”
Get full text

An algorithm for managing surgical patients with acute retinal necrosis by V. V. Neroev, P. A. Ilyukhin, V. E. Tankovsky, R. A. Fedotov

“…To increase the efficiency of surgical treatment and develop an algorithm for managing patients with the consequences of acute retinal necrosis (ARN).Material and methods. …”
Get full text

Unidirectional-link detection algorithms in wireless sensor networks by SANG Jun-jun, SHI Sheng-fei, LI Jiang-zhong, XIONG Shu-guang

Get full text

Strong Convergence of Generalized Projection Algorithms for Nonlinear Operators by Chakkrid Klin-eam, Suthep Suantai, Wataru Takahashi

Get full text

A comparison of various imputation algorithms for missing data. by Jürgen Kampf, Iryna Dykun, Tienush Rassaf, Amir Abbas Mahabadi

“…<h4>Background</h4>Many datasets in medicine and other branches of science are incomplete. …”
Get full text

IMPROVEMENT OF CUCKOO ALGORITHM FOR ASSOCIATION RULE HIDING PROBLEM by Đoàn Minh Khuê, Lê Hoài Bắc

“…Recently, a meta-heuristic algorithm is relatively effective for this purpose, which is cuckoo optimization algorithm (COA4ARH). …”
Get full text

A Recommendation Algorithm Based on Restricted Boltzmann Machine by WANG Weibing, ZHANG Lichao, XU Qian

“…In the case where the amount of data is too large, the recommended results output by the RBM model will be broader Besides, many collaborative filtering algorithms currently do not handle large data sets better So, we try to use the deep learning technology to strengthen the personalized recommendation model We propose a hybrid recommendation model combining the bound Boltzmann model and the hidden factor model First, we use the RBM algorithm to generate candidate sets, and score the sparse matrix of the candidate set Then we use the LFM model to sort the candidate results and select the optimal solution for recommendation The hybrid model is validated using used large public datasets It can be seen from the verification that compared with the traditional recommendation model, the proposed method can improve the accuracy of the score prediction…”
Get full text

A weighted and distributed algorithm for multi-hop localization by Juan Cota-Ruiz, Rafael Gonzalez-Landaeta, Jose David Diaz-Roman, Boris Mederos-Madrazo, Ernesto Sifuentes

“…Also, under rough initial position estimates, the proposed algorithm achieves root mean square error values less than the radio range of unknown sensors, in average, with only a few iterations.…”
Get full text

Swarm Behaviour Optimisation Methods Based on an Original Algorithm by Krzysztof FALKOWSKI, Michał DUDA

“…This article presents an authorial swarm algorithm that performs coverage tasks using the Sweep Coverage method. …”
Get full text

Parallelism of multi-scale quantum harmonic oscillator algorithm by Yan HUANG, Peng WANG, Kun CHENG, Feng LIU

“…MQHOA was a novel intelligent algorithm constructed by quantum harmonic oscillator's wave function.Sampling was the basic operation and main computational burden of MQHOA.The independence of sampling operation constructs MAHOA’s parallelism.Parallel granularity was obtained by experiments of group parameter and sampling parameter,and MQHOA-P was proposed.Experiments were done in a cluster of ten nodes on six standard test functions.By changing node number,function dimension and sampling parameter,experiments of MQHOA-P’s speed-up ratio were done.The experimental results show the good performance of MQHOA-P’s speed-up ratio and expansibility.MQHOA-P can be deployed and run on multiple nodes in a large-scale cluster.…”
Get full text

Algorithm of surgical treatment of complicated forms of chronic pancreatitis. by O. E. Kanikovskyi, I. V. Pavlyk, I. V. Oliinyk

“…The purpose of the work was to evaluate the algorithm of surgical treatment of complicated forms of chronic pancreatitis. …”
Get full text

Dissipative Variational Quantum Algorithms for Gibbs State Preparation by Yigal Ilin, Itai Arad

“…We demonstrate how such algorithms can prepare Gibbs states over a wide range of quantum many-body Hamiltonians and temperatures, while significantly reducing errors due to both coherent and noncoherent noise. …”
Get full text

Enhanced Tunicate Swarm Algorithm for Big Data Optimization by Emine Baş

“…One of them is metaheuristic algorithms. Meta-heuristic methods, which have been used by very few researchers yet, have become increasingly common. …”
Get full text

An Algorithm for Producing Fuzzy Implications via Conical Sections by Ioannis Karampinis, Georgios Souliotis, Basil Papadopoulos, Athanasios Karabinis

“…., involutions, thus leading, in general, to the generated fuzzy implications possessing many desirable additional properties. We have examined which of these properties hold for the implications produced by our algorithm and under which conditions. …”
Get full text

Application of Genetic Algorithm to Hexagon-Based Motion Estimation by Chih-Ming Kung, Wan-Shu Cheng, Jyh-Horng Jeng

“…Motion estimation, which removes the redundancy in video frames, plays an important role in the video coding. Therefore, many experts devote themselves to the issues. The existing fast algorithms rely on the assumption that the matching error decreases monotonically as the searched point moves closer to the global optimum. …”
Get full text

K-Medoid Algorithm in Clustering Student Scholarship Applicants by Sofi Defiyanti, Mohamad Jajuli, Nurul Rohmawati

“…Grouping into 3 groups is useful to make it easier to determine the scholarship recipients fuel. K-Medoids algorithm is an algorithm of clustering techniques based partitions. …”
Get full text

A Hybrid Algorithm for Contour Thinning in Image Processing by Mamatov Narzullo, Niyozmatova Nilufar, Jalelova Malika, Samijonov Abdurashid, Samijonov Boymirzo

“…Precise contour separation of objects is crucial for effective segmentation; however, contouring methods often produce thick contour lines, leading to unnecessary information in the final image. Contour thinning algorithms address this issue, yet many existing algorithms lack real-time applicability and fail to deliver precise contour separation. …”
Get full text

A Combined Antijamming and Antispoofing Algorithm for GPS Arrays by Qiong Yang, Yi Zhang, Chengkai Tang, Jie Lian

“…To solve the problem, a combined antijamming and antispoofing algorithm for a GPS receiver based on an antenna array is proposed. …”
Get full text