Efficient Solutions of Multidimensional Sixth-Order Boundary Value Problems Using Symmetric Generalized Jacobi-Galerkin Method by E. H. Doha, W. M. Abd-Elhameed

“…The proposed algorithms are extended to solve the two-dimensional sixth-order differential equations. …”
Get full text

DRAV: Detection and repair of data availability violations in Internet of Things by Jinlin Wang, Haining Yu, Xing Wang, Hongli Zhang, Binxing Fang, Yuchen Yang, Xiaozhou Zhu

“…In this work, the detection and repair of data availability violations (DRAV) framework is proposed to detect and repair data violations in Internet of Things with a distributed parallel computing environment. DRAV uses algorithms in the MapReduce programming framework, and these include detection and repair algorithms based on enhanced conditional function dependency for data consistency violation, MapJoin, and ReduceJoin algorithms based on master data for k -nearest neighbor–based integrity violation detection, and repair algorithms. …”
Get full text

Two accelerated gradient-based iteration methods for solving the Sylvester matrix equation AX + XB = C by Huiling Wang, Nian-Ci Wu, Yufeng Nie

“…In this paper, combining the precondition technique and momentum item with the gradient-based iteration algorithm, two accelerated iteration algorithms are presented for solving the Sylvester matrix equation $ AX+XB = C $. …”
Get full text

Statistical Analysis of Public Sentiment on the Ghanaian Government: A Machine Learning Approach by John Andoh, Louis Asiedu, Anani Lotsi, Charlotte Chapman-Wardy

“…The data was preprocessed, manually labeled by the researcher, and then trained using the aforementioned algorithms. These algorithms are three of the most popular learning algorithms which have had lots of success in diverse fields. …”
Get full text

Online Coregularization for Multiview Semisupervised Learning by Boliang Sun, Guohui Li, Li Jia, Kuihua Huang

“…Experiments show that our derived online coregularization algorithms achieve risk and accuracy comparable to offline algorithms while consuming less time and memory. …”
Get full text

Online Parameter Estimation in Digital Twins for Real-Time Condition Monitoring by Agus Hasan

“…This paper introduces innovative online parameter estimation algorithms that employ both deterministic and stochastic methodologies in digital twins for real-time condition monitoring. …”
Get full text

Big Data Analytics: A Tutorial of Some Clustering Techniques by Said Baadel

“…Other algorithms use overlapping techniques where an object may belong to one or more clusters. …”
Get full text

Performance evaluation of perceptible impulsive noise detection methods based on auditory models by Arda Özdoğru, František Rund, Karel Fliegel

“…We compared the results of eight algorithms, hypothesizing that computationally simpler algorithms could perform as well as more complex ones. …”
Get full text

Comparative evaluation of SNVs, indels, and structural variations detected with short- and long-read sequencing data by Shunichi Kosugi, Chikashi Terao

“…The recall of SV detection with short-read-based algorithms was significantly lower in repetitive regions, especially for small- to intermediate-sized SVs, than that detected with long-read-based algorithms. …”
Get full text

Evolutionary Computation and Its Applications in Neural and Fuzzy Systems by Biaobiao Zhang, Yue Wu, Jiabin Lu, K.-L. Du

“…In this paper, we first introduce evolutionary algorithms with emphasis on genetic algorithms and evolutionary strategies. …”
Get full text

Joint User Detection and Channel Estimation in Grant-Free Random Access for Massive MIMO Systems by Yang Yang, Guanghua Song, Hui Liu

“…As a result, these algorithms generate highly precise estimations of user channels. …”
Get full text

The Application of Pattern Recognition in Electrofacies Analysis by Huan Li, Xiao Yang, Wenhong Wei

“…In this paper, we study several commonly used clustering and classification algorithms. On the basis of advantages and disadvantages of existing algorithms, we introduce the KMRIC algorithm, which improves initial centers of K-means. …”
Get full text

Incremental Fuzzy Clustering Based on Feature Reduction by Yongli Liu, Yajun Zhang, Hao Chao

“…In the era of big data, more and more datasets are gradually beyond the application scope of traditional clustering algorithms because of their large scale and high dimensions. …”
Get full text

Combining Interval Branch and Bound and Stochastic Search by Dhiranuch Bunnag

“…This paper presents global optimization algorithms that incorporate the idea of an interval branch and bound and the stochastic search algorithms. …”
Get full text

Pedestrian navigation: how can inertial measurment units assist smartphones? by I. A. Chistyakov, I. V. Grishov, A. A. Nikulin, M. V. Pikhletsky, I. B. Gartseev

“…This paper is devoted to construction of reference walking trajectories for developing pedestrian navigation algorithms for smartphones. Such trajectories can be used both for verification of classical algorithms of navigation or for application of machine learning technics. …”
Get full text

Randomized geographic-based routing with nearly guaranteed delivery for three-dimensional ad hoc network by Alaa E. Abdallah, Emad E. Abdallah, Mohammad Bsoul, Ahmed Fawzi Otoom

“…Several routing algorithms have been proposed for efficient routing in mobile ad hoc networks, most of them consider mobile nodes embedded in two-dimensional environments. …”
Get full text

Autonomous Planning of Multigravity-Assist Trajectories with Deep Space Maneuvers Using a Differential Evolution Approach by Ossama Abdelkhalik

“…The biologically inspired concept of hidden genes has been recently introduced in genetic algorithms to solve optimization problems where the number of design variables is variable. …”
Get full text

Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models by Camerin Hahn, Sima Noghanian

“…As new algorithms for microwave imaging emerge, it is important to have standard accurate benchmarking tests. …”
Get full text

Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…CoMoFoD, CASIA, and MICC datasets and a combination of CoMoFoD and CASIA datasets images are used to quantify the performance of the proposed algorithms. The proposed algorithms are more efficient than state-of-the-art algorithms even though the suspected image is post-processed.…”
Get full text

Sparse Graph Embedding Based on the Fuzzy Set for Image Classification by Minghua Wan, Mengting Ge, Tianming Zhan, Zhangjing Yang, Hao Zheng, Guowei Yang

“…In recent years, many face image feature extraction and dimensional reduction algorithms have been proposed for linear and nonlinear data, such as local-based graph embedding algorithms or fuzzy set algorithms. …”
Get full text