The Airport Gate Assignment Problem: A Survey by Abdelghani Bouras, Mageed A. Ghaleb, Umar S. Suryahatmaja, Ahmed M. Salem

“…Our survey covers both theoretical and real AGAP with the description of mathematical formulations and resolution methods such as exact algorithms, heuristic algorithms, and metaheuristic algorithms. …”
Get full text

Effectiveness of the Spatial Domain Techniques in Digital Image Steganography by Rosshini Selvamani, Yusliza Yusoff

“…The purpose of this research is to determine the best and most effective algorithm among the three competitive spatial domain algorithms, which are Least Significant Bit (LSB), Optimum Pixel Adjustment Procedure (OPAP), and Pixel Value Differencing (PVD) which in regard demonstrated the efficacy of spatial domain algorithms. …”
Get full text

Proximal Neural Networks based reconstruction for few-view CT applications by Hoang Trieu Vy Le, Caroline Bossuyt, Julie Escoda, Marius Costin, Jan De Beenhouwer, Jan Sijbers

“…Recent advancements in Plug-and-Play (PnP) algorithms have shown promise for solving imaging inverse problems by utilizing the capabilities of Gaussian denoising algorithms to handle complex optimization tasks. …”
Get full text

Federated Learning: A Distributed Shared Machine Learning Method by Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng

“…On the basis of classical FL algorithms, several federated machine learning algorithms are briefly introduced, with emphasis on deep learning and classification and comparisons of those algorithms are carried out. …”
Get full text

Technology for the Quantitative Identification of Dairy Products Based on Raman Spectroscopy, Chemometrics, and Machine Learning by Zheng-Yong Zhang, Jian-Sheng Su, Huan-Ming Xiong

“…Finally, with the rise of deep learning algorithms and fusion strategies, some challenges in this field are proposed.…”
Get full text

Using Different Methods baseflow Separation of Karst Springs Based on Isotope Content (Case study: Kahman Karst Spring) by Abazar Solgi, Heidar Zarei, Safar Marofi

“…At the end, using the evaluation of different critical compared to the different algorithms. The results showed that the Eckhart algorithm performs better than other algorithms. …”
Get full text

Metodologías para el desarrollo de Interfaces Visuales de Recuperación de Información: análisis y comparación by Víctor Herrero-Solana, Yusef Hassan

“…We also determine which combinations of methods and algorithms are most suitable at different stages. <br><b>Results.…”
Get full text

Novel Techniques to Speed Up the Computation of the Automorphism Group of a Graph by José Luis López-Presa, Luis F. Chiroque, Antonio Fernández Anta

“…Finally, we have compared the search tree size of conauto-2.03 against those of other popular GA algorithms, observing that, in most cases, conauto explores less nodes than these algorithms.…”
Get full text

Pinned-flags of some operations on fuzzy subgroups by B. B. Makamba, V. Murali

“…We illustrate some applications of such algorithms.…”
Get full text

Computation of Channel Capacity Based on Self-Concordant Functions by Da-gang Tian, Yi-qun Huang

“…A new algorithm to compute the channel capacity per unit cost is proposed. …”
Get full text

A dynamic Markov chain prediction model for delay-tolerant networks by Il-kyu Jeon, Kang-whan Lee

“…In this study, prediction routing algorithms are proposed to select efficient relay nodes. …”
Get full text

Statistical distributions of thesauri and their uses in classification of science publications by Vaidas Balys, Rimantas Rudzkis

“…Some analysis was carried out and on base of its results the conclusions about effectiveness, usefullnes, main shortages and the ways of refinement of simpliest algorithms are drawn. A need for better algorithms is motivated and some ideas about how to create them are proposed. …”
Get full text

SPATIO-TEMPORAL CLUSTER ANALYSIS OF DISEASE by M. S. Abramovich, S. V. Anishchanka, M. M. Mitskevich, O. I. Bydanov

“…Spatio-temporal cluster analysis algorithms were used for the cluster detection of incidence of thyroid carcinoma. …”
Get full text

CONSTRUCTION PRINCIPLES OF COMPUTING UNITS FOR INTELLECTUAL DATA PROCESSING by M. M. Tatur

“…An accent has been made on the necessity to provide compatibility of the librarian algorithms and the architecture of the parallel co-processor. …”
Get full text

Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…Furthermore, while feature selection benefits simpler algorithms (such as RF), normalization is more useful for complex algorithms like ANNs and DNNs, and algorithms such as NB are unsuitable for IDS modeling. …”
Get full text

Deep Unfolding-Aided Parameter Tuning for Plug-and-Play-Based Video Snapshot Compressive Imaging by Takashi Matsuda, Ryo Hayakawa, Youji Iiguni

“…Simulation results show that the trained noise level parameters via the proposed approach exhibit a non-monotonic pattern, which is different from the assumptions in the conventional convergence analyses of PnP-based algorithms. These findings provide new insights into both the application of deep unfolding and the theoretical basis of PnP algorithms.…”
Get full text

Dilution of precision for time difference of arrival with station deployment by Fengyun Zhang, Hao Li, Yulong Ding, Shuang‐Hua Yang, Li Yang

“…Abstract A study is conducted with the aim to reveal the relationship between the performance of moving object tracking algorithms and tracking anchor (station) deployment. …”
Get full text

Vehicle state estimation based on extended Kalman filter and radial basis function neural networks by Yunfei Zha, Xinye Liu, Fangwu Ma, CC Liu

“…Meanwhile, considering the influence of dynamic model and sensor noise and its coefficient selection on the estimation results, a radial basis function neural network estimation algorithm is designed. To further improve the reliability of the estimation algorithm, a method of estimation algorithm fusion is proposed based on the idea of mutual compensation between model- and data-driven estimation algorithms. …”
Get full text

Machine Learning-Based Network Detection Research for SDNs by Lai Jiayue

“…Moreover, it emphasizes the operational advantage of deploying multiple organic sets of machine learning algorithms, which can achieve even greater precision and efficiency than individual machine learning algorithms in practical uses, bringing it closer to developing a more robust and secure SDN environment.…”
Get full text

A Novel Clustering Technique for Efficient Clustering of Big Data in Hadoop Ecosystem by Sunil Kumar, Maninder Singh

“…Therefore, there is a need to design an efficient and highly scalable clustering algorithm. In this paper, we put forward a new clustering algorithm called hybrid clustering in order to overcome the disadvantages of existing clustering algorithms. …”
Get full text