Efficient Scheduling of Scientific Workflows with Energy Reduction Using Novel Discrete Particle Swarm Optimization and Dynamic Voltage Scaling for Computational Grids by M. Christobel, S. Tamil Selvi, Shajulin Benedict

“…An energy improvement of up to 28% was obtained when Makespan Conservative Energy Reduction (MCER) and Dynamic Voltage Scaling (DVS) were used in the proposed DPSO algorithm.…”
Get full text

Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit by Wenxin Li, Qiyuan Peng, Qinlin Li, Chao Wen, Yongxiang Zhang, Javad Lessan

“…To illustrate the model and solution methodology, the proposed model and solution algorithms are validated against train operation record from a URT line of Chengdu metro in China. …”
Get full text

Multisegment Mapping Network for Massive MIMO Detection by Yongzhi Yu, Jianming Wang, Limin Guo

“…Because of the large number of massive MIMO antennas, the computational complexity of detection has increased significantly, which poses a significant challenge to traditional detection algorithms. However, the use of deep learning for massive MIMO detection can achieve a high degree of computational parallelism, and deep learning constitutes an important technical approach for solving the signal detection problem. …”
Get full text

PULSim: User-Based Adaptable Simulation Tool for Railway Planning and Operations by Yong Cui, Ullrich Martin, Jiajian Liang

“…Users and researchers gain the ability to rapidly develop their own algorithms, supported by the tailored simulation process in a flexible manner. …”
Get full text

Ranking of Search Requests in the Digital Information Retrieval System Based on Dynamic Neural Networks by Viera Bartosova, Svetlana Drobyazko, Sergii Bogachov, Olga Afanasieva, Maria Mikhailova

“…The article is devoted to the problem of optimization of search request ranking algorithms in the digital information retrieval system. …”
Get full text

Role of Customs Legislation and Practice of Its Implementation in the Protection of Fauna of Ukraine by I. O Panov

“…The author has emphasized the need to develop automated algorithms for the exchange of information on the movement of wild animals across the border between the relevant government agencies in order to further control the legality of the origin of animals and bring to justice those who illegally released wild animals. …”
Get full text

Drone Landing and Reinforcement Learning: State-of-Art, Challenges and Opportunities by Jose Amendola, Linga Reddy Cenkeramaddi, Ajit Jha

“…It also revisits Reinforcement Learning Algorithms, the main frameworks and simulators adopted for specific landing operations. …”
Get full text

Predictive Analytics in Finance Using the Arima Model. Application for Bucharest Stock Exchange Financial Companies Closing Prices by Spulbar Cristi, Ene Cezar Cătălin

“…Moreover, the selected model is part of the time series analysis under prediction algorithms, the purpose of the research being to predict the prices of the selected shares. …”
Get full text

Beamforming of Joint Polarization-Space Matched Filtering for Conformal Array by Lutao Liu, Yilin Jiang, Liangtian Wan, Zuoxi Tian

“…The conventional beamforming algorithms could not be applied to the conformal array because of the varying curvature. …”
Get full text

A GIS Based Unsteady Network Model and System Applications for Intelligent Mine Ventilation by Hui. Liu, Shanjun Mao, Mei. Li, Pingyang Lyu

“…Firstly, a GIS based unsteady network model is proposed, and its algorithm steps are brought out. Secondly, a prototype web system, named 3D VentCloud, is designed and developed based on the front and end technique, which effectively integrates the proposed algorithms. …”
Get full text

Deep learning–based resource allocation for secure transmission in a non-orthogonal multiple access network by Miao Zhang, Yao Zhang, Qian Cen, Shixun Wu

“…Machine learning techniques, especially deep learning algorithms have been widely utilized to deal with different kinds of research problems in wireless communications. …”
Get full text

Machine Learning Classifiers and Data Synthesis Techniques to Tackle with Highly Imbalanced COVID-19 Data by Avaz Naghipour, Mohammad Reza Abbaszadeh Bavil Soflaei, mostafa ghader-zefrehei

“…To this end, we demonstrate the capability of two advanced data synthesis algorithms, Conditional Tabular Generative Adversarial Network (CTGAN) and Tabular Variational Autoencoder (TVAE), in addressing the class imbalance inherent in the dataset. …”
Get full text

Maximum Power Point Tracking Based on Sliding Mode Control by Nimrod Vázquez, Yuz Azaf, Ilse Cervantes, Eslí Vázquez, Claudia Hernández

“…Obtained results gave a good dynamic response, as a difference from traditional schemes, which are only based on computational algorithms. A traditional algorithm based on MPPT was added in order to assure a low steady state error.…”
Get full text

Integrating Satellite Data and In-situ Observations for Trophic State Assessment of Renuka Lake, Himachal Pradesh, India by Sujit Kumar Jally, Rakesh Kumar and Sibabrata Das

“…The present study focuses on estimating the Trophic State Index (TSI) of Renuka Lake, the smallest Ramsar site in India, utilizing in-situ observed Secchi disk transparency (SDT) and satellite data. Site-specific algorithms were developed by establishing the relationship between the spectral band ratio of Landsat 8 OLI and LISS-III with that of in-situ measured SDT data. …”
Get full text

Cost-Effective Resource Provisioning for Real-Time Workflow in Cloud by Lei Wu, Ran Ding, Zhaohong Jia, Xuejun Li

“…The results demonstrate that our algorithm outperforms the existing classical algorithms.…”
Get full text

Stock price prediction using the Sand Cat Swarm Optimization and an improved deep Long Short Term Memory network by Burak Gülmez

“…The research evaluates multiple algorithms including ANN, LSTM variants, Auto-ARIMA, Gradient Boosted Trees, DeepAR, N-BEATS, N-HITS, and the proposed LSTM-SCSO using DAX index data from 2018 to 2023. …”
Get full text

Identification of hub genes and pathogenesis in Kawasaki disease based on bioinformatics analysis by Min Cao, Zhenhu Zhang, Qian Liu, Yuda Zhang

“…Materials and Methods: Gene Expression Omnibus (GEO) datasets GSE68004 and GSE73461 were downloaded, and the differentially expressed genes (DGEs) were taken, along with DEGs enrichment analysis and protein interaction network. Finally, five algorithms in CytoHubba plug-in were applied to obtain hub genes. …”
Get full text

Compressive Strength Evaluation of Fiber-Reinforced High-Strength Self-Compacting Concrete with Artificial Intelligence by Tu T. Nguyen, Hoa Pham Duy, Tung Pham Thanh, Hoang Hiep Vu

“…Various AI models were developed with different training algorithms and a number of nodes in the hidden layer to obtain the optimal model for the FRHSSCC data. …”
Get full text

Intellectual measurement and evaluation of the results of customs authorities’ activities by G. I. Goremykina, Yu. E. Gupanova

“…The study is based on a cognitive approach that allows describing the intellectual environment of customs authorities and models of evaluation and management based on fuzzy logic algorithms. The implementation of the technology for presenting experts’ knowledge in the subject area is carried out on the basis of constructing a prescriptive logical production model that allows formalizing expert knowledge in the form of implicative statements involving fuzzy formulations in antecedents and consequents, and using a generalized modus ponens as a logical conclusion. …”
Get full text

Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence by Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad

“…To improve stroke risk prediction models in terms of efficiency and interpretability, we propose to integrate modern machine learning algorithms and data dimensionality reduction methods, in particular XGBoost and optimized principal component analysis (PCA), which provide data structuring and increase processing speed, especially for large datasets. …”
Get full text