A Novel Evolutionary Deep Learning Approach for PM_2.5 Prediction Using Remote Sensing and Spatial–Temporal Data: A Case Study of Tehran by Mehrdad Kaveh, Mohammad Saadi Mesgari, Masoud Kaveh

“…Concurrently, long short-term memory (LSTM) models have shown considerable promise in enhancing air quality predictions, often outperforming other prediction techniques. …”
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Novel Back Propagation Optimization by Cuckoo Search Algorithm by Jiao-hong Yi, Wei-hong Xu, Yuan-tao Chen

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Utilizing Statistical Tests for Comparing Machine Learning Algorithms by Hozan Khalid Hamarashid

“…The mean result of machine learning models is determined by utilizing k-fold cross-validation. The algorithm with the best average performance should surpass those with the poorest. …”
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Performance Analysis of the MUSIC Algorithm in the Presence of Correlated Noise by Hyeong Woo Ham, Hyuk-In Kwon, Joon-Ho Lee

“…Passive direction finding has been studied over the past decades and theoretic performance prediction is a fundamental problem. The performance of the MUSIC algorithm for Direction-of-arrival (DOA) estimation under measurement uncertainty is analyzed. …”
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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. …”
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Research on Improving Camshift Algorithm about Target Tracking by QIN Yong, SHANG Meng-meng, ZHAO Xiao-hong, GAI Jian-xin

“…Finally, the accelerating object can be tracked accurately based on Camshift algorithm combined with Kalman filter prediction. It is shown with experimental data that the blocked or accelerating target can be accurately located by used the method proposed in this paper.…”
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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. …”
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Information entropy based match field cutting algorithm by Peng-hao SUN, Ju-long LAN, Shao-jun ZHANG, Jun-fei LI

“…With the increasing diversity of network functions,packet classification had a higher demand on the number of match fields and depth of match table,which placed a severe burden on the storage capacity of hardware.To ensure the efficiency of matching process while at the same time improve the usage of storage devices,an information entropy based cutting algorithm on match fields was proposed.By the analysis on the redundancy of match fields and distribution pattern in a rule set,a match field cutting model was proposed.With the mapping of matching process to the process of entropy reduction,the complexity of optimal match field cutting was reduced from NP-hard to linear complexity.Experiment results show that compared to existing schemes,this scheme can need 40% less TCAM storage space,and on the other side,with the growing of table size,the time complexity of this algorithm is also far less than other algorithms.…”
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Implementation of stochastic signal processing algorithms in radar CAD by M. Yu. Konopel'kin, S. V. Petrov, D. A. Smirnyagina

“…According to the results of the simulation, coordinates of observing objects were obtained and an assessment of the effectiveness of the algorithms was given. The obtained results are fully consistent with the theoretical prediction. …”
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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. …”
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Advanced Mathematical Modeling of Hydrogen and Methane Production in a Two-Stage Anaerobic Co-Digestion System by Olympia Roeva, Elena Chorukova, Lyudmila Kabaivanova

“…Parameter identification was achieved through dynamic experimentation, utilizing three distinct optimization algorithms: the deterministic active-set method (A-S) and the metaheuristics–genetic algorithm (GA), coyote optimization algorithm (COA), and marine predator algorithm (MPA). …”
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EULER AND EXPONENTIAL ALGORITHM IN VISCOELASTIC ANALYSES OF LAMINATED GLASS by Jaroslav Schmidt, Alena Zemanová

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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.…”
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A Stochastic Learning Algorithm for Machine Fault Diagnosis by Zhipeng Dong, Yucheng Liu, Jianshe Kang, Shaohui Zhang

“…To solve this problem, a new method, named stochastic learning algorithm (SL), is proposed in this paper for dimension reduction. …”
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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.…”
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Integrated PTS fire evacuation path planning algorithm by Zhijun Gao, Meng Zhang, Xin Wang, Hongyan Zhang, Chengcheng Zhang

“…To address these issues, this study proposes a novel hybrid fire evacuation path-planning algorithm that integrates the Pathfinder Algorithm (PFA) with the Tunicate Swarm Algorithm (TSA). …”
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Improved Visual SLAM Algorithm Based on Dynamic Scenes by Jinxing Niu, Ziqi Chen, Tao Zhang, Shiyu Zheng

“…We performed experiments based on the public datasets to validate the feasibility of the proposed algorithm. The experimental results indicate that the improved SLAM algorithm, which boasts a reduction in absolute trajectory error (ATE) by approximately 97% compared to traditional static visual SLAM and about 20% compared to traditional dynamic visual SLAM, also exhibited a 68% decrease in computation time compared to well-known dynamic visual SLAM, thereby possessing absolute advantages in both positioning accuracy and operational efficiency.…”
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ALGORITHM FOR MANAGEMENT OF HYPERTENSIVE PATIENTS UNDERWENT UROLOGY INTERVENTIONS by S. S. Davydova

“…The elaborated management algorithm for patients with concomitant hypertension is recommended to reduce the cardiovascular complications in the early postoperative period.…”
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Cognitive Radio for Smart Grid: Theory, Algorithms, and Security by Raghuram Ranganathan, Robert Qiu, Zhen Hu, Shujie Hou, Marbin Pazos-Revilla, Gang Zheng, Zhe Chen, Nan Guo

“…Furthermore, compressed sensing algorithms such as Bayesian compressed sensing and the compressed sensing Kalman filter is employed for recovering the sparse smart meter transmissions. …”
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Algorithm of the diagnosis and treatment of enteral insufficiency syndrome in peritonitis by E. A. Korymasov, S. A. Ivanov, M. V. Kenarskaya

“…The statistically significant reduction in the number of points in the limits of each severity was evaluated as the proof of clinical efficacy of the algorithm applied for the enteral insufficiency syndrome correction (p<0.05).CONCLUSION. …”
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