Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System by E. I. Mikhnionok, A. V. Khizniak

“…The article considers the approach developed by the authors to adapt the detection algorithm based on the background subtraction method to work in a scanning optoelectronic surveillance system. …”
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A Novel Azimuth Channel Errors Estimation Algorithm Based on Characteristic Clusters Statistical Treatment by Wensen Yang, Ran Tao, Hao Huan, Jing Feng, Longyong Chen, Yihao Xu, Junhua Yang

“…To address this issue, this article derives the formula expression in the two-dimensional time domain after single-channel processing under the assumption of an insufficient azimuth sampling rate and proposes a novel algorithm based on the statistical treatment of characteristic clusters. …”
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Improved classification algorithm for hyperspectral remote sensing images based on the hybrid spectral network model by Lv Deguo

“…In order to make better use of the spatial information and spectral information to improve the classification accuracy of hyperspectral remote sensing images, this article proposes an improved classification algorithm, a-HybridSN, based on the HybridSN (hybrid spectral network) model. …”
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Advanced predictive disease modeling in biomedical IoT using the temporal adaptive neural evolutionary algorithm by Chandragandhi S, Arvind C, Srihari K

“…Accurate and efficient predictive disease modeling is crucial in biomedical IoT for early detection and intervention, yet existing models like LSTM and XGBoost face limitations in handling the complexity and temporal nature of health data streams. The research article addresses this gap by introducing the Temporal Adaptive Neural Evolutionary Algorithm (TANEA), a novel approach designed to enhance the predictive capabilities in biomedical IoT systems. …”
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Multiple Experts-Based Decision Algorithm for the Analysis of Consumer Preferences in the Transformation of Creative Product Value by Jing Wang

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Investigation of urban land development and utilization using an intelligent AHP algorithm and decision support system by Yanlin Cui

“…In the optimization of urban land usage plans, this article investigates a decision-making framework based on the Analytical Hierarchy Process (AHP) combined with an intuitionistic fuzzy set (IFS) for a multi-criteria decision-making (MCDM) algorithm. …”
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Utilization of Stockwell Transform and Random Forest Algorithm for Efficient Detection and Classification of Power Quality Disturbances by T. Ravi, K. Sathish Kumar, C. Dhanamjayulu, Baseem Khan

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Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm by Zhenning Yuan, Jong Han Lee, Sai Zhang

“…Experiments based on the Douban movie dataset verify that the recommendation algorithm proposed in this article solves the shortcomings of a single algorithm model to a certain extent and improves the recommendation effect.…”
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SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS by Muhammad Nazhif Abda Putera Khano, Dewi Retno Sari Saputro, Sutanto Sutanto, Antoni Wibowo

“…RNN itself has a weakness in Long-Term Memory (LTM). Therefore, this article examines the combination of Long-Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms. …”
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Testing and Simulating a Simplified Precision Autonomous Landing Algorithm for Unmanned Aerial Vehicles (UAV) by Wacław WOSZCZYK (waclaw.woszczyk@student.wat.edu.pl), Kasjan PAWELEC (kasjan.pawelec@student.wat.edu.pl), Norbert SUPEŁO (norbert.supelo@student.wat.edu.pl), Tomasz PACANA (tomasz.pacana@student.wat.edu.pl), Maciej PAJUNK (maciej.pajunk@student.wat.edu.pl), Natalia DANIEL (natalia.daniel@wat.edu.pl)

“…However, their landing pad detection systems did not consistently perform as intended to environmental conditions, such as inclement weather or inadequate illumination. This article presents a simplified precision landing algorithm for unmanned aerial vehicles (UAV) with the objective of enhancing accuracy of the landing procedure. …”
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Position Accuracy Improvement of the Inertial Navigation System using LSTM Algorithm without GNSS Signals by Mohammad Sabzevari, MasoudReza Aghabozorgi Sahaf

“…The error of inertial navigation is modeled using LSTM deep neural networks in this article. In this neural network, the relationship between current and past data is modeled as long as the GNSS satellite signal is available to improve the output position of the inertial navigation system when the GNSS satellite signal can no longer be received. …”
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Medical Image Hybrid Watermark Algorithm Based on Frequency Domain Processing and Inception v3 by Yu Fan, Jingbing Li, Uzair Aslam Bhatti, Saqib Ali Nawaz, Yenwei Chen

“…Existing research has mostly focused on optimizing individual techniques, lacking comprehensive solutions that integrate the strengths of different methods. This article proposes a hybrid digital watermarking algorithm for medical images based on frequency domain transformation and deep learning convolutional neural networks. …”
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Spatiotemporal variable and parameter selection using sparse hybrid genetic algorithm for traffic flow forecasting by Xiaobo Chen, Zhongjie Wei, Xiang Liu, Yingfeng Cai, Zuoyong Li, Feng Zhao

“…Meanwhile, spatiotemporal variable selection and traffic flow prediction should be solved in a unified framework such that they can benefit from each other. In this article, we propose a novel sparse hybrid genetic algorithm by introducing sparsity constraint and real encoding scheme into genetic algorithm in order to optimize short-term traffic flow prediction model based on least squares support vector regression. …”
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Hybrid genetic algorithm to minimize scheduling cost with unequal and job dependent earliness tardiness cost by Prasad Bari, Prasad Karande, Vaidehi Bag

“…This article presents two combinatorial genetic algorithms (GA), unequal earliness tardiness-GA (UET-GA) and job-dependent earliness tardiness-GA (JDET-GA) for the single-machine scheduling problem to minimize earliness tardiness (ET) cost. …”
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On the development of a practical Bayesian optimization algorithm for expensive experiments and simulations with changing environmental conditions by Mike Diessner, Kevin J. Wilson, Richard D. Whalley

“…When optimizing such experiments, the focus should be on finding optimal values conditionally on these uncontrollable variables. This article extends Bayesian optimization to the optimization of systems in changing environments that include controllable and uncontrollable parameters. …”
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DEVELOPMENT OF DIAGNOSTIC METHOD’S REALIZING ALGORITHM OF THE EQUIPPED WITH THE COURSE STABILITY SYSTEM VEHICLES AT OPERATION STAGE by Il. V. Denisov, I. A. Terentyev

“…The research proves the increase in efficiency of the vehicles’ diagnostic procedure with course stability system due to the implementation of three-stage system, proposed by the authors of the article and compared to two-stage, which is currently being implemented at automobile service enterprises.Results. …”
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An Urban Bus Network Generation Algorithm Based on Particle Swarm Optimization and Force Field Properties by Yiming Chen, Yanhong Gu, Zhengdong Huang, Tianhong Zhao, Liangyuan Guo

“…This solves the problem of the selection of terminal stations in large-scale road network design. On this basis, the article combines Genetic Algorithm (GA) and Pareto frontier to provide a new route optimization algorithm and proves the effectiveness of the algorithm. …”
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Algorithmic indexing in MEDLINE frequently overlooks important concepts and may compromise literature search results by Alexandre Amar-Zifkin, Taline Ekmekjian, Virginie Paquet, Tara Landry

“…Indexing was performed by the Medical Text Indexer-Auto (MTIA) algorithm. The primary outcome measure is the number of records for which the MTIA algorithm assigned subject headings that represented the main concepts of the publication.  …”
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Postoperative Respiratory Depression Associated with Pregabalin: A Case Series and a Preoperative Decision Algorithm by Naveen Eipe, John Penning

“…This algorithm may be helpful in increasing the safety of perioperative pregabalin use.…”
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Management of large energy storage power plants: optimization of charging and discharging with cuckoo search algorithm by Behnam Motalebinejad, Majid Hosseina, Mojtaba Vahedi, Mahmoud Samiei Moghaddam

“…This article focuses on the management of large-scale energy storage facilities, introducing innovative measures that include constraints on the number of charge and discharge processes. …”
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