Deep reinforcement learning-based resource reservation algorithm for emergency Internet-of-things slice by Guolin SUN, Ruijie OU, Guisong LIU

“…Based on the requirements of ultra-low latency services for emergency Internet-of-things (EIoT) applications,a multi-slice network architecture for ultra-low latency emergency IoT was designed,and a general methodology framework based on resource reservation,sharing and isolation for multiple slices was proposed.In the proposed framework,real-time and automatic inter-slice resource demand prediction and allocation were realized based on deep reinforcement learning (DRL),while intra-slice user resource allocation was modeled as a shape-based 2-dimension packing problem and solved with a heuristic numerical algorithm,so that intra-slice resource customization was achieved.Simulation results show that the resource reservation-based method enable EIoT slices to explicitly reserve resources,provide a better security isolation level,and DRL could guarantee accuracy and real-time updates of resource reservations.Compared with four existing algorithms,dueling deep Q-network (DQN) performes better than the benchmarks.…”
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Application of efficient recognition algorithm based on deep neural network in English teaching scene by Mengyang Qin

“…The output of GCN is used to train the cyclic neural network to continuously predict the next most likely letter in the sequence. …”
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Sequential recommendation algorithm for long-tail users based on knowledge-enhanced contrastive learning by REN Yonggong, ZHOU Pinglei, ZHANG Zhipeng

“…Sequential recommendation predicts next items for users based on their historical interactions. …”
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An Improved Crayfish Algorithm-Based Neural Network Method for Modeling Microstrip Patch Antennas by Shao-Long Cao, Yu Shao, Yang Wang, Ju Tan, Jie Zhang

“…The improvement incorporates an elite opposition strategy and iterative local search while simplifying certain formulas in the original algorithm. The improved algorithm was evaluated on standard test functions, demonstrating superior convergence speed and accuracy compared to other algorithms. …”
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A Hybrid Algorithm Based Static Model Updating Method and Its Application to Spacecraft by Jutao Wang, Zhenzhong Liu, Xiaofei Wang

“…The results show that the hybrid algorithm can achieve a better result than the single algorithm in the static model updating.…”
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Solving and Optimization of Cobb–Douglas Function by Genetic Algorithm: A Step-by-Step Implementation by Ali Dinc, Faruk Yildiz, Kaushik Nag, Murat Otkur, Ali Mamedov

“…This study presents an innovative application of genetic algorithms (GAs) for optimizing the Cobb–Douglas production function, a cornerstone of economic modeling that examines the relationship between production output and the inputs of labor and capital. …”
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ALGORITHM FOR complex SMOKE AND FLAME detection based on video surveillance systems data analysis by R. P. Bohush, D. A. Tychko

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AN ALGORITHM OF MARKING IMAGES BASED ON THE VISUAL CRYPTOGRAPHY FOR PROTECTING FROM UNCONFIDENTIALITY INFORMATION DISTRIBUTION by A. A. Boriskevich

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Correction algorithm for combination frame of layer topology of VERY-LarGE-scale INTegration by A. A. Voronov, E. E. Marushko, D. U. Pertsev

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Detection of Electrical Fires in Residential Buildings Using a Gradient Boosting Machine Algorithm by Sharaban Taha Ahmed, Fadhil Aula

“…The paper discusses a technique for detecting electrical fires in residential buildings using the Gradient Boosting Machine (GBM) algorithm. The features of the algorithm process data related to current, voltage, and total harmonic distortion (THD) from electrical systems, considering resistive loads, such as heating appliances, and inductive loads, like refrigerators and washing machines. …”
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Enhancing machine learning performance in cardiac surgery ICU: Hyperparameter optimization with metaheuristic algorithm. by Ali Bahrami, Morteza Rakhshaninejad, Rouzbeh Ghousi, Alireza Atashi

“…We utilized Simulated Annealing (SA) and Genetic Algorithm (GA) to tune the hyperparameters of the ML models constructing the ensemble. …”
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A lithofacies modeling method based on a new integrated algorithm and its application by LEI Cheng,CUI Bingkai,ZHAI Guanghua,YE Yu,XU Qingyan,ZHANG Jinlin

“…At the same time, the algorithm is applied to the lithofacies modeling of D oilfield in Niger, and the average error of sand body probability is reduced by 30 %, which effectively improves the prediction accuracy of the sand body.…”
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Experiment study on UAV target detection algorithm based on YOLOv8n-ACW by Bo Xue, Bowen Zhang, Qin Cheng

“…Abstract To address the challenges associated with dense and occluded targets in small target detection utilizing unmanned aerial vehicle (UAV), we propose an enhanced detection algorithm referred as the YOLOv8n-ACW. Building upon the YOLOv8n baseline network model, we have integrated Adown into the Backbone and developed a CCDHead to further improve the drone’s capability to recognize small targets. …”
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A Simplistic Regression-Based Genetic Algorithm Optimization of Tool-Work Interface Temperature by Utkarsh ., Saumya KUMAR, Saaransh KUMAR, G. Uday KIRAN, Arkadeb MUKHOPADHYAY, Manik BARMAN

“…Further, the genetic algorithm predicts an optimal combination of parameters, which is 82.542 m/min cutting speed, 0.276 mm/rev feed rate and 0.2 mm depth.…”
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Numerical Assessment of Automotive Mufflers Using FEM, Neural Networks, and a Genetic Algorithm by Ying-Chun CHANG, Min-Chie CHIU, Meng-Ru WU

“…With this, the muffler’s optimization can proceed by linking the objective function to an optimizer, a Genetic Algorithm (GA). Consequently, the discharged muffler which is optimally shaped will improve the automotive exhaust noise.…”
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ALGORITHM OF DIAGNOSTICS AND TREATMENT OF AN AGE-RELATED MACULAR DEGENERATION AT PATIENTS WITH CHRONIC PERIPHERAL UVEITIS by Yu. I. Khoroshikh, O. I. Krivosheina, Ye. V. Melekhin

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Cold Chain Logistics Path Optimization with Adaptive Speed and Hybrid Genetic Algorithm Solution by Yuhui Sun, Dazhi Pan

“…In this work, we aim to adjust vehicle speeds in real time by predicting the surrounding population density based on the spacing of customer locations. …”
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The algorithm of PARALLEL COMPUTING OF THE NONISOTHERMAL HEAT AND MOISTURE MIGRATION TASK IN NATURAL DISPERSE ENVIRONMENT by P. K. Shalkevich, S. P. Kundas, I. A. Gishkeluk

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On Holt Winters Algorithm with Decomposition for Forecasting Financial Time Series with Complex Seasonal Patterns by منى نزيه على عبد البارى

“…The results of the study concluded that the Holt Winters Algorithm or triple exponential smoothing model is the best model since it produces the lowest Mean Absolute Percentage error (MAPE), Mean Absolute Deviation (MAD), and Mean Squared Deviation (MSD) values which are 4,380, 244783 compared to 4, 385, 246837 for SES, and 5, 410, 270734 for DES, and thus can be used to predict the monthly stock returns of the Saudi Stock Index.…”
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Grading Algorithm for Orah Sorting Line Based on Improved ShuffleNet V2 by Yifan Bu, Hao Liu, Hongda Li, Bryan Gilbert Murengami, Xingwang Wang, Xueyong Chen

“…This study proposes a grading algorithm for Orah sorting lines based on machine vision and deep learning. …”
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