Research on Fire Detection of Cotton Picker Based on Improved Algorithm by Zhai Shi, Fangwei Wu, Changjie Han, Dongdong Song

“…The improved fusion algorithm is used as a learning algorithm to optimize the BP neural network, and the optimized network is used to process and predict the data collected from temperature and gas sensors, which effectively improves the accuracy of fire prediction. …”
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Algorithm for Determining the Position of a Ship Hull-Cleaning Robot by Konrad Chwełatiuk, Anna Kubina, Marcin Michalak, Marek Sikora, Piotr Ściegienka, Łukasz Wróbel

“…The paper explores the development and evaluation of algorithms for the positioning of ship hull cleaning robots, focusing on machine learning and sensor fusion techniques. …”
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Small sample data pricing research based on Reptile algorithm by Junxin Shen, Yi Yang, Fanghao Xiao

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An Optimal Algorithm for Renewable Energy Generation Based on Neural Network by Weihua Zhao, Imran Khan, Shelily F. Akhtar, Mujahed Al-Dhaifallah

“…The results show that the proposed algorithm has technological applications and may greatly improve prediction accuracy.…”
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Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model by Yiqing Yang, Guoyin Zhang, Yanxia Wu, Zhixiang Zhao, Yan Fu

“…In recent years, conversational diagnostic systems have been used to predict diseases through symptom checking. Early systems predicted the likelihood of a single disease by minimizing the number of questions asked. …”
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Artificial Intelligence Algorithm for Optimal Time Series Data Model by Kang Wang

“…Based on the characteristics, the theory and algorithm of model selection are proposed. The model selection theory and algorithm in this paper is used for empirical analysis. …”
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Development of deep learning algorithm for detecting dyskalemia based on electrocardiogram by Jung Nam An, Minje Park, Sunghoon Joo, Mineok Chang, Do Hyoung Kim, Dong Geum Shin, Yeongyeon Na, Jwa-Kyung Kim, Hyung-Seok Lee, Young Rim Song, Yeha Lee, Sung Gyun Kim

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Fast view synthesis optimization algorithm based on texture smoothness by Huan DOU, Ke-bin JIA, Rui-lin CHEN, Yun-zhi XIAO, Qiang WU

“…A fast algorithm was proposed in order to reduce the v ew synthesis optimization (VSO) process in depth cod-ing for 3D-HEVC based on texture map smoothness.With the coding nformation derived from texture video sequences,the pixel regularity of smooth texture region was analyzed to set the skip rule using the properties of intra DC prediction and statistical methods.Then the depth regions corres to the flat texture map regions could be extracted and the VSO process of pixels belonging to this type of depth could be skipped.Experimental results show the effective-ness of the proposed algorithm.…”
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Fast view synthesis optimization algorithm based on texture smoothness by Huan DOU, Ke-bin JIA, Rui-lin CHEN, Yun-zhi XIAO, Qiang WU

“…A fast algorithm was proposed in order to reduce the v ew synthesis optimization (VSO) process in depth cod-ing for 3D-HEVC based on texture map smoothness.With the coding nformation derived from texture video sequences,the pixel regularity of smooth texture region was analyzed to set the skip rule using the properties of intra DC prediction and statistical methods.Then the depth regions corres to the flat texture map regions could be extracted and the VSO process of pixels belonging to this type of depth could be skipped.Experimental results show the effective-ness of the proposed algorithm.…”
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DEVELOPMENT AND TESTING OF ALGORITHM FOR CALCULATION OF OPERATING PARAMETERS OF TRAWLING SYSTEMS by E. A. Zakharov, O. N. Kruchinin, D. L. Shabelsky

“…This algorithm and the program for calculation of operating parameters could be used for trawl designing, in accounting surveys to determine the trawl opening, and in educational process for training the industrial fishery scholars.…”
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Development of an Algorithm to Determine the Most Efficient Trajectories in Directional Wells by R.R. Francisco, M. Bertuzzi, G.V.V. Ramlov, L.A. Alves, C.E. Metzler

“…To achieve this, the model is based on fundamental principles of mechanics and takes into account factors such as well geometry and the neutral buckling point to define the drill collar length required to avoid structural failures. This algorithm has potential applications in academic research and industry to improve directional drilling strategies, as it can also be used as an educational tool in engineering and applied physics courses.…”
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Monte Carlo Simulation on Adiabatic Ensembles and a Genetic Algorithm by Fernando M. S. Silva Fernandes

“…This paper concerns interactive Monte Carlo simulations for adiabatic ensembles and a genetic algorithm to research and educational contexts. In the Introduction, we discuss some concepts of thermodynamics, statistical mechanics and ensembles relevant to molecular simulations. …”
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Recommendation algorithm based on GMM clustering and FOA-GRNN model by Yipeng LI, Yeli RUAN, Jie ZHANG

“…Aiming at the problem of low recommendation accuracy caused by sparse data in traditional item-based recommendation algorithm,a recommendation algorithm based on GMM clustering and FOA-GRNN model is proposed.The algorithm firstly uses Gaussian mixture model (GMM) to cluster the item features,then constructs the score matrix according to the clustering results,and fills the score matrix with slope one algorithm.Finally,the user's score based on similarity prediction is taken as input,and the final score is output through FOA-GRNN model.Experimental results based on movielens-2k dataset show that the proposed algorithm can deal with highly sparse data better and has better recommendation accuracy than the other three algorithms.…”
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Research on Classification of Rail Defects Based on Image Processing Algorithm by Mengying HUANG, Jiangping LUO, Wenxing WANG, Jingwei CAO

“…Finally, the category of untrained defects could be predicted by the optimal classification function. The experimental results showed that the proposed algorithm achieved high accuracy in the classification of rail defect images.…”
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Application of Decision Tree-Based Classification Algorithm on Content Marketing by Yi Liu, Shuo Yang

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Genetic Algorithm Based Hybrid Fuzzy System for Assessing Morningness by Animesh Biswas, Debasish Majumder

“…In this paper, genetic algorithm is used to tune the parameters of a Mamdani fuzzy inference model to minimize error with their predicted outputs for assessing morningness of people.…”
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Information Theory in Perception of Form: From Gestalt to Algorithmic Complexity by Daniel Algom, Daniel Fitousi

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Fast panoramic image stitching algorithm based on parameter regression by Fan GUO, Xiaohu LI, Wentao LIU, Jin TANG

“…In reality, the field of view of images acquired by cameras was usually limited, and the demand for panoramic images was increasing.Therefore, a fast panoramic image stitching algorithm based on parameter regression was proposed for panoramic image sequences.The traditional image registration task was transformed into deep learning combined with machine learning, a multi-scale deep convolutional neural network (MDCNN) based on Gaussian difference pyramid was designed to extract features of stitching images, and LightGBM regression model was used to predict stitching parameters.The transformation matrix and the focal length of the camera were obtained to align the images, and a hyperbolic image fusion algorithm was designed to eliminate the stitching seam between the images.The experimental results show that the proposed algorithm can quickly mosaic images and obtain clearer and more natural panoramic mosaic effects than the existing representative algorithms.It also has good adaptability for infrared images.…”
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Influence maximization algorithm of social networks based on Transformer model by YU Shuke, YAO Yao, YAN Chenxue

“…The network topology structure based influence maximization algorithms are greatly influenced by the network structure, which leads to unstable performance of social networks of different scales and different topology structures. …”
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Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem by Phattharaporn Singkanipa, Victor Kasatkin, Zeyuan Zhou, Gregory Quiroz, Daniel A. Lidar

“…For sufficiently small values of w and for circuits involving up to 58 qubits, we demonstrate an exponential speedup, albeit of a lower quality than the speedup predicted for the noiseless algorithm. The speedup exponent and the range of w values for which an exponential speedup exists are significantly enhanced when the computation is protected by dynamical decoupling. …”
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