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2141
Metaheuristic Optimization of Agricultural Machinery for the Colombian Carnation Industry
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2142
Modeling and computing experiment in the problem of predicting the per capita monetary income of the population based on the methods of correlation and regression analysis
Published 2022-09-01“…Created algorithmic software based on the regression models and methodology for conducting the corresponding computational experiment can be used in other applications of economic-mathematical modeling.…”
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2143
Research on SBMPC Algorithm for Path Planning of Rescue and Detection Robot
Published 2020-01-01“…Sampling-Based Model Predictive Control (SBMPC) algorithm is proposed basing on the construction of cost function and predictive kinematics model. …”
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2144
Algorithmic Collusion: Corporate Accountability and the Application of Art. 101 TFEU
Published 2025-01-01“…Corporate accountability for algorithmic behaviour. - ii.1. Predictable agent scenario. - ii.2. …”
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2145
Algorithm for Determining the Position of a Ship Hull-Cleaning Robot
Published 2025-05-01“…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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2146
Adaptive Top-K Algorithm for Medical Conversational Diagnostic Model
Published 2024-08-01“…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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2147
Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities
Published 2025-01-01“…These algorithms analyze real-time data from sensors and IoT devices to predict energy demand, enabling dynamic load balancing and reducing waste. …”
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2148
Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms
Published 2024-06-01“…This study explores optimizing Artificial Neural Network (ANN) parameters using meta-heuristic algorithms instead of traditional gradient-based methods to predict residential electricity consumption across different seasons. …”
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2149
Research on Classification of Rail Defects Based on Image Processing Algorithm
Published 2020-07-01“…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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2150
Genetic Algorithm Based Hybrid Fuzzy System for Assessing Morningness
Published 2014-01-01“…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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2151
LRST: searching tree anti-collision algorithm with low-redundancy
Published 2014-06-01“…To resolve this problem, a searching tree anti-collision algorithm with low-redundancy on the basis of regressive-style dynamic searching tree algorithm was proposed. …”
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2152
Information Theory in Perception of Form: From Gestalt to Algorithmic Complexity
Published 2025-04-01Get full text
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2153
Fast panoramic image stitching algorithm based on parameter regression
Published 2023-09-01“…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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2154
Influence maximization algorithm of social networks based on Transformer model
Published 2024-12-01“…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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2155
Demonstration of Algorithmic Quantum Speedup for an Abelian Hidden Subgroup Problem
Published 2025-06-01“…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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2156
Resource Allocation Algorithm Based on Profit Maximization for Crowd Sensing
Published 2015-06-01“…The experimental results show that the new algorithm is feasible and superior to the traditional algorithms.…”
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2157
Construction and Analysis of Macroeconomic Forecasting Model Based on Biclustering Algorithm
Published 2022-01-01“…The result of the biclustering algorithm has its unique advantages in mining the commonalities of various provinces under certain attribute sets.…”
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2158
Analysis of Brand Visual Design Based on Collaborative Filtering Algorithm
Published 2022-01-01“…Finally, the collaborative filtering algorithm is optimized to improve the consumer similarity based on the original algorithm. …”
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2159
Algorithm of Estimating Import-Substitution Based on Costs – Output Tables
Published 2021-05-01“…The designed algorithm can be used as a support system for decision-making in importsubstitution policy.…”
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2160
A Partition-Based Hybrid Algorithm for Effective Imbalanced Classification
Published 2025-04-01“…The algorithm identifies different data types, pairs them, and trains multiple models, which then vote on predictions using weighted strategies to ensure stable performance and minimize overfitting. …”
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