Search Results - (automatic OR automatically) programming general terms algorithms

Incorporating decision-maker’s preferences into the automatic configuration of bi-objective optimisation algorithms by Diaz, Juan Esteban, López-Ibáñez, Manuel

“…•This indicator incorporates DM’s preferences into automatic algorithm configuration.•We demonstrate the effectiveness of our approach on a complex real-world problem…”
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Automatic Search-and-Replace From Examples With Coevolutionary Genetic Programming by Bartoli, Alberto, De Lorenzo, Andrea, Medvet, Eric, Tarlao, Fabiano

“…We describe the design and implementation of a system for executing search-and-replace text processing tasks automatically, based only on examples of the desired behavior…”
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An innovative neural network approach for stock market prediction by Pang, Xiongwen, Zhou, Yanqiang, Wang, Pan, Lin, Weiwei, Chang, Victor

“… To study the influence of market characteristics on stock prices, traditional neural network algorithms may incorrectly predict the stock market, since the initial weight of the random selection…”
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K-Means-Based Nature-Inspired Metaheuristic Algorithms for Automatic Data Clustering Problems: Recent Advances and Future Directions by Ikotun, Abiodun M., Almutari, Mubarak S., Ezugwu, Absalom E.

“…K-means clustering algorithm is a partitional clustering algorithm that has been used widely in many applications for traditional clustering due to its simplicity and low computational complexity…”
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Grammar-based automatic programming for medical data classification: an experimental study by Si, Tapas, Miranda, Péricles, Galdino, João Victor, Nascimento, André

“… This paper focuses on grammar-based automatic programming (GAP) to build optimized discriminant functions for medical data classification in any arbitrary language…”
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Automatic lane marking prediction using convolutional neural network and S-Shaped Binary Butterfly Optimization by Alajlan, Abrar Mohammed, Almasri, Marwah Mohammad

“…Lane detection is a technique that uses geometric features as an input to the autonomous vehicle to automatically distinguish lane markings…”
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Automatic, high accuracy prediction of reopened bugs by Xia, Xin, Lo, David, Shihab, Emad, Wang, Xinyu, Zhou, Bo

“… In general, bugs are reported in a bug tracking system, validated by a triage team, assigned for someone to fix, and finally verified and closed…”
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Automatic Semantic Segmentation and Classification of Remote Sensing Image Data for Flood Detection Using Novel LSTM Neural Network by Sonavale, Amruta, Chakkaravarthy, Midhun, Srinivasa Rao, Surampudi, Salleh, Hishamuddin Bin M., Jadhav, Jagannath

“…Floods are one of the main threats to human life and the property of natural disasters, especially in highly populated urban areas. Fast and accurate…”
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An automatic query expansion based on hybrid CMO-COOT algorithm for optimized information retrieval by Alqahtani, Abdullah Saleh, Saravanan, P., Maheswari, M., Alshmrany, Sami

“…) algorithm named as hybrid COOT-CMO for the appropriate selection of optimal candidate terms in the automatic query expansion process…”
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Automatic Programming via Iterated Local Search for Dynamic Job Shop Scheduling by Su Nguyen, Mengjie Zhang, Johnston, Mark, Kay Chen Tan

“… To overcome this problem, we develop a new approach to automatic programming…”
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A Genetic Programming Approach to System Identification of Rainfall-Runoff Models by Chadalawada, Jayashree, Havlicek, Vojtech, Babovic, Vladan

“… Genetic Programming, an evolutionary computation technique has been used for short-term prediction and forecast in the field…”
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Automatic Modulation Classification for CR Using Deep Learning by Solanki, Surendra, Brahma, Banalaxmi, Singh, Yadvendra Pratap

“…Automatic Modulation Classification holds significant importance in the realm of wireless communication systems…”
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A piecewise trajectory optimization model for connected automated vehicles: Exact optimization algorithm and queue propagation analysis by Li, Xiaopeng, Ghiasi, Amir, Xu, Zhigang, Qu, Xiaobo

“…•An analytical algorithm to find the exact solution to the simplified vehicle trajectory optimization problem…”
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Automatic near-optimal generation of software test data for critical paths by Abdi, Mina, Mardukhi, Farhad

“… Automating test data generation can significantly reduce costs and improve efficiency. While genetic algorithms and particle swarm optimization (PSO…”
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Minimum entropy collaborative groupings: A tool for an automatic heterogeneous learning group formation by Vallès-Català, Toni, Palau, Ramon

“…For some decades now, theories on learning methodologies have advocated collaborative learning due to its good results in terms of effectiveness and learning types and its promotion of educational and social values…”
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A Newton Method-Based Distributed Algorithm for Multi-Area Economic Dispatch by Qin, Jiahu, Wan, Yanni, Yu, Xinghuo, Kang, Yu

“…In this paper, we propose a novel Newton method-based distributed algorithm (NMDA), which is also effective in solving the general single-area EDP…”
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Enhanced Named Entity Recognition algorithm for financial document verification by Toprak, Ahmet, Turan, Metin

“… The verification process has challenge in terms of time and remaining bugs. A general automatic or semi-automatic document verification system would be useful…”
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Urban Road Network Extraction from Remote Sensing Images Using an Improved F Algorithm by Bendouda, Malika, Berrached, Nasreddine

“… ). GIS Map needs real time automatic updating and revisions of the road network database…”
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Particle swarm optimization-based automatic parameter selection for deep neural networks and its applications in large-scale and high-dimensional data by Ye, Fei

“…In this paper, we propose a new automatic hyperparameter selection approach for determining the optimal network configuration…”
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Developing an Automatic System for Classifying Chatter About Health Services on Twitter: Case Study for Medicaid by Yang, Yuan-Chi, Al-Garadi, Mohammed Ali, Bremer, Whitney, Zhu, Jane M, Grande, David, Sarker, Abeed

“… This study aims to develop and evaluate an automatic system involving natural language processing and machine learning to automatically characterize user-posted Twitter data about health services…”
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