Suchergebnisse - Performance Keywords Genetic Programming

KBL: a golden keywords-based query reformulation approach for bug localization von Cai, Biyu, Zou, Weiqin, Meng, Qianshuang, Xu, Hui, Zhang, Jingxuan

“… Specifically, we first leverage the genetic algorithm and keywords refinement heuristic rules to build a golden keywords benchmark targeted at bug localization …”
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Developing numerical equality to regional intensity–duration–frequency curves using evolutionary algorithms and multi-gene genetic programming von Citakoglu, Hatice, Demir, Vahdettin

“… region utilizing Multi-Gene Genetic Programming (MGGP) method. Finally, Kruskal–Wallis (KW) test was applied to the IDF values obtained from the methods and the observed values …”
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Robust Portfolio Mean-Variance Optimization for Capital Allocation in Stock Investment Using the Genetic Algorithm: A Systematic Literature Review von Fransisca, Diandra Chika, Sukono, Chaerani, Diah, Halim, Nurfadhlina Abdul

“… ) in stock investment utilizing genetic algorithms (GAs). The SLR covered studies from 1995 to 2024, allowing a thorough analysis of the evolution and effectiveness of robust portfolio optimization methods over time …”
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Using Genetic Programming to Identify Characteristics of Brazilian Regions in Relation to Rural Credit Allocation von Araújo, Adolfo Vicente, Mota, Caroline, Siraj, Sajid

“… Through genetic programming, a model was developed using user-defined terms to identify the importance and priority of each criterion used for each region …”
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The forgotten role of search queries in IR-based bug localization: an empirical study von Rahman, Mohammad Masudur, Khomh, Foutse, Yeasmin, Shamima, Roy, Chanchal K.

“… On the other hand, there is a piece of recent evidence that suggests that even these natural language-only reports contain enough good keywords that could help localize the bugs successfully …”
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Optimization of Just-In-Sequence Supply: A Flower Pollination Algorithm-Based Approach von Bányai, Tamás, Illés, Béla, Gubán, Miklós, Gubán, Ákos, Schenk, Fabian, Bányai, Ágota

“… The performance, reliability, availability and cost efficiency are based on the parameters of the members of the supply chain process …”
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Voltage Optimization in Active Distribution Networks—Utilizing Analytical and Computational Approaches in High Renewable Energy Penetration Environments von Alshehri, Mohammed, Yang, Jin

“… ) as a highlighted example. It covers a comprehensive analysis of various innovative strategies and optimization algorithms aimed at mitigating voltage fluctuations, optimizing network performance, and integrating smart …”
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Performance of genetic programming optimised Bowtie2 on genome comparison and analytic testing (GCAT) benchmarks von Langdon, W B

“… With this in mind, we recently demonstrated a genetic programming based automated technique which generated a version of the state-of-the-art alignment tool Bowtie2 which was considerably faster …”
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A review of machine efficiency in mass customization von James, C.D, Mondal, Sandeep

“… Purpose The purpose of this paper is to address the gap between definition and practical aspects of production efficiency in mass customization (MC). The paper …”
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Automated System-Level Malware Detection Using Machine Learning: A Comprehensive Review von Gyamfi, Nana Kwame, Goranin, Nikolaj, Ceponis, Dainius, Čenys, Habil Antanas

“… Malware poses a significant threat to computer systems and networks. This necessitates the development of effective detection mechanisms. Detection mechanisms …”
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Airline schedule planning: a review and future directions von Eltoukhy, Abdelrahman E.E, Chan, Felix T.S, Chung, S.H

“… The search process was conducted in database searches using four keywords: “Flight scheduling,” “Fleet assignment,” “Aircraft maintenance routing …”
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Genetic programming for predictions of effectiveness of rolling dynamic compaction with dynamic cone penetrometer test results von Ranasinghe, R.A.T.M., Jaksa, M.B., Pooya Nejad, F., Kuo, Y.L.

“… For this, in this context, a prediction model is developed based on linear genetic programming (LGP …”
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RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records von Cai, Jie, Chen, Shenglin, Guo, Siyun, Wang, Suidong, Li, Lintong, Liu, Xiaotong, Zheng, Keming, Liu, Yudong, Chen, Shiling

“… Background The ovarian reserve is a reservoir for reproductive potential. In clinical practice, early detection and treatment of premature ovarian decline …”
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A Comparative Study of Random Forest and Genetic Engineering Programming for the Prediction of Compressive Strength of High Strength Concrete (HSC) von Farooq, Furqan, Nasir Amin, Muhammad, Khan, Kaffayatullah, Rehan Sadiq, Muhammad, Faisal Javed, Muhammad Faisal, Aslam, Fahid, Alyousef, Rayed

“… This study uses an ensemble random forest (RF) and gene expression programming (GEP) algorithm for the compressive strength prediction of high strength concrete …”
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Applied Machine Learning

“… This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of …”
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Understanding the domain of driving distraction with knowledge graphs von Xu, Wenxia, Feng, Lei, Ma, Jun

“… This paper aims to provide insight into the driving distraction domain systematically on the basis of scientific knowledge graphs. For this purpose, 3,790 …”
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Blockchain-based healthcare management system with two-side verifiability von Tan, Tian Lim, Salam, Iftekhar, Singh, Madhusudan

“… The lack of data outsourcing in healthcare management systems slows down the intercommunication and information sharing between different entities. A standard …”
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GEP-EpiSeeker: a gene expression programming-based method for epistatic interaction detection in genome-wide association studies von Peng, Yu Zhong, Lin, Yanmei, Huang, Yiran, Li, Ying, Luo, Guangsheng, Liao, Jianping

“… epistatic interactions using Gene Expression Programming. In GEP-EpiSeeker, we propose several tailor-made chromosome rules to describe SNP combinations, and incorporate …”
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Short-term impacts of embryonic thermal manipulation in mule duck, a kinetic study: new tools for metabolic programming von Andrieux, C., Biasutti, S., Zwick, LL, Marchand, M., Panserat, S., Houssier, M.

“… Background Temperature changes during embryogenesis, through a process called embryonic thermal programming, can modify the long-term thermotolerance of broilers or the hepatic metabolism of mule ducks …”
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Feeding dried distillers grains with solubles to lactating beef cows: impact of excess protein and fat on cow performance, milk production and pre-weaning progeny growth von Shee, C. N., Lemenager, R. P., Schoonmaker, J. P.

“… ), from calving until day 129 postpartum (PP) to determine effects of excess protein and fat on cow performance, milk composition and calf growth …”
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