Method-Level Syntactic and Semantic Clustering for Microservice Discovery in Legacy Enterprise Systems by Adambarage Anuruddha Chathuranga de Alwis, Alistair Barros, Colin Fidge, Artem Polyvyanyy

“…Semantically, business objects derived from databases form the basis for prospective clustering of those methods that act on them as modules, while on a syntactic level, structural and interaction details between the methods themselves provide further insights into module dependencies for grouping, based on K-means clustering and optimization. …”
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Derivation and application of analytical model for engineering optimization of drainage well hole in coal seam roof aquifer by Zhenfang ZHOU

“…A comprehensive optimization method for drainage well hole engineering is proposed, which is applied to a typical case working face in Yuanyanghu Mining Area of Ningdong Coal Field. …”
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Potential accuracy of quasi-optimal radar meters of angular coordinates with scanning multi-channel antenna system by S. V. Kozlov, Vu Thanh Ha

“…In case of large correlation intervals, the distribution significantly differs from normal and acquires a large positive kurtosis and asymmetry with their values depending on the angular differences of the interference source and the target. The obtained expressions can be used to evaluate the effectiveness of quasi-optimal radar meters in the conditions of external interference and in the complex modeling of radar facilities with such meters included.…”
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects by Kim Junhyeong, Kim Jae-Yong, Kim Jungmin, Hyeong Yun, Neseli Berkay, You Jong-Bum, Shim Joonsup, Shin Jonghwa, Park Hyo-Hoon, Kurt Hamza

“…While conventional brute-force, intuition-based forward design methods have produced successful nanophotonic solutions over the past several decades, recent developments in optimization methods and artificial intelligence offer new potential to expand these capabilities. …”
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The Jackknife method as a new approach to validate strong lens mass models by Shun Nishida, Masamune Oguri, Yoshinobu Fudamoto, Ayari Kitamura

“…In this approach, we remove multiple images of a source from the fitting and optimize the mass model using multiple images of the remaining sources. …”
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Short-Term Prediction of Ship Heave Motion Using a PSO-Optimized CNN-LSTM Model by Guowei Li, Gang Tang, Jingyu Zhang, Qun Sun, Xiangjun Liu

“…This paper presents a prediction method of ship heave motion based on the particle swarm optimization (PSO) and convolutional neural network–long short-term memory (CNN-LSTM) hybrid prediction model. …”
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Optimizing irrigation and nitrogen fertilization for winter wheat using the AquaCrop model and water footprint analysis by JIA Yifan, WANG Hao, HAN Ce, XU Zhenghe, LIU Yuyu

“…This paper presents a method for optimizing irri-gation strategies for winter wheat production under varying nitrogen application rates in different hydrological years using the AquaCrop model. …”
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Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

“…Secondly, to mitigate the adverse impact of irrelevant features on model performance in traditional software defect prediction methods, this study introduces a binary multi-strategy enhanced Parrot Optimization algorithm (BMEPO) for optimizing feature selection. …”
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Multi-Objective Optimization for Volt-Var Parameter Tuning: Reducing Losses and Voltage Unbalance in Distribution Systems by Arthur E. S. Ribeiro, Francisco C. R. Coelho, Wesley Peres

“…The proposed method jointly optimizes the active power output of dispatchable DG units and the Volt-Var control parameters of photovoltaic (PV) inverters to minimize power losses and voltage unbalance, ensuring compliance with the 2% limit set by Brazilian regulations. …”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids by Alessandro Niccolai, Silvia Trimarchi, Lisa Francesca Barbazza, Alessandro Gandelli, Riccardo Zich, Francesco Grimaccia, Sonia Leva

“…The growing penetration of renewable energy sources into electricity grids, along with the problems linked to the electrification of rural areas, has drawn more attention to the development of microgrids. …”
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Cultivation Optimization and Structural Characterization of <i>Stephanocyclus meneghinianus</i> for Sustainable High-Quality Biosilica Production by Daeryul Kwon, Yoseph Seo, Chaehong Park, Sang Deuk Lee, Taek Lee

“…This study investigates the potential use of the freshwater centric diatom <i>Stephanocyclus meneghinianus</i> as a sustainable source of high-purity biosilica. We analyzed its morphology, microstructure, and optimal culture conditions, and developed a pretreatment method to recover intact biosilica frustules. …”
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Development of Sour Flavored Noni Juice Using Lactic Acid Compound as a Fermentation Media and Optimation by Jakfar Jakfar*, Husni Husin, Fahrizal Nasution, Ahmadi Ahmadi

“…The focus of this research is to optimize the effects of various concentrates of Aceh noni X1 (10–20 ml), lactose from UHT (ultra-high temperature) milk, and Yakult as a source of Lactobacillus casei X2 (10–25 ml) and X3 (2.5–10 ml). …”
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Screening and Optimization of L-Methioninase Production by Gram-Negative Bacteria from Various Hospitals in Baghdad City by Zahraa Mohammed Wahib, Sahira Nsayef Muslim, Farha A. Ali Shafi

“…L-methioninase had received a lot of interest for its importance, so to improve the production of L-methioninase, media optimization was done. In this study, clinical isolates of gram-negative bacteria have been collected from several hospitals located in Baghdad city, these isolates were Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, Acinetobacter baumannii and Serratia marcescens. …”
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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…Ambient light interference stands as the primary source of noise encountered by the light detection and ranging (LiDAR) systems based on single-photon avalanche diode (SPAD), which seriously restricts the detection range and accuracy of sensors. …”
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Proactive detection of anomalous behavior in Ethereum accounts using XAI-enabled ensemble stacking with Bayesian optimization by Vasavi Chithanuru, Mangayarkarasi Ramaiah

“…The decentralized, open-source architecture of blockchain technology, exemplified by the Ethereum platform, has transformed online transactions by enabling secure and transparent exchanges. …”
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Extraction Process Optimization of Flavonoids from Lycium barbarum Root and Its Antioxidant and Hypoglycemic Activities in Vitro by Jiayi WEI, Lu LU, Lutao ZHANG, Bo JIN, Haoqi NING, Yanping LI, Jia MI, Yamei YAN

“…The optimization of the ethanol extraction method for Lycium barbarum root flavonoids was based on the total flavonoid content. …”
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Multi-objective optimization of graphene far-infrared paddy drying process based on response surface methodology by Jiyou An, Yuanjie Du, Jianchun Yan, Hai Wei, Huanxiong Xie

“…The Box–Behnken response surface methodology and expectation function method were employed to model and optimize the quality of far-infrared drying of paddy graphene. …”
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Optimizing yield properties of bitter melon (Momordica charantia L.) plant by integrative application of poultry manure by Gulsum Yaldiz, Mahmut Camlica, Deniz Dasdemir

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Enhancing Energy Efficiency Utilized IoT: Power Optimization and Energy Harvesting Techniques for Sustainable and Resilient Systems by Dhafer Yaseen, Hasan Qays, Hasnaa Abdulkareem, Falah Ahmed

“…This study talks about the methods for optimizing power usage and harnessing energy to improve efficiency within networks shown in 2 and 2.1. …”
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A bioprocess optimization study to enhance the production of Menaquinone-7 using Bacillus subtilis MM26 by Maneesha M, Subathra Devi C

“…The one factor at a time (OFAT) results showed that medium containing lactose, glycine, with a pH 7, a temperature of 37 °C, and an inoculum size of 2.5% (2 × 10⁶ CFU/mL) was optimal synthesis of MK-7. RSM indicated that incubation time, carbon and nitrogen sources were the factors significantly affecting the MK-7 yield. …”
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