Improvement of the forms of state regulation of entrepreneurial activity in the Krasnodar territory by S. Yu. Andreev, T. A. Bochkova, S. A. Mamiy

“…The article provides recommendations on improving organizational and economic forms of regional support for business entities on the territory of the Krasnodar Territory. …”
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Combination of the Improved Diffraction Nonlocal Boundary Condition and Three-Dimensional Wide-Angle Parabolic Equation Decomposition Model for Predicting Radio Wave Propagation by Ruidong Wang, Guizhen Lu, Rongshu Zhang, Weizhang Xu

“…Numeric computation and measurement results demonstrate the computational accuracy and speed of the WA-3DPE decomposition model with the improved diffraction nonlocal BC.…”
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Chemical Properties of Heterogenous Catalysts in Improving Yield of Biofuel Production by Qian Yanfei

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DCMC-UNet: A Novel Segmentation Model for Carbon Traces in Oil-Immersed Transformers Improved with Dynamic Feature Fusion and Adaptive Illumination Enhancement by Hongxin Ji, Jiaqi Li, Zhennan Shi, Zijian Tang, Xinghua Liu, Peilin Han

“…For blurred carbon trace images caused by unstable light reflection and illumination in transformer oil, an improved CLAHE algorithm is developed, incorporating learnable parameters to balance luminance and contrast while enhancing edge features of carbon traces. …”
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ISSA-Based Evaluation Method of Actual Navigation Performance of Rotorcraft Logistics Unmanned Aerial Vehicles by Fei Liu, Liang Zhao, Maolin Wang, Meiliwen Wu

“…In response to the demand for the evaluation of the actual navigation performance (ANP) of rotorcraft logistics uncrewed aerial vehicle (UAV) navigation systems in urban scenarios, this paper proposes a method for evaluating the ANP of rotorcraft logistics UAVs based on the Improved Sparrow Search Algorithm (ISSA). Taking ANP as the optimization objective, an optimization model for the ANP of rotorcraft logistics UAVs is constructed. …”
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Dynamic Classification: Leveraging Self-Supervised Classification to Enhance Prediction Performance by Ziyuan Zhong, Junyang Zhou

“…This approach allows each model to operate within a smaller data range and remove the inaccurate prediction results, thereby improving overall accuracy. …”
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A Bi-Objective Optimal Scheduling Method for the Charging and Discharging of EVs Considering the Uncertainty of Wind and Photovoltaic Output in the Context of Time-of-Use Electrici... by Xinfu Pang, Wen Jia, Haibo Li, Qingzhong Gao, Wei Liu

“…Then, the Monte Carlo method was employed to simulate electric vehicle loads and to facilitate the generation of and reduction in scenario scenes. Finally, the model was solved using an improved multi-objective barebones particle swarm optimization algorithm. …”
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Using Attention for Improving Defect Detection in Existing RC Bridges by Sergio Ruggieri, Angelo Cardellicchio, Andrea Nettis, Vito Reno, Giuseppina Uva

“…Overall, the proposal revealed its potential to improve the effectiveness of the survey, lowering the burden on surveyors and engineers and providing a reliable method to improve the overall security in large RC bridges portfolios.…”
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Research on bearing fault diagnosis based on ISA-VMD and IMSE by Feng Yan

“…This method leverages an improved sparrow search algorithm (ISSA) to optimize the variational mode decomposition (VMD) method and employs an improved multiscale sample entropy (IMSE) for fault feature extraction. …”
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Design of an efficient multi-objective recognition approach for 8-ball billiards vision system by Jiaying Gao, Qiuyang He, Hong Gao, Zhixin Zhan, Zhe Wu

“…In order to accurately locate and isolate the single ball in a local region, the improved Hough Transform (HT) algorithm and the Least Squares (LS) method are adopted in combination. …”
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Development and implementation of an automated system of optimal bar cutting at the mill 370/150 at OJSC «BSW – Management Company of the Holding «BMC» by I. A. Pankovets

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Improving lifetime of WSN using modified Moth Flame Optimization by Methaq Mahdi Ali, Razieh Asgarnezhad

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Improving the accuracy and interpretability of neural networks for wind power forecasting by Wenlong Liao, Birgitte Bak-Jensen, Zhe Yang, Gonghao Zhang, Jiannong Fang, Fernando Porté-Agel

“…To address these two challenges, this paper firstly proposes simple but effective triple optimization strategies (TriOpts) to accelerate the training process and improve the model performance of DNNs in wind power forecasting. …”
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Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

“…To address these challenges, we employed several customized convolutional neural networks (CNNs), including Parallel convolutional neural network (PCNN), Soft Attention Parallel Convolutional Neural Networks (SPCNN), and Soft Attention after Functional Block Parallel Convolutional Neural Networks (SFPCNN), to improve the effectiveness of malaria diagnosis. Among these, the SPCNN emerged as the most successful model, outperforming all other models in evaluation metrics. …”
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A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

“…A clustering approach is employed to group users with similar consumption patterns resulting in 107 models. Effectiveness of models is validated with eight deep learning algorithms trained for two forecasting horizons. …”
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Does syndromic surveillance assist public health practice in early detecting respiratory epidemics? Evidence from a wide Italian retrospective experience by Giovanni Corrao, Andrea Stella Bonaugurio, Giorgio Bagarella, Mauro Maistrello, Olivia Leoni, Danilo Cereda, Andrea Gori

“…Methods: Healthcare Utilization databases of the Italian region of Lombardy and the Google Trends website were used to measure the weekly utilization of emergency and healthcare services and determining the volume of Google searches from 2020 to 2022. Improved Farrington algorithm (IMPF) and Exponentially Weighted Moving Average (EWMA) control chart were both fitted to detect outliers in weekly searches of nine syndromic tracers. …”
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The Optimization of Supply–Demand Balance Dispatching and Economic Benefit Improvement in a Multi-Energy Virtual Power Plant within the Jiangxi Power Market by Tang Xinfa, Wang Jingjing, Wang Yonghua, Wan Youwei

“…The primary objective of this method is to improve the operational efficiency of the power grid, reduce energy costs, and facilitate economical and efficient energy distribution in the power market. …”
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Improving earthquake prediction accuracy in Los Angeles with machine learning by Cemil Emre Yavas, Lei Chen, Christopher Kadlec, Yiming Ji

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Improving the Efficiency and Quality of Education as the Basis for Successful Digitalization of the Economy by I. I. Shpak, S. N. Kasanin, A. S. Stepanets

“…The most important conditions are considered and the main ways are analyzed to significantly increase the efficiency of modern vocational education while simultaneously improving its quality. The necessity of using adaptive educational technologies is   substantiated, the features of algorithmization of the adaptive learning process are shown in order to improve its quality, and ways of creating an effective model of the professional field for adaptive educational systems are  analyzed. …”
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Econometric Modeling Combining MCMC Algorithm and Random Coefficient Quantile AR Model by Ting Wang

“…In summary, the fusion algorithm proposed in the study can improve the prediction efficiency of econometric models, accelerate the prediction process, optimize economic benefits, and reduce investment risks for enterprises and individuals.…”
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