Comparative study on Functional Machine learning and Statistical Methods in Disease detection and Weed Removal for Enhanced Agricultural Yield by Sudha D., Menaga D.

“…The present farming situation is above the average of the process involves more biochemical bases for managing the diseases and other destructing facts. …”
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Interleukin-17 retinotoxicity is prevented by gene transfer of a soluble interleukin-17 receptor acting as a cytokine blocker: implications for age-related macular degeneration. by Daniel Ardeljan, Yujuan Wang, Stanley Park, Defen Shen, Xi Kathy Chu, Cheng-Rong Yu, Mones Abu-Asab, Jingsheng Tuo, Charles G Eberhart, Timothy W Olsen, Robert F Mullins, Gary White, Sam Wadsworth, Abraham Scaria, Chi-Chao Chan

“…IL17-dependent retinal degeneration in a mouse model of focal retinal degeneration can be prevented by gene therapy with adeno-associated virus vector encoding soluble IL17 receptor. This intervention rescues RPE and photoreceptors in a MAPK-dependent process. …”
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RStoolbox: An R package for remote sensing data analysis by Konstantin Müller, Jakob Schwalb‐Willmann, Martin Wegmann, Benjamin Leutner

“…Therefore, it is crucial to not only gather data but also to analyse, visualize and present the findings. rstoolbox R package offers a suite of functions for (a) preprocessing, (b) analysis and (c) visualization of (multi‐band) remote sensing data, implementing state‐of‐the‐art methods such as unsupervised and supervised classification, or spectral unmixing or change vector analysis. Thereby, rstoolbox enables various levels of users, from students to experts, to process and scientifically analyse different kinds of remote sensing data within a single programming environment. …”
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Advancements and Future Prospects of CRISPR-Cas-Based Population Replacement Strategies in Insect Pest Management by Yu Zhao, Longfeng Li, Liangzi Wei, Yifan Wang, Zhilin Han

“…Population replacement refers to the process by which a wild-type population of insect pests is replaced by a population possessing modified traits or abilities. …”
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A Study on the Effect of Plastic Strain on Magnetic Phenomenology and Microstructure by Mehrija Hasičić, Spyridon Angelopoulos, Aphrodite Ktena, Evangelos Hristoforou

“…In particular, we study the effect of strain on the magnetization process as a result of varying the anisotropy profile at the grain level. …”
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Identification of S1 and S2 Heart Sound Patterns Based on Fractal Theory and Shape Context by Ana Gavrovska, Goran Zajić, Vesna Bogdanović, Irini Reljin, Branimir Reljin

“…The obtained results suggest that it is possible to improve the identification process using the shape related methods which are rarely applied. …”
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Photocatalytic methane conversion to high-value chemicals by Youxun Xu, Enqi Chen, Junwang Tang

“…As a very abundant carbon and hydrogen source, as well as an energy vector, upgrading methane to higher-value fuels and chemicals (carbon oxygenates, C2+ hydrocarbons, etc.) is a promising technology in the supply of energy and chemicals by a low-carbon process. …”
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Efficient CNN architecture with image sensing and algorithmic channeling for dataset harmonization by Khadija Kanwal, Khawaja Tehseen Ahmad, Aiza Shabir, Li Jing, Helena Garay, Luis Eduardo Prado Gonzalez, Hanen Karamti, Imran Ashraf

“…Abstract The process of image formulation uses semantic analysis to extract influential vectors from image components. …”
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The Dissolved Oxygen Prediction Method Based on Neural Network by Zhong Xiao, Lingxi Peng, Yi Chen, Haohuai Liu, Jiaqing Wang, Yangang Nie

“…The input layer, hidden layer, and output layer are introduced in detail including the weight adjustment process. The breeding data of three ponds in actual 10 consecutive days were used for experiments; these ponds were located in Beihai, Guangxi, a traditional aquaculture base in southern China. …”
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Implementation of Energy-saving Technologies in House construction by E. I. Krupnov, I. A. Zaytseva, S. A. Loginova, A. V. Simagin

“…Currently, the potential of heat pumps in the field of energy saving and CO2 emission reduction remains largely untapped, which sets the vector for further research.…”
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Functional Principal Components Analysis of Shanghai Stock Exchange 50 Index by Zhiliang Wang, Yalin Sun, Peng Li

“…Functional data analysis (FDA) deals with random variables (or process) with realizations in the smooth functional space. …”
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Optimization of solid-state fermentation conditions of rapeseed meal using response surface analysis combined with principal component analysis by WU Yi-fei, YAO Xiao-hong, SUN Hong, WANG Xin, TANG Jiang-wu

“…A principal component vector F₁ was obtained by principal component analysis for three quality evaluation indexes including glucosinolate degradation rate, crude protein content and peptide recovery ratio in rapeseed meal fermentation, then based on the response surface analysis of F₁, the technological parameters were optimized in the solid-state fermentation process of rapeseed meal by Bacillus subtilis BS-012. …”
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Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy by Fuming Zhou, Xiaoqiang Yang, Jinxing Shen, Wuqiang Liu

“…Firstly, PSO-VMD is adopted to process the original vibration signals of hydraulic pumps, and the appropriate components are selected and reconstructed to get the denoised vibration signals. …”
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A Real-Time Key-Finding Algorithm Based on the Signature of Fifths by Paulina KANIA, Dariusz KANIA, Tomasz ŁUKASZEWICZ

“…The distinctive features of the presented algorithm, with respect to the considered key-detection approaches, are computational simplicity and stability of the decision-making process.…”
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Interval Forecasting of Carbon Futures Prices Using a Novel Hybrid Approach with Exogenous Variables by Lu Zhang, Junbiao Zhang, Tao Xiong, Chiao Su

“…Furthermore, we set out to investigate if considering some potential predictors, which have strong influence on carbon futures prices, in modeling process is useful for achieving better prediction performance. …”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…The feature-selective scheme is achieved through a filtering operation in the source sample space followed by a projection onto the demixing vector space by a least squares projection in an iterative ICA process. …”
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Intelligent Optimized Combined Model Based on GARCH and SVM for Forecasting Electricity Price of New South Wales, Australia by Yi Yang, Yao Dong, Yanhua Chen, Caihong Li

“…However, the fluctuation of electricity price depends on other commodities and there is a very complicated randomization in its evolution process. Therefore, in recent years, although large number of forecasting methods have been proposed and researched in this domain, it is very difficult to forecast electricity price with only one traditional model for different behaviors of electricity price. …”
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Application of KTA-KELM in Fault Diagnosis of Rolling Bearing by Zhuo Wang, Wenjun Zhao, Tao Ma, Zhijun Li, Bo Qin

“…In the process of data-driven rolling bearing state identification model construction，the improper selection of the radial width parameter σ of the Gaussian kernel function in the Kernel Extreme Learning Machine（KELM）algorithm is very easy to cause poor classification accuracy. …”
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Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model by A. M. Mutawa

“…This study investigated the healthcare process during a pandemic, facilitating ML-based decision-making solutions to confront healthcare problems.…”
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Transient Stability Assessment Model With Sample Selection Method Based on Spatial Distribution by Yongbin Li, Yiting Wang, Jian Li, Huanbei Zhao, Huaiyuan Wang, Litao Hu

“…Sample selection aims to optimize the training set to speed up the training process while improving the preference of the TSA model. …”
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