A neo-cooperation search based evolutionary algorithm for multi-objective electric rope shovel production scheduling by Jue Zhang, Haifeng Yue, Yongpeng Wang, Ruhan Guo, Shuai Shao

“…In the manufacturing process of electric rope shovels, an extensive array of components need to be processed. …”
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Exponential GPR based power prediction for solid oxide fuel cell under H₂ and O₂ flow maloperation by Saketh Danturti, Pratyasha Mishra, Nimisha Mishra, Saranya S T, Buddhadeva Sahoo, Pritam Bhowmik

“…This paper presents an innovative approach to predict the active and reactive power produced by the SOFC through some well adopted machine learning techniques like Support Vector Machines (SVM), Trilayered Neural Networks (TNN), and Exponential Gaussian Process Regression (eGPR). …”
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Evolving Spiking Neural Network Model for PM2.5 Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai by Hengyuan Liu, Guibin Lu, Yangjun Wang, Nikola Kasabov

“…Furthermore, inadequate processing of the available spatio-temporal data has precluded the capture of predictive historical patterns. …”
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Study on Zero-Doppler Centroid Control for GEO SAR Ground Observation by Yicheng Jiang, Bin Hu, Yun Zhang, Meng Lian, Zhuoqun Wang

“…In geosynchronous Earth orbit SAR (GEO SAR), Doppler centroid compensation is a key step for imaging process, which could be performed by the attitude steering of a satellite platform. …”
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Intrusion detection algorithm of wireless network based on network traffic anomaly analysis by Xiangqian Nie, Jiao Xing, Qimeng Li, Fan Xiao

“…These features are analyzed by an intrusion detection module combining particle swarm optimization and support vector machine algorithms. Experimental results demonstrate that the algorithm efficiently extracts traffic anomalies, accurately detects attack duration and traffic volume changes in compromised nodes, and maintains a false detection rate below 6 %.…”
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Dual-Language Sentiment Analysis: A Comprehensive Evaluating SVM, Logistic Regression, XGBoost, and Decision Tree Using TF-IDF On Arabic and English Dataset by Hawraa Ali Taher

“…This search helps the user to access the evaluation of other users through their tweets and comments on the social networking site for an opinion immediately and automatically, and then the process of uploading and evaluating the opinions using appropriate algorithms for this purpose as(Decision Tree classifier DTC , XGboost, Logistic Regression LR, Support Vector Machine SVM )with Term Frequency-Inverse Document Frequency TF_IDF …”
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Diabetic Retinopathy Detection Using DL-Based Feature Extraction and a Hybrid Attention-Based Stacking Ensemble by Sanjana Rajeshwar, Shreya Thaplyal, Anbarasi M., Siva Shanmugam G.

“…Image processing extracts critical features from retinal images, acting as early warning signs for DR. …”
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Real-World Steam Powerplant Boiler Tube Leakage Detection Using Hybrid Deep Learning by Salman Khalid, Muhammad Muzammil Azad, Heung Soo Kim

“…This study proposes a hybrid deep learning approach that combines convolutional neural networks (CNNs) with a support vector machine (SVM) classifier to allow early and accurate leak detection. …”
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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 analysis of heart sound patterns is performed using support vector machine classifier showing promising results (above 95% accuracy). …”
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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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Self-Adaptive and Relaxed Self-Adaptive Projection Methods for Solving the Multiple-Set Split Feasibility Problem by Ying Chen, Yuansheng Guo, Yanrong Yu, Rudong Chen

“…The multiple-set split feasibility problem (MSSFP) proposed by Censor is to find a vector such that , where is a given real matrix. …”
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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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