Early Detection of Verticillium Wilt in Cotton by Using Hyperspectral Imaging Combined with Recurrence Plots by Fei Tan, Xiuwen Gao, Hao Cang, Nianyi Wu, Ruoyu Di, Jingkun Yan, Chengkai Li, Pan Gao, Xin Lv

“…The results showed that the XGBoost model, based on the first five principal components obtained from the texture features, achieved accuracy, precision, recall, and F1-score of 96.3%, 95.6%, 96%, and 95.8%, demonstrating a high classification capability. …”
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Review of prime issues in big data storage by Zhi Zhou, Javad Pourqasem, Shadi Sayadmanesh

“…Developing the scale and increasing the data set, make the reliability and availability principal affairs to access process and data achievement. …”
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Adaptive Extraction of Oil Painting Texture Features Based on Reaction Diffusion Equation by Qicai Huang

“…The new model contains two reaction diffusion equations with different principal parts. One principal part is total variation diffusion, which is used to remove noise. …”
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Une enquête au cœur de l’œuvre flaubertienne : les études critiques et génétiques de Giovanni Bonaccorso by Stella Mangiapane

“…This article illustrates the innovative issues and achievements of the critical and genetic studies Giovanni Bonaccorso conducted on Flaubert’s works. …”
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Ultrasubwavelength Ferroelectric Leaky Wave Antenna in a Planar Substrate-Superstrate Configuration by G. Lovat, P. Burghignoli, R. Araneo, S. Celozzi

“…The possibility of achieving directive fan-beam radiation with planar Fabry-Pérot cavity antennas constituted by an upper ferroelectric thin film and a lower ground plane having ultrasubwavelength thickness is studied by means of a simple transverse-equivalent-network approach and a cylindrical leakywave analysis, deriving simple design formulas. …”
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Predicting Screening Efficiency of Probability Screens Using KPCA-GRNN with WP-EE Feature Reconstruction by Qingtang Chen, Yijian Huang

“…Following the extraction of two core principal components, model parameters when KPCA’s σ2 = 0.85, the optimal parameter of GRNN model Spread = 0.051, and the optimal number of training samples N = 19, the average prediction error is 1.434%, the minimum prediction error reaching 0.708%, the minimum root mean square error reaching 0.836% and Pearson correlation coefficient marking the closest to 1, these result all representing the optimum achievable values. …”
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Presenting the Model of Eco-Leadership in Elementary Schools with an Interpretive Phenomenological Approach by Adel Zahed babolan, Seyyedmohammad Seyyedkalan

“…They were selected using a targeted snowball sampling method to reach 23 participants until theoretical saturation was achieved. The data collection tool was a semi-structured interview developed based on the understanding and experiences of teachers and school principals in different regions of Ardabil province. …”
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Cancer, Natural Products and Nanodrug Delivery Systems by Yong Sze Ong, Loh Teng-Hern Tan

“… As an offshoot of nanotechnology, nanomedicine has made great impact in the field of pharmaceutical and biomedical sciences by achieving breakthroughs in therapeutics and diagnostics of diseases in living organisms. …”
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Authenticity Detection of Black Rice by Near-Infrared Spectroscopy and Support Vector Data Description by Hui Chen, Chao Tan, Zan Lin

“…On average, the optimized SVDD model achieves acceptable performance, i.e., a specificity of 100% and a sensitivity of 94.2% on the independent test set with tight boundary. …”
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A Novel Two-Stage Spectrum-Based Approach for Dimensionality Reduction: A Case Study on the Recognition of Handwritten Numerals by Mohammad Amin Shayegan, Saeed Aghabozorgi, Ram Gopal Raj

“…Meanwhile, the accuracies of OCR systems are enhanced 2.95% for the MNIST dataset, and 4.71% for the Hoda dataset. The achieved results show an improvement in the precision of the system in comparison to the rival approaches, Principal Component Analysis and Random Projection. …”
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Calibration of miniature air quality detector monitoring data with PCA–RVM–NAR combination model by Bing Liu, Yirui Zhang

“…The results show that, no matter which pollutant, the PCA–RVM–NAR model achieves better calibration results than other models in the four indicators. …”
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Modified Fracture Mechanics Approach for Hydraulic Fracturing Stress Measurements by Guiyun Gao, Chenghu Wang, Hao Zhou, Pu Wang

“…The horizontal maximum principal stresses determined using the modified Rummel method achieve the lowest relative error compared with other considered stress estimation approaches. …”
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A Distortion-Free Data Hiding Scheme for Triangular Meshes Based on Recursive Subdivision by Yuan-Yu Tsai

“…This study adopts a triangle subdivision scheme to achieve reversible data embedding. The secret message is embedded into the newly added vertices. …”
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Numerical approximations of thin structure deformations by Bonito, Andrea, Guignard, Diane, Morvant, Angelique

“…We review different models for thin structures using bending as principal mechanism to undergo large deformations. …”
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Classification of Epileptic Seizures by Simple Machine Learning Techniques: Application to Animals’ Electroencephalography Signals by Illia Pidvalnyi, Anna Kostenko, Oleksandr Sudakov, Dmytro Isaev, Oleksandr Maximyuk, Oleg Krishtal, Olena Iegorova, Ievgen Kabin, Zoya Dyka, Steffen Ortmann, Peter Langendorfer

“…Support vector machines are accessible and convenient methods for classification that have achieved promising classification quality, and are rather lightweight compared to other machine learning methods. …”
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Improving the Accuracy for Analyzing Heart Diseases Prediction Based on the Ensemble Method by Xiao-Yan Gao, Abdelmegeid Amin Ali, Hassan Shaban Hassan, Eman M. Anwar

“…The different methods are used to evaluate models: accuracy, recall, precision, F-measure, and ROC.The results show the bagging ensemble learning method with decision tree has achieved the best performance.…”
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Application of a Fault Detection and Isolation System on a Rotary Machine by Silvia M. Zanoli, Giacomo Astolfi

“…Tests results show that detection and isolation of single as well as multiple faults are successfully achieved.…”
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Analysis of Regional Economic Development Differences Based on Intelligent Hybrid Algorithm by Yanyan Li

“…Intelligent algorithms or their improved and hybrid algorithms can recently achieve more suitable solutions to practical problems of nonlinear, discrete, nondifferentiable, and multiple constraints. …”
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Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics by Vladimir S. Kublanov, Anton Yu. Dolganov, David Belo, Hugo Gamboa

“…Investigation results show that discriminant analysis achieves the highest classification accuracy. The suggested approach of noncorrelated feature set search achieved higher results than data set based on the principal components.…”
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Examining the experiences of school governing body in handling school funds by Bhekithemba Phumlani Ngema, Simanga Phillip Lukhele, Rudzani Israel Lumadi

“…Thus, the study’s primary aim was achieved through the identification of hindrances that prevented the finance committee from effectively managing school funds. …”
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