Evaluation of inhibitory efficacy of plantaricin JK against NSP1 from SARS-CoV-2 by in silico methods by Manisha Mandal, Shyamapada Mandal

“…This information encouraged us to evaluate the inhibitory role of plantaricin JK (Pln-JK) against SARS-CoV-2 NSP1 using in silico methods. …”
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Evaluation of Landslide Risk Using the WoE and IV Methods: A Case Study in the Zipaquirá–Pacho Road Corridor by Sandra Velazco, Álvaro Rodríguez, Martín Riascos, Fernando Nieto, Dayana Granados

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Comparative evaluation of surgical correction of corneal astigmatism by toric IOL implantation using various keratometric data and calculation methods by E.V. Boiko, S.V. Shukhaev, S.S. Kudlakhmedov, I.B. Litvin

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Evaluating the change and trend of construction land in Changsha City based GeoSOS-FLUS model and machine learning methods by Zuopeng Zhang, Zhe Li, Zhirong Li

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Research on Multi-Channel Spectral Prediction Model for Printed Matter Based on HMSSA-BP Neural Network by Dandan Fan, Hongwu Zhan, Fang Xu, Yifei Zou, Yankang Zhang

“…To overcome it, this paper proposes a multi-channel spectral prediction model for printed matter and the adaptive evaluation method based on multi-index fusion. …”
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An extension of the Spiegelhalter-Knill-Jones method for continuous covariates in clinical decision making by Bart K. M. Jacobs, Tafadzwa Maseko, Lutgarde Lynen, Aquiles Rodrigo Henriquez-Trujillo, Jozefien Buyze

“…We used area under the curve (AUC) and risk classification improvement (RCI) as metrics to evaluate the performance of resulting predictions scores and risk classifications. …”
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Novel Method of Immunoepitope Recognition, Long-Term Immunity Markers, Immunosuppressive Domens and Vaccines against COVID-19 by E. P. Kharchenko

“…Relevance of searching for computer methods with high efficiency of immunoepitopes recognition and predicting the longevity of the immunity they induce is determined primarily by the need to quickly create vaccines against newly emerging infections, especially during pandemic periods. …”
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Chemometric and meta-heuristic algorithms to find optimal wavelengths and predict ‘Red Delicious’ apples traits using Vis-NIR by Mahsa S. Razavi, Vali Rasouli Sharabiani, Mohammad Tahmasebi, Silvia Grassi, Mariusz Szymanek

“…The potential of Vis-NIR spectroscopy (540–960 nm) in quality evaluation of Red Delicious apples was investigated. …”
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EVALUATION OF THE CHARACTERISTICS AND CLINICAL RESULTS OF THE PATIENTS HOSPITALIZED WITH COVID-19 PNEUMONIA IN THE PROVINCE OF MUS: A STATE HOSPITAL EXPERIENCE by Aysun Benli, Emir Resuloğlu, İlke Karadağlı Üçüncü, Ayşe Nur Ceylan, Mustafa Taner Yeler, Gürkan Danışan, Cihan Büyüksütçü, Mehmet Balcı, Şinasi Korkmaz, Bilal Akdemir, Adil Akın Yıldıran, Cemal Yaşar

“…Multivariate logistic regression analysis was performed to evaluate the factors predicting the severity of COVID-19. …”
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Sound Quality Prediction Method of Dual-Phase Hy-Vo Chain Transmission System Based on MFCC-CNN and Fuzzy Generation by Jiabao LI, Lichi AN, Yabing CHENG, Haoxiang WANG

“…Noise acquisition tests are conducted under various working conditions, followed by subjective evaluations using the equal interval direct one-dimensional method. …”
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A Rapid Evaluation Method of Permafrost Bearing Capacity in the Tibetan Plateau Region Based on the Correlation Between CPT-CBR by Haowu Wang, Bo Tian, Lei Quan, Panpan Zhang, Lihui Li, Yitong Hou, Sen Hu

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Hyperspectral Method Integrated with Machine Learning to Predict the Acidity and Soluble Solid Content Values of Kiwi Fruit During the Storage Period by Mansourialam Amir, Rasekh Mansour, Ardabili Sina, Dadkhah Majid, Mosavi Amir

“…The evaluation of the predictive machine learning model revealed an accuracy of 95% in predicting acidity and soluble solid content (SSC) changes in kiwi fruit during storage. …”
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SmartPlus: a computer-based image analysis method to predict continuous-valued vascular abnormality index in Retinopathy of Prematurity by Sayed Mehran Sharafi, Nazanin Ebrahimiadib, Ramak Roohipourmoallai, Afsar Dastjani Farahani, Marjan Imani Fooladi, Golnaz Gharehbaghi, Elias Khalili Pour

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Classifying AI-Powered prediction models for disability progression using the Tamir-Based complex fuzzy Aczel–Alsina WASPAS method by Jabbar Ahmmad, Meraj Ali Khan, Ibrahim Aldayel, Tahir Mahmood

“…This hybrid model incorporates complex fuzzy logic to handle multidimensional uncertainty and utilizes the Aczel-Alsina function for flexible aggregation. We apply this method to evaluate and classify AI-powered predictive models used for monitoring disability progression. …”
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Corrosion resistance prediction of high-entropy alloys: framework and knowledge graph-driven method integrating composition, processing, and crystal structure by Guangxuan Song, Dongmei Fu, Yongjie Lin, Lingwei Ma, Dawei Zhang

“…Abstract The prediction of corrosion resistance in High-entropy alloys (HEAs) faces challenges due to previous machine learning methods not fully capturing the interdependencies between composition, processing, and crystal structure. …”
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Stock market trend prediction using deep neural network via chart analysis: a practical method or a myth? by Erfan Radfar

“…Abstract In this study, we investigate the feasibility of using deep learning for stock market prediction and technical analysis. We explore the dynamics of the stock market and prominent classical methods and deep learning-based approaches that are used to forecast prices and market trends. …”
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Rapid defect prediction and optimisation method for Ti-modified AlCuMg alloys processed by laser powder-bed fusion by Ziqian Wang, Yuhan Qian, Tengteng Sun, Yakai Xiao, Zijue Tang, Yi Wu, Hua Sun, Xingtian Liu, Haowei Wang, Hongze Wang

“…This hot-tearing factor could also serve as the supplementary method for evaluating the crack susceptibility of AlCuMg alloys. …”
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Improving Orbit Prediction of the Two-Line Element with Orbit Determination Using a Hybrid Algorithm of the Simplex Method and Genetic Algorithm by Jinghong Liu, Chenyun Wu, Wanting Long, Bo Yuan, Zhengyuan Zhang, Jizhang Sang

“…Compared with the results of the least-squares method and simplex method based on Monte Carlo simulation, the new algorithm demonstrated its superiorities in orbital prediction. …”
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A semi-analytical model for predicting the mechanical responses around a non-circular wellbore by using complex variable method by Wenbao Zhai, Haoze Zhang, Zixuan Yang, Zhaowei Chen, Bisheng Wu, Jiaxing Zhou, Shaoyi Cheng, Peng Tan

“…The proposed method will be useful to study the effect of the wellbore shape on the stress distribution around the wellbore and predict the evolution of wellbore breakout.…”
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A Hybrid Method Combining Variational Mode Decomposition and Deep Neural Networks for Predicting PM2.5 Concentration in China by Senlin Li, Bo Tang, Xiaowu Deng

“…To address this issue, this study introduces a hybrid parallel method (VDPS) that combines variational mode decomposition (VMD) with single deep neural networks for PM2.5 concentration prediction. …”
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