Finite element analysis and artificial neural network for stress distribution of an aircraft model in a wind tunnel by Ahmed Al-Mulla Khalaf, Sinan Al-Haddad, Bilal Al-Oubaidi, Naseem Ibrahim, Fawaz Abdulwahed, Athraa Hilal

“…The proposed approach combines the best available FEA and ANN techniques regarding prediction accuracy and computational efficiency. Such findings are those that evidence that predictions of real stress levels using ANN are quite near, with RMSE 12%, and, hence, quite accurate. …”
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Flapless and Conjunctiva-Sparing Technique for Transscleral Fixation of Intraocular Lens to Correct Refractive Errors in Eyes without Adequate Capsular Support by Wei Lou, Ziang Chen, Yang Huang, Haiying Jin

“…The three formulas had the same percentage of prediction errors (PEs) within ±0.5 D (43.48%), while the Hoffer Q had the highest percentage of PEs within ±1.0 D (82.61%). …”
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An Improved Model to Calculate Pullback Force of Trenchless Horizontal Directional Drilling Pipeline by Xiao-qiang Liang, Da Hu, Yong-suo Li, Xian Yang, Lei Jiang, Yun-yi Zhang

“…In the pullback operation of horizontal directional drilling pipeline crossing, the existing calculation and prediction models of pullback force are relatively simple. …”
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Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter by Jack Tacchi, Chiara Boldrini, Andrea Passarella, Marco Conti

“…However, the sign of an online social relationship is usually an implicit piece of information, which needs to be estimated by interaction data from Online Social Networks (OSNs), making sign prediction in OSNs a research challenge in and of itself. …”
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Polyhydroxyalkanoates Biopolymer Production by Moderately Halophilic Paracoccus onubensis Strain E3: Extraction, Characterization and Synergistic Activity with Sorafenib Drug again... by Hend A. Hamedo, Ahmed E.M. Shokr, Omnia T. Abd-Elsalam, Naglaa Elshafey

“…This is in addition to the prediction of a synergistic effect of PHAs ingredients and sorafenib drug against HCC, showing a promising binding affinity ranging from 20.2 to 23.2 kcal/ mol. …”
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Color Doppler Score: A New Approach for Monitoring a Large Placental Chorioangioma by Maria Angelica Zoppi, Alessandra Piras, Ambra Iuculano, Maurizio Arras, Federica Mulas, Maria Carmela Fadda, Sergio Cossu, Giovanni Monni

“…The color Doppler score employed for assessment of vascularization in successive examinations proved to be an important tool for the prediction of the chorioangioma involution, and this new approach of monitoring allowed effective surveillance and successful tailored management.…”
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Bioimpedance Resistance Indices and Cell Membrane Capacitance Used to Assess Disease Status and Cell Membrane Integrity in Children with Nephrotic Syndrome by Steven Brantlov, Lars Jødal, René Frydensbjerg Andersen, Aksel Lange, Søren Rittig, Leigh C. Ward

“…The aims of the study were to explore how BIS measurements could reflect disease status in NS, while avoiding prediction equations which are often only validated in adult populations. …”
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Continuous cooling transformation diagrams of HSLA steel for seamless tubes production by Schindler I., Kawulok R., Seillier Y., Kawulok P., Opěla P., Rusz S., Vodárek V., Turoň R.

“…The developed DCCT diagrams can be used for the prediction of austenite decomposition products during the cooling of the seamless tubes from the finish rolling temperature. …”
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CryoProtect: A Web Server for Classifying Antifreeze Proteins from Nonantifreeze Proteins by Reny Pratiwi, Aijaz Ahmad Malik, Nalini Schaduangrat, Virapong Prachayasittikul, Jarl E. S. Wikberg, Chanin Nantasenamat, Watshara Shoombuatong

“…As there are no consensus sequences available for determining the ice-binding domain of AFPs, thus the prediction and characterization of AFPs from their sequence is a challenging task. …”
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Research on Feature Extracted Method for Flutter Test Based on EMD and CNN by Hua Zheng, Zhenglong Wu, Shiqiang Duan, Jiangtao Zhou

“…The method allows for real-time, online prediction with low computational complexity.…”
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Experimental and Theoretical Studies of Wet Snow Accumulation on Inclined Cylindrical Surfaces by Behrouz Mohammadian, Mehdi Sarayloo, Ahmed Abdelaal, Asif Raiyan, Douglas K. Nims, Hossein Sojoudi

“…A 2-D numerical model has been developed utilizing weather data to predict the thickness and the shape of the accumulated wet snow on inclined cylindrical surfaces. …”
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Enhancing Localization Accuracy and Reducing Processing Time in Indoor Positioning Systems: A Comparative Analysis of AI Models by Salwa Sahnoun, Rihab Souissi, Sirine Chiboub, Aziza Chabchoub, Mohamed Khalil Baazaoui, Ahmed Fakhfakh, Faouzi Derbel

“…We evaluate these models in terms of localization accuracy and prediction time. The RNN model shows the best performance, achieving a localization error of 0.247 m with a delay of 0.077 s per position location for an area of 12 m × 9.5 m using four anchors. …”
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Development and accelerated shelf-life assessment of coconut squash: A comprehensive evaluation of physicochemical, antioxidant, and sensory attributes by Sara Shahbaz, Iahtisham-Ul-Haq, Nirmeen Nadeem, Mahnoor Siddiqui, Robert Mugabi, Aanchal Sharma, Tawfiq Alsulami, Gulzar Ahmad Nayik

“…Sensory evaluation identified T5 as the optimal formulation due to its superior quality attributes and a predicted shelf life of 121 days. These findings highlight T5's potential for commercial applications as a high-quality, functional beverage.…”
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Noise-resilient designs and analysis for optical neural networks by Gianluca Kosmella, Ripalta Stabile, Jaron Sanders

“…In this scenario, the gap in accuracy of prediction between the noiseless NN and the ONNs reduces even more: 93.3% for the tree-like design and 80% for the accordion-like design.…”
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Using Camshift and Kalman Algorithm to Trajectory Characteristic Matching of Basketball Players by Shuang Liang, Yang Li

“…Aiming at the occlusion of basketball, the least square method was used to fit the basketball trajectory, and the basketball position was predicted at the occlusion moment, which realized the occlusion trajectory matching. …”
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Genetic Geostatistical Framework for Spatial Analysis of Fine-Scale Genetic Heterogeneity in Modern Populations: Results from the KORA Study by A. N. Diaz-Lacava, M. Walier, D. Holler, M. Steffens, C. Gieger, C. Furlanello, C. Lamina, H. E. Wichmann, T. Becker

“…Spatial analysis included surface interpolation and geostatistics of observed and predicted patterns. Prediction accuracy was quantified. …”
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Municipal solid wastes quantification and model forecasting by Y. Teshome, N. Habtu, M. Molla, M. Ulsido

“…This study aims to assess the amount, composition, and prediction models of solid waste generation in the study area.METHODS: Solid waste data were collected from both residential and non-residential areas using stratified and systematic sampling approaches. …”
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New Dimensional Staging of Bisphosphonate-Related Osteonecrosis of the Jaw Allowing a Guided Surgical Treatment Protocol: Long-Term Follow-Up of 266 Lesions in Neoplastic and Oste... by Simonetta Franco, Simona Miccoli, Luisa Limongelli, Angela Tempesta, Giorgio Favia, Eugenio Maiorano, Gianfranco Favia

“…The new dimensional staging suggests the choice of the surgical approach, and allows the prediction of postoperative complications and soft and hard tissues healing time, guiding the surgical treatment protocol. …”
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XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

“…In the end, both temporal and spatial features are integrated into the classification module, enabling precise prediction across three categories of EEG signals. The proposed XCF-LSTMSATNet was extensively tested on both a custom dataset and the public datasets SRDA and SRDB. …”
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The Airflow Reversal Law in Ventilation System after Coal and Gas Outburst in Tunneling Roadway by Junhong Si, Yiqiao Wang, Genyin Cheng, Lin Li, Yitian Shao, Tan Li, Wei Hu

“…This paper also finds out a cubic polynomial relationship existing between the reversal degree and the outburst pressure. It provides the prediction of coal and gas outburst and serves as a guidance in case mine ventilation disturbances occur.…”
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