Reddit comment analysis: sentiment prediction and topic modeling using VADER and BERTopic by Denilson de Oliveira Silva, Richard Matheus Avelino da Silva, Patrícia Virgínia de Santana Lima, Jéssica Cristina Pereira Batista, Sílvio Fernando Alves Xavier Júnior

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Prediction of Moderate and Heavy Rainfall in New Zealand Using Data Assimilation and Ensemble by Yang Yang, Phillip Andrews, Trevor Carey-Smith, Michael Uddstrom, Mike Revell

“…This numerical weather prediction study investigates the effects of data assimilation and ensemble prediction on the forecast accuracy of moderate and heavy rainfall over New Zealand. …”
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Prediction of PM2.5 via precursor method using meteorological parameters by Naeem Sadiq, Zaheer Uddin

“…The Root Mean Square Error (RMSE) value for Karachi was less than 18 and for Lahore, it was 39. The prediction of PM2.5 via ANN was good for Lahore and Karachi. …”
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Author Correction: IoT-based automated system for water-related disease prediction by Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

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Investigation of multi-input convolutional neural networks for the prediction of particleboard mechanical properties by Shuoye Chen, Shunsuke Sakai, Miyuki Matsuo-Ueda, Kenji Umemura

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The Predictions of Noncollinear Equilibria Positions in ER3BP with Yukawa-Like Corrections by E. Baby Anitha, Tenaw Tilahun Asmamaw, M. Javed Idrisi

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Machine learning-driven solar irradiance prediction: advancing renewable energy in Rajasthan by Aayushi Tandon, Amit Awasthi, Kanhu Charan Pattnayak, Aditya Tandon, Tanupriya Choudhury, Ketan Kotecha

“…This model outperforms the Linear Regression model by a notable 19.47%, highlighting its superior predictive abilities. Additionally, average error across all models stays below 20%, emphasizing the reliability and accuracy of the predictive analyses performed. …”
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Scaling up uncertain predictions to higher levels of organisation tends to underestimate change by James A. Orr, Jeremy J. Piggott, Andrew L. Jackson, Jean‐François Arnoldi

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Systematic review railway infrastructure monitoring: From classic techniques to predictive maintenance by Giovanni Bianchi, Chiara Fanelli, Francesco Freddi, Felice Giuliani, Aldo La Placa

“…All these topics are summarised to provide an effective theoretical and practical knowledge of SHM for railway infrastructure, to better understand the current transformation of the sector and to predict future developments.…”
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Retracted: A Dynamic Prediction Model of Financial Distress in the Financial Sharing Environment by Discrete Dynamics in Nature and Society

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Enhancing cardiac assessments: accurate and efficient prediction of quantitative fractional flow reserve by Arshia Eskandari, Sara Malek, Alireza Jabbari, Kian Javari, Nima Rahmati, Behrad Nikbakhtian, Bahram Mohebbi, Seyed Ehsan Parhizgar, Mona Alimohammadi

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Predicting Pedestrian Counts for Crossing Scenario Based on Fused Infrared-Visual Videos by Shize Huang, Wei Chen, Rongjie Yu, Xiaolu Yang, Decun Dong

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SDP-Based Quality Adaptation and Performance Prediction in Adaptive Streaming of VBR Videos by Thoa Nguyen, Thang Vu, Nam Pham Ngoc, Truong Cong Thang

“…The experimental results show that the prediction models can provide accurate performance prediction which is useful in planning adaptation policy and that our proposed adaptation method outperforms the existing ones in terms of average quality and average quality switch.…”
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A Prospective Study to Evaluate the Predictivity of Risk Malignancy Index in Adnexal Masses by Narin Yar Elmastas, Mehmet Obut, Senem Yaman Tunc

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Investigation of ANN Architecture for Predicting Load-Carrying Capacity of Castellated Steel Beams by Thuy-Anh Nguyen, Hai-Bang Ly, Van Quan Tran

“…The ANN model seems to be the best algorithm of machine learning for predicting the CSB load-carrying capacity.…”
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Prediction models used in the progression of chronic kidney disease: A scoping review. by David K E Lim, James H Boyd, Elizabeth Thomas, Aron Chakera, Sawitchaya Tippaya, Ashley Irish, Justin Manuel, Kim Betts, Suzanne Robinson

“…<h4>Objective</h4>To provide a review of prediction models that have been used to measure clinical or pathological progression of chronic kidney disease (CKD).…”
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Improvement of Citrus Yield Prediction Using UAV Multispectral Images and the CPSO Algorithm by Wenhao Xu, Xiaogang Liu, Jianhua Dong, Jiaqiao Tan, Xulei Wang, Xinle Wang, Lifeng Wu

“…However, for fruit quality prediction, the RF model performed best when only the VIs were used, with an R² = 0.787 and an RMSE = 20.0 kg. …”
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Noninvasive urinary oxygen monitoring in predicting acute kidney injury: Silent messengers by Bharat Yalla, S Gurudarshan, Puneet Khanna

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Random forest regressor for predicting sensory texture of emotional designed packaging films by Yong Ju Lee, Min Jung Joo, Ha Kyoung Yu, Tai-Ju Lee, Hyoung Jin Kim

“…A random forest (RF) regression model was developed to predict sensory texture preferences of packaging films, enhancing their emotional appeal to consumers. …”
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Homogenized Point Mutual Information and Deep Quantum Reinforced Wind Power Prediction by W. G. Jency, J. E. Judith

“…Accurate wind power prediction is very predominant for genuine and effective power systems with high wind power perception. …”
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