Comparative Analysis on Applicability of Satellite and Meteorological Data for Prediction of Malaria in Endemic Area in Bangladesh by Atiqur Rahman, Leonid Roytman, Mitch Goldberg, Felix Kogan

“…Relationships between yearly malaria incidence and (1) climate data from weather station and (2) satellite-based vegetation health (VH) indices were investigated for prediction of malaria vector activities in Bangladesh. …”
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MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

“…Conclusion MultiChem highlights the importance of integrating both local and global structural information in predicting molecular properties, while also assessing the stability of the models across multiple datasets using various random seed values. …”
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ASSESSMENT OF ROMANIAN ALPINE HABITATS SPATIAL SHIFTS BASED ON CLIMATE CHANGE PREDICTION SCENARIOS by ADRIAN CONSTANTINESCU, JENICĂ HANGANU, ANTHONY LEHMANN, NICOLAS RAY

“…Under 1950–2000 climate scenario, both models exhibited high AUC values (> 0.9). The predicted geographical distribution of Mesophilous oligotrophic mountain pasture and Subalpine oligotrophic pastures coded as VNG and PON habitat modeled by Maxent and BIOCLIM shows differences between the modeling approaches, with Maxent predicting smaller areas (12% less) of suitable habitat than BIOCLIM. …”
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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

Subjects: “…remaining useful life prediction…”
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A Prediction Method of Electromagnetic Environment Effects for UAV LiDAR Detection System by Min Huang, Dandan Liu, Liyun Ma, Jingyang Wang, Yuming Wang, Yazhou Chen

“…Therefore, it is very necessary to predict the effects of the electromagnetic environment. …”
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A Predictive Model for Super-Response to Cardiac Resynchronization Therapy: The QQ-LAE Score by Xi Liu, Yiran Hu, Wei Hua, Shengwen Yang, Min Gu, Hong-Xia Niu, Li-Gang Ding, Jing Wang, Shu Zhang

“…We aimed to establish a scoring model that can be used for predicting super-response to CRT. Methods. We retrospectively reviewed 387 CRT patients. …”
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Diversity of TCR repertoire predicts recurrence after CRT followed by durvalumab in patients with NSCLC by Masayuki Shirasawa, Tatsuya Yoshida, Takaji Matsutani, Yuki Takeyasu, Naoko Goto, Shigehiro Yagishita, Shigehisa Kitano, Hiroaki Kuroda, Toyoaki Hida, Takayasu Kurata, Yuichiro Ohe

“…The diversity of TCR repertoire might more accurately predict the efficacy of CRT followed by durvalumab therapy.…”
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Data Homogeneity Effect in Deep Learning-Based Prediction of Type 1 Diabetic Retinopathy by Jui-En Lo, Eugene Yu-Chuan Kang, Yun-Nung Chen, Yi-Ting Hsieh, Nan-Kai Wang, Ta-Ching Chen, Kuan-Jen Chen, Wei-Chi Wu, Yih-Shiou Hwang, Fu-Sung Lo, Chi-Chun Lai

“…Heatmaps showed that the model focused on retinal hemorrhage, vessels, and exudation to predict DR. In wrong prediction images, artifacts and low-image quality affected model performance. …”
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The role of Shock Index and its derivatives in predicting mortality in patients with upper gastrointestinal bleeding by Mehmet Seyfettin Saribas, Ali Aygun, Furkan Kara, Adem Koksal, Ibrahim Caltekin

“…When examining the area under the curve (AUC), Age-SI (ASI) showed the best performance in predicting in-hospital mortality (AUC 0.837), followed by Age-Modified Shock Index (AMSI, AUC 0.829), MSI (AUC 0.810), and SI (AUC 0.806). …”
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An Efficient Third-Order Full-Discretization Method for Prediction of Regenerative Chatter Stability in Milling by Chao Huang, Wen-An Yang, Xulin Cai, Weichao Liu, YouPeng You

“…Various full-discretization methods have been designed for predicting regenerative chatter stability. The main problem of such methods is that they can predict the regenerative chatter stability but do not efficiently determine stability lobe diagrams (SLDs). …”
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Bayesian Estimation and Prediction for Flexible Weibull Model under Type-II Censoring Scheme by Sanjay Kumar Singh, Umesh Singh, Vikas Kumar Sharma

“…Further, we have also derived the predictive posteriors and the corresponding predictive survival functions for the future observations based on Type-II censored data from the flexible Weibull distribution. …”
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Prediction of Sonic Log Values Using a Gradient Boosting Algorithm in the 'AB' Field by Rasif Nahari, Utama Widya, Ardhya Garini Sherly, Fitri Indriani Rista, Pratama Novian Putra Dhea

“…In this study, Python was used to develop predictions for missing data, demonstrating the capability of machine learning to enhance data reliability and improve petroleum exploration processes. …”
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MLP Enhanced CO2 Emission Prediction Model with LWSSA Nature Inspired Optimization by Agoub Abdulhafith Younes Mussa, Wagdi M. S. Khalifa

“…The LWSSA-MLP framework achieved a prediction accuracy of 97% and outperformed traditional optimizer-based MLP models across several evaluation metrics. …”
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Predicted Aerobic Capacity of Asthmatic Children: A Research Study from Clinical Origin by Lene Lochte

“…Physical activity, medication, and “ever asthma/current asthma” were reported by questionnaire. Results. Predicted aerobic capacity of asthmatics was lower than that of controls (P=0.0015) across observation times and for both groups an important increase in predicted aerobic capacity according to time was observed (P<0.001). …”
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Risk Prediction Algorithm of Social Security Fund Operation Based on RBF Neural Network by Linxuan Yang

“…On this basis, the prediction model based on the improved ANT colony-RBF neural network is established, and the MATLAB software calculation tool is used for accurate calculation, which makes the prediction results of coal mine safety risk more accurate and provides more reliable decision basis for decision makers. …”
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Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing Techniques by Mosbeh R. Kaloop, Jong Wan Hu, Emad Elbeltagi

“…This study investigates predicting the pullout capacity of small ground anchors using nonlinear computing techniques. …”
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Evaluating the relative predictive validity of measures of self-referential processing for depressive symptom severity by Ethel Siew Ee Tan, Hong Ming Tan, Kah Vui Fong, Sheryl Yu Xuan Tey, Nikita Rane, Chong Wei Ho, Zhao Yuan Tan, Rachel Jing Min Ong, Chloe Teo, Jerall Yu, Maxine Lee, An Rae Teo, Sin Kee Ong, Xin Ying Lim, Jin Lin Kee, Jussi Keppo, Geoffrey Chern-Yee Tan

“…While some measures have proven robust in predicting depressive symptoms, their effectiveness can vary depending on the methodology used. …”
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A Hybrid Prognostic Approach for Remaining Useful Life Prediction of Lithium-Ion Batteries by Wen-An Yang, Maohua Xiao, Wei Zhou, Yu Guo, Wenhe Liao

“…Remaining useful life (RUL) prediction of lithium-ion batteries before the future failure event is extremely crucial for proactive maintenance/safety actions. …”
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Predictive Modeling of Volume and Biomass in Pinus pseudostrobus Using Machine Learning and Allometric Approaches by Pablo Antúnez, Christian Wehenkel, Erickson Basave-Villalobos, Celi Gloria Calixto-Valencia, César Valenzuela-Encinas, Faustino Ruiz-Aquino, David Sarmiento-Bustos

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The Application of Seepage Flow Prediction in Nuer Dam Based on the Grey Self-Memory Model by Ai-Feng Wang, Xiu-Tao Yang, Da-Hai Guo

“…The accurate time prediction of seepage pressure in the dam has essential significance for the safety of the dam body and the life and property of people. …”
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