A comprehensive evaluation of ai techniques for air quality index prediction: RNNs and transformers by Pablo Andrés Buestán Andrade, Pedro Esteban Carrión Zamora, Anthony Eduardo Chamba Lara, Juan Pablo Pazmiño Piedra

“… This study evaluates the effectiveness of Recurrent Neural Networks (RNNs) and Transformer-based models in predicting the Air Quality Index (AQI). Accurate AQI prediction is critical for mitigating the significant health impacts of air pollution and plays a vital role in public health protection and environmental management. …”
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The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke by In-Hui Pak, Se-Ryong Han, Chol-Ho Sin, Hyo-Song Kim, Un-Ryong Rim

“…So, the score ≧ 3 was the optimal score for the prediction of UTI after stroke.…”
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Expecting the Unexpected: Predicting Panic Attacks From Mood, Twitter, and Apple Watch Data by Ellen W. McGinnis, Bryn Loftness, Shania Lunna, Isabel Berman, Skylar Bagdon, Genevieve Lewis, Michael Arnold, Christopher M. Danforth, Peter S. Dodds, Matthew Price, William E. Copeland, Ryan S. McGinnis

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Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network by Sunghoon Moon, Younglok Kim

“…Moreover, it demonstrated reliable predictions even for unseen offsets, such as −1.7°, showcasing its generalization capability. …”
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Modeling and Prediction Method for CNC Machine Tools’ Errors Based on Spatial Feature Points by Guohua Chen, Lin Zhang, Hua Xiang, Yong Chen

“…In order to improve the precision of CNC machine tools effectively, a method for modeling and predicting their spatial errors based on spatial feature points was proposed. …”
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Machine learning regression models and associated variables for predicting preoperative anxiety in paediatric patients by Abdul Rahman, Javed Khan Sheikh, Mohammad Sarwar Raeen

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Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review by Arantxa Ortega-Leon, Daniel Urda, Ignacio J. Turias, Simón P. Lubián-López, Simón P. Lubián-López, Isabel Benavente-Fernández, Isabel Benavente-Fernández, Isabel Benavente-Fernández

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Two-Stage Degradation Assessment and Prediction Method for Aircraft Engine Based on Data Fusion by Hongsheng Yan, Hongfu Zuo, Jianzhong Sun, Di Zhou, Han Wang

“…In order to realize the performance degradation assessment and remaining useful life (RUL) prediction of aeroengine, this paper proposes a two-stage assessment and prediction method based on data fusion. …”
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Predicting the correlation between neurological abnormalities and thyroid dysfunction using artificial neural networks by Dina Falah Noori Al-Sabak, Leila Sadeghi, Gholamreza Dehghan

“…In this work, a deep learning model was developed to predict future neurological parameters for patients with hypothyroidism, enabling proactive health management. …”
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Vessel Navigation Behavior Analysis and Multiple-Trajectory Prediction Model Based on AIS Data by He Ma, Yi Zuo, Tieshan Li

“…In recent years, the prediction of vessel trajectories has become one of the hottest research issues. …”
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Transforming Cardiovascular Risk Prediction: A Review of Machine Learning and Artificial Intelligence Innovations by Dimitrios-Ioannis Kasartzian, Thomas Tsiampalis

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Measured Rare Voltage Sags and Clusters of Sags: Prediction Models Driven by the Intermittence Indices by G. M. Casolino, M. de Santis, L. Di Stasio, C. Noce, P. Varilone, P. Verde

“…In this study, a general method for predicting both types of sags is proposed with a procedure that can be implemented automatically. …”
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Predictive value of dendritic cell-related genes for prognosis and immunotherapy response in lung adenocarcinoma by Zihao Sun, Mengfei Hu, Xiaoning Huang, Minghan Song, Xiujing Chen, Jiaxin Bei, Yiguang Lin, Size Chen

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Monocyte and Macrophage in Follicular Liquid: Predictive Markers of Embryo Quality in Women with Obesity and Infertility by Evgeny D. Merkulov, Anastasia V. Prozorova, Iuliia G. Samoilova, Dmitry A. Svarovsky, Kira A. Sidorenkova, Liudmila V. Spirina, Marina N. Stakheeva, Oxana S. Timofeeva, Ilya A. Petrov

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Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques by Marwa K. Elteir

“…This work addresses the understudied problem of fine-grained geolocation prediction for Arabic tweets, focusing on the Kingdom of Saudi Arabia. …”
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The importance of Naples prognostic score in predicting long-term mortality in heart failure patients by Sidar Şiyar Aydın, Selim Aydemir, Murat Özmen, Emrah Aksakal, İbrahim Saraç, Faruk Aydınyılmaz, Onur Altınkaya, Oğuzhan Birdal, İbrahim Halil Tanboğa

“…Malnutrition and increased inflammation predict poor disease prognosis. The parameters of the Naples prognostic score (NPS) include albumin, total cholesterol, neutrophil-lymphocyte ratio (NLR), and lymphocyte-monocyte ratio (LMR). …”
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Transformer-generated atomic embeddings to enhance prediction accuracy of crystal properties with machine learning by Luozhijie Jin, Zijian Du, Le Shu, Yan Cen, Yuanfeng Xu, Yongfeng Mei, Hao Zhang

“…The machine-learning models for prediction of materials properties require embedding atomic information, while traditional methods have limited effectiveness in enhancing prediction accuracy. …”
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Epidemiological trends and predictions of urinary tract infections in the global burden of disease study 2021 by Yining He, Jing Zhao, Lanhui Wang, Chao Han, Ruxue Yan, Peiqi Zhu, Tianyang Qian, Siyao Yu, Xiaolin Zhu, Weiming He

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Point and Interval Predictions for Tanjiahe Landslide Displacement in the Three Gorges Reservoir Area, China by Yankun Wang, Huiming Tang, Tao Wen, Junwei Ma, Zongxing Zou, Chengren Xiong

“…Accurate landslide displacement prediction has great practical significance for mitigating geohazards. …”
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Predictive value of the perivascular fat attenuation index for MACE in young people suspected of CAD by Yani Yu, Dongkai Shan, Xi Wang, Zinuan Liu, Guanhua Dou, Junjie Yang, Yuqi Liu, Yundai Chen

“…This study aimed to assess the predictive value of the perivascular FAI in young people suspected of having coronary atherosclerotic disease (CAD). …”
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