Leveraging an Enhanced CodeBERT-Based Model for Multiclass Software Defect Prediction via Defect Classification by Rida Ghafoor Hussain, Kin-Choong Yow, Marco Gori

Subjects: “…Software defect prediction…”
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Prediction of the axial compression capacity of ECC-CES columns using adaptive sampling and machine learning techniques by Khaled Megahed

“…Subsequently, seven ML models are utilized to predict the axial compression capacity based on the FE database. …”
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Correction: The role of the SOX2 gene in cervical cancer: focus on ferroptosis and construction of a predictive model by Shenping Liu, Zhi Wei, Huiqing Ding

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Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction by Joon Yul Choi, Doo Eun Kim, Sung Jin Kim, Hannuy Choi, Tae Keun Yoo

“…Abstract This study demonstrates the potential of multimodal large language models in calculating safety indicators and predicting contraindications for laser vision correction. …”
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Predicted thermodynamic structural and elastic properties of SrCuP and SrCuSb for thermoelectric applications by N. Bioud, N. Benchiheub, A. Benamrani, M. A. Ghebouli, M. Fatmi, Faisal Katib Alanazi, R. Yekhlef

“…Abstract The Pseudopotential method coupled with plane waves implemented in the quantum espresso code was used in the prediction of the structural parameters and elastic constants of SrCuX (X = P, Sb) materials. …”
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Disulfidptosis-related immune patterns predict prognosis and characterize the tumor microenvironment in oral squamous cell carcinoma by Xuechen Wu, Boxin Liu, Shi-Zhou Deng, Tengteng Xiong, Lin Dai, Bo Cheng

“…With this model, we can more accurately predict the prognosis of patients with OSCC, as well as assess the potential effects of their TME and immunotherapy.…”
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Novel (Q)SAR models for prediction of reversible and time-dependent inhibition of cytochrome P450 enzymes by Sadegh Faramarzi, Arianna Bassan, Kevin P. Cross, Xinning Yang, Glenn J. Myatt, Donna A. Volpe, Lidiya Stavitskaya

“…Furthermore, five quantitative structure-activity relationship (QSAR) models were developed to predict not only time-dependent inhibition of CYP3A4, an enzyme that metabolizes approximately 50% of all marketed drugs, but also reversible inhibition of 3A4, 2C9, 2C19 and 2D6. …”
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MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops by Dian Chao, Hao Wang, Fengqiang Wan, Shen Yan, Wei Fang, Yang Yang

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SVFRH: A Growth Stage-Based Compartmental Model for Predicting the Disease Incident in Tomato (Solanum lycopersicum) by Athira P. Shaji, S. Hemalatha

“…The results demonstrate the model’s capacity to accurately predict disease incidents at each growth stage. An overall probability of disease incidents is calculated by combining the probabilities from each stage-specific model. …”
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A novel framework to predict ADHD symptoms using irritability in adolescents and young adults with and without ADHD by Saeedeh Komijani, Dipak Ghosal, Manpreet K. Singh, Julie B. Schweitzer, Julie B. Schweitzer, Prerona Mukherjee, Prerona Mukherjee

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Big data predictions of Seasonal Fluctuations in Marine Traffic (using AIS data) by monitoring idle ships by Liliya Mileva

“… The current article analyzes big data and makes predictions for the sea freight transport trends. It aims to support the management of sea transport, improve sea logistics services to predict trends in sea freight transport, support the management of sea transport, improve sea logistics services, and optimize the organization of transport services. …”
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Maximum Dry Unit Weight and Optimum Moisture Content Prediction of Lateritic Soils Using Regression Analysis by Yufeng Qian

“…Due to the time limitations and concerns of finishing resources, it is obligate to develop some relationships for predicting compaction parameters such as maximum dry unit weight (γdmax) and optimum moisture content (ωopt) from easily estimated index properties. …”
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Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning by Jian Wang, Chengsong Duan, Qiao Yu, Cheng Yang

Subjects: “…Sky wave propagation prediction…”
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Enhancing Predictive Models in E-Commerce: A Comparative Study Using XGBoost Across Diverse Scenarios by Zhang Jianhao

“…Our strategy involves continuously feeding historical data into selected models to predict future sales volumes. By identifying patterns in the data, we aim to make the predictions more tangible and assess the validity of our approach through a statistical linear regression model. …”
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The interaction between genetic predicted gut microbiome abundance and particulate matter on the risk of incident asthma in adults by Hehua Zhang, Yong Feng, Honghao Yang, Yuqian Li, Zheng Ma, Liuxin Li, Liangkai Chen, Yuhong Zhao, Lishen Shan, Yang Xia

“…Polygenic score of GMA was calculated using 19 distinct single nucleotide polymorphisms. PM2.5 exposure was predicted using a validated Land Use Regression model. …”
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Harnessing artificial intelligence for predicting breast cancer recurrence: a systematic review of clinical and imaging data by Jaqueline Alvarenga Silveira, Alexandre Ray da Silva, Mariana Zuliani Theodoro de Lima

Subjects: “…Breast cancer recurrence prediction…”
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Large-scale prospective serum metabolomic profiling reveals candidate predictive biomarkers for suspected preeclampsia patients by Yan Cao, Lanlan Meng, Yifei Wang, Shenglong Zhao, Yuanyuan Zheng, Rui Ran, Jie Du, Hongqiang Wu, Jiaqi Han, Zhengwen Xu, Yifan Lu, Lin Liu, Lu Chen, Jing Wang, Youran Li, Yanhong Zhai, Zhi Sun, Zheng Cao

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How to Handle Data Imbalance and Feature Selection Problems in CNN-Based Stock Price Forecasting by Zinnet Duygu Aksehir, Erdal Kilic

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ANN-based software cost estimation with input from COCOMO: CANN model by Chaudhry Hamza Rashid, Imran Shafi, Bilal Hassan Ahmed Khattak, Mejdl Safran, Sultan Alfarhood, Imran Ashraf

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Customization of health insurance premiums using machine learning and explainable AI by Manohar Kapse, Vinod Sharma, Rutuj Vidhale, Varun Vellanki

Subjects: “…Premium prediction…”
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