Interpolation Polynomial Approximation for the Optimal Teaching of Employing Educational Technologies in Traditional Education of Mathematics by Kamal Nozad, Mohsen Rostamy-Malkhalifeh, Mohammad Maghasedi, Hamid Rasouli

Subjects: Get full text

Artificial Intelligence (AI) Competency and Educational Needs: Results of an AI Survey of Members of the European Society of Pediatric Endoscopic Surgeons (ESPES) by Holger Till, Hesham Elsayed, Maria Escolino, Ciro Esposito, Sameh Shehata, Georg Singer

Subjects: Get full text

Application of Artificial Intelligence in Support of NAFLD Diagnosis by Jakub Płudowski, Jan Mulawka

Subjects: Get full text

Robust County-Level Corn Yield Estimation Using Ensemble Machine Learning and Multisource Remote Sensing by Alireza Vafaeinejad, Alireza Sharifi, Shahid Nawaz Khan

“…Accurate and reliable crop yield forecasting is essential for sustainable agricultural planning and global food security. However, data quality issues—such as missing values and temporal misalignments in remote sensing datasets—often challenge the robustness of machine learning models. …”
Get full text

EEG-Based Attention Classification for Enhanced Learning Experience by Madiha Khalid Syed, Hong Wang, Awais Ahmad Siddiqi, Shahnawaz Qureshi, Mohamed Amin Gouda

Get full text

FDRL: a data-driven algorithm for forecasting subsidence velocities in Himalayas using conventional and traditional soil features by Sahil Sankhyan, Ajoy Kumar, Praveen Kumar, Aaditya Sharma, K. V. Uday, Varun Dutt

“…A stacking ensemble regression model called Forecasting Data-Driven Regression Learning (FDRL) was developed on the basis of the last machine learning breakthroughs, including feature selection techniques such as Pearson correlation and mutual information scores. …”
Get full text

Transportation Vehicle Safety Evaluation Model Based on Vehicle Network Data by LI Zhuoxuan;LIN Kaidi;GUO Jianhua;CAO Jinde

“…Combining the data mining and the data analysis algorithms in machine learning with the road transport industry, a quantitative analysis tool for the study of road transport safety management is proposed.…”
Get full text

Identification of Typical Time-Series House Consumption Profiles Based on Unsupervised Learning Techniques by Marcelo Forte, Cindy P. Guzman, Lucas Pereira, Hugo Morais

Get full text

Enhanced predictability and interpretability of COVID-19 severity based on SARS-CoV-2 genomic diversity: a comprehensive study encompassing four years of data by Miao Miao, Yonghong Ma, Jiao Tan, Renjuan Chen, Ke Men

Get full text

Chaperonin containing TCP1 subunit 5 as a novel pan-cancer prognostic biomarker for tumor stemness and immunotherapy response: insights from multi-omics data, integrated machine le... by Jiajun Li, Nuo Xu, Leyin Hu, Jiayue Xu, Yifan Huang, Deqi Wang, Feng Chen, Yi Wang, Jiani Jiang, Yanggang Hong, Huajun Ye

“…Methods We performed a comprehensive multi-omics pan-cancer analysis of CCT5 across 33 cancer types, integrating bulk RNA-seq, single-cell RNA-seq (scRNA-seq), and spatial transcriptomics data. …”
Get full text

Novel Bounds for Incremental Hessian Estimation With Application to Zeroth-Order Federated Learning by Alessio Maritan, Luca Schenato, Subhrakanti Dey

Get full text

Teenagers’ Digital Security: Sociological Analysis by Sergey G. Ushkin, Ekaterina A. Koval, Marina D. Martynova

Get full text

SYNCode: Synergistic Human–LLM Collaboration for Enhanced Data Annotation in Stack Overflow by Meng Xia, Shradha Maharjan, Tammy Le, Will Taylor, Myoungkyu Song

Get full text

ROASMI: accelerating small molecule identification by repurposing retention data by Fang-Yuan Sun, Ying-Hao Yin, Hui-Jun Liu, Lu-Na Shen, Xiu-Lin Kang, Gui-Zhong Xin, Li-Fang Liu, Jia-Yi Zheng

Get full text

scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling by Shuo Wang, Yuanning Liu, Hao Zhang, Zhen Liu

“…Conclusions: In this paper, we validate the proposed scE2EGAE method through its application to the denoising task of scRNA-Seq data. This method demonstrates its capability to learn inter-cellular relationships and construct cell-to-cell graphs, thereby enhancing the downstream analysis of scRNA-Seq data. …”
Get full text

The applications of anterior segment optical coherence tomography in glaucoma: a 20-year bibliometric analysis by Yijia Huang, Di Gong, Kuanrong Dang, Lei Zhu, Junhong Guo, Weihua Yang, Jiantao Wang

Subjects: Get full text

A Survey on Data Selection for Efficient Speech Processing by Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza

“…Our analysis reveals that targeted data selection not only alleviates computational burdens but often enhances model robustness and performance by strategically filtering redundant, noisy, or detrimental training examples. …”
Get full text

2.5D deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma by Xiaoxin Huang, Xiaoxiao Huang, Kui Wang, Haosheng Bai, Xiuxian Lu, Guanqiao Jin

“…This study aims to investigate the potential of combining 2.5D deep learning radiomics with clinical data to predict OLNM in lung adenocarcinoma. …”
Get full text

AI and Data Analytics in the Dairy Farms: A Scoping Review by Osvaldo Palma, Lluis M. Plà-Aragonés, Alejandro Mac Cawley, Víctor M. Albornoz

Get full text

Multi-Index Assessment and Machine Learning Integration for Drought Monitoring Using Google Earth Engine by Xulong Duan, Rana Waqar Aslam, Syed Ali Asad Naqvi, Dmitry E. Kucher, Zohaib Afzal, Danish Raza, Rana Muhammad Zulqarnain, Yahia Said

“…This study advances multisensor remote sensing data fusion integrating optical (Sentinel-2, MODIS), thermal (LST), and hydrological (SMAP) sensors with climate datasets to evaluate soil moisture dynamics at five depths (0–50 cm) across nine agricultural zones (October 2021–September 2023), leveraging AI and machine learning to address data quality challenges in heterogeneous sensor inputs. …”
Get full text