Emerging trends in the evolution of neuropsychology and artificial intelligence: A comprehensive analysis by Haihua Ying, Andri Pranolo, Zalik Nuryana, Andini Isti Syafitri

“…AI-based approaches have demonstrated accurate classification outcomes, providing potential alternatives to time-consuming and non-ecological conventional evaluations. …”
Get full text

To the risk management methodology of unmanned aircraft systems by V. D. Sharov, V. L. Kuznetsov, P. M. Polyakov

“…This allows us to reasonably build the hierarchy of actions according to their impact on risk mitigation and to classify them into three categories. Such a classification is imperative to evaluate the applicability of actions depending on the amount of total risk. …”
Get full text

A Systematic Literature Review of Digital Twin Research for Healthcare Systems: Research Trends, Gaps, and Realization Challenges by Md. Doulotuzzaman Xames, Taylan G. Topcu

“…Furthermore, we provide a non-exhaustive classification of the literature based on two axes: the object (i.e., product or process) and the context (i.e., patient’s body, medical procedures, healthcare facilities, and public health). …”
Get full text

Limited-Data Augmentation for Fault Diagnosis in Lithium-Ion Battery Energy Storage Systems via Transferable Conditional Diffusion by Zhipeng Yang, Yuhao Pan, Wenchao Liu, Jinhao Meng, Zhengxiang Song

“…This study addresses this critical issue by proposing a diffusion-based data augmentation methodology tailored explicitly for battery fault diagnosis scenarios. …”
Get full text

Sparse Attention-Based Residual Joint Network for Aspect-Category-Based Sentiment Analysis by Jooan Kim, Hyunyoung Kil

“…Our experiment validates that SPA-RJ Net consistently outperforms existing models, demonstrating the effectiveness of sparse attention and residual joint learning for aspect category-based sentiment classification.…”
Get full text

Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration by Choudhary Abhik, Adhikari Upasana, Roy Dipankar, Gupta Subir, Roy Priyanka, Bhaduri Aparna

“…An Extra Trees Classifier was trained to perform binary classification of project success deemed as primary indicators, evaluating performance through accuracy, precision, recall, F1 score, log loss, and MSE. …”
Get full text

An efficient method for identifying surface damage in hydraulic concrete buildings by Libo Yang, Dawei Zhu, Xuemei Liu

“…The advanced features of apparent damage in hydraulic structures were elucidated by fine-tuning the top-level parameters of the lightweight pre-trained model, thereby mitigating the data dependency issue inherent in the model. Ensemble learning algorithms are employed to classify high-dimensional samples to enhance the accuracy and stability of the classification. …”
Get full text

Optimizing Sentiment Analysis of Digital Wayang Viewer Comments using SMOTE and the Naïve Bayes Algorithm by mawar hardiyanti, Maria Karmelia Fajarlestari

“…This study contributes to the development of more accurate sentiment analysis models in the context of social media and underscores the importance of techniques like SMOTE in addressing class imbalance issues.…”
Get full text

Atmospheric Modeling for Wildfire Prediction by Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish

“…Our study focuses on developing wildfire prediction models using one-class classification algorithms. These include Support Vector Machine, Isolation Forest, AutoEncoder, Variational AutoEncoder, Deep Support Vector Data Description, and Adversarially Learned Anomaly Detection. …”
Get full text

A multi-rule index to extract brine shrimp from satellite imagery: a case study in Ebinur Lake, China by Jingchen He, Zhenyu Tan, Junli Li, Bo Jiang, Hongtao Duan

“…We evaluated and validated this method using Landsat 8 and Sentinel-2 datasets, achieving a classification accuracy of 94.5% and a kappa coefficient of 0.88, surpassing existing methods. …”
Get full text

CFB：Financial Large Models Evaluation Methods by LI Yi, LI Hao, XU Xiaozhe, YANG Yifan

“…Consequently, the potential of LLMs in the financial domain has not been fully explored. To address these issues, this paper proposes the Chinese financial benchmark (CFB) for evaluating financial LLMs. …”
Get full text

Application of Textual Representation Methods for Clinical Numerical Data in Early Sepsis Diagnosis by Zhang Weimin, Zhou Luyao, Shao Min, Wang Cui, Wang Yu

“…This transformation reframes sepsis prediction into a text classification task, leveraging the rich prior semantic knowledge embedded in pre-trained language models to enhance prediction performance. …”
Get full text

Intelligent gear decision method for vehicle automatic transmission system based on data mining by Yong Wang, Jianfeng Zeng, Pengfei Du, Huachao Xu

“…This study employs data mining techniques to address the issues of low adaptability and low recognition rate in the intelligent gear decision of vehicle automatic transmission systems. …”
Get full text

Legal Regulation of Artificial Intelligence: Experience of China by I. A. Filipova

“…These acts have already entered into force; however, each of them deals with a narrow range of issues, while there is no law to establish general rules for the artificial intelligence industry. …”
Get full text

Synchronization-based graph spatio-temporal attention network for seizure prediction by Jie Xiang, Yanan Li, Xubin Wu, Yanqing Dong, Xin Wen, Yan Niu

“…In the case of challenging subjects that are difficult to classify, we achieved an outstanding average classification accuracy of 97.59%, surpassing the results of previous studies.…”
Get full text

Leveraging foundation and large language models in medical artificial intelligence by Io Nam Wong, Olivia Monteiro, Daniel T. Baptista-Hon, Kai Wang, Wenyang Lu, Zhuo Sun, Sheng Nie, Yun Yin, Jing Ni

“…This review paper explores their applications within medical AI, introducing a novel classification framework that categorizes them as disease-specific, general-domain, and multi-modal models. …”
Get full text

Considerations in using heart rate-based physical activity estimates from consumer wearables in individuals with varying weight status by Denver M. Y. Brown, David Wing, Christopher D. Pfledderer, Peter Stoepker, Stuart J. Fairclough, Jordan A. Carlson

“…In this commentary, we discuss systematic discrepancies between HR-based (relative intensity) and acceleration-based (absolute intensity) classifications of MVPA among individuals with differing weight statuses. …”
Get full text

Semantic Co-Occurrence and Relationship Modeling for Remote Sensing Image Segmentation by Yinxing Zhang, Haochen Song, Qingwang Wang, Pengcheng Jin, Tao Shen

“…Accurate segmentation is essential for applications such as land use classification, infrastructure monitoring, and environmental conservation. …”
Get full text

Possibilities of magnet-resonance tomography usage while examining patients with reccurent genital prolapse by Banakhevych R.M.

Get full text

BERT-Residual Quantum Language Model Inspired by ODE Multi-Step Method by Shaohui Liang, Yingkui Wang, Shuxin Chen

“…Experiments show that in text classification benchmarks, our proposed method generally surpasses baseline models.…”
Get full text