Emotion-RGC net: A novel approach for emotion recognition in social media using RoBERTa and Graph Neural Networks. by Jiangting Yan, Pengju Pu, Liheng Jiang

“…Despite its strong performance, we identify areas for future research, including reducing the model's reliance on large labeled datasets, improving computational efficiency, and incorporating temporal dynamics to capture emotion evolution in social networks. Our results indicate that Emotion-RGC Net provides a robust solution for emotion recognition in diverse social media contexts.…”
Get full text

Seasonal dynamics of hiking activities in mountainous areas: a topography-aware sequential network modeling approach using crowdsourced trajectories by Jiyuan Li, Xiao Feng, Tao Li, Xiping Yang, Weihang Jing, Xiaoshu Cao

“…Based on the network data and complex network analyses, we identify hiking hotspots, core hubs and critical paths, reveal the popular routes within network communities, and reconstruct the evolution of these communities over time. …”
Get full text

Research on YOLOv5 Oracle Recognition Algorithm Based on Multi-Module Fusion by Xinhang Zhang, Zhenhua Ma, Yaru Zhang, Huiying Ru

“…The recognition of oracle bone script is of significant importance for understanding the evolution of Chinese characters, their morphological features, and semantic changes. …”
Get full text

A self evolving high performance sharded consortium blockchain designed for secure and trusted resource sharing for 6G networks by Xiaorong Zhu, Zhiwei Yuan, Qinyin Ni

“…Blockchain technology offers a promising solution with its decentralized and tamper-resistant features. However, the challenge of balancing decentralization, scalability, and security, known as the “Impossible Triangle,” hinders its seamless integration into 6G networks. …”
Get full text

MKD-Net: A Novel Neuro Evolutionary Approach for Blockchain-Based Secure Medical Image Classification Using Multi-Kernel DLM by Virendra P. Vishwakarma, Abhay Kumar Yadav

Get full text

An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…The neural network tries to relate these morphometric data to their location in order to predict their initial location by providing new morphometric measures to the neural network model. …”
Get full text

Morpho-photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star–Quasar–Galaxy Catalog by Hai-Cheng Feng, Rui Li, Nicola R. Napolitano, Sha-Sha Li, J. M. Bai, Yue Dong, Ran Li, H. T. Liu, Kai-Xing Lu, Zhi-Wei Pan, Mario Radovich, Huan-Yuan Shan, Jian-Guo Wang, Wen-Zhe Xi, Ling-Hua Xie, Zun-Li Yuan, Yang-Wei Zhang

Get full text

A Comprehensive Method for Anomaly Detection in Complex Dynamic IoT Systems by Andrii Liashenko, Larysa Globa

“…These results underline the practical relevance of our approach for real-time monitoring of transportation networks, while also contributing theoretically to the integration of spatial and temporal features in anomaly detection.…”
Get full text

In Situ Capture of High-Temperature Precipitate Phases in Ti-48Al-2Cr-2Nb Alloy Using Convolutional Neural Networks by Xiaolei Li, Chuanqing Huang, Sen Zhao, Linlin Cui, Shirui Guo, Bo Zheng, Yinghao Cui, Yongqian Chen, Yue Zhao, Lujun Cui, Chunjie Xu

“…Observing the lamellar structure is key to exploring growth kinetics, and the feature extraction of precipitate phases can provide an effective basis for subsequent evolution studies and process parameter settings. …”
Get full text

An Insight on the Timely Diagnosis of Diabetic Retinopathy Using Traditional and AI-Driven Approaches by Malaika Asif, Fasih Ur Rehman, Zoya Rashid, Altaf Hussain, Alina Mirza, Waqar Shahid Qureshi

Get full text

Rénovation méthodologique dans l’historiographie littéraire en belgique francophone au xxie siècle by Ándré Bénit

Get full text

Graphical representation of landscape heterogeneity identification through unsupervised acoustic analysis by Maria J. Guerrero, Camilo Sánchez‐Giraldo, César A. Uribe, Víctor M. Martínez‐Arias, Claudia Isaza

Get full text

Artificial Intelligence in the Analysis of Upper Gastrointestinal Disorders by Chang Seok Bang

“…In the past, conventional machine learning was applied to analyze tabulated medical data while deep learning was applied to study afflictions such as gastrointestinal disorders. Neural networks were used to detect, classify, and delineate various images of lesions because the local feature selection and optimization of the deep learning model enabled accurate image analysis. …”
Get full text

A CNN-Based Downscaling Model for Macau Temperature Prediction Using ERA5 Reanalysis Data by Ningqing Pang, Hoiio Kong, Chanseng Wong, Zijun Li, Yu Du, Jeremy Cheuk-Hin Leung

“…In this study, a lightweight downscaling method incorporating a convolutional neural network is proposed to construct a high-resolution temperature prediction model for the Macau region based on ERA5 reanalysis data. …”
Get full text

An Enhanced Framework for Assessing Pluvial Flooding Risk with Integrated Dynamic Population Vulnerability at Urban Scale by Xinyi Shu, Chenlei Ye, Zongxue Xu, Ruting Liao, Pengyue Song, Silong Zhang

“…By constructing a hydrological–hydrodynamic coupled model using the SWMM and LISFLOOD-FP, this study evaluates the drainage capacity of the pipe network and surface inundation characteristics under both historical and design rainfall scenarios. …”
Get full text

Spiral Dynamics of the Development of the Process of Intellectualization in the Context of Globalization Changes: Methodological Aspects by Shepelenko Svitlana M.

“…The influence of globalization factors on the processes of intellectualization is studied, emphasizing the role of information technology, network society and knowledge economy. The article allocates that the synergetic evolution of human potential is based on different phases of order (stability – homeostasis) or chaos (crisis, danger) under the influence of endogenous and exogenous environment. …”
Get full text

Chiller power consumption forecasting for commercial building based on hybrid convolution neural networks-long short-term memory model with barnacles mating optimizer by Mohd Herwan Sulaiman, Zuriani Mustaffa

“…This paper presents an innovative approach using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model optimized by the Barnacles Mating Optimizer (BMO). …”
Get full text

Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology: Case insights and methodological advances by Yanan Qian, Ting Liu, Cheng Zhai, Hongda Wen, Yuebing Zhang, Menghao Zheng, Hexiang Xu, Dongyong Xing, Xinke Gan

“…Through a case analysis, this study examines the spatiotemporal evolution of microseismic (MS) events, energy characteristics, volumetric features, and fracture network development in surface well hydraulic fracturing. …”
Get full text

Spatial mapping of the localized corrosion behavior of a magnesium alloy AZ31B tungsten inert gas weld by Leslie G. (Bland) Miller, Corey M. Efaw, Rebecca F. Schaller, Kari Higginbotham, Steve D. Johns, Paul H. Davis, Elton Graugnard, John R. Scully, Michael F. Hurley

“…The IMPs and Al-Zn solidification network act as strong cathodes and govern the corrosion processes. …”
Get full text

Insights into the X-shaped fissure propagation and interaction mechanisms of rock specimens: 3D printing experiments and DEM simulations by Yiqing Sun, Wei Huang, Lei Gan, Zhenzhong Shen, Hongwei Zhang, Wenbing Zhang

Get full text