Probabilistic Interference Prediction for Dynamic 6G In-X Sub-Networks by Pramesh Gautam, Carsten Bockelmann, Armin Dekorsy

Get full text

A vehicular network–based intelligent transport system for smart cities by Tayyaba Zaheer, Asad Waqar Malik, Anis Ur Rahman, Ayesha Zahir, Muhammad Moazam Fraz

“…We used a vehicular ad hoc network to implement an intelligent transportation system. …”
Get full text

Optimized driver fatigue detection method using multimodal neural networks by Shengli Cao, Peihua Feng, Wei Kang, Zeyi Chen, Bo Wang

“…Two advanced neural network models were developed and evaluated: a multimodal feature combination model and a multimodal feature coupled model. …”
Get full text

Neuropathic Pain Detection: An EEG-Based Brain Functional Network Approach by Abdulyekeen T. Adebisi, Ho-Won Lee, Kalyana C. Veluvolu

“…To address these challenges, our study utilizes electroencephalogram (EEG) signals to analyze BFNs through the weighted phase lag index (wPLI), capturing unique connectivity patterns associated with NP. Additionally, we employ a minimum dominating set (MDSet) approach to assess network control, revealing functional disruptions across various stages of NP severity. …”
Get full text

Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network by Yang Gao, Xiang Zhang, Zhongquan Sun, Payal Chandak, Jiajun Bu, Haishuai Wang

“…The approach effectively integrates relations between patients and ADRs, and harnesses the power of heterogeneous Graph Neural Networks (GNNs) to address the limitations of traditional methods. …”
Get full text

Resilience assessment of interprovincial crop virtual water flow network in China by Hongrong Huang, La Zhuo, Yiping Wu, Yilin Liu, Xiangxiang Ji, Pute Wu

“…Finally, we evaluated network resilience through four dimensions (resistance, absorptive, adaptive, and transformative capacities) by simulating structural and functional responses under both intentional and random node failure scenarios for three major crops (rice, wheat, and maize). …”
Get full text

Parenting styles and preschool children's development: from network analysis perspective by Jiahao Han, Jiahao Han, Zhixiong Yan, Zhixiong Yan

“…Protection) and five key developmental domains (Cognition, Emotion, Language, Art, and Body) in a large sample of preschool children. Using network analysis, we evaluated data from 6,394 Chinese parents who completed the Preschool Development Scale (PDS) and Parenting Style Scale (PRSS). …”
Get full text

Transformer-based structural connectivity networks for ADHD-related connectivity alterations by Liting Shi, Lei Shi, Zhijun Cui, Chengting Lin, Rui Zhang, Jiayi Zhang, Yechen Zhu, Wei Shi, Jianlin Wang, Yanlong Wang, Dongxing Wang, Haihong Liu, Xin Gao

“…Results Here we show that the proposed method performs well in distinguishing ADHD individuals from healthy controls, with accuracy reaching 71.9 percent and an area under curve of 0.74. The structural networks also reveal significant differences in connectivity patterns (paired t-test: P = 0.81 × 10−6), particularly involving regions responsible for motor and executive function. …”
Get full text

Three decades of collaboration in rheumatology: a comprehensive co-authorship network analysis (1994–2023) by Naruaki Ogasawara

“…Introduction This study investigated the evolution of collaborative research in rheumatology over 3 decades (1994–2023), utilizing co-authorship network analysis to uncover key contributors, structural trends, and global collaboration patterns. …”
Get full text

Evaluation of high-standard public transport centres in the Slovak Republic by Horňák Marcel, Struhár Peter, Pšenka Tomáš

Get full text

Application of wings interferential patterns (WIPs) and deep learning (DL) to classify some Culex. spp (Culicidae) of medical or veterinary importance by Arnaud Cannet, Camille Simon Chane, Aymeric Histace, Mohammad Akhoundi, Olivier Romain, Pierre Jacob, Darian Sereno, Marc Souchaud, Philippe Bousses, Denis Sereno

“…Abstract In this paper, we test the possibility of using Wing Interference Patterns (WIPs) and deep learning (DL) for the identification of Culex mosquitoes species to evaluate the extent to which a generic method could be developed for surveying Dipteran insects of major importance to human health. …”
Get full text

Resting state BOLD-perfusion coupling patterns using multiband multi-echo pseudo-continuous arterial spin label imaging by Alexander D. Cohen, Stefano Moia, G. Bruce Pike, César Caballero-Gaudes, Yang Wang

“…In this study a multiband, multi-echo (MBME) pseudo-continuous ASL (pCASL) sequence was used to collect simultaneous BOLD and ASL data in a group of healthy control subjects, and the patterns of BOLD-CBF coupling were evaluated. Coupling was also correlated with the BOLD RS measures. …”
Get full text

Optimize building energy efficiency design and evaluation with machine learning by Chun Gu

“…With the increasing demand for energy efficiency optimization in the building industry, this study explores the application of machine learning technology in building energy efficiency design and evaluation. By comprehensively analyzing energy consumption data, environmental factors, building characteristics, and user behavior patterns, this paper proposes a machine learning-based approach aimed at accurately predicting and improving the energy efficiency of buildings. …”
Get full text

Economic Evaluation of System-Wide Implementation of Kidney Supportive Care by Lisa L. Brady, Annie Hutton, Jeremy R. Chapman, Gerard Duck, Tessa Gastrell, Angela Makris, Dennis McCarthy, Michael Noel, Liz Hay, Peter Choi

Get full text

Postmarketing safety evaluation of pemetrexed using FAERS and JADER databases by Luo Lv, Xiangyang Wu, Yubo Ren, Yuli Guo, Haixiong Wang, Xiaofang Li

“…This study conducted a comprehensive pharmacovigilance analysis using two major spontaneous reporting systems—FAERS (2004Q1–2024Q3) and JADER (2007Q1–2024Q3)—to evaluate pemetrexed-related ADEs. Disproportionality analysis was performed using four algorithms: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS). …”
Get full text

Relationship of Community Mobility, Vital Space, and Faller Status in Older Adults by Diego Robles Cruz, Andrea Lira Belmar, Anthony Fleury, Méline Lam, Rossana M. Castro Andrade, Sebastián Puebla Quiñones, Carla Taramasco Toro

Get full text

Social Network Community Detection by Combining Self-Organizing Maps and Genetic Algorithms by Mehdi Ellouze

“…Community detection is one of these tools and aims to detect a set of entities that share some features within a social network. We have taken part in this effort, and we proposed an approach mainly based on pattern recognition techniques. …”
Get full text

A Single RF MIMO Loading Network for High-Order Modulation Schemes by Bo Han, Vlasis I. Barousis, Antonis Kalis, Constantinos B. Papadias, Athanasios G. Kanatas, Ramjee Prasad

Get full text

Evaluating Lightweight Transformers With Local Explainability for Android Malware Detection by Fatima Bourebaa, Mohamed Benmohammed

Get full text

Evaluating impact of different factors on electric vehicle charging demand by Shakker Soheila, Esmi Nima, Shahbahrami Asadollah

“…Leveraging long short-term memory networks – effective in modeling time-series data – we evaluate the impact of contextual features on forecasting performance. …”
Get full text