Network analysis of adverse event patterns following immunization with mRNA COVID-19 vaccines: real-world data from the European pharmacovigilance database EudraVigilance by Renato Ferreira-da-Silva, Renato Ferreira-da-Silva, Mariana Fernandes Lobo, Ana Margarida Pereira, Ana Margarida Pereira, Manuela Morato, Manuela Morato, Jorge Junqueira Polónia, Jorge Junqueira Polónia, Inês Ribeiro-Vaz, Inês Ribeiro-Vaz

Get full text

Construction of an Artificial Intelligence Model and Application for an Automatic Recognition of Traditional Chinese Medicine Herbals Based on Convolutional Neural Networks by WANG Ganhong, ZHANG Zihao, XI Meijuan, XIA Kaijian, ZHOU Yanting, CHEN Jian

Get full text

The quantity, quality and findings of network meta-analyses evaluating the effectiveness of GLP-1 RAs for weight loss: a scoping review by Michael Nunns, Samantha Febrey, Jill Buckland, Rebecca Abbott, Rebecca Whear, Alison Bethel, Kate Boddy, Liz Shaw, Jo Thompson Coon, GJ Melendez-Torres

“…Objectives We sought to identify the most recent network meta-analyses evaluating the effectiveness of glucagon-like peptide 1 receptor agonists for weight loss; critically appraise included network meta-analyses; provide an overview of the quality and findings of existing network meta-analyses, and identify any pertinent gaps in the evidence; and consider the value of updating the most recent, comprehensive and high-quality network meta-analyses. …”
Get full text

Visual and automatic evaluation of the volume of lung damage on computer tomography with pneumonia caused by COVID-19 by P. M. Zelter, A. V. Kolsanov, S. S. Chaplygin, S. S. Pervushkin

Get full text

Graph Neural Network Classification in EEG-Based Biometric Identification: Evaluation of Functional Connectivity Methods Using Time-Frequency Metric by Roghaieh Ashenaei, Ali Asghar Beheshti Shirazi

Get full text

Modeling and Evaluating a Cache System in ICN Routers Using a Programmable Switch and Computers by Junji Takemasa, Yuki Koizumi, Toru Hasegawa

“…The evaluation shows that the proposed algorithms almost double the forwarding rate compared to a naive implementation without the proposed algorithms under realistic request patterns to data packets. …”
Get full text

Land Use Transition and Regional Development Patterns Under Shared Socioeconomic Pathways: Evidence from Prefecture-Level Cities in China by Xiaodong Zhang, Mingjie Yang, Rui Guo, Yaolong Li, Fanglei Zhong

Get full text

Algorithm for analyzing randomness in point patterns by Tony Sampaio, Jorge Rocha, Cláudia M. Viana, Silvana Camboin, Fábio Marcelo Breunig, Edenilson Nascimento, Elaine de Cacia de Lima Frick

“…However, what is deemed ``random'’ in point spatial patterns may be influenced by socio-environmental factors such as wetlands or transportation networks. …”
Get full text

Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail, Ahmet Sait Alali, Ahmad Muhammad, Mahmoud Ashraf, Sameh O. Abdellatif

“…This study introduces a novel figure of merit for evaluating the stability of perovskite solar cells (PSCs) by employing advanced Long Short-Term Memory (LSTM) neural networks to investigate degradation mechanisms. …”
Get full text

Urban agglomeration transportation resilience: evaluation and evolution analysis using a data-driven model by Zihao Guo, Xuanling Zhou, Cong Lu, Shixin Li, Yunlong Zhu, Yinhang Liu, Zhijian Li

“…This study proposes an innovative, data-driven approach to quantify urban transportation resilience, integrating genetic algorithms (GA), backpropagation (BP) neural networks, and the entropy weighting method. This approach aims to eliminate the introduction of subjective biases by experts in traditional methods, providing a more accurate and objective evaluation results. …”
Get full text

Spatial Heterogeneity in Soil Microbial Communities Impacts Their Suitability as Bioindicators for Evaluating Productivity in Agricultural Practices by Guoqiang Li, Xuanjing Li, Ting Jin, Muyilan Jiang, Peng Shi, Gehong Wei

“…Results revealed marked disparities in soil properties, bacterial community compositions, and co-occurrence network patterns between intra-row and inter-row soils. …”
Get full text

Multi-Scenario Simulation Evaluation and Strategic Zoning of Habitat Services Based on Habitat Quality and Ecological Network: A Case Study of Lanzhou City by Jin Shi, Xianglong Tang

“…Across various analysis radii of space syntax, except for MED at a 6000 m radius, the ecological priority scenario exhibits excellent network accessibility. The coupling coordination degree of the four scenarios generally lies within a mild imbalance level, with a spatial distribution pattern characterized by “high in the west and low in the east”. …”
Get full text

Design of a Methodology to Evaluate the Energy Flexibility of Residential Consumers to Enhance Household Demand Side Management: The Case of a Spanish Municipal Network by Caterina Lamanna, Andrés Ondó Oná-Ayécaba, Lina Montuori, Manuel Alcázar-Ortega, Javier Rodríguez-García

Get full text

Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems by Van Hien Nguyen, Kyoung Kwan Ahn

Get full text

Analysis of traffic patterns between Karkh and Rusafa by Mahdi Lateef Ishraq, Hussein Abed Alaa, Moutaz Asmael Noor

“…Rapid and radical changes in urban activities lead to changes in spatial travel patterns. Recently, users of the road network in Baghdad have faced difficulty in mobility between Karkh and Rusafa due to the congestion of bridges connecting the east of the city to the west across the Tigris River during peak hours. …”
Get full text

Data generation for asphalt pavement evaluation: Deep learning-based insights from generative models by Mohammad Sedighian-Fard, Amir Golroo, Mahdi Javanmardi, Alexandre Alahi, Mehdi Rasti

“…Its generalization capabilities were validated across multiple real-world datasets, demonstrating reliable performance under diverse crack patterns and imaging conditions. By addressing the challenges of data scarcity and improving segmentation accuracy, this research offers a scalable and efficient framework for automated pavement evaluation. …”
Get full text

A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

“…The model is trained here, using data from ten stations in Texas, enabling it to capture both spatial and temporal patterns in atmospheric behavior. Performance evaluation shows notable improvements, with a Root Mean Square Error (RMSE) reduction ranging from 34.11% to 71.63%. …”
Get full text

Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure by Usman Tariq, Tariq Ahamed Ahanger

“…This research addresses the critical need for intrusion detection and mitigation systems by introducing a novel hybrid deep learning model, Stacked Autoencoder–Gated Recurrent Unit (SAE-GRU), specifically designed for IoT networks in smart cities. The study targets the dual challenges of processing high-dimensional data and recognizing temporal patterns to identify and mitigate botnet activities in real time. …”
Get full text

Highly Accurate Brain Tumor Segmentation and Classification Using Multiple Feature Sets by Megha Sunil Borse, Murali Prasad R, Tummala Ranga Babu

“…The Deep Convolutional Network (DCNN) is used to segment the image. The Pulse Coupled Neural Networks (PCNN) categorize the input images as normal and tumor. …”
Get full text

Pore connectivity evaluation and seepage characteristic of ultra deep carbonate reservoirs of permian Qixia formation in NW Sichuan basin by Hao Lu, Zike Ma, Hu Li, Penglei Yan, Xian Liu, Jiale Liu, Cheng Ma, Bo Kang, Boning Zhang, Yulong Zhao, Liehui Zhang

“…It also explores methods for evaluating the connectivity of multi-scale pore networks in the Qixia Formation. …”
Get full text