Capsule network approach for monkeypox (CAPSMON) detection and subclassification in medical imaging system by M. Nuthal Srinivasan, Mohamed Yacin Sikkandar, Maryam Alhashim, M. Chinnadurai

“…Abstract In response to the pressing need for the detection of Monkeypox caused by the Monkeypox virus (MPXV), this study introduces the Enhanced Spatial-Awareness Capsule Network (ESACN), a Capsule Network architecture designed for the precise multi-class classification of dermatological images. …”
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Evolution characteristics and invulnerability simulation analysis of global zirconium ore trade network by Fanjie Luo, Wei Liu, Mao Xu, Qunyi Liu, Junbo Wang

“…The burgeoning demand for zirconium, driven by the rapid development of smart devices, low-carbon energy technologies, and other emerging industries, underscores the importance of understanding the dynamics of its global trade network. However, the evolutionary patterns of the international zircon ore trade network and its resilience to disruptions remain unclear. …”
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Leveraging CA-ANN modelling for SDGs alignment: Previse future land use patterns and their influence on Mirik Lake of sub-Himalayan Region by Md Ashif Ali, Saleha Jamal, Nilofer Wahid, Wani Suhail Ahmad

“…To forecast and determine possible land-use changes for the years 2030 and 2040, the Modules for Land Use Change Evaluation (MOLUSCE) plug-in Multilayer Perceptron-Artificial Neural Network (MLP-ANN) was trained with the factors DEM, aspect, slope, hillshade, proximity to built-up, waterbody, and road. …”
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Balancing central control and sensory feedback produces adaptable and robust locomotor patterns in a spiking, neuromechanical model of the salamander spinal cord. by Alessandro Pazzaglia, Andrej Bicanski, Andrea Ferrario, Jonathan Arreguit, Dimitri Ryczko, Auke Ijspeert

“…Unlike previous studies that often oversimplified the dynamics of the locomotor networks, our model includes detailed simulations of the classes of neurons that are considered responsible for generating movement patterns. …”
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Rice Leaf Nutrient Deficiency Classification System Using CAR-Capsule Network by M. Amudha, K. Brindha

“…The training and evaluation datasets are sourced from Kaggle, a freely accessible data platform. …”
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Criminal emotion detection framework using convolutional neural network for public safety by Jay Raval, Nilesh Kumar Jadav, Sudeep Tanwar, Giovanni Pau, Fayez Alqahtani, Amr Tolba

“…We adopted a convolutional neural network (CNN) to get first trained on crime datasets to bifurcate crime and non-crime images. …”
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Dual-Path Beat Tracking: Combining Temporal Convolutional Networks and Transformers in Parallel by Nikhil Thapa, Joonwhoan Lee

“…Transformers excel at capturing global, long-range dependencies in sequences, which is valuable for tracking rhythmic patterns over time. Temporal Convolutional Networks (TCNs), with their dilated convolutions, are effective at processing local, temporal patterns with reduced complexity. …”
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Comprehensive bioinformatic profiling of matrix metalloproteinases and their inhibitors: Expression and interaction patterns in head and neck cancer toward predictive biomarkers an... by Rishaba Byju, Sredha Sunil, Sabari Sadhasivan, Rajesh Parsanathan

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A systematic review of deep learning methods for community detection in social networks by Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Monica Garcia Villar, Monica Garcia Villar, Monica Garcia Villar, Helena Garay, Helena Garay, Helena Garay, Isabel de la Torre Díez

“…This review investigates the employed methodologies, evaluates their effectiveness, and discusses the challenges identified in these works.ResultsOur review shows that models like graph neural networks (GNNs), autoencoders, and convolutional neural networks (CNNs) are some of the most commonly used approaches for community detection. …”
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Novel Approach in Vegetation Detection Using Multi-Scale Convolutional Neural Network by Fatema A. Albalooshi

“…This study explores the potential of a multi-scale convolutional neural network (MSCNN) design for object classification, specifically focusing on vegetation detection. …”
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Research on Creep Constitutive Model for High Temperature Reactor Based on Neural Network by ZHANG Fan, DAI Shoutong

“…This allowed the model to capture the intricate deformation patterns with high precision. For the secondary creep, the neural network was employed to perform reverse parameter calibration of the Norton Bailey’s power law. …”
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A Data-Driven Approach to Mitigate Evolving Volumetric Attacks in Programmable Networks by Muhammad Saqib, Halima Elbiaze, Roch H. Glitho

“…To address these limitations, we propose an automated, data-driven method for identifying novel malicious traffic patterns and updating ML model seamlessly in programmable networks. …”
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Harnessing Large Language Models and Deep Neural Networks for Fake News Detection by Eleftheria Papageorgiou, Iraklis Varlamis, Christos Chronis

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ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks by Qiang Wu, Baixue Zhu, Binbin Yong, Yongqiang Wei, Xuetao Jiang, Rui Zhou, Qingguo Zhou

“…In this paper, we propose ClothGAN, which is an innovative framework for “designing” new patterns and styles of clothes based on generative adversarial network (GAN) and style transfer algorithm. …”
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Multi-Head Attention-Based Framework with Residual Network for Human Action Recognition by Basheer Al-Tawil, Magnus Jung, Thorsten Hempel, Ayoub Al-Hamadi

“…However, recognizing patterns across different temporal scales remains challenging. …”
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Temporal Logical Attention Network for Log-Based Anomaly Detection in Distributed Systems by Yang Liu, Shaochen Ren, Xuran Wang, Mengjie Zhou

“…This paper introduces a TLAN (Temporal Logical Attention Network), a novel deep learning framework that integrates temporal sequence modeling with logical dependency analysis for robust anomaly detection in distributed system logs. …”
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Impaired spatial dynamic functional network connectivity and neurophysiological correlates in functional hemiparesis by E. Premi, V. Cantoni, A. Benussi, A. Iraji, V.D. Calhoun, D. Corbo, R. Gasparotti, M. Tinazzi, B. Borroni, M. Magoni

“…The aim of this work was to assess static functional connectivity (large-scale) networks and dynamic brain states, which represent distinct dFNC patterns that reoccur in time and across subjects. …”
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A multimodal functional structure-based graph neural network for fatigue detection by Dongrui Gao, Zhihong Zhou, Zongyao Peng, Haokai Zhang, Shihong Liu, Manqing Wang, Hongli Chang

“…The graph neural network dynamically generates frequency-band-channel correlation matrices and adaptively assigns channel weights through learnable parameters. …”
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GWO-FNN: Fuzzy Neural Network Optimized via Grey Wolf Optimization by Paulo Vitor de Campos Souza, Iman Sayyadzadeh

“…These evaluations demonstrate the model’s strong capability to extract and clearly express intricate patterns within the data. …”
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Epidemic Dynamics and Intervention Measures in Campus Settings Based on Multilayer Temporal Networks by Xianyang Zhang, Ming Tang

“…This study simulates the spread of epidemics on university campuses using a multilayer temporal network model combined with the SEIR (Susceptible–Exposed–Infectious–Recovered) transmission model. …”
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