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

Comparative Analysis of Linear Regression and Neural Network Algorithms for Stock Price Prediction by Eldrianto Christian Wibowo, Ariya Dwika Cahyono

“…The experimental results show that the Linear Regression model consistently produces more accurate predictions with lower error values compared to the Neural Network. Although Neural Networks are more flexible in capturing non-linear patterns, Linear Regression demonstrates greater stability under market conditions present in the observed data period.…”
Get full text

A temporal approach to urban crime forecasting using recurrent neural networks by Juan Pablo Perez Leal, Andrés Sebastián Ríos, David Romo-Bucheli

“… This study investigates the use of Recurrent Neural Networks (RNNs) and Long ShortTerm Memory (LSTM) networks to predict crime patterns in Bucaramanga, Colombia. …”
Get full text

A Dual-band Planar Antenna for Wireless Local Area Network Applications by Yasser A. Fadhel

“…Simulation results for the input reflection coefficient, realized gain, and radiation pattern have been considered to evaluate their features. …”
Get full text

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. …”
Get full text

Predictive Modeling of Urban Travel Demand Using Neural Networks and Regression Analysis by Muhammed Ali Çolak, Osman Ünsal Bayrak

“…Additionally, a macro-level simulation was conducted using VISUM (Release 18.2.22) software to evaluate the current transportation network and assess the potential impacts of proposed improvement scenarios. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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

“…In this paper, we proposed a collaborative approach to detect crime patterns and criminal emotions with the aim of enhancing judiciary decision-making. …”
Get full text

Rice Leaf Nutrient Deficiency Classification System Using CAR-Capsule Network by M. Amudha, K. Brindha

“…CAR-Capsnet’s innovative use of contextual attention routing significantly enhances the model’s ability to navigate and interpret complex visual features and patterns, leading to improved classification accuracy compared to previous routing methods. …”
Get full text

Novel Approach in Vegetation Detection Using Multi-Scale Convolutional Neural Network by Fatema A. Albalooshi

“…Vegetation segmentation plays a crucial role in accurately monitoring and analyzing vegetation cover, growth patterns, and changes over time, which in turn contributes to environmental studies, land management, and assessing the impact of climate change. …”
Get full text

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

“…Deep learning has emerged as an effective approach, offering robust capabilities to process large datasets, and uncover intricate relationships and patterns.MethodsIn this systematic literature review, we explore research conducted over the past decade, focusing on the use of deep learning techniques for community detection in social networks. …”
Get full text

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. …”
Get full text

Harnessing Large Language Models and Deep Neural Networks for Fake News Detection by Eleftheria Papageorgiou, Iraklis Varlamis, Christos Chronis

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Temporal Logical Attention Network for Log-Based Anomaly Detection in Distributed Systems by Yang Liu, Shaochen Ren, Xuran Wang, Mengjie Zhou

“…Through comprehensive empirical analysis and case studies, we validate that TLAN can effectively capture both temporal patterns and logical correlations in log sequences, making it especially suitable for modern distributed architectures. …”
Get full text

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

“…An innovative intra- and inter-channel separable convolution module is designed to extract deep interaction patterns through parallel convolution operations within and across signal channels. …”
Get full text

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. …”
Get full text