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Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book...

Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist Temporal Classification make it possible to train RNNs for sequence labelling problems where th...

The central building block of convolutional neural networks (CNNs) is the convolution operator, which enables networks to construct informative features by fusing both spatial and channel-wise information within local re...

During performance of attention-demanding cognitive tasks, certain regions of the brain routinely increase activity, whereas others routinely decrease activity. In this study, we investigate the extent to which this task...

Materias / palabras clave: industrial networks, intelligent systems, cloud-based networks, sensor networks, communication networks; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer h...

Materias / palabras clave: sensor networks, nano-sensor networks, system architecture, wsan, actuator networks; Technology

In this work we show that global topological properties of co-occurrent word networks constructed from texts, seem to be the fingerprint of meaningful sentences. We observe that many statistical properties of these netwo...

Abstract Background Endothelial cells (ECs) orchestrate vascular homeostasis and resilience but can undergo reprogramming into a mesenchymal-like phenotype through an endothelial-to-mesenchymal transition (EndMT). Crucia...

Spiking neural networks (SNNs) offer a biologically inspired, energy-efficient alternative to conventional artificial neural networks (ANNs). However, deep SNNs struggle to process complex EEG signals because their spike...

In the modern globalized world, political processes increasingly occur as a result of interactions between individual actors who form networks. Contemporary political processes are examined through the lens of Policy Net...

Networks and especially network security, have recently become an area of essential concern in data communication due to the ever-present need for data security. Especially that data is to be exposed to the public and tr...

Networks have recently become ubiquitous in many scientific fields. In criminology, social network analysis (SNA) provides a potent tool for analysis of organized crime. This paper introduces basic network terms and meas...

Graph-based text classification has become an effective paradigm for modeling corpus-level structure, particularly under limited supervision. However, most existing approaches rely on document–word representations...

Abstract This paper originates from a practical experiment based on Mesh Networks. The promising results obtained from this experiment prompted us to discuss in greater depth whether Wireless Local Area Networks (WLAN) a...

Airport planning depends to a large extent on the levels of activity that are anticipated. To plan the facilities and infrastructures of an airport system and to be able to satisfy future needs, it is essential to predic...

La comunicación pública de la ciencia se está convirtiendo cada vez más en una actividad esencial en el quehacer científico, no solo para reducir la distancia entre el sistema científico y la sociedad, sino tambié...

Background Individual differences have been detected in individuals with opioid use disorders (OUD) in rehabilitation following protracted abstinence. Recent studies suggested that prediction models were effective for in...

Abstract Similar to any telecommunication network, energy efficiency is a desirable feature for fiber wireless (FiWi) access networks. These networks have optical back end and wireless front end. Both ends may contribute...

El artículo presenta, desde el campo de la sociosemiótica, el análisis de los movimientos de protesta acoplados a las redes sociales mediáticas por la desaparición de 43 estudiantes de la Escuela Normal de Ayotzinap...

Objective and MethodTo achieve rapid coalbed methane (CBM) extraction from broken-soft coal seams using surface horizontal wells, this study proposed a volume fracturing technology for coal seam roof using horizontal wel...

Abstract Microorganisms play key roles in nutrient cycling and soil remediation in saline-alkaline ecosystems. However, how their assembly rules and interaction networks change during natural succession remains unclear. ...

The evolution of metropolitan cities and increasing travel demand impose stringent requirements on traffic assignment methods. Multi-agent reinforcement learning (MARL) approaches outperform traditional methods in modeli...

Embodied and intersubjective experience is crucial to the social cognition processes on which interpersonal relationships are based. We assessed whether promoting these processes through participation in self-awareness a...

Abstract Despite growing interest in understanding urban networks in cyberspace, data availability remains a significant challenge, as few studies have systematically visualized the entirety of cyberspace networks. Using...