Buscar recursos académicos

Abstract The deep reinforcement learning techniques offers a novel approach to real-time control for hybrid power flow controllers. This paper introduces a bus voltage optimization adjustment strategy, utilizing a Markov...

Abstract The aviation industry has, no doubt, undergone profound transformations ever since the first powered aircraft flight on December 17, 1903. An especially noticeable aspect of the transformations is in the area o...

Abstract Building energy consumption is dominated by lighting and heating, ventilation, and air conditioning (HVAC) systems, whose operation is often inefficient due to inadequate control strategies and unreliable occupa...

ABSTRACT Objective Although the Musculoskeletal Tumor Society (MSTS) score, Toronto Extremity Salvage Score (TESS), and Knee Society Score (KSS) are widely used for postoperative functional evaluation in patients undergo...

In recent years, the resilience of road traffic during abnormal events has drawn considerable attention. Intelligent navigation systems, which proactively guide drivers along optimal routes in such situations, are viewed...

With the rapid evolution of virtual reality technologies such as digital twins, industrial Internet of Things, edge intelligence, and metaverse, virtual‒reality integration has become a core driving force for the const...

Abstract DriveEmo-FL presents a privacy-preserving, radar-based emotion-recognition framework tailored for autonomous-vehicle (AV) cabins. Leveraging a compact embedded mmWave radar, the system captures upper-body emotio...

More flexible and cooperative decision-making processes are required as a result of society's digital transformation. The role of augmented intelligence, that is the synergistic fusion of artificial intelligence and huma...

Abstract Emotion recognition is fundamental to building socially intelligent robotic systems capable of effective and adaptive Human-Robot Interaction (HRI) and Collaboration (HRC). This literature review synthesizes rec...

Abstract The ability to monitor the safety of natural gas pipelines is guaranteed by leak detection. Systems are capable of responding quickly, and very precisely to events because delays during such events can lead to s...

Abstract This model is highly helpful in thermal management and complex energy systems, particularly where precise control over heat and mass transfer is required. Solarized nanofluids can be used to improve heat absorpt...

Abstract Integrating magnetic field evasion and obstacle avoidance is crucial for the safe operation of intelligent robots, yet the limited sensitivity and discrete structure of magnetic field/pressure dual-mode sensors ...

Video-based road intelligent detection constitutes a critical component in modern intelligent transportation systems, serving as a crucial role for comprehensive transportation planning and emergency traffic management. ...

Abstract Wireless sensing systems enable real-time, non-contact monitoring for next-generation intelligent platforms. Ideal wireless sensing systems feature compact, low power consumption, and long communication range. H...

The main objectives of this study are to enhance the power extraction of photovoltaic (PV) systems under rapidly changing ecological circumstances using Maximum Power Point Tracking (MPPT) and to improve the power qualit...

Smart environments play a crucial role in achieving sustainable development goals, particularly those related to environmental protection and public health. In recent years, environmental degradation caused by air and wa...

The article examines current approaches to optimizing the operating modes of distributed technical systems based on automation and intelligent control technologies, using the example of 10 kV electric networks. The analy...

Abstract Complex systems often involve interactions within groups, namely higher-order networks, rather than simple pairwise connections, which fundamentally reshape how collective dynamics unfold. However, it remains po...

Papers from the 2006 flagship meeting on neural computation, with contributions from physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing Systems (...

Within the context of multi-agent systems, an agent may often find itself in a position where it receives information through informants. These informants are independent agents who have their own interests and, therefor...

In this paper we show an algorithm for dynamic reconfiguration of distributed applications based on the mobile agent model. We also show that the proposed algorithm can be easily implemented in the IPL language, a langua...

When certain enterprise domain needs to make an unusual decision, it will probably require new kind of information. If the interaction model among domains cannot be defined because the decision scenarios are unpredictabl...

Domotics systems are intelligent systems for houses and apartments to control several issues as security and light or climate devices. In this work we present the development of an economic domotic system to control diff...

This paper discusses the main lines used to model intelligent agents that will operate in a Collaborative Online Learning Environment-COLE. The aim of COLE is to evaluate the contribution that Information Technology and ...