Particle swarm optimization (PSO) is a popular method widely used in solving different optimization problems. Unfortunately, in the case of complex multidimensional problems, PSO encounters some troubles associated with the excessive loss of populati...
Devising cooperative or competitive situations is an important teaching strategy in educational practices. Nevertheless, there is still controversy regarding which situation is better for learning. This study was conducted to explore the effects of c...
At a time when game-based learning has become a research hotspot, this study focused on the competition mechanism in gamified learning, aiming to explore the impact of different competition modes on students’ vocabulary learning effect and lear...
A novel k-winners-take-all (k-WTA) competitive learning (CL) hardware architecture is presented for on-chip learning in this paper. The architecture is based on an efficient pipeline allowing k-WTA competition processes associated with different trai...
Consumers often face valuation uncertainty when innovative products are introduced into market, and they may update the valuation about product quality based on historical sales information over time. Based on this background, this study constructed...
Community detection is an important task in the analysis of complex networks, which is significant for mining and analyzing the organization and function of networks. As an unsupervised learning algorithm based on the particle competition mechanism,...
This study examines how dynamic capabilities contribute to sustainable competitive advantage in small and medium-sized enterprises (SMEs), with a particular emphasis on long-term organizational sustainability in dynamic and uncertain environments. Dr...
In this paper, we develop a novel classification algorithm that is based on the integration between competitive learning and the computational power of quantum computing. The proposed algorithm classifies an input into one of two binary classes even...
Relationship management capability is a significant factor in promoting a firm’s service innovation performance. Although there is a rich body of study on the role of relationship management capability in performance of firms, scant attention h...
This paper aimed to develop a useful Machine Learning (ML) model for detecting companies with lasting competitive advantages (companies’ moats) according to their financial ratios in order to improve the performance of investment portfolios. Fi...
This study aims to present an effective VLSI circuit for multi-channel spike sorting. The circuit supports the spike detection, feature extraction and classification operations. The detection circuit is implemented in accordance with the nonlinear en...
This article proposes a novel semi-supervised competitive learning (SSCL) algorithm for vocal pattern classifications in Parkinson’s disease (PD). The acoustic parameters of voice records were grouped into the families of jitter, shimmer, harmo...
In electric power systems, power cable operation under normal conditions is very important. Various cable faults will happen in practical applications. Recognizing the cable faults correctly and in a timely manner is crucial. In this paper we propose...
Object tracking in RGB-thermal (RGB-T) videos is increasingly used in many fields due to the all-weather and all-day working capability of the dual-modality imaging system, as well as the rapid development of low-cost and miniaturized infrared camera...
This study proposes an enhanced model for optimizing cost-sharing strategies in competitive manufacturing supply chains, integrating the effects of learning, forgetting, and sustainable green practices. Building on the foundational framework of a mon...
Automated giant panda (Ailuropoda melanoleuca) behavior recognition (GPBR) systems are highly beneficial for efficiently monitoring giant pandas in wildlife conservation missions. While video-based behavior recognition attracts a lot of attention, fe...
With the rapid development of information technology and the influence of the COVID-19 pandemic, online learning has become an important supplement to the teaching organization form of basic education and higher education. In order to increase user s...
The constant challenge in social interactions involves making informed decisions in the face of competitive and cooperative dilemmas. The decision-making process can be influenced by various factors present in the social context. According to the beh...
E-learning has gained a prominent role in the education scenario, either because of its capacity for extraterritorial coverage, or because of the scale it offers for free and academic courses. How e-learning is being managed and identifying opportuni...
This study investigated the effect of flipped learning in business education, especially teaching corporate sustainability. Although the effect of flipped learning has been demonstrated in many education avenues, it is still rare in business educatio...
The performance of metaheuristic algorithms in solving high-dimensional, non-convex optimization problems is intricately linked to the balance between global exploration and local exploitation. Inspired by biomimetic principles of swarm intelligence,...
With the increased emphasis on competition in academic settings, anxiety is becoming more common, which inevitably has some impact on students’ learning processes and results. This study aimed to explore how competition-induced anxiety influenc...
The aim of this paper is to examine the interdependence between adult education and the competitiveness and innovative potential of the economy in the conditions of sustainable development. To examine the mentioned, we used a sample of data that incl...
One of the modern trends in the design of human–machine interfaces (HMI) is to involve the so called spiking neuron networks (SNNs) in signal processing. The SNNs can be trained by simple and efficient biologically inspired algorithms. In parti...
In recent times, teaching in higher education has undergone a significant transformation. Current advances and innovative proposals in educational science research are centred around a transdisciplinary approach, the so-called integrated curriculum a...
Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative...
In modern urban planning, the problem of bank location requires not only considering geographical factors but also integrating competitive elements to optimize resource allocation and enhance market competitiveness. This study addresses the multi-siz...
This study examines the effects of competitive versus cooperative gamification mechanics on the learning achievement of female first-year middle school students in flipped classrooms, highlighting its implications for designing sustainable learning e...
Carbon emissions trading pilots are an essential environmental regulation tool for incentivizing companies to reduce carbon emissions and a critical initiative for achieving “dual carbon” targets. This study, based on 2366 observations of...
With the popularization and rise in BIM technology usage, BIM education for undergraduate students in architecture, engineering, and construction (AEC) related disciplines has emerged as a priority. This study assesses the BIM learning outcomes of st...
This study intends to portray how varying degrees of environmental policy stringency and the growing pressure of global competition reflect on high-tech (HT) sectors’ cost rationalization strategies and lead to environmental consequences in 15...
In contemporary business environments, manufacturing companies must continuously enhance their performance to ensure competitiveness. Material feeding systems are of pivotal importance in the optimization of productivity, with attendant improvements...
Most previous studies on multi-agent systems aim to coordinate agents to achieve a common goal, but the lack of scalability and transferability prevents them from being applied to large-scale multi-agent tasks. To deal with these limitations, we prop...
The accuracy of underwater acoustic targets recognition via limited ship radiated noise can be improved by a deep neural network trained with a large number of unlabeled samples. However, redundant features learned by deep neural network have negativ...
In the realm of computational problem-solving, the search for efficient algorithms tailored for real-world engineering challenges and software requirement prioritization is relentless. This paper introduces the Multi-Learning-Based Reptile Search Alg...
Autonomous race driving has emerged as a challenging domain for reinforcement learning (RL) applications, requiring high-speed control while adhering to strict safety constraints. Existing RL-based racing methods often struggle to balance performance...
Enhancing organizational resilience is an important way for enterprises to achieve sustained competitive advantage. Based on dynamic capability theory, organizational learning theory, and resource-based theory, this study constructs a theoretical mod...
Despite being an educational approach that has existed for more than five decades, project-based learning (PBL) has remained a conceptual fog, with limited applications beyond the medical and health sciences. This paper detailed the scarcity of the a...
Conventional nursing teaching usually adopts one-way teaching approaches. As such, students cannot think deeply and engage in learning, which results in lower learning motivation and learning achievement. Several studies have indicated that problem-p...
12 May 2022
Environmental issues are a significant field in both research and practice. Manufacturing enterprises are adopting sustainable initiatives to achieve efficient resource usage, emissions reduction, energy utilization reduction, and improve waste manag...
The Competitive Swarm Optimizer (CSO) has emerged as a prominent technique for solving intricate optimization problems by updating only half of the population in each iteration. Despite its effectiveness, the CSO algorithm often exhibits a slow conve...
The main purpose of this paper is to study the influence of various indicators related to the knowledge economy on country competitiveness in the European Union (EU). Based on the Pearson coefficient and panel-data regression models, we analyzed the...
This paper studies the tactical decision-making model of short track speed skating based on deep reinforcement learning, so as to improve the competitive performance of corresponding short track speed skaters. Short track speed skating, a traditional...
Games have long been benchmarks and testbeds for AI research. In recent years, with the development of new algorithms and the boost in computational power, many popular games played by humans have been solved by AI systems. Mahjong is one of the most...
In recent years, the problem of reinforcement learning has become increasingly complex, and the computational demands with respect to such processes have increased. Accordingly, various methods for effective learning have been proposed. With the help...
Cue competition is a key element of many associative theories of learning. Overshadowing, an important aspect of cue competition, is a phenomenon in which learning about a cue is reduced when it is accompanied by a second cue. Overshadowing has been...
Finding context, examples, and ample hands-on experimentation is fundamental for understanding complex ideas in subjects such as science and math. Recent popularity of competitive robotics has become a catalyst in the development of DIY and hobby kit...
31 July 2019
Drawing on Dragoni’s cross-level model of state goal orientation, this research aims to examine the cross-level mediating effect of team goal orientation on the relationships between interteam cooperation and competition and three forms of boun...
In the past few decades, a firm’s innovative climate has received much attention in the context of innovative behavior, competitiveness, and business performance. The existing literature has relied to a great extent on innovative climate as an...
Heating, ventilation and air conditioning (HVAC) systems account for approximately 50% of the total energy consumption in buildings. Advanced control and optimal operation, seen as key technologies in reducing the energy consumption of HVAC systems,...
of 58