Camouflaged object segmentation refers to the task of accurately extracting objects that are seamlessly integrated within their surrounding environment. Existing deep-learning methods frequently encounter challenges in accurately segmenting camouflag...
Curiosity is viewed as an essential element playing a key role in the learning process, driving learners to proactively identify and bridge knowledge gaps. However, the interaction between instructional strategies and psychological factors in nurturi...
Games are considered a suitable and standard benchmark for checking the performance of artificial intelligence-based algorithms in terms of training, evaluating, and comparing the performance of AI agents. In this research, an application of the Intr...
Autonomous obstacle avoidance is a critical capability for Autonomous Underwater Vehicles (AUVs) to operate safely in dynamic and uncertain marine environments. Traditional AUV control methods rely on precise physical modeling and preset rules, yet t...
This paper discusses the strategic importance of contemporary ionospheric science. It outlines some key features of the evolution of the science from the first practical experiments in the 1920s through to the diverse inter-disciplinary science of to...
Curiosity empowers humans to ask questions about the world and explore it without relying on extrinsic, encouraging rewards such as money. To investigate how this mechanism drives exploration, we implement a curiosity-based approach and test it in a...
This paper introduces Re-DQN, a deep reinforcement learning-based algorithm for comprehensive coverage path planning in lawn mowing robots. In the fields of smart homes and agricultural automation, lawn mowing robots are rapidly gaining popularity to...
The swift advancements in robotics have rendered navigation an essential task for mobile robots. While map-based navigation methods depend on global environmental maps for decision-making, their efficacy in unfamiliar or dynamic settings falls short....
With recent advances in deep reinforcement learning (DRL) and graph neural networks (GNNs), graph-based autonomous exploration methods have significantly improved decision-making performance in complex environments. However, under partial observabili...
Intrinsic motivation provides a principled mechanism for driving exploration in reinforcement learning when external rewards are sparse or delayed. A central challenge, however, lies in defining meaningful novelty signals in high-dimensional and comb...
Active inference offers a unified framework in which agents can exhibit both goal-directed and epistemic behaviors. However, implementing policy search in high-dimensional continuous action spaces presents challenges in terms of scalability and stabi...
As a scientific discipline at the intersection between physics and chemistry, spectroscopy is historically grounded in curiosity-driven experiments of splitting sunlight into its spectral components [...]
After decades of curiosity-driven innovation and engineering advancements of 3D-printed actuators, we continue to witness their endless impacts and ever-expanding opportunities in many applications that touch our lives [...]
This essay examines Diego Valadés, a Franciscan missionary, as a Renaissance “curioso” whose life and work were driven by insatiable inquisitiveness and a desire to acquire knowledge. Through his Rhetorica Christiana, Valadé...
Background: Curiosity is an immanent aspect of human experience linked to motivation, information-seeking, and learning processes. Previous research has highlighted the significant role of the orbitofrontal cortex (OFC) in curiosity-driven behaviors,...
The actual hype around machine learning (ML) methods has pushed the old epistemic struggle between data-driven and theory-driven scientific styles well beyond the academic realm. The potential consequences of the widespread adoption of ML in scientif...
The first part of this contribution describes solutions that were developed to achieve progressively more efficient syntheses of the thiopeptide natural products, micrococcins P1 and P2 (MP1–MP2), with an eye toward exploring their potential as...
Since efficient path planning technology is the key to the safe and autonomous navigation of autonomous ground robots, and in the complex and asymmetrically distributed land environment, the existing path planning and obstacle avoidance technologies...
Robust evidence suggests that humans explore their environment using a combination of topological landmarks and coarse-grained path integration. This approach relies on identifiable environmental features (topological landmarks) in tandem with estima...
The class EC 5.xx, a group of enzymes that interconvert optical, geometric, or positional isomers are interesting biocatalysts for the synthesis of pharmaceuticals and pharmaceutical intermediates. This class, named “isomerases,” can tran...
The expression “quantum materials” identifies materials whose properties “cannot be described in terms of semiclassical particles and low-level quantum mechanics”, i.e., where lattice, charge, spin and orbital degrees of freed...
The present paper is based on a long personal experience of research on the retina. Over almost forty years, questions that were originally pursued as curiosity-driven physiology progressively acquired unexpected translational implications. The retin...
The current unmanned surface vehicle (USV) intelligent obstacle avoidance algorithm based on deep reinforcement learning usually adopts the mass point model to train in an ideal environment. However, in actual navigation, due to the influence of the...
Modern database systems require autonomous CPU scheduling frameworks that dynamically optimize resource allocation across heterogeneous workloads while maintaining strict performance guarantees. We present a novel hierarchical deep reinforcement lear...
In this pilot study, we investigate the psychological and attentional impact of biophilic urban interventions using an immersive virtual reality (VR) framework integrated with real-time eye-tracking. Specifically, it examines whether bio-esthetic enh...
The primary objective of this article is to examine the organizational, economic, and sustainability-related implications of implementing artificial intelligence (AI) systems in small and medium-sized enterprises (SMEs) in Poland. The study combines...
Curiosity lies at the heart of the sixteenth-century miscellany books, which served as precursors to the essay genre. Among them, a truly exceptional piece stands out: La silva curiosa by Julián de Medrano, published in 1583. This work pushes...
This longitudinal study examines the long-term impact of critical pedagogy on the academic and social development of students from a marginalized Mexican American borderland community, with a specific focus on their trajectories in STEM (Science, Tec...
Higher education inculcates in students an enduring curiosity about the world. Accomplishing this goal requires helping undergraduates recognize that learning is a social process occurring within multiple communities of practice. Each of these collec...
Learning how discoveries in chemistry are made and utilized by the users of innovation in chemistry offers several benefits both to chemistry innovation practitioners and to research policy makers. We study the research and societal impact of three d...
Generative artificial intelligence tools, such as Microsoft Copilot, are transforming the teaching of programming by providing real-time feedback and personalized assistance; however, their impact on learning, motivation, and cognitive absorption rem...
Industry 4.0 has created a whole new world for us to explore, and its effects can be seen in every facet of our lives, especially in the workplace where it calls for technology-driven employment. There is a growing need to teach individuals and assis...
Topology optimization of electromagnetic devices is computationally formidable owing to the combinatorial on/off material distribution on unstructured finite element meshes and repeated Maxwell equation solves. This paper develops GPRL-TO, a data-dri...
In an increasingly data-driven world, sparking children’s curiosity for meaningful data exploration provides a powerful foundation for lifelong data literacy. Human–data interaction (HDI) offers a promising approach by making data more ac...
Data-driven models with some evolutionary optimization algorithms, such as particle swarm optimization (PSO) and ant colony optimization (ACO) for hydraulic fracturing of shale reservoirs, have in recent times been validated as one of the best-perfor...
This article presents research on a creative and reflective thinking proposal conducted in the Early Childhood Education teaching degree program of the University of Valencia. The proposal was planned from a transdisciplinary perspective and combines...
Location privacy-preserving methods for location-based services in mobile communication networks have received great attention. Traditional location privacy-preserving methods mostly focus on the researches of location data analysis in geographical s...
Cultural heritage, in all its tangible and intangible expressions, is undergoing a process of renewal driven by the integration of digital technologies and participatory approaches. This study presents a pilot project developed within the SAMOTHRACE...
The increased interest in sensing tattoos reflects a shift in wearable technology, emphasizing their flexible, skin-adherent nature. These devices, driven by advancements in nanotechnology and materials science, offer highly sensitive and customizabl...
Heritage education is increasingly expected to connect past evidence with questions of responsibility, environmental change, and sustainable futures, yet primary learners often encounter heritage through fragmented, visually driven exposure with limi...
There has been a significant rise in the number of individuals searching for genetic relatives using home-based DNA kits alongside online historical records, archival sources, and family stories. Initial studies suggest that these experiences can hav...
Consumer interest in alternative protein sources has grown rapidly, driven by concerns over health, sustainability and environmental impact. This study investigated perceptions, attitudes and behaviours towards alternative proteins among residents of...
Scientific creativity is a crucial indicator of adolescents’ potential in science and technology, and its automated evaluation plays a vital role in the early identification of innovative talent. To address challenges such as limited sample siz...
Scientific culture in pedagogical work involves the integration of scientific principles, values, and practices into education to promote critical thinking, evidence-based reasoning, and curiosity. It fosters an environment where students develop as...
Conventional oral and injectable drug administration still struggles with unstable plasma levels, weak targeting, and considerable systemic toxicity, problems that become especially acute in chronic disease management. Implantable and wearable biomed...
A rich volume of literature has analysed country investment attractiveness in a wide range of contexts. The research has mostly focused on traditional economic concepts—economic, social, managerial, governmental, and geopolitical determinants&m...
Cultured meat, produced by culturing animal cells in vitro, is gaining increasing interest. The first products obtained using this technology were authorized for human consumption in Singapore and the United States, and more are likely to follow in o...
A spiking interest in customer’s value co-creation may be observed lately, especially in the gaming industry. The general purpose of this study is to identify the customers’ inclination to perform game modding as a manner of value co-crea...
Indigenous crops are well adapted to marginal conditions and rich in nutrients, making them promising contributors to food and nutrition security in rural South African communities. This study evaluated the consumer acceptability and community percep...
English proficiency is vital for non-native speakers’ career development, yet classroom instruction alone cannot meet practical demands, making informal digital learning of English (IDLE) increasingly important. Artificial intelligence (AI), wi...
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