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An animat approach to dynamic team formation in a group of distributed robots is studied. The goal is that robots learn to align with the others in order to form a row or a column without having communication among them,...

With the current trend towards cognitive manufacturing systems to deal with unforeseen events and disturbances that constantly demand real-time repair decisions, learning/reasoning skills and interactive capabilities are...

Digital learning media is indeed developing and plays an important role in creating a pleasant learning environment that can accommodate students' learning needs. Padlet provides space for students to learn digitally, es...

Effective leadership is vital for the high-quality early childhood education and care (ECEC) that positively impacts children’s development. Despite the recognised importance of leadership, there is limited understandi...

Inborn errors of immunity (IEI) are increasing in number, and prompt recognition and diagnosis remain a challenge for clinicians. Use of machine learning (ML) for clinical pattern recognition is promising but has been li...

The extended evolutionary synthesis (EES) emphasizes integrative approaches to understanding distributed adaptability, incorporating development and intergenerational effects, inclusive inheritance and niche construction...

Even with the introduction of additional security features, the progression toward 6G and Open Radio Access Network (O-RAN) architectures expands security risks, increasing both the scale and complexity of mobile network...

Heart disease is rapidly increasing. For early and accurate prediction, advanced machine learning (ML) models are needed. However, the sensitive nature of clinical data, along with strict regulatory constraints, creates ...

IntroductionA research gap exists regarding the association between non-optimal ambient temperature (NOAT) and early childhood development (ECD) in low- and middle-income countries (LMICs). This study investigates the as...

This research describes a deep learning-based artificial neural network (ANN) approach for the detection, classification, and localization of series faults (open conductor faults) in power distribution networks. The ANN ...

YouTube platform video-sharing sebagai sumber belajar pada semua mata pelajaran yang sesuai topik yang dicari. Tujuan pada penelitian ini adalah untuk mengetahui bagaimana cara mengeksplorasi kanal Youtube sebagai sumber...

The power system event detection process must accelerate and become more precise with increasing penetration of renewable energy systems into the grid. The authors discuss a federated learning LSTM (FL-LSTM) that serves ...

Test anxiety stands as one of the most impactful affective factors in the English as a foreign language learning journey. Indeed, current language learning theories affirm the serious impediment of foreign language test ...

The increasing global temperatures have escalated the demand for indoor cooling, thus requiring energy-saving solutions. Traditional approaches often integrate metal layers in cooling windows to block near-infrared (NIR)...

Mining activities in the Kenyan Marble Quarries (KMQ) are a potential source of atmospheric pollution, raising health concerns for the local population. This study aims to examine the extent to which marble mining contri...

Abstract High-density, long-term stable decoding of whole-brain function is crucial for advancing basic neuroscience research and developing neural disorder therapies. However, two major challenges remain: the lack of sc...

Abstract The way in which teachers are distributed in schools is a relevant issue in the discussion of inequalities of educational opportunities. The objective of this paper was identify teachers’ and schools’ charac...

This study aims to analyse the content and frequency of civic competence components found in the main textbook (Buku Teks Utama/BTU) for Grade IX Pancasila Education, published in 2023 by the Ministry of Education, Cultu...

The rapid evolution of Generative Artificial Intelligence (GenAI) and the transition to Society 5.0 have catalyzed a profound socio-technical metamorphosis in global education systems, shifting the role of education lead...

This research aims to identify the English language material needs for pilot students at the Indonesian Civil Aviation Polytechnic in order to improve communication skills that are essential for flight safety and operati...

In this paper, we propose a deep learning approach for forward modeling and inverse design of photonic devices containing embedded active metasurface structures. In particular, we demonstrate that combining neural networ...

This study outline design principles for teacher collaboration that can drive educational innovations and inclusion. Employing abductive analysis anchored on constructivist grounded theory, the study examined how the cyc...

The rapid proliferation of digital devices has generated vast amounts of data, presenting significant challenges in collection, processing, and analysis that traditional systems struggle to overcome. This study investiga...