reinforcement learning

Epistemicide with a Compute Budget: Why the Artificial Intelligence Industry's Claim to Neutrality Is a Colonial Act

Abstract Epistemicide with a Compute Budget: How Artificial Intelligence Industrializes the Colonial Erasure of Global Majority Knowledge Systems Christian ZacaTechO Ortiz Decolonial Social Scientist | Developer, Justice AI GPT | Architect, DIA Framework™ DOI: 10.5281/zenodo.22742021 This paper argues that artificial i...

Swarm and Multi-Agent Robotics: Graph Laplacian Consensus, Formation Control, and Decentralized Learning

This educational module presents a comprehensive academic introduction to Swarm and Multi-Agent Robotics within the Prep4Uni Robotics and AI curriculum. Core Theoretical and Engineering Foundations: Network Representation & Algebraic Graph Theory: Modeling multi-agent systems via time-varying graphs G = (V, E), topolog...

Artificial intelligence and Machine learning in pharmacy and pharmaceutical technology

Artificial intelligence (AI) and Machine learning (ML) are transforming the pharmaceutical lifecycle—from target identification and lead optimization to clinical development, manufacturing, supply chain orchestration, and real-world pharmacovigilance. This review synthesizes recent advances (2018–2025) across core meth...

Implementasi Metode Cerita Bergambar Dalam Menanamkan Nilai Kejujuran Siswa Kelas IV Pada Pembelajaran PAI-BP Di SDN 23 Lembah Melintang Pasaman Barat

Honesty is a fundamental character value for elementary school students, yet its cultivation through Islamic Religious Education and Character Building (PAI-BP) has not been fully optimal in practice. This study aims to describe the implementation of the illustrated storytelling method in instilling the value of honest...

The Role of Self-Confidence in Enhancing Students’ Active Participation in Indonesian Language Learning among Fourth-Grade Elementary School Students

Active participation is essential in Indonesian language learning because it provides elementary school students with opportunities to develop communication skills and engage meaningfully in classroom learning. This study aimed to explore and describe the role of self-confidence in shaping students’ active participatio...

Opt DR-GNN: optimization enabled reliability prediction and hybrid deep reinforcement -graph neural network for dynamic restoration of WDM networks

The ability of an optical network to resist and recover from failures and disruptions reflects its overall effectiveness. Many practitioners and researchers are striving to realize maximum survivability of optical network systems. This paper developed a hybrid Deep Learning (DL) approach for dynamic restoration in Wave...

Thermo-electro-magneto-mechanical vibration and machine learning based multi-objective optimization of MWCNT/GNP hybrid sandwich plate with auxetic honeycomb core

Epistemicide with a Compute Budget: Why the Artificial Intelligence Industry's Claim to Neutrality Is a Colonial Act

Abstract Epistemicide with a Compute Budget: How Artificial Intelligence Industrializes the Colonial Erasure of Global Majority Knowledge Systems Christian ZacaTechO Ortiz Decolonial Social Scientist | Developer, Justice AI GPT | Architect, DIA Framework™ DOI: 10.5281/zenodo.22742021 This paper argues that artificial i...

Reply on RC2

Abstract. Flood risk management is increasingly challenged by climate change, rapid urbanization, and the growing complexity of hydrological systems. Reservoirs play a vital role in flood mitigation, yet traditional rule-curve operations based on historical stationarity are becoming inadequate under non-stationary and...

AI Models for Advancing Plant Tissue Culture and Bioreactors

Artificial intelligence (AI) is altering plant biotechnology by solving significant problems in tissue culture and bioreactor systems, including variability, man-power intensity, and poor reproducibility. Machine learning (ML) algorithms and artificial neural networks (ANNs) have opened the capability of simulating com...

DA-MORL: Structural-Analysis-Coupled Reinforcement Learning for Building Demolition Sequencing (code and data)

Code, trained models, and evaluation data accompanying the manuscript Building demolition sequence optimization using structural-analysis-coupled deep reinforcement learning and a CAD-to-graph representation (submitted to the Journal of Computational Design and Engineering; an earlier version was submitted under the ti...

Dynamic multi-agent deep reinforcement learning-based pricing and incentivization approach in multimodal transportation networks

In multimodal transportation systems, shared mobility services (SMSs) are promoted for their potential to enhance flexibility and reduce congestion. However, SMS demand is often concentrated in high-density areas, which can limit the effectiveness and accessibility for various commuter groups. This uneven integration c...