Adaptive traffic signal control is crucial for improving urban mobility and supporting environmental sustainability. Driver behavior heterogeneity has a significant impact on intersection performance, but its effective integration into reinforcement learning models remains challenging. This study proposes HARLight, a s...
Xinyuan Li, Minghui Ma, Shidong Liang et al.· International Journal of Sus...· 0 citations
This dataset accompanies a study testing whether nucleus accumbens dopamine (DA) acts as an action-contingent reinforcement signal shaping juvenile social play in a sex-divergent manner, and whether Shank3 deficiency disrupts this signal. We collected multi-modal data from wild‑type (WT) and Shank3+/- (PND 35-85) durin...
This version corrects a wrong arXiv identifier and removes the results of a withdrawn preprint. Version 2 cited the CONCAT framework as arXiv:2605.29511, which is a different paper (DynaGraph); CONCAT is arXiv:2605.29612, and all three citations are corrected. CONCAT was then withdrawn by its authors on 2026-09-22, who...
Saluca Agentic AI Research Team· Zenodo (CERN European Organi...· 0 citations
This version (2026-09-26) corrects a citation error found by an automated check and confirmed by hand against the arXiv abstracts. Version 2 cited the identifier 2606.04428, an unrelated astrophysics paper on fast-spinning black holes, for the theoretical framework in which chaotic recurrent dynamics produce local roug...
Saluca Agentic AI Research Team· Zenodo (CERN European Organi...· 0 citations
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Causal inference has been studied for a long time. However, it is not always clear how current causal models can best be adapted for practical use. In particular, there remains a gap between the theoretical settings in which these models are developed and the requirements of real-world clinical practice. Furthermore, s...
Project TALOS is an autonomous research intelligence platform powered by deep reinforcement learning (DDDQN), multi-tier LLM orchestration, and the Grey Wolf Optimizer (GWO). It conducts end-to-end scientific literature discovery and evaluation across 16 academic APIs.
Christos Smarlamakis, Efstratios Georgopoulos· Zenodo (CERN European Organi...· 0 citations
A Real-time Integrated Adaptive Stable Offloading (RIASO) algorithm is proposed based on Lyapunov optimization (LO), Multi Output Learning (MOL), and DRL that optimizes network data processing capabilities while maintaining long-term data queue stability and average consumed power constraints that makes it adaptable to...
Hala Elhadidy, H. Saleh, R. Rizk et al.· Cluster Computing· 0 citations
This article provides a beginner-friendly introduction to Machine Learning and explains how artificial intelligence systems learn patterns from data. It discusses the role of data, the training process, and the main approaches to machine learning, including supervised learning, unsupervised learning, and reinforcement...
Sofia Boukefa· Zenodo (CERN European Organi...· 0 citations
Vision-based swimmer and drowning detection systems, built primarily on lightweight YOLO architectures, have achieved measurable gains in accuracy while shrinking model size for resource-constrained edge hardware. However, Field-Programmable Gate Array (FPGA) accelerators hosting these models continue to rely on conven...
Luigi Bautista· Zenodo (CERN European Organi...· 0 citations
This survey unifies vehicular, UAV-swarm, and MANET studies in one decision-centered framework, and concludes with open challenges that reframe learning-based routing around generalization, prediction reliability, security, reproducible evaluation, and deployability rather than incremental packet-delivery gains.
This chapter explores how Artificial Intelligence (AI) will support the future of wireless communication systems through advances in 6G networks, IoT ecosystems, and edge computing technologies. Technologies that enhance machine learning (ML), deep learning (DL), and reinforcement learning (RL) algorithms to improve ne...
Abdulmumini Yakubu Musah, Farida Shehu Garki, Muhammad Aliyu Suleiman et al.· Handbook of Artificial Intel...· 0 citations
PIREUS is an autonomous operator foundry, hardware-capability ontology engine, and verifiable reinforcement learning compiler framework designed for the Sounio programming language ecosystem. It operates at the intersection of non-associative Cayley-Dickson hypercomplex algebras, formal silicon microarchitecture ontolo...
Demetrios Chiuratto Agourakis· Zenodo (CERN European Organi...· 0 citations
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
