Synthetic Aperture Radar (SAR) provides all-weather and high-resolution imaging capabilities, making it an important data source for maritime ship detection. However, coherent speckle noise and complex background clutter can obscure weak target responses, while the limited computing resources of edge platforms impose...
Fei Lei, Xiang-Yu Peng, Dun Ao· Measurement science and tech...· 0 citations
Paper 1056 and Paper 1057 measured that the fine-structure constant does not move with the units but moves with energy, and why it stops at low energy. Why, then, is there a quantity built from the same charge and the same Planck constant that does not move at all? This paper answers that. No new theorem or law is clai...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Traditional centralized energy management system (EMS) has some problems, such as delayed response, low reliability and difficult data sharing. This paper proposes a distributed EMS architecture that integrates the Internet of Things (IoT) and edge computing. The system adopts a three-layer architecture of perception l...
Healthcare is increasingly extending beyond episodic measurements obtained in hospitals and clinics toward continuous, context-aware observation at the point of care [...]
Photonic Universe Hypothesis (PUH) — Corrigendum. WHAT IS WITHDRAWN. T365 Result 365.1 — "the cosmological constant is the gradient energy of an incompletely relaxed lattice" — IS WITHDRAWN. T365 Result 365.4 — the prediction of w slightly greater than −1 — IS WITHDRAWN WITH IT. The error was not in the reading of T175...
Brian Martell· Zenodo (CERN European Organi...· 0 citations
A distributed IDS-based collaborative FL (IDS-CFL) across different learning levels: device and fog-cloud, to reduce data transfer and improve accuracy and enable fast processing is proposed, using a Deep Convolutional Generative Adversarial Network model to train data at each level.
Synthetic Biology (SB) has emerged as a highly innovative field over the last two decades, bringing with it a vast array of tools, objectives, and significant recognition within the broader scientific community. As the field has grown, it has attracted researchers from a wide range of disciplines, including biology, bi...
Pasquale Stano, Brian Ingalls, Siyu Li· Frontiers in Bioengineering...· 0 citations
The developments of VPPs in key technologies, scheduling and market design are reviewed, showing how the future digital technologies will transform VPPs out of simple resource pooling to multi-market revenue generation.
Hui-Qun Yu, Zhi-Xin Chen, Xiao-Yan Su et al.· Energies· 0 citations
Artificial intelligence can support climate mitigation, but the computing systems used to develop and operate it can also intensify energy demand, data movement, and greenhouse-gas emissions. This paper presents and evaluates CA-FMLOps—Carbon-Aware Frugal Machine Learning Operations—as a design-science framework for cl...
Savio Chacko Xavier· Zenodo (CERN European Organi...· 0 citations
This technical white paper provides a practical introduction to 6G and the evolution from 5G-Advanced toward the ITU IMT-2030 framework. It covers the 6G vision, standardisation status, usage scenarios, capability targets, system architecture, AI-native networks, AI/ML in RAN and network operations, integrated sensing...
Nishant Tyagi· Zenodo (CERN European Organi...· 0 citations
Laboratory dataset for a locally fabricated flat Coanda-effect screen Fifty-two clear-water runs on a flat Coanda-effect screen intake fabricated from locally available materials, with the measured capture compared against the predictions of the Coanda-effect screen analysis software distributed by the US Bureau of Rec...
Eduardo Carrión Coronel· Zenodo (CERN European Organi...· 0 citations
This chapter includes detailed explanation on unmanned aerial vehicles (UAVs), Received Signal Strength Indicator (RSSI) scanning and communication protocols that can be used to maximize agricultural yield. Internet of Things (IoT) devices in agricultural applications can offer important plant data like soil moisture,...
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
