This parametric study investigates the structural behaviour of rigid pavement slabs resting on treated and untreated
expansive subgrades. The research analyses the response of the pavement system when subjected to critical wheel loading
applied at both the edge and interior zones of the slab. The parametric variations...
C. Satyasri, G. S. V. Prasad Raju· International Journal for Re...· 0 citations
Smart manufacturing improves flexibility in conventional mass production processes by leveraging cutting-edge computing technologies. This approach maintains efficiency and cost-effectiveness while enabling the on-demand production of highly customized products. The testing and development of novel materials that facil...
Sandip Kunar, T. Jagadeesha, Anusha Mylavarapu et al.· 0 citations
This whitepaper presents the RESCALE pilot implementation with Peer Stritzinger GmbH (PST), a German SME developing the GRiSP ecosystem, including GRiSP.io, a cloud-hosted SaaS platform for cloud-to-edge computing and device management. The document describes how RESCALE was integrated into the GRiSP.io software develo...
University of Piraeus, Peer Stritzinger GmbH, Cyberalytics· Zenodo (CERN European Organi...· 0 citations
Running a dense neuro-fuzzy sliding mode controller (SMC) on a resource-constrained UAV edge platform forces a three-way trade-off between compute, formal stability guarantees, and robustness to uncertainty. We recast the extended Kalman filter (EKF) from state estimation into weight-space prediction, which lets the co...
The evolution of modern civil engineering integrates real-time structural control systems, such as Active Tuned Mass Dampers (ATMDs) and semi-active seismic protection networks, governed by Internet-of-Things (IoT) sensors and edge-computing algorithms. These smart structures dynamically counteract wind-induced acceler...
The evolution of modern civil engineering integrates real-time structural control systems, such as Active Tuned Mass Dampers (ATMDs) and semi-active seismic protection networks, governed by Internet-of-Things (IoT) sensors and edge-computing algorithms. These smart structures dynamically counteract wind-induced acceler...
This paper explores the role of the Internet of Things (IoT) in the architectural development and implementation of modern smart cities. It examines the integration of IoT-enabled sensors, communication protocols, and cloud computing architectures to enhance urban infrastructure, intelligent traffic management, smart e...
Gaurav Patoliya· Zenodo (CERN European Organi...· 0 citations
Long-wave infrared (LWIR) imaging is widely used in night vision and thermal target recognition, but often suffers from noise and blurred edges. Here, we present a distributed Bragg reflector–liquid crystal (DBR-LC) framework for reconfigurable optical preprocessing of LWIR images. By combining the angle-dependent phas...
Abstract Pasture nutritive value is an important indicator of production efficiency in grazing systems. Remote sensing using unmanned aerial vehicles (UAVs) equipped with multispectral sensors could be an alternative to estimate pasture nutritional value through vegetation indices (VIs) and monitor animal feeding behav...
Guilherme Lobato Menezes, R.R. Mantovani, Maria Elisa Montes et al.· Journal of Animal Science· 0 citations
Transcatheter mitral valve interventions including transcatheter edge-to-edge repair and transcatheter mitral valve replacement have emerged as vital therapies for secondary mitral regurgitation (SMR) in patients at high or prohibitive surgical risk. Advanced multimodality imaging is central to patient selection, proce...
O. Chehab, R. Capasso, Victoria Delgado et al.· Circulation Cardiovascular I...· 0 citations
Can local physical learning destroy the conducting structure needed to define its own task? We study the Euclidean projected conductance-gradient flow of a finite passive resistor network with two fixed-potential terminals, one output, and one interior scalar target, under an explicit prune-and-continue convention for...
Oleg Dolgikh· Zenodo (CERN European Organi...· 0 citations
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
