ABSTRACT Underground surveying and mineral exploration increasingly rely on high‐resolution panoramic imaging for digital‐twin construction and remote operation. Yet transmitting massive visual data from remote mining sites is constrained by limited terrestrial infrastructure, high latency, and strict privacy requireme...
Rui Zhang, Changjun Song, Jiahao Liu et al.· Transactions on Emerging Tel...· 0 citations
Overview This dataset provides a geospatially enriched version of the EVRPTW benchmark instances of Schneider et al. (2014). It is intended for evaluating routing algorithms for electric vehicles when route optimization and physically based energy consumption must be studied together. Every node of every instance (depo...
Iyed GUIZENI, Mariem Belhor· Zenodo (CERN European Organi...· 0 citations
This review systematically compares CNNs, RNNs/LSTMs, Transformers, GNNs, GANs, and hybrid architectures, as well as transfer learning, self-supervised learning, contrastive learning, few-shot learning, lightweight networks, edge computing, and multimodal fusion.
Wei-Hao Wang, Zhi-Dan Jiang, Si-Si Yang et al.· Foods· 0 citations
The millet supply chain is riddled with extreme issues in maintaining transparency, traceability, and efficiency at various stages of its functionality, right from farm production to consumer distribution. To address these issues, this paper proposes an integrated Blockchain–Cloud–Edge–IoT system for a Millet Supply Ch...
This chapter surveys quantum computing and its integration with cloud infrastructures for decision support. It introduces the algorithmic core (Shor, Grover, variational circuits, and quantum linear-algebra routines), then situates current devices in the Noisy Intermediate-Scale Quantum (NISQ) regime – sources of noise...
Jovan Ivković, Jelena Lužija Ivković· AI and Human Expertise for S...· 0 citations
We present a systematic experimental study of what an observer with a restricted read channel can learn about a deterministic source whose full state is inaccessible to him. The source is a 12-node icosahedral cluster evolving under a discrete second-order update rule; the observer reads a subset of nodes through a fix...
Fedor Kapitanov· Zenodo (CERN European Organi...· 0 citations
Shadow removal is a fundamental challenge in imaging science due to the difficulty of decoupling illumination variations from surface reflectance at shadow boundaries. This paper introduces a novel mathematical framework that reformulates osmosis-based shadow removal as a Cauchy-type inverse problem. A new variational...
Network security architecture is being reshaped by cloud computing, remote and hybrid access, software-defined infrastructure, microservices, encryption, Internet of Things deployments and increasingly adaptive adversaries. These changes have weakened assumptions that a trusted internal network can be protected princip...
Uzoaru Godson Chetachi, C. Nwasuka Stanley, Nwamuruamu Godswill Uchenna et al.· Asian Basic and Applied Rese...· 0 citations
Calibration descriptor and extraction scripts for the Proof of Trust (PoT) proof-of-concept. Provides per-profile, per-dimension distribution parameters derived from the descriptive statistics of real IoT/IIoT security datasets (MQTTset, N-BaIoT, Edge-IIoTset; TON_IoT as contextual reference). Version 1.8 adds manufact...
Mohamed Faraji· Zenodo (CERN European Organi...· 0 citations
guv-calcs is an open-source Python scientific computing library for physically based modeling of germicidal ultraviolet (GUV) light in indoor environments, with a focus on far-UVC (200–235 nm) applications. The library provides core numerical tools for representing lamps, spatial geometry, calculation planes and volume...
Vivian Belenky, Holger Claus· Zenodo (CERN European Organi...· 0 citations
This whitepaper proposes a privacy-preserving federated graph intelligence architecture for fraud detection across Kenya’s account-to-account payment ecosystem, using PesaLink as the principal infrastructure context. The research addresses a structural limitation of institution-level fraud detection: fraudulent activit...
Nevil Maloba· Zenodo (CERN European Organi...· 0 citations
This whitepaper proposes a privacy-preserving federated graph intelligence architecture for fraud detection across Kenya’s account-to-account payment ecosystem, using PesaLink as the principal infrastructure context. The research addresses a structural limitation of institution-level fraud detection: fraudulent activit...
Nevil Maloba· 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
