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Earlier sources: Cloud
This software thread follows cloud through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗135 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- Hacker News · Posted on Hacker News · First archived
The Hetzner Cloud network stack – history and technical overview ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Troubleshoot Cloud Run with SSH ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Vallic Cloud is live: all the infrastructure, almost none of the ops ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Disruption to the network of Russian internet and cloud giant Yandex ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Improving DDoS detection in cloud computing through deep learning and feature fusion with TWBO optimization ↗
Abstract A Distributed Denial of Service (DDoS) attack is considered a subclass of Denial of Service (DoS) that causes the severity of the attack in the cloud environment, and the actual service of the network is disturbed by several malicious attempts. One of the general forms of attack is a DDoS attack, which leads to substantial harm and negatively impacts the efficiency of cloud services. Hence, the hybrid Sequential Convolutional Neural Network with Taylor’s Wolf Bird Optimization (SCNN-TWBO) is introduced. The cloud is simulated initially, where the attacker stops the valid users from ac…
- OpenAlex · Published · First archived
Self-supervised 3D point cloud prediction for moving objects based on deep correlation information ↗
Abstract In autonomous driving, the continuous movement of objects exacerbates point cloud sparsity, making future frame prediction a challenging task. While self-supervised methods excel in such dynamic environments by learning temporal evolution directly from unannotated data, existing approaches often model spatial structures and temporal dynamics independently, limiting their effectiveness in sparse and complex scenes. To overcome this limitation, we reformulate point cloud prediction as a unified spatio-temporal correlation learning problem and propose a novel framework, the Motion-guided…
- OpenAlex · Published · First archived
An attention guided local global feature fusion network for robust point cloud registration ↗
Abstract Point cloud registration in complex environments remains challenging because measurement noise, partial overlap, and structural variations can reduce correspondence reliability and registration robustness, while computational efficiency is also critical for practical deployment. These difficulties are closely related to insufficient adaptive modeling of local geometric structures, inadequate suppression of weak global graph connections, and limited exploitation of inter-cloud similarity and discrepancy information. To address these issues, we propose AGLGNet, an attention guided local…
- OpenAlex · Published · First archived
Dealing with Cloud Shadows in Surface Reflectance Retrieval from Drone Hyperspectral Imagery ↗
Drone-based hyperspectral imaging is a powerful tool for environmental monitoring, yet its reliability in mid-latitude regions is often compromised by non-ideal weather conditions. Specifically, cloud shadows and light scattering by Cirrus clouds are influencing the irradiance and are difficult to parameterize. Standard atmospheric correction tools typically assume clear skies, leading to significant inconsistencies in retrieved surface reflectance values when clouds are present. This paper presents a new approach on the basis of the DROACOR atmospheric correction method which couples an empir…
- OpenAlex · Published · First archived
A deep generative adversarial framework with rat-optimized feature selection for efficient intrusion detection in large-scale cloud network traffic environments ↗
Abstract Cloud computing is a fundamental paradigm in modern computing; however, its distributed and multi-tenant nature increases exposure to cyber threats, making effective intrusion detection essential. Despite recent advances in artificial intelligence–based intrusion detection systems (IDS), many existing approaches remain sensitive to class imbalance, computationally demanding, and insufficiently robust under large-scale network traffic conditions. To address these challenges, this paper proposes an AI-driven intrusion detection framework, termed Secured Deep Generative Adversarial Rat-O…
- OpenAlex · Published · First archived
USF-Net: a Unified Spatiotemporal Fusion Network for ground-based remote sensing cloud image sequence extrapolation ↗
Accurate extrapolation of ground-based cloud imagery is foundational to the stability of photovoltaic (PV) power generation systems. However, current methods rely on static kernels that neglect multi-scale cloud dynamics and lack robust temporal guidance for long-range dependency modelling. Moreover, the quadratic computational cost of standard attention mechanisms increases the computational burden of high-resolution inference. To bridge these gaps, we propose the Unified Spatiotemporal Fusion Network (USF-Net), whose principal methodological contribution lies in a directional temporal-to-spa…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Cloud
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
See the collection and counting methodology ↗ · Read the weekly synthesis ↗
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.