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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 ↗138 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
Show HN: BoxHaven – Run Claude Code and Codex on Persistent Cloud VMs ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Every Muse user gets a free computer in the cloud ↗
Hacker News discussion.
- GitHub · Repository created · First archived
naype888-cloud/nava-robertson-schrodinger ↗
NRS and NRS³: exact Robertson–Schrödinger inequality for the path-graph pair (T_d, P_d) and its lift to the product of three path graphs — Lean 4 (Mathlib + physlib), with a declared physical bridge
- Hacker News · Posted on Hacker News · First archived
AWS becomes first cloud provider approved for NATO RESTRICTED workloads ↗
Hacker News discussion.
- GitHub · Repository created · First archived
heranhe/microduck-lab-cloud ↗
Cloud-ready reinforcement learning, interactive simulation and behavior suite for MicroDuck biped robots
- OpenAlex · Published · First archived
ESP32-S3-Based Multimodal Wearable for Remote Vital-Sign Acquisition with ECG-to-PPG Pulse-Arrival-Time Tracking and Functional Cloud Triage: An Engineering Proof of Concept ↗
Continuous remote physiological monitoring requires low-cost sensing nodes to preserve timing fidelity while maintaining secure connectivity and interpretable escalation. This study presents an engineering proof-of-concept platform centered on an ESP32-S3 with AD8232 ECG, MAX30102 PPG/SpO2, and MAX30205 contact-temperature sensing. FreeRTOS separates nominal 100 Hz ECG/PPG acquisition from network communication, and the ECG R-wave-to-peripheral-PPG-foot interval is treated as pulse-arrival time (PAT). Telemetry is transmitted over authenticated HTTPS to a Laravel platform, while a separate Fas…
- OpenAlex · Published · First archived
Short-Term Photovoltaic Power Prediction Method Based on Fusion of Cloud Map Features and Historical-Power Data ↗
Existing data-fusion-driven photovoltaic (PV) power-forecasting methods do not fully exploit cloud-image information. Simple feature concatenation cannot explicitly describe high-order interactions between cloud imagery and historical power, whereas full high-order fusion tensors introduce substantial parameter and computational overhead. This paper proposes a short-term PV power-forecasting method that fuses ground-based cloud-image features with historical-power data. MAGAN is used to enhance the brightness and texture representation of ground-based cloud images. An improved CNN-Transformer…
- OpenAlex · Published · First archived
A novel deep learning and FAOA-based DXCov-FH net for intrusion detection in cloud computing using MapReduce framework ↗
Intrusion Detection in Cloud Computing focuses on analyzing large amount of log data and identifying security threats. Existing approaches struggle with false-positive reduction, scalability, real-time monitoring, and adapting to new attack techniques. To address these issues, a novel method, named Deep Xception convolutional Forward Harmonic Network with Frigate Ablation Optimization Algorithm (DXCov-FH Net_FAOA), is developed. Initially, the cloud environment is modeled to establish network security. The MapReduce framework is subsequently employed to process the generated log data through i…
- OpenAlex · Published · First archived
Privacy-Aware Customer Analytics in Physical Stores Using an Edge-Cloud Hybrid Artificial Intelligence System ↗
Customer analytics in physical stores must operate under three simultaneous constraints that are absent or weaker in online retail: limited on-site computation, strict personal-data privacy obligations, and the lack of a natural digital record of customer behavior. This study proposes an end-to-end edge-cloud hybrid artificial intelligence (AI) system that addresses these constraints jointly. On the edge side, an NVIDIA Jetson Nano device equipped with a Sony IMX477 camera performs motion detection, face detection, person detection, person re-identification, and demographic and affective attri…
- OpenAlex · Published · First archived
Energy-aware hybrid artificial bee colony and reinforcement learning for multi-objective task scheduling in green cloud–fog industrial IoT systems ↗
Efficient task scheduling in Cloud–Fog computing environments remains a critical challenge in Industrial Internet of Things (IIoT) systems due to the conflicting requirements of energy efficiency, latency reduction, and Quality of Service (QoS) assurance. This paper proposes an Energy-Aware Improved Artificial Bee Colony (EA-IABC) algorithm integrated with a Q-learning-based reinforcement learning (RL) module for multi-objective task scheduling in Green IIoT infrastructures. The proposed method enhances the exploration and exploitation capabilities of the standard Artificial Bee Colony (ABC) a…
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.
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These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.