THE INTERNET IS THINKING
Earlier sources: Software
Software turns computational ideas into tools and services. This region follows open source projects, developer tools, programming languages, databases, operating systems, and web and cloud platforms.
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 ↗2301 classified signals in the fourteen-day window. Recent momentum: steady. 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.
- 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
Population Frequency of RYR1 and CACNA1S Variants Associated with Malignant Hyperthermia in the Korean General Population: A KOVA Database Analysis ↗
Background/Objectives: Malignant hyperthermia (MH) is a rare but life-threatening pharmacogenetic disorder. It is most often caused by variants in RYR1 and CACNA1S. The frequency of these variants differs across populations. However, no study has examined this in a general, unselected Korean population. Methods: We screened 81 RYR1 and CACNA1S variants from the European Malignant Hyperthermia Group (EMHG) diagnostic panel (79 RYR1, 2 CACNA1S). We searched for these variants in the KOVA II database, which holds genetic data from 5305 healthy Koreans. Each variant was matched by exact genomic po…
- 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
Establishing inherent deformation database for Q355 steel T-joints in stiffened panels by numerical approach and artificial neural network ↗
The typical welding joints in stiffened panels are generally subjected to different structural restraint conditions, and the welding processes applied to individual joints may also vary to some extent. Consequently, inherent deformations may differ among joints within a given structure, and it is difficult to acquire all the inherent deformation data for every joint. Therefore, the conventional inherent strain method faces a variation issue. This study focuses on the stiffened panel structures and takes low-alloy steel T-joints as the research object. By employing experiments and numerical sim…
- 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…
- OpenAlex · Published · First archived
2D theoretically twistable material database ↗
The study of twisted two-dimensional (2D) materials, in which twisting layers create moiré superlattices, has created opportunities for investigating topological phases and strongly correlated physics. The broader potential of a seemingly infinite set of twistable 2D materials remains largely unexplored. Here, we define "theoretically twistable materials" as single- or multilayer structures that allow for the construction of simple continuum models of their moiré structures. Our high-throughput algorithm systematically searches for theoretically twistable semimetals and insulators based on the…
- GitHub · Repository created · First archived
vibe-technologies-llc/resonate ↗
Opinionated media player for Linux
- GitHub · Repository created · First archived
PyModel/jev-judge-mcp ↗
Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Software
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 ↗
Follow a thread
Explore related regions
These navigation suggestions are part of the map’s editorial structure, rather than measured evidence of a connection.