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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 ↗2061 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
A Low-Cost Edge–Cloud Prototype for Continuous Bird-Sound Detection and Ensemble-Based Deep Learning Species Classification ↗
This paper presents OrniSonix, a low-cost distributed edge–cloud acoustic monitoring system for continuous bird-sound detection and species classification. The system employs autonomous Raspberry Pi Zero 2W edge nodes equipped with acoustic sensors and 4G/LTE connectivity. The system continuously acquires environmental audio in fixed-duration segments, preprocesses it, transforms it into log-Mel representations, and evaluates it locally with a lightweight bird/no-bird inference gate. Only observations considered likely to contain bird activity are transmitted through an OpenVPN private network…
- OpenAlex · Published · First archived
PTM-PAL Pipeline: A Python Web Platform of Integrative Scoring System for Assessing the Functional Impact of Protein S-Palmitoylation ↗
S-palmitoylation is a reversible lipid modification that can alter protein localization, stability, interactions and signaling, but detection of a modified cysteine does not establish its functional importance. Post-translational Modification-Palmoylation Pipeline(PTM-PAL) is a web-accessible workflow for prioritizing candidate S-palmitoylation sites and modification configurations for functional follow-up. It integrates site-specific evolutionary context and UniProt annotation, paired wild-type and palmitoylated structural models, local protein-body solvent-accessible surface-area remodeling,…
- OpenAlex · Published · First archived
Revocable and time-based secure file hierarchy sharing in cloud-assisted internet of things ↗
Abstract Cloud-assisted Internet of Things (IoT) has been widely accepted for IoT data sharing and outsourcing but owners lose control of their data. Hence, Ciphertext-Policy Attribute-Based Encryption (CP-ABE) is proposed with fine-grained access control for encrypted data. However, a real-world situation exists in which the cloud in the existing schemes may be malicious and with not unlimited resources while data users may access the shared data based on time factor and leave the system dynamically, which can easily lead to data breach leakage, storage exhaustion and privilege confusion. Dat…
- OpenAlex · Published · First archived
scikit-fingerprints : A Python Library for Scikit-Learn-Compatible Molecular Fingerprints and Chemoinformatics ↗
Abstract We present scikit-fingerprints, a comprehensive, fully scikit-learn-compatible library for molecular machine learning in Python, based on RDKit. Molecular fingerprints and related functionalities are workhorses of chemoinformatics, yet the widely used open-source frameworks are not compatible with the wider Python machine-learning ecosystem based on scikit-learn conventions. scikit-fingerprints closes this gap, bringing molecular fingerprints, molecular filters, similarity and distance measures, applicability domain estimation, data-splitting strategies, and more under a single famili…
- OpenAlex · Published · First archived
When Does Representation Learning Help Attack-Path Forecasting? A Controlled Multi-Cloud Study with CAPTURE-MC ↗
Cloud defenders increasingly want to anticipate an attacker’s next move, not merely detect the last one. We study attack-path forecasting in multi-cloud environments: given the partial trace of an in-progress campaign, predict the next ATT&CK technique. We present CAPTURE-MC, a heterogeneous temporal-graph model that encodes cross-provider telemetry and forecasts the next technique under a transition prior, and we release MC-PathBench, a synthetic but structurally faithful benchmark with four leakage-controlled generalization splits (temporal, cross-cloud, unseen-composition, and campaign hold…
- OpenAlex · Published · First archived
Integrative Multi-Database Bioinformatics Characterization of FANCE in Hepatocellular Carcinoma: Prognostic, Epigenetic, Immune, and ncRNA Associations ↗
Background and Objectives: The Fanconi anemia complementation group E (FANCE) is a protein component of the Fanconi anemia (FA) DNA repair complex and contributes to genome integrity. However, its molecular and clinical relevance in liver hepatocellular carcinoma (LIHC) remains incompletely understood. This study characterized the FANCE expression, prognosis, epigenetics, immune responses, noncoding RNA (ncRNA) networks, and other related molecular processes in LIHC. Materials and Methods: An integrative multi-database bioinformatics analysis was conducted using public databases and web-based…
- OpenAlex · Published · First archived
Exploring trust in artificial intelligence in a problem-based computer programming course ↗
Generative artificial intelligence is increasingly used in programming education, but evidence concerning its relationship with achievement and learner trust remains limited in Nigerian higher education. This mixed-methods, quasi-experimental study examined whether integrating Google Gemini into problem-based learning (PBL) was associated with undergraduate students’ programming achievement and trust in AI. Sixty-two students from intact classes participated in a pre-test–post-test design: 29 received Gemini-enhanced PBL, and 33 received PBL without AI. Programming achievement and multidimensi…
- OpenAlex · Published · First archived
An analytical database for reinforced concrete structural walls based on an experimentally validated ML-integrated modeling framework ↗
Experimental datasets of reinforced concrete (RC) structural walls remain limited in both size and parameter diversity, leaving important regions of the design space underrepresented and constraining the development of reliable predictive models. To address these limitations, this study develops an analytical database through nonlinear cyclic simulations using a previously experimentally validated machine learning-integrated modeling framework implemented in OpenSeesPy. The database systematically expands underrepresented combinations of axial load ratio, concrete compressive strength, and rei…
- OpenAlex · Published · First archived
An Open-Source Dual-Channel RTD Thermal Control Platform for Research-Scale PEM Water Electrolysis Balance-of-Plant Integration ↗
Inter-laboratory variation in proton exchange membrane water electrolysis (PEMWE) test bench balance-of-plant systems has contributed to significant disparity in published single-cell polarisation performance data, limiting experimental reproducibility and comparison between laboratories. Harmonisation efforts identify precise low-contamination thermal control of process fluid and cell hardware as a benchmarking requirement. This paper presents the Thermal Stability Regulatory Control Tool (TSRCT-PCB-01), an open-source dual-channel MAX31865-based resistance temperature detector (RTD) thermal…
- Hacker News · Posted on Hacker News · First archived
FastH3-Omni: The best open-source H3 model ↗
Hacker News discussion.
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.
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