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Discover Artificial Intelligence

  • h-index: 22
  • Total citations: 1,344
  • Total papers: 55
  • Impact factor: 9.98611111111111

Homepage: https://www.springer.com/journal/44163

Discover Artificial Intelligence

Journal
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H-Index = 22
Citations = 1.34K+

Papers

Evidence

Recent papers in Discover Artificial Intelligence

  1. Prediction of water entry loads and motion trajectories for a delta wing cross medium vehicle using a physics guided LSTM modelDiscover Artificial Intelligence · Fri,
  2. Smart contracts and AI agents for secure last-mile pharmaceutical delivery through crowdsourcingDiscover Artificial Intelligence · Fri,
  3. Financial fraud detection model based on dual-layer knowledge graphDiscover Artificial Intelligence · Fri,
  4. Sentiment-guided semantic ranking framework for aspect-aware product review summarizationDiscover Artificial Intelligence · Fri,
  5. Improving reliability of large language models via claim-level self-verification and uncertainty calibrationDiscover Artificial Intelligence · Sat,
  6. Artificial intelligence recommender systems in online marketplaces integrating architectures consumer behavior and personalizationDiscover Artificial Intelligence · Sat,
  7. Comparative evaluation of classical machine learning and deep learning models for early weed detection in precision agricultureDiscover Artificial Intelligence · Thu,
  8. Learning human aligned explanations through supervised aggregation of XAI methods for Arabic sentiment analysisDiscover Artificial Intelligence · Thu,
  9. Awareness based internal reliability monitoring of streaming models using incremental principal component analysisDiscover Artificial Intelligence · Thu,
  10. Informational self meaning as a structural theory in artificial intelligence ontology and epistemologyDiscover Artificial Intelligence · Thu,

About Discover Artificial Intelligence

Discover Artificial Intelligence carries 55 indexed papers, 1,344 citations, h-index 22 in Synapse's enriched corpus. Each paper indexed here includes structured clinical evidence extraction (PICO), methodology classification with level of evidence, and links to related guideline recommendations where applicable.

On Synapse's credibility score (derived from SJR ranking and cross-citation patterns), Discover Artificial Intelligence sits among the highest-credibility cardiovascular journals.

The journal's official homepage is at https://www.springer.com/journal/44163.

Use the feed below to follow new Discover Artificial Intelligence publications with AI-enriched analysis — each paper is decomposed into study design, population, intervention, comparator, primary outcome, and key finding, with the underlying evidence traceable to the primary source.

Deterministic synthesis from Synapse's enriched records — 105 words.