{
  "id": 9399,
  "url": "https://doi.org/10.1007/s00521-023-08957-4",
  "title": "Deep learning: systematic review, models, challenges, and research directions",
  "summary": "Abstract The current development in deep learning is witnessing an exponential transition into automation applications. This automation transition can provide a promising framework for higher performance and lower complexity. This ongoing transition undergoes several rapid changes, resulting in the processing of the data by several studies, while it may lead to time-consuming and costly models. Thus, to address these challenges, several studies have been conducted to investigate deep learning te",
  "authors": "Tala Talaei Khoei, Hadjar Ould Slimane, Naima Kaabouch",
  "category": "research",
  "topics": "jobs-economy,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2023-09-07T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:54.153Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/9399",
  "original_url": "https://doi.org/10.1007/s00521-023-08957-4",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}