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Neurocomputers

  • h-index: 1
  • Total citations: 6
  • Total papers: 105
  • Impact factor: 0.06779661016949153
NEU

Neurocomputers

Journal
H-Index = 1
Citations = 6

Papers

Evidence

Recent papers in Neurocomputers

  1. Data modeling for machine learning-based fault detection and prediction in building life support systemsNeurocomputers · Mon,
  2. Hybrid deep learning model for time series forecastingNeurocomputers · Mon,
  3. Technique of intelligent segmentation of tumors on ultrasound images using the U-Net neural network architectureNeurocomputers · Mon,
  4. Use of recurrent neural networks to predict vibration load indicatorsNeurocomputers · Mon,
  5. Mechanisms of emergence and suppression of factual distortions in autoregressive language modelsNeurocomputers · Mon,
  6. Digital structure of inland waterways as a basis for information systems of dispatching services for river transportNeurocomputers · Mon,
  7. Methodology for managing model risks in predicting demand for the manufacturing company's productsNeurocomputers · Mon,
  8. Optimization of neural network models for personalization of educational processes: comparison of methods and variability analysis of architecturesNeurocomputers · Mon,
  9. Analysis of challenges of automatic sentiment detection methods in unstructured textsNeurocomputers · Mon,
  10. Setting up the parameters of dynamic models of the organizational and technological process of railway transport technical vehicles re-pair using Neural ODENeurocomputers · Sun,

About Neurocomputers

Neurocomputers carries 105 indexed papers, 6 citations, h-index 1 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), Neurocomputers sits in Synapse's tracked journal set.

Use the feed below to follow new Neurocomputers 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 — 92 words.