It is worth noting that there is a gap in the literature, as clear ideas are lacking on how to effectively utilize deep learning based on artificial neural networks (ANN) in the cloud.
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
It is worth noting that there is a gap in the literature, as clear ideas are lacking on how to effectively utilize deep learning based on artificial neural networks (ANN) in the cloud.
Consensus across the literature
Clustered from 3 gap mentions across 3 papers via embedding cosine ≥ 0.62.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Should we replace radiologists with deep learning? Pigeons, error and trust in medical AI (2021) · doi
Furthermore, I argue that the reliability of AI methodologies such as deep neural networks-which are at the center of this argument-is something that has not yet been established, and doing so faces fundamental challenges.
Keywords: argue reliability methodologies deep neural networks center argument something established doing faces fundamental challenges - DRIVING DIGITAL BUSINESS TRANSFORMATION IN GREEN SMART CITIES WITH ARTIFICIAL INTELLIGENCE AND CLOUD COMPUTING (2025) · doi
It is worth noting that there is a gap in the literature, as clear ideas are lacking on how to effectively utilize deep learning based on artificial neural networks (ANN) in the cloud.
Keywords: worth noting there literature clear ideas lacking effectively utilize deep learning based artificial neural networks - Person Recognition from Gait Analysis for Smart Spaces by using MLP-based DNN model (2023) · doi
However, when the literature is examined, it is understood that the number of research in which Deep learning algorithms are used in order to increase the success of the studies in this direction and the system practicality is insufficient.
Keywords: literature examined understood number deep learning algorithms used order increase success direction system practicality insufficient
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