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A survey on optimization techniques for edge artificial intelligence (AI)
Artificial Intelligence (Al) models are being produced and used to solve a variety of current
and future business and technical problems. Therefore, AI model engineering processes …
and future business and technical problems. Therefore, AI model engineering processes …
Face mask detection in smart cities using deep and transfer learning: Lessons learned from the COVID-19 pandemic
After different consecutive waves, the pandemic phase of Coronavirus disease 2019 does
not look to be ending soon for most countries across the world. To slow the spread of the …
not look to be ending soon for most countries across the world. To slow the spread of the …
Detection of colorectal polyps from colonoscopy using machine learning: A survey on modern techniques
Given the increased interest in utilizing artificial intelligence as an assistive tool in the
medical sector, colorectal polyp detection and classification using deep learning techniques …
medical sector, colorectal polyp detection and classification using deep learning techniques …
[HTML][HTML] Occupational stress monitoring using biomarkers and smartwatches: a systematic review
This article presents a systematic review of the literature concerning scientific publications
on wrist wearables that can help to identify stress levels. The study is part of a research …
on wrist wearables that can help to identify stress levels. The study is part of a research …
Application of machine learning for insect monitoring in grain facilities
In this study, a basic insect detection system consisting of a manual-focus camera, a Jetson
Nano—a low-cost, low-power single-board computer, and a trained deep learning model …
Nano—a low-cost, low-power single-board computer, and a trained deep learning model …
A lightweight network model based on an attention mechanism for ship-radiated noise classification
S Yang, L Xue, X Hong, X Zeng - Journal of Marine Science and …, 2023 - mdpi.com
Recently, deep learning has been widely used in ship-radiated noise classification. To
improve classification efficiency, avoiding high computational costs is an important research …
improve classification efficiency, avoiding high computational costs is an important research …
A blockchain-based audit trail mechanism: Design and implementation
Audit logs are a critical component in today's enterprise business systems as they provide
several benefits such as records transparency and integrity and security of sensitive …
several benefits such as records transparency and integrity and security of sensitive …
Enhancing urban landscape design: a GAN-based approach for rapid color rendering of park sketches
In urban ecological development, the effective planning and design of living spaces are
crucial. Traditional color plan rendering methods, mainly using generative adversarial …
crucial. Traditional color plan rendering methods, mainly using generative adversarial …
[HTML][HTML] Comparison of shoulder range of motion quantified with mobile phone video-based skeletal tracking and 3D motion capture—preliminary study
Background: The accuracy of human pose tracking using smartphone camera (2D-pose) to
quantify shoulder range of motion (RoM) is not determined. Methods: Twenty healthy …
quantify shoulder range of motion (RoM) is not determined. Methods: Twenty healthy …
Multi-armed bandit algorithm policy for LoRa network performance enhancement
Low-power wide-area networks (LPWANs) constitute a variety of modern-day Internet of
Things (IoT) applications. Long range (LoRa) is a promising LPWAN technology with its long …
Things (IoT) applications. Long range (LoRa) is a promising LPWAN technology with its long …