AI Medical Compendium Journal:
PeerJ. Computer science

Showing 21 to 30 of 54 articles

Enhanced diagnosing patients suspected of sarcoidosis using a hybrid support vector regression model with bald eagle and chimp optimizers.

PeerJ. Computer science
Searching for a reliable indicator of treatment response in sarcoidosis remains a challenge. The use of the soluble interleukin 2 receptor (sIL-2R) as a measure of disease activity has been proposed by researchers. A machine learning model was aimed ...

Integrating lightweight YOLOv5s and facial 3D keypoints for enhanced fatigued-driving detection.

PeerJ. Computer science
Several factors cause vehicle accidents during driving, such as driver negligence, drowsiness, and fatigue. These accidents can be prevented if drivers receive timely warnings. Additionally, recent advancements in computer vision and artificial intel...

AI in dermatology: a comprehensive review into skin cancer detection.

PeerJ. Computer science
BACKGROUND: Artificial Intelligence (AI) is significantly transforming dermatology, particularly in early skin cancer detection and diagnosis. This technological advancement addresses a crucial public health issue by enhancing diagnostic accuracy, ef...

User-centric AI: evaluating the usability of generative AI applications through user reviews on app stores.

PeerJ. Computer science
This article presents a usability evaluation and comparison of generative AI applications through the analysis of user reviews from popular digital marketplaces, specifically Apple's App Store and Google Play. The study aims to bridge the research ga...

Research on line loss analysis and intelligent diagnosis of abnormal causes in distribution networks: artificial intelligence based method.

PeerJ. Computer science
The primary source of energy losses in distribution networks (DNs) is rooted in line losses, which is crucial to conduct a thorough and reasonable examination of any unusual sources of line losses to guarantee the power supply in a timely and safe ma...

Minimizing the total waste in the one-dimensional cutting stock problem with the African buffalo optimization algorithm.

PeerJ. Computer science
The one-dimensional cutting-stock problem (1D-CSP) consists of obtaining a set of items of different lengths from stocks of one or different lengths, where the minimization of waste is one of the main objectives to be achieved. This problem arises in...

Next-generation predictive maintenance: leveraging blockchain and dynamic deep learning in a domain-independent system.

PeerJ. Computer science
The fourth industrial revolution, often referred to as Industry 4.0, has revolutionized the manufacturing sector by integrating emerging technologies such as artificial intelligence (AI), machine and deep learning, Industrial Internet of Things (IIoT...

Integration of federated learning with IoT for smart cities applications, challenges, and solutions.

PeerJ. Computer science
In the past few years, privacy concerns have grown, making the financial models of businesses more vulnerable to attack. In many cases, it is hard to emphasize the importance of monitoring things in real-time with data from Internet of Things (IoT) d...

Automatic classification of kidney CT images with relief based novel hybrid deep model.

PeerJ. Computer science
One of the most crucial organs in the human body is the kidney. Usually, the patient does not realize the serious problems that arise in the kidneys in the early stages of the disease. Many kidney diseases can be detected and diagnosed by specialists...

Adaptive tourism forecasting using hybrid artificial intelligence model: a case study of Xi'an international tourist arrivals.

PeerJ. Computer science
Accurate forecasting of tourist demand is important to both business practitioners and government policymakers. In the past decade of rapid development of deep learning, many artificial intelligence methods or deep learning models have been built to ...