Noninvasive electroencephalography equipment for assistive, adaptive, and rehabilitative brain–computer interfaces: a systematic literature review

N Jamil, AN Belkacem, S Ouhbi, A Lakas - Sensors, 2021 - mdpi.com
Humans interact with computers through various devices. Such interactions may not require
any physical movement, thus aiding people with severe motor disabilities in communicating …

Providing an Adaptive Routing along with a Hybrid Selection Strategy to Increase Efficiency in NoC‐Based Neuromorphic Systems

M Trik, S Pour Mozaffari… - Computational …, 2021 - Wiley Online Library
Effective and efficient routing is one of the most important parts of routing in NoC‐based
neuromorphic systems. In fact, this communication structure connects different units through …

Real-time system for driver fatigue detection based on a recurrent neuronal network

Y Ed-Doughmi, N Idrissi, Y Hbali - Journal of imaging, 2020 - mdpi.com
In recent years, the rise of car accident fatalities has grown significantly around the world.
Hence, road security has become a global concern and a challenging problem that needs to …

Machine learning methods for hypercholesterolemia long-term risk prediction

E Dritsas, M Trigka - Sensors, 2022 - mdpi.com
Cholesterol is a waxy substance found in blood lipids. Its role in the human body is helpful in
the process of producing new cells as long as it is at a healthy level. When cholesterol …

Recommender system for the efficient treatment of COVID-19 using a convolutional neural network model and image similarity

M Kuanr, P Mohapatra, S Mittal, M Maindarkar… - Diagnostics, 2022 - mdpi.com
Background: Hospitals face a significant problem meeting patients' medical needs during
epidemics, especially when the number of patients increases rapidly, as seen during the …

ReCuRandom: A hybrid machine learning model for significant gene identification

DSK Nayak, A Pati, A Panigrahi, S Sahoo… - AIP Conference …, 2023 - pubs.aip.org
The method of evaluating the physical traits of living creatures by generating essential
proteins is known as gene expression. Translation and transcription are the two processes …

Correlation Analysis of Gene and Radiomic Features in Colorectal Cancer Liver Metastases

X Wang, N Li, H Guo, X Yin… - … Mathematical Methods in …, 2022 - Wiley Online Library
Colorectal cancer liver metastasis (CRLM) was one of the cancers with high mortality.
Clinically, the target point was determined by invasive detection, which increased the …

Sentiment analysis-based social network rumor detection model with bi-directional graph convolutional networks

X Zhang, Y Pan, X Gu, G Liang - International Conference on …, 2023 - spiedigitallibrary.org
This paper proposes a model for social network rumor detection that combines sentiment
analysis and bi-directional graph convolutional networks (Bi-GCN) to deeply mine the …

Chatbot to map medical prognosis and symptoms using machine learning

H Aggarwal, S Kapur, V Bahuguna, P Nagrath… - Cyber Security and …, 2022 - Springer
Computer-aided system is a subject of great importance and extensive requirement.
Nowadays, deep learning and machine learning have gained quite a knack in people's eye …

Enhancing Underwater Imagery with AI/ML and IoT in ROV Technology

N Chaithra, J Jha, A Sayal, MS Priya, N Allagari… - Artificial Intelligence and …, 2024 - Springer
Remotely operated vehicles (ROVs) enable underwater exploration and research but face
imaging challenges from environmental conditions. This chapter examines how emerging …