Comprehensive strategies of machine-learning-based quantitative structure-activity relationship models

J Mao, J Akhtar, X Zhang, L Sun, S Guan, X Li, G Chen… - Iscience, 2021 - cell.com
Early quantitative structure-activity relationship (QSAR) technologies have unsatisfactory
versatility and accuracy in fields such as drug discovery because they are based on …

Cellular automata imbedded memristor-based recirculated logic in-memory computing

Y Liu, H Tian, F Wu, A Liu, Y Li, H Sun, M Lanza… - Nature …, 2023 - nature.com
Memristor-based circuits offer low hardware costs and in-memory computing, but full-
memristive circuit integration for different algorithm remains limited. Cellular automata (CA) …

[HTML][HTML] Memristors in cellular-automata-based computing: A review

RE Karamani, IA Fyrigos, V Ntinas, I Vourkas… - Electronics, 2023 - mdpi.com
The development of novel hardware computing systems and methods has been a topic of
increased interest for researchers worldwide. New materials, devices, and architectures are …

AI technology for remote clinical assessment and monitoring

G Zoppo, F Marrone, M Pittarello… - Journal of wound …, 2020 - magonlinelibrary.com
Objective: To report the clinical validation of an innovative, artificial intelligence (AI)-
powered, portable and non-invasive medical device called Wound Viewer. The AI medical …

A comparison of machine learning classifiers for smartphone-based gait analysis

R Altilio, A Rossetti, Q Fang, X Gu… - Medical & Biological …, 2021 - Springer
This paper proposes a reliable monitoring scheme that can assist medical specialists in
watching over the patient's condition. Although several technologies are traditionally used to …

Memristor-based cellular automata for natural language processing

IK Chatzipaschalis, TP Chatzinikolaou… - 2023 30th IEEE …, 2023 - ieeexplore.ieee.org
Towards achieving efficient computational approaches, the perspective of Cellular Automata
(CAs) appears to be highly potent, owing to its performance hidden in the parallel computing …

MemCA: All-memristor design for deterministic and probabilistic cellular automata hardware realization

V Ntinas, IA Fyrigos, RE Karamani, N Vasileiadis… - IEEE …, 2023 - ieeexplore.ieee.org
Inspired by the behavior of natural systems, Cellular Automata (CA) tackle the demanding
long-distance information transfer of conventional computers by the massive parallel …

Unconventional computing with memristive nanocircuits

E Tsipas, TP Chatzinikolaou… - IEEE …, 2022 - ieeexplore.ieee.org
Computing demands are growing rapidly as bigdata and artificial intelligence applications
become increasingly tasking. Bio-inspired and quantum-based techniques are proving to be …

Clinically validated classification of chronic wounds method with memristor-based cellular neural network

J Secco, E Spinazzola, M Pittarello, E Ricci… - Scientific Reports, 2024 - nature.com
Chronic wounds are a syndrome that affects around 4% of the world population due to
several pathologies. The COV-19 pandemic has enforced the need of develo** new …

Wave cellular automata for computing applications

TP Chatzinikolaou, IA Fyrigos, V Ntinas… - … on Circuits and …, 2022 - ieeexplore.ieee.org
There is a continuous urge for higher efficiency in conventional computing systems, driven
by an ever-growing demand for these systems' complexity to be able to match the one of …