Introduction of Materials Genome Technology and Its Applications in the Field of Biomedical Materials
Traditional research and development (R&D) on biomedical materials depends heavily on
the trial and error process, thereby leading to huge economic and time burden. Most …
the trial and error process, thereby leading to huge economic and time burden. Most …
An ensemble algorithm using quantum evolutionary optimization of weighted type-II fuzzy system and staged Pegasos Quantum Support Vector Classifier with multi …
S Chatterjee, A Das - Soft Computing, 2023 - Springer
Breast cancer is a life-threatening and consequential disease due to its invasive and
proliferative trait, predominantly found in women. Early detection of the cancer is a …
proliferative trait, predominantly found in women. Early detection of the cancer is a …
Detection of ring cell cancer in histopathological images with region of interest determined by SLIC superpixels method
Gastric cancer is the sixth most common cancer and the fourth leading cause of cancer
deaths worldwide. Gastric cancer presents with a more insidious onset and is most …
deaths worldwide. Gastric cancer presents with a more insidious onset and is most …
An ensemble algorithm integrating consensus-clustering with feature weighting based ranking and probabilistic fuzzy logic-multilayer perceptron classifier for …
S Chatterjee, A Das - Applied Intelligence, 2023 - Springer
Breast cancer is a major threat, predominantly affecting the female population. Staging of
cancer enables early detection and prognosis of patients, leading to determination of …
cancer enables early detection and prognosis of patients, leading to determination of …
AFP-SRC: identification of antifreeze proteins using sparse representation classifier
Species living in the extreme cold environment fight against the harsh conditions using
antifreeze proteins (AFPs), which manipulate the freezing mechanism of water in more than …
antifreeze proteins (AFPs), which manipulate the freezing mechanism of water in more than …
Competitive Perceptrons: The Relevance of Modeling New Bioinspired Properties Such as Intrinsic Plasticity, Metaplasticity, and Lateral Inhibition of Rate-Coding …
D Andina - Biomimetics, 2023 - mdpi.com
This article supports the relevance of modeling new bioinspired properties in rate-coding
artificial neurons, focusing on fundamental neural properties rarely implemented thus far in …
artificial neurons, focusing on fundamental neural properties rarely implemented thus far in …
[HTML][HTML] Artificial Neural Networks for Classification Tasks: A Systematic Literature Review
EM Menéndez, JP Alava - Enfoque UTE, 2024 - redalyc.org
Artificial neural networks (ANNs) have become indispensable tools for solving classification
tasks across various domains. This systematic literature review explores the landscape of …
tasks across various domains. This systematic literature review explores the landscape of …
Breast Cancer Data Classification Using Cluster Based Ensemble Machine Learning
R Tasneem, BN Jyothi, K Anuhya… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Breast cancer (BC) is the most prevalent type of cancer among women throughout the world
and it is recorded as the second most life-threatening disease after lung cancer. Early …
and it is recorded as the second most life-threatening disease after lung cancer. Early …
[CITATION][C] Journal Information Title: Enfoque UTE Copyright: 2024, Enfoque UTE Abbreviated Title: Enfoque UTE Volume: 15
EM Menéndez, J Parraga-Alava - 2024