Multiple electric energy consumption forecasting using a cluster-based strategy for transfer learning in smart building
Electric energy consumption forecasting is an interesting, challenging, and important issue
in energy management and equipment efficiency improvement. Existing approaches are …
in energy management and equipment efficiency improvement. Existing approaches are …
Advancements, trends and future prospects of lower limb prosthesis
Amputees with lower limb loss need special care during daily life activities to make the
movement natural as before amputation. No such work exists covering the main aspects …
movement natural as before amputation. No such work exists covering the main aspects …
Multi-objective optimization with majority voting ensemble of classifiers for prediction of HIV-1 protease cleavage site
HIV-1 protease cleavage site prediction of an amino acid sequence of Human Immune
Deficiency Virus (HIV-1) type 1 has been the subject of intense research for decades to …
Deficiency Virus (HIV-1) type 1 has been the subject of intense research for decades to …
Effectively predicting HIV-1 protease cleavage sites by using an ensemble learning approach
Background The site information of substrates that can be cleaved by human
immunodeficiency virus 1 proteases (HIV-1 PRs) is of great significance for designing …
immunodeficiency virus 1 proteases (HIV-1 PRs) is of great significance for designing …
Generative adversarial network-based augmentation with noval 2-step authentication for anti-coronavirus peptide prediction
A Kumar, D Singh - IEEE/ACM Transactions on Computational …, 2024 - ieeexplore.ieee.org
The virus poses a longstanding and enduring danger to various forms of life. Despite the
ongoing endeavors to combat viral diseases, there exists a necessity to explore and develop …
ongoing endeavors to combat viral diseases, there exists a necessity to explore and develop …
[HTML][HTML] Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease
Inadequate patient samples and costly annotated data generations result into the smaller
dataset in the biomedical domain. Due to which the predictions with a trained model that …
dataset in the biomedical domain. Due to which the predictions with a trained model that …
Multilevel characterization of unknown protein sequences using hierarchical long short term memory model
Multilevel characterization of the recently developed Unknown Protein Sequence (UPS) is
significant for the drug-designing, disease-diagnosis, and treatment plans. UPS can …
significant for the drug-designing, disease-diagnosis, and treatment plans. UPS can …
Compact class-conditional attribute category clustering: Amino acid grou** for enhanced HIV-1 protease cleavage classification
JA Sáez, JF Vera - IEEE/ACM Transactions on Computational …, 2024 - ieeexplore.ieee.org
Categorical attributes are common in many classification tasks, presenting certain
challenges as the number of categories grows. This situation can affect data handling …
challenges as the number of categories grows. This situation can affect data handling …
Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites
Due to the unavailability of adequate patients and expensive labeling cost, many real-world
biomedical cases have scarcity in the annotated data. This holds very true for HIV-1 …
biomedical cases have scarcity in the annotated data. This holds very true for HIV-1 …
Compact class-conditional attribute category clustering: Amino acid grou** for enhanced HIV-1 protease cleavage classification
JA Sáez Muñoz, JF Vera Vera - 2024 - digibug.ugr.es
Categorical attributes are common in many classification tasks, presenting certain
challenges as the number of categories grows. This situation can affect data handling …
challenges as the number of categories grows. This situation can affect data handling …