DBP-DeepCNN: prediction of DNA-binding proteins using wavelet-based denoising and deep learning

F Ali, H Kumar, S Patil, A Ahmed, A Banjar… - … and Intelligent Laboratory …, 2022 - Elsevier
DNA-binding proteins (DBPs) are highly concerned with several types of cancers (lung,
breast, and liver), other fatal diseases (AIDS/HIV, asthma), and are used in the designing of …

A computationally efficient moving object detection technique using tensor QR decomposition based TRPCA framework

N Sabat, S Raj, SN George, SK TK - Journal of Visual Communication and …, 2023 - Elsevier
Advancements in high-quality video cameras and the consequent capture of minute details
of the scene have led the field of computer vision to remarkable heights. This paper …

Compatible multi-model output fusion for complex systems modeling via set operation-based focus data identification

C Yu, L Chang, X Xu, Y Cao, Z Zhang - Journal of Computational Science, 2024 - Elsevier
Is an inferior model completely useless in complex systems modeling? This study proposes
a novel multi-model output fusion approach that makes the best of the outputs from multi …

[PDF][PDF] AI-Driven Learning Management Systems: Modern Developments, Challenges and Future Trends during the Age of ChatGPT.

S Qazi, MB Kadri, M Naveed… - … Materials & Continua, 2024 - cdn.techscience.cn
ABSTRACT COVID-19 pandemic restrictions limited all social activities to curtail the spread
of the virus. The foremost and most prime sector among those affected were schools …

Hierarchical Classifier for Improved Human Activity Recognition using Wearable Sensors

H Nematallah, S Rajan - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Hierarchical classification (HC) is a multiclass classification approach that is effective in
solving complex classification problems. However, HC in Human Activity Recognition (HAR) …

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation

MH Shakil - 2022 - dspace.bracu.ac.bd
Data innovation has moved quickly in recent years, and various unfavorable alter ations
have been made to the network medium. Social media platforms like Face book, Twitter, and …

Drowsy driving monitorization using statistical and machine learning techniques

ARO Antunes - 2024 - repositorium.sdum.uminho.pt
Sleep is crucial to people's health and well-being, that is essential for cognitive function,
emotional regulation, and physical health. Therefore, the quality of sleep directly influences …

Gait Recognition Using Activities of Daily Livings and Ensemble Learning Models

S Singh, NA Choudhury, B Soni - … Conference on Advances in IoT and …, 2023 - Springer
Gait, a biological trait, is extremely valuable for identifying personnel. Identifying gait is a
complex process as it needs a combination of sensor data and efficient learning algorithms …

Diverse Adaboost Through Heterogenous Component Classifiers

C Jian, Y Ao, W Yang - 2022 International Joint Conference on …, 2022 - ieeexplore.ieee.org
Homogenous component classifiers in the Adaboost algorithm decrease the diversity among
component classifiers, which degrades ensemble performance for classification. Aiming to …

Aging Condition Evaluation of Oil Paper Insulation Based on Adaboost Algorithm

Y Ke, M Li, H Zhuang - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Aging is a critical element influencing the insulation Characteristics of transformers, and is a
key link to maintain the balanced work of the power system. To more accurately and …