Ensemble machine learning-based egg parasitism identification for endangered bird conservation
W Nhidi, N Ben Aoun, R Ejbali - International Conference on …, 2023 - Springer
The phenomenon of intraspecific nest parasitism is of a great interest to biologists because it
helps in the conservation of critically endangered birds like the Slender-billed Gull. Indeed …
helps in the conservation of critically endangered birds like the Slender-billed Gull. Indeed …
Detection and classification of breast cancer from microscopic biopsy images using modified neural network
L Vanitha, K Jayamani, N Sasirekha… - 2022 International …, 2022 - ieeexplore.ieee.org
Cancer is widely recognized as being among the most lethal illnesses currently affecting
humans. Cancer, which has life-threatening effects, has the opportunity of being eradicated …
humans. Cancer, which has life-threatening effects, has the opportunity of being eradicated …
PD-GATv2: positive difference second generation graph attention network based on multi-granularity in information systems to classification
Y Fu, X Liu, B Yu - Applied Intelligence, 2024 - Springer
Abstract The Graph Attention Network (GAT) is a widely recognized architecture in the field
of Graph Neural Networks (GNNs). It is considered the state-of-the-art approach for graph …
of Graph Neural Networks (GNNs). It is considered the state-of-the-art approach for graph …
AMter: An end‐to‐end model for transcriptional terminators prediction by extracting semantic feature automatically based on attention mechanism
H Zhang, J Li, F Hu, H Lin, J Ma - … and Computation: Practice …, 2024 - Wiley Online Library
The Terminator, a specific DNA sequence, provides the transcriptional termination signal to
RNA polymerase, making it a critical aspect of transcriptional regulation. This article …
RNA polymerase, making it a critical aspect of transcriptional regulation. This article …
A novel deep learning method for the identification and categorization of footpath defects based on thermography
L Vanitha, R Kavitha, M Panneerselvam… - … on Smart Electronics …, 2022 - ieeexplore.ieee.org
Automated detection represents one of the most important criteria for assessing the
condition of the roadway, and it represents a challenging problem for the creation of …
condition of the roadway, and it represents a challenging problem for the creation of …
An Improved Network Segmentation Performance in Lesion Segmentation based on Mask R-CNN
T Thivya, C Kalaivanan, N Juliet… - 2022 6th …, 2022 - ieeexplore.ieee.org
Computational intelligence has grown increasingly common in the analysis of healthcare
data in recent years. The deep learning algorithms, in instance, have such a number of …
data in recent years. The deep learning algorithms, in instance, have such a number of …
Prognosis the Risk of Early-Stage Diabetes Using Machine Learning Techniques
Diabetes is a prevalent health issue on a global scale, with an exceptionally high incidence
rate observed in Bangladesh. The condition is characterized by persistent hyperglycemia …
rate observed in Bangladesh. The condition is characterized by persistent hyperglycemia …
Machine Learning-Assisted Protein Structure Prediction: An AI Approach for Biochemical Insights
SR Mahendran, A Dogra, D Mendhe… - 2024 Ninth …, 2024 - ieeexplore.ieee.org
Recently, machine learning has changed the field of bioinformatics by making it possible to
identify and understand protein structures in ways that were not possible before. This paper …
identify and understand protein structures in ways that were not possible before. This paper …
Early-Stage Diabetes Risk Prediction Using Supervised Machine Learning Algorithms
Diabetes is a common health problem worldwide; it is especially pervasive in Bangladesh.
The condition manifests in a person when his blood sugar is consistently high. It also …
The condition manifests in a person when his blood sugar is consistently high. It also …
Machine Learning-Based Price Optimization for Dynamic Pricing on Online Retail
G Yamuna, DP Dhinakaran, C Vijai… - 2024 Ninth …, 2024 - ieeexplore.ieee.org
Machine learning is having a profound impact on the dynamic pricing environment in e-
commerce. This research digs into the use of dynamic pricing based on machine learning to …
commerce. This research digs into the use of dynamic pricing based on machine learning to …