[HTML][HTML] M-Net: An encoder-decoder architecture for medical image analysis using ensemble learning
Only a few of the many subfields of biomedical science study include biomedical engineering,
biomedical signal processing, gene analysis, and biomedical image processing. For the …
biomedical signal processing, gene analysis, and biomedical image processing. For the …
Learning photography aesthetics with deep cnns
Automatic photo aesthetic assessment is a challenging artificial intelligence task. Existing
computational approaches have focused on modeling a single aesthetic score or a class (…
computational approaches have focused on modeling a single aesthetic score or a class (…
CirMNet: A Shape-based Hybrid Feature Extraction Technique using CNN and CMSMD for Alzheimer's MRI Classification
This research introduces a novel approach called Circular Mesh Network (CirMNet), a
shape-based hybrid feature extraction technique. It also proposes innovative Fractal Dimension (…
shape-based hybrid feature extraction technique. It also proposes innovative Fractal Dimension (…
Alzheimer's disease classification from cross-sectional brain MRI using deep learning
S Sreelakshmi, G Malu - 2022 IEEE International Conference …, 2022 - ieeexplore.ieee.org
Alzheimer’s disease (AD) comes under the category of neurodegenerative disorder that is
incurable. Early diagnosis of AD with proper treatment can help to prevent brain tissue …
incurable. Early diagnosis of AD with proper treatment can help to prevent brain tissue …
Probing the impact of group 7 transition metals (TM: Mn, Tc, Re) encapsulated Ge-doped graphitic carbon nitrides (TM_Ge@ g-C3N4) nanostructure as sensors for …
DG Malu, AI Nta, II Oyosukhu, TE Gber… - Nano-Structures & Nano …, 2024 - Elsevier
The prevalence and detrimental effect of insecticides on the environment and human health
highlights the necessity for developing effective sensing and adsorbing materials. Among …
highlights the necessity for developing effective sensing and adsorbing materials. Among …
Gamnet: a deep learning approach for precise gesture identification
V Amrutha Raj, G Malu - Journal of Intelligent & Fuzzy …, 2024 - journals.sagepub.com
Deep learning has gained popularity across several industries, including object recognition
and classification. In the case of Convolutional Neural Networks (CNN), the first layers …
and classification. In the case of Convolutional Neural Networks (CNN), the first layers …
Circular mesh-based shape and margin descriptor for object detection
G Malu, S Elizabeth, SM Koshy - Pattern Recognition, 2018 - Elsevier
In many engineering and medical imaging fields, shape, and margin descriptors play an
important role in challenging pattern recognition and classification problems. This paper …
important role in challenging pattern recognition and classification problems. This paper …
A Novel deep learning approach for the automated diagnosis of normal pressure hydrocephalus
Normal Pressure Hydrocephalus (NPH), an Atypical Parkinsonian syndrome, is a neurological
syndrome that mainly affects elderly people. This syndrome shows the symptoms of …
syndrome that mainly affects elderly people. This syndrome shows the symptoms of …
Chalcogenides encapsulated Pt-doped carbon quantum dot (Pt@ CQD) as a carrier for the controlled release of lapachone: outlook from theoretical calculations
GA Okon, DG Malu, HY Abdullah, CR Nwokoye… - Diamond and Related …, 2024 - Elsevier
While cancer remains a significant health concern for humans, and is a serious and life-threatening
disease, this research introduces an innovative drug delivery strategy employing …
disease, this research introduces an innovative drug delivery strategy employing …
[BOOK][B] Joseph-Albert Malula: liberté et indocilité d'un cardinal africain
RK Malu - 2014 - books.google.com
… Si Rodhain Kasuba Malu a défendu sa thèse avec brio, il a su la remanier habilement
pour rendre la lecture agréable, captivante, nous faisant découvrir «<< une extraordinaire …
pour rendre la lecture agréable, captivante, nous faisant découvrir «<< une extraordinaire …