An automatic brain tumors detection and classification using deep convolutional neural network with VGG-19

AR Venmathi, S David, E Govinda… - … on Advancements in …, 2023 - ieeexplore.ieee.org
Early detection of brain tumours (BT) is essential for increasing patient survival and
potential. Magnetic resonance imaging (MRI) of BTs was physically studied in this research …

Mitigating DDoS Attacks using SDN-based Network Security Measures

SEVS Pillai, K Polimetla - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Distributed denial-of-service attacks represent a significant threat to the delivery and integrity
of network services. The attacks inundate a specific community or tool with excessive …

Intracardiac mass detection and classification using double convolutional neural network classifier

MP Bala - Journal of Engineering Research, 2023 - kuwaitjournals.org
Background: Identification and classification of intracardiac masses in echocardiogram is
one of the significant processes in the diagnosis of cardiovascular disease. There is some …

A decision science approach using hybrid EEG Feature Extraction and gan-based emotion classification

OI Khalaf, A SR, S Dhanasekaran… - Advances in Decision …, 2023 - ideas.repec.org
[Purpose] Emotions play an essential role in human life and they profoundly influence
behavior, decision-making, and well-being. This approach aims to classify human emotions …

Enhanced melanoma detection using a fuzzy ensemble approach integrating hybrid optimization algorithm

SV Priyan, K Rajalakshmi, JP Inbakumar… - … Signal Processing and …, 2024 - Elsevier
The high death rate of melanoma makes it an important public health issue all over the
world. Therefore, early detection of melanoma is crucial for a good prognosis. Deriving …

Deep learning algorithm and self-powered tactile sensors for gesture recognition

S Hariprasath, M Ramkumar, DG Takale… - Self-Powered …, 2025 - Elsevier
Wearable sensors have gained more attention recently in motion-based healthcare and
artificial applications due to the rapid societal growth. For real-world applications, there are …

A Multimodal Face and Fingerprint Authentication System Using Fuzzy Set Exponential Water Wave Optimization

G Deol, PI Priyadarsini, VRG Nallagattla… - Journal of The Institution …, 2024 - Springer
Especially in the financial sector and law enforcement, biometric authentication technologies
are becoming crucial. Unimodal systems were utilised in the past for biometrics, but …

Neural harmony: revolutionizing thyroid nodule diagnosis with hybrid networks and genetic algorithms

HS Parveen, S Karthik, K MS - Computer Methods in Biomechanics …, 2024 - Taylor & Francis
In the contemporary world, thyroid disease poses a prevalent health issue, particularly
affecting women's well-being. Recognizing the significance of maternal thyroid (MT) …

Vision‐Based Image Classification and Image Segmentation Algorithms for Plant Disease Diagnostics

N Ashokkumar, A Manikandan… - Computer Vision in …, 2025 - Wiley Online Library
One of the main sources of income is agriculture. Many peasants in developing nations like
India find work in agriculture. Many crops are grown in India's agriculture, which provides a …

Uncovering the Experimental Secrets of a Novel Brain Tumor Identification Scheme with Elevated Learning and Image Classification Principles

M Gomathi, AA Ram, U Monesh… - 2024 10th …, 2024 - ieeexplore.ieee.org
Masses or clusters of aberrant cells can grow into brain tumours. They could cause
problems for the patient if they spread to other tissues. Brain tumours may be reliably …