Vision Transformer Based Effective Model for Early Detection and Classification of Lung Cancer
This study explores the worldwide effects of lung cancer and its early detection and
diagnosis. Artificial intelligence (AI)-based models are quite popular among researchers in …
diagnosis. Artificial intelligence (AI)-based models are quite popular among researchers in …
Csa-gru: a hybrid CNN and self attention GRU for human identification using ear biometrics
Biometric-based personal authentication systems have experienced significant demand,
primarily driven by growing concerns surrounding privacy and security in various …
primarily driven by growing concerns surrounding privacy and security in various …
Ensemble of transfer learning and light-weight convolutional neural network model for an effective ear recognition system
R Mehta, KK Singh - Evolving Systems, 2024 - Springer
The transfer learning and deep convolutional neural network-based recognition models
have been merged to develop an efficient model in the contemporary time. The ear …
have been merged to develop an efficient model in the contemporary time. The ear …
Ensemble-based hybrid transfer approach for an effective 2D ear recognition system
R Mehta, A Sheikh-Akbari, KK Singh - IEEE Access, 2024 - ieeexplore.ieee.org
Person identification using ear images has gained significant attention recently. Transfer
learning provides an effective platform for image classification, utilizing CNNs like AlexNet …
learning provides an effective platform for image classification, utilizing CNNs like AlexNet …
Adaptive genetic algorithm-optimized temporal convolutional networks for high-precision ship traffic flow prediction
Y LI, Q Wang - Evolving Systems, 2025 - Springer
Abstract Timely prediction of Ship Traffic Flow (STF) is essential for managing maritime traffic
and preventing congestion. However, existing deep neural network-based STF models often …
and preventing congestion. However, existing deep neural network-based STF models often …
An Efficient 3D Ear Recognition Method Using Point Set Registration Approach
R Mehta, G Ujjwal, A Kumar - SN Computer Science, 2024 - Springer
The paper presents 3D ear recognition which is based on the coherent point drift (CPD)
algorithm. It primarily does the tasks of rigid point set registration followed by EM …
algorithm. It primarily does the tasks of rigid point set registration followed by EM …
An efficient convolutional global gated recurrent-based adaptive gazelle algorithm for enhanced disease detection and classification
SP Maniraj, P Chillakuru, K Thangavel, A Kadam… - Evolving Systems, 2024 - Springer
In modern healthcare, medical image processing plays a vital role in enabling early disease
detection, treatment planning, and improved patient care. However, traditional methods face …
detection, treatment planning, and improved patient care. However, traditional methods face …
Finger Vein Authentication Using Vision Transformer
V Gurunathan, R Sudhakar… - 2024 International …, 2024 - ieeexplore.ieee.org
The exceptional performance of Vision Transformer (ViT) in many computer vision tasks has
attracted the attention of many computer vision researchers; ViT outperforms prior …
attracted the attention of many computer vision researchers; ViT outperforms prior …
Vision Transformer Based Automated Model for Enhancing Lung Cancer Classification
Lung cancer is one of the leading causes of cancer related mortality. The early detection and
classification of the cancers tissues will reduce the mortalities rate. The present research …
classification of the cancers tissues will reduce the mortalities rate. The present research …
Monitoring Student Attendance Through Vision Transformer-based Iris Recognition.
S Ennajar, W Bouarifi - International Journal of Advanced …, 2024 - search.ebscohost.com
In the context of the ongoing digital transformation, the effective monitoring of student
attendance holds paramount significance for educational establishments. This study …
attendance holds paramount significance for educational establishments. This study …