Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Venkatraman, Shravan"'
Autor:
V, Pandiyaraju, Malarvannan, Santhosh, Venkatraman, Shravan, A, Abeshek, B, Priyadarshini, A, Kannan
Diabetic retinopathy is a leading cause of blindness around the world and demands precise AI-based diagnostic tools. Traditional loss functions in multi-class classification, such as Categorical Cross-Entropy (CCE), are very common but break down wit
Externí odkaz:
http://arxiv.org/abs/2411.10843
SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers
Image classification is a computer vision task where a model analyzes an image to categorize it into a specific label. Vision Transformers (ViT) improve this task by leveraging self-attention to capture complex patterns and long range relationships b
Externí odkaz:
http://arxiv.org/abs/2411.09420
Autor:
V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, A, Aravintakshan S, S, Pavan Kumar, S, Madhan
Tumors in the brain result from abnormal cell growth within the brain tissue, arising from various types of brain cells. When left undiagnosed, they lead to severe neurological deficits such as cognitive impairment, motor dysfunction, and sensory los
Externí odkaz:
http://arxiv.org/abs/2409.17273
Distributed Denial of Service (DDoS) attacks are a major concern in network security, as they overwhelm systems with excessive traffic, compromise sensitive data, and disrupt network services. Accurately detecting these attacks is crucial to protecti
Externí odkaz:
http://arxiv.org/abs/2409.00810
Brain tumors are abnormalities that can severely impact a patient's health, leading to life-threatening conditions such as cancer. These can result in various debilitating effects, including neurological issues, cognitive impairment, motor and sensor
Externí odkaz:
http://arxiv.org/abs/2409.00804
Autor:
R, Joe Dhanith P, Venkatraman, Shravan, Narendra, Modigari, Sharma, Vigya, Malarvannan, Santhosh, Gandomi, Amir H.
Understanding emotions is a fundamental aspect of human communication. Integrating audio and video signals offers a more comprehensive understanding of emotional states compared to traditional methods that rely on a single data source, such as speech
Externí odkaz:
http://arxiv.org/abs/2407.18552
Autor:
V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, S, Pavan Kumar, A, Aravintakshan S, M, Senthil Kumar A, A, Kannan
Farmers face various challenges when it comes to identifying diseases in rice leaves during their early stages of growth, which is a major reason for poor produce. Therefore, early and accurate disease identification is important in agriculture to av
Externí odkaz:
http://arxiv.org/abs/2407.11753
Autor:
V, Pandiyaraju, Venkatraman, Shravan, A, Abeshek, S, Pavan Kumar, A, Aravintakshan S, A, Kannan
Alzheimer's disease (AD) is the most common neurodegeneration, annually diagnosed in millions of patients. The present medicine scenario still finds challenges in the exact diagnosis and classification of AD through neuroimaging data. Traditional CNN
Externí odkaz:
http://arxiv.org/abs/2407.10921
Breast cancer is a leading cause of mortality worldwide, and demands the critical need for early and accurate diagnostic tools. Ultrasound imaging is a widely used modality for breast cancer screening, yet the precise segmentation and classification
Externí odkaz:
http://arxiv.org/abs/2407.02844
Autor:
Venkatraman, Shravan1 shravandhawan18@gmail.com, Ramasamy, Kesavan2
Publikováno v:
Journal of Young Pharmacists. Apr-Jun2024, Vol. 16 Issue 2, p139-144. 6p.
