An effective fuzzy based segmentation and twin attention based convolutional gated recurrent network for skin cancer detection

AK Rai, S Agarwal, S Gupta, G Agarwal - Multimedia Tools and …, 2024 - Springer
Skin cancer is one of the most deadly types of cancer that makes people less aware of the
signs and symptoms. The skin cells are destroyed in people affected by skin cancer, a …

Runtime Resource Management with Multiple-Step-Ahead Workload Prediction

M Niknafs, P Eles, Z Peng - ACM Transactions on Embedded Computing …, 2023 - dl.acm.org
Modern embedded platforms need sophisticated resource managers to utilize their
heterogeneous computational resources efficiently. Furthermore, such platforms are subject …

Deep Learning Techniques for Alzheimer's Disease Prediction

T Mahesh, A Agarwal, AV Nair - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Deep learning, a cutting-edge approach of machine learning, surpasses classical machine
learning when it comes to detecting particular structures in complicated, high-dimensional …

Improving Deep Learning for Brain Localization

KOM Aarif, N Borah, A Mishra - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
When utilizing advanced medical imaging techniques like high-resolution magnetic
resonance imaging (MRI), the measurement of critical parameters such as total cranial …

AI Approaches for Geopolymer Composite Strengths Calculation

USU Sharma, I Alam, S Ganguly - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Geopolymers have come to light as a potential alternative to conventional cement in order to
address issues related to cement production and consumption. They do this by employing …

AI for Agro-Business in the Identification of Rice Diseases

S Parveen, S Ganguly - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Rice's quality and resistance to disease are crucial for agribusiness. Crop production must
be increased using effective practises and tactics. The introduction of sophisticated artificial …

A Technical Analysis of Hybrid Combination of AI, 5G, and ML for Various Application

S Sood - 2024 IEEE International Conference on Computing …, 2024 - ieeexplore.ieee.org
5G networks are already being implemented worldwide, marking a significant milestone in
the history of wireless communication as the standardization process nears completion …

Effective Method for Cancer Diagnosis Employing Deep Learning Algorithms

N Borah, T Agrawal, KS Ali - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Leading sources of death and morbidity, lung and colon cancers sometimes develop
simultaneously and pose serious risks to people's health. Early discovery is essential for …

Analysing Barriers in Employing Drone Operations

NK Rajendran, T Agrawal… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Companies in the logistics industry are always looking for new ways to improve
responsiveness and productivity. The use of drones in logistics operations is one such …

Mathematical Evaluation of Medical Image Computing by Application of Mathematical Computer-Aided Interventions to Soft Tissues

DD Chinoy, R Mavi, AK Shrivastav… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Mini-invasive digestive surgery was seemingly one of the main disciplines where soft tissues
were handled utilizing test systems, anatomical structure tracking, and specialized …