[PDF][PDF] Comprehensive Analysis of CNN and YOLOv5 Object Detection Model to Classify Phytomedicine Tree's Leaf Disease

MA Islam, I Haque, M Rahaman, T Jahan, SJ Shohan… - 2022 - academia.edu
Phytomedicine is not only known to the poor people of East Bengal and West Bengal as a
medicine but also as a beacon of hope for survival in a diseased life. In this approach …

Chronic Kidney Disease Diagnosis Using Conditional Variational Generative Adversarial Networks and Squirrel Search Algorithm

BM Brinda, C Rajan - Information Technology and Control, 2023 - itc.ktu.lt
Globally, the prevalence of chronic kidney disease (CKD) is steadily increasing. Computer-
aided automated diagnostic (CAD) methods play a significant part in predicting CKD. Due to …

[PDF][PDF] Towards Convergence of IoT and Blockchain for Secure Supply Chain Transaction. Symmetry 2022, 14, 64

T Hasan, S Sabah, R Haque, A Daria… - s Note: MDPI stays …, 2022 - researchgate.net
Supply chain management (SCM) is essential for a company's faster, efficient, and effective
product life cycle. However, the current SCM systems are insufficient to provide product …

[PDF][PDF] Systematic Survey on Chronic Kidney Disease Prediction Using Different Machine Learning Techniques.

ML Tirumalasetty, RSR Vuppuloori, B Tata… - Revue d'Intelligence …, 2023 - researchgate.net
Chronic kidney disease (CKD), a condition characterized by gradual loss of kidney function,
poses a global health challenge, affecting a substantial population worldwide. Attributable to …

OH, USA

CA Enabling, SJA Majerus, M Abdelhady… - … in Medicine and …, 2024 - books.google.com
888 SJA Majerus et al. with spinal cord injury (SCI) are at increased risk for neurogenic
lower urinary tract dysfunction (NLUTD), which is caused by a disturbance in the …

TabNet to Identify Risks in Chronic Kidney Disease Using GAN's Synthetic Data

PK Rao, S Chatterjee - 2022 2nd International Conference on …, 2022 - ieeexplore.ieee.org
The objective of this study was to develop a system for chronic kidney disease (CKD) and to
identify relevant prognostic features using a clinical dataset. Accurate classification and …

Analytical Comparison for the Diagnosis of Chronic Kidney Disease Applying Intelligent ML-based Systems

P Durga, T Sudhakar - 2023 7th International Conference on …, 2023 - ieeexplore.ieee.org
Diseases like Chronic Kidney Disease (CKD) develop gradually over time and then stick
around for a very long time. At its most advanced stage, it is fatal, and the only treatment …

Performance Analysis of Machine Learning Algorithms in the Systematic Prediction of Chronic Kidney Disease on an Imbalanced Dataset

M Revathi, G Raghuraman, J Visumathi - Inventive Computation and …, 2023 - Springer
The applications of artificial intelligence in the field of medicine is growing rapidly. Huge
volume of patient related data is available and if this data is properly utilized, it will be helpful …

Deep Neural Network-Based Approach to Identify the Paddy Leaf Disease using ResNet50-V2

MA Islam, MM Rahman, AA Shohan… - … Algorithms and Soft …, 2023 - ieeexplore.ieee.org
South Asian countries especially Bangladesh, India, and Srilanka are very involved in paddy
cultivation. In Bangladesh and India, one of the key producing crops is paddy. Worldwide …

Detection of Chronic Kidney Diagnosis Using RNN Algorithm

K Thanmayi, K Suseela - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Chronical kidney diseases commonly known as chronic renal illness, is a kind of Kidney
disease is characterized by abnormal kidneys function or breakdown of renal function that …