Deep learning framework-based chaotic hunger games search optimization algorithm for prediction of air quality index
H Macherla, G Kotapati, MT Sunitha… - … des Systemes d' …, 2023 - search.proquest.com
In many ways, our everyday lives depend on having access to reliable data about the state
of the air around us. If you can predict the air quality ahead of time, you can put in place the …
of the air around us. If you can predict the air quality ahead of time, you can put in place the …
[PDF][PDF] Prediction of chronic kidney disease with Machine Learning models and feature analysis using SHAP
Y Surekha, KR Kodepogu, GL Kumari… - Revue d'Intelligence …, 2023 - researchgate.net
Accepted: 5 April 2023 The world is significantly impacted by chronic kidney disease (CKD),
both in terms of the health and financial costs. CKD is becoming a bigger issue globally …
both in terms of the health and financial costs. CKD is becoming a bigger issue globally …
Weighted fuzzy C means and enhanced adaptive neuro-fuzzy inference based chronic kidney disease classification
M Lincy Jacquline, N Sudha - Journal of Fuzzy Extension and …, 2024 - journal-fea.com
Chronic nephritic sickness is another name for Chronic Kidney Disease (CKD). Numerous
complications, such as elevated blood levels, anemia, weak bones, and nerve damage …
complications, such as elevated blood levels, anemia, weak bones, and nerve damage …
Exploration of image and 3D data segmentation methods: an exhaustive survey
The field of image and 3-dimensional (3D) data segmentation is growing fast and has many
uses, like in medicine, and robotics. In this article, we explain how computers understand …
uses, like in medicine, and robotics. In this article, we explain how computers understand …
Advances in Brain Tumor Segmentation and Skull Stripping: A 3D Residual Attention UNet Approach.
The timely diagnosis of brain tumors plays a critical role in enhancing patient prognosis and
survival rates. Despite its superior accuracy, manual tumor segmentation is known to be a …
survival rates. Despite its superior accuracy, manual tumor segmentation is known to be a …
N-gram Language Model for Chinese Function-word-centered Patterns
J Song, Y Liu, Y Qu - Journal of computing and information technology, 2023 - hrcak.srce.hr
Sažetak N-gram language modelling, a proven and effective method in NLP, is widely used
to calculate the probability of a sentence in natural language. Language pattern is a …
to calculate the probability of a sentence in natural language. Language pattern is a …