Exploring diabetes through the lens of AI and computer vision: Methods and future prospects
Early diagnosis and timely initiation of treatment plans for diabetes are crucial for ensuring
individuals' well-being. Emerging technologies like artificial intelligence (AI) and computer …
individuals' well-being. Emerging technologies like artificial intelligence (AI) and computer …
[HTML][HTML] Classification of English Words into Grammatical Notations Using Deep Learning Technique
The impact of artificial intelligence (AI) on English language learning has become the center
of attention in the past few decades. This study, with its potential to transform English …
of attention in the past few decades. This study, with its potential to transform English …
A Comprehensive Review of Food Recommendation Systems in the Context of Nutritional Therapy for Diabetes Mellitus
N Prabakaran, N Rajan, S Chagalasetty… - Current Nutrition & …, 2025 - benthamdirect.com
Food recommendation systems (FRS) have gained prominence for providing personalized
dietary recommendations. This paper explores the integration of FRS and nutritional therapy …
dietary recommendations. This paper explores the integration of FRS and nutritional therapy …
Enhancing patent text classification with Bi-LSTM technique and alpine skiing optimization for improved diagnostic accuracy
J Wang, L Wang, N Ji, Q Ding, F Zhang, Y Long… - Multimedia Tools and …, 2024 - Springer
Currently, technological innovation has been increasingly valued by companies around the
world, and patents as an important recording medium of innovation show a tendency for …
world, and patents as an important recording medium of innovation show a tendency for …
ML assisted enhanced recommendation system for reliable volunteering environment
N Prabakaran, K Meenakshi, J Kumarnath… - Procedia Computer …, 2024 - Elsevier
The coronavirus pandemic has negatively impacted everyone around the globe. The need
to follow social distancing has increased the demand for technology that makes remote …
to follow social distancing has increased the demand for technology that makes remote …
Implementation of Neural Machine Transliteration from Komering Language to Indonesian Language Using Recurrent Neural Network (RNN) Model
Language is an important tool for communicating and understanding expressed ideas.
However, there are many different regional languages in the world, making translation tools …
However, there are many different regional languages in the world, making translation tools …
Enhancing the Efficiency of Deep Learning Models for Handwritten Text Recognition by Utilizing Meta-learning Optimization Techniques
R Paudyal, D Pyakurel - Journal of Advanced College of Engineering …, 2024 - nepjol.info
Recognizing handwritten text plays a crucial role in converting scanned documents, whether
printed or handwritten, into editable and searchable formats. In this study, various models …
printed or handwritten, into editable and searchable formats. In this study, various models …