Studies on the spectrometric analysis of metallic silver nanoparticles (Ag NPs) using Basella alba leaf for the antibacterial activities
M Mani, S Pavithra, K Mohanraj, S Kumaresan… - Environmental …, 2021 - Elsevier
In this present investigation, an aqueous Basella alba leaves extract was used to synthesize
AgNPs. The green synthesis approach is carried out in our work due to non-toxic, less cost …
AgNPs. The green synthesis approach is carried out in our work due to non-toxic, less cost …
A deep learning based expert framework for portfolio prediction and forecasting
Stock market forecasting involves predicting fluctuations and trends in the value of financial
assets, utilizing statistical and machine learning models to analyze historical market data for …
assets, utilizing statistical and machine learning models to analyze historical market data for …
Deep learning techniques for prediction and diagnosis of diabetes mellitus
Diabetes Mellitus (DM) is a serious chronic disease that affects billions of people worldwide.
8.5% of the population suffers from diabetes between the age range of18 to 70 years. In …
8.5% of the population suffers from diabetes between the age range of18 to 70 years. In …
Exploring the trend of recognizing apple leaf disease detection through machine learning: a comprehensive analysis using bibliometric techniques
This study's foremost objectives were to scrutinize how unexpected weather affects
agricultural output and to assess how well AI-based machine learning and deep leaning …
agricultural output and to assess how well AI-based machine learning and deep leaning …
Intelligent process automation: The future of digital transformation
PS Kholiya, A Kapoor, M Rana… - 2021 10th International …, 2021 - ieeexplore.ieee.org
The technological evolution in the last decades has led us to the forefront of the digitization
of services at every stratum of the processes and businesses. As the technology is …
of services at every stratum of the processes and businesses. As the technology is …
Prediction of students' academic performance using Machine Learning Techniques
The prediction of students' academic performance is a subset of Educational Data Mining
(EDM) which deals with the large-scale data gathered from an education system. EDM aims …
(EDM) which deals with the large-scale data gathered from an education system. EDM aims …
Detection of android malware in the Internet of Things through the K-nearest neighbor algorithm
Predicting attacks in Android malware devices using machine learning for recommender
systems-based IoT can be a challenging task. However, it is possible to use various …
systems-based IoT can be a challenging task. However, it is possible to use various …
Advancements in healthcare services using deep learning techniques
Deep learning (DL) is the technique encouraging clinical staff and physicians to work on a
variety of data using DL algorithms. DL techniques have given a rise in the medical facilities …
variety of data using DL algorithms. DL techniques have given a rise in the medical facilities …
A survey on techniques used in medical imaging processing
P Chatterjee, DS Rani - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Automated diagnosis of diseases in the recent years have gain lots of advantages and
potential. Specially automated screening of cancers has helped the clinicians over the time …
potential. Specially automated screening of cancers has helped the clinicians over the time …
Multimodal hinglish tweet dataset for deep pragmatic analysis
Wars, conflicts, and peace efforts have become inherent characteristics of regions, and
understanding the prevailing sentiments related to these issues is crucial for finding long …
understanding the prevailing sentiments related to these issues is crucial for finding long …