Forecast the death and recovery rate of COVID 2019 using ARIMA and PROPHET models
S Sirikonda, SN Kumar, T Sravanthi… - AIP Conference …, 2022 - pubs.aip.org
Because of the worldwide ongoing situation triggered by the Coronavirus (COVID-19)
pandemic, millions of people lost their lives and the economic disturbances, globally billions …
pandemic, millions of people lost their lives and the economic disturbances, globally billions …
Automatic detection of tomato leaf contamination portion using deep neural network
S Sirikonda, SN Kumar, G Chandana… - AIP Conference …, 2022 - pubs.aip.org
India yields many varieties of crops. Among them tomato crop is the vital staple in Indian
market. Many farmers produce tomato crop cross India. Many types of diseases will affect the …
market. Many farmers produce tomato crop cross India. Many types of diseases will affect the …
[HTML][HTML] Jordanian banknote data recognition: A CNN-based approach with attention mechanism
Identifying counterfeit banknotes is crucial in financial transactions, as the process of
identification cannot be handled by ATMs or vending machines. The recent developments in …
identification cannot be handled by ATMs or vending machines. The recent developments in …
Classification of Rupiah to Help Blind with The Convolutional Neural Network Method
OE Pamungkas, P Rahmawati, DM Supriadi… - … (Rekayasa Sistem dan …, 2022 - jurnal.iaii.or.id
Currency is an item humans require as a medium of exchange in transactions, including
those with vision impairments. It can be challenging for certain blind people to identify …
those with vision impairments. It can be challenging for certain blind people to identify …
[PDF][PDF] Develo** a Model for Detection of Ethiopian Fake Banknote Using Deep Learning
Recently, analyzing multiple types of fake banknote recognition and detection is a key
concern in nance and business. Fake detection is an increasing methodological approach …
concern in nance and business. Fake detection is an increasing methodological approach …
Indian Currency Denomination Recognition and Fake Currency Identification
B Padmaja, PNS Bhargav, HG Sagar… - Journal of Physics …, 2021 - iopscience.iop.org
Visually impaired and senior citizens find it difficult to identify different banknotes, driving the
need for an automated system to recognize currency notes. This study proposes recognizing …
need for an automated system to recognize currency notes. This study proposes recognizing …
ENN: Hierarchical Image Classification Ensemble Neural Network for Large-Scale Automated Detection of Potential Design Infringement
CJ Lee, SH Jeong, Y Yoon - Applied Sciences, 2023 - mdpi.com
This paper presents a two-stage hierarchical neural network using image classification and
object detection algorithms as key building blocks for a system that automatically detects a …
object detection algorithms as key building blocks for a system that automatically detects a …
Web-application for detecting cyber bullying using machine learning approach
NK Sripada, S Sirikonda, A Areefa, G Leena… - AIP conference …, 2022 - pubs.aip.org
Social media is serving majorly in all ways but on the other side, it is being misused in
troubling the users by harassing, stalking, and blackmailing. From all among, the most …
troubling the users by harassing, stalking, and blackmailing. From all among, the most …
A two-stage deep learning framework for counterfeit luxury handbag detection in logo images
J Peng, B Zou, C Zhu - Signal, Image and Video Processing, 2023 - Springer
Counterfeit luxury handbags are a worldwide problem that imposes a huge burden on
society and the economy. The logo of a luxury handbag is a good identification point …
society and the economy. The logo of a luxury handbag is a good identification point …
Hybrid attention network with appraiser-guided loss for counterfeit luxury handbag detection
J Peng, B Zou, X He, C Zhu - Complex & Intelligent Systems, 2022 - Springer
Recently, convolutional neural networks have shown good performance in many counterfeit
detection tasks. However, accurate counterfeit detection is still challenging due to the …
detection tasks. However, accurate counterfeit detection is still challenging due to the …