Rice Leaf blight Disease detection using multi-classification deep learning model

R Sharma, V Kukreja, RK Kaushal… - … on reliability, Infocom …, 2022 - ieeexplore.ieee.org
One of the main crops in agricultural fields is considered to be rice, which is produced and
used extensively over the world. Due to this very reason, there is always a high risk of rice …

Deep learning: an application perspective

Sakshi, P Das, S Jain, C Sharma, V Kukreja - Cyber Intelligence and …, 2022 - Springer
Nowadays, machine learning and deep learning have proven to be an encouraging field
after artificial intelligence. Deep learning being operative, supervised, time and cost-effective …

IoT-inspired smart healthcare service for diagnosing remote patients with diabetes

H Naz, R Sharma, N Sharma… - Machine learning for edge …, 2022 - taylorfrancis.com
The IoT cloud-based infrastructure has some drawbacks with latency, delays, availability,
distribution, and more. To avoid these kinds of issues, Fog Computing (FC) integrates as a …

Automatic Prediction of Glycemic Index Category from Food Images Using Machine Learning Approaches

MI Khan, B Acharya, RK Chaurasiya - Arabian Journal for Science and …, 2022 - Springer
The dietary glycemic index (GI) is a mechanism, whereby carbohydrate-containing foods are
assigned a number according to how much each food raises blood sugar. It plays a very …

Generative data augmentation for automatic meter reading using CNNs

N Sripanuskul, P Buayai, X Mao - IEEE Access, 2022 - ieeexplore.ieee.org
While smart meters are still not widely installed in many countries, automatic reading of
traditional-type meters is useful from the perspective of both cost and safety. Although …

A Systematic Literature Review of Law Enforcement Image Recognition Methods based on Generative Adversarial Networks Framework

ZC Weng, FC Tsai - Procedia Computer Science, 2022 - Elsevier
Image recognition research based on the Generative Adversarial Networks (GAN) has been
widely used in various specialized technical fields because of its universality, adaptability …

Measuring the Effect of Data Augmentation Methods for Improving the Success of Convolutional Neural Network

K Uçar, HE Kocer - Gazi Mühendislik Bilimleri Dergisi, 2022 - dergipark.org.tr
With the intensive work done, deep learning finds many use areas. However, obtaining a
sufficient amount of data required by deep learning is not always an easy task. To overcome …

Recognition of Hand Movements for Specially Abled

A Upmanyu, A Singh, S Sharma… - 2022 10th International …, 2022 - ieeexplore.ieee.org
The ability to recognize gestures allows a user to employ fluid gestures to deliver or transmit
communication, information, facts, emotions, and sentiments. For those who do not grasp the …

Smart detection system of vehicles license plate by using segmentation and enhancement image technique

OJK Kamil - 2022 - openaccess.altinbas.edu.tr
Nowadays the image recognition technique is became more popular and interest due to its
facility in utilize feature detection in addition to that, the detection is most significantly …

Detecting Musical Rhetoric Figures with LSTM using Procedurally Generated Synthetic Data

N Gier - 2022 - studenttheses.uu.nl
Musicologists have researched rhetorical techniques applied to baroque music, which
includes the works of Johann Sebastian Bach. These musical rhetoric figures come in the …