[HTML][HTML] Face mask recognition system using CNN model
G Kaur, R Sinha, PK Tiwari, SK Yadav, P Pandey… - Neuroscience …, 2022 - Elsevier
COVID-19 epidemic has swiftly disrupted our day-to-day lives affecting the international
trade and movements. Wearing a face mask to protect one's face has become the new …
trade and movements. Wearing a face mask to protect one's face has become the new …
Recent advancement in postharvest loss mitigation and quality management of fruits and vegetables using machine learning frameworks
Agriculture is an important component of the concept of sustainable development. Given the
projected population growth, sustainable agriculture must accomplish food security while …
projected population growth, sustainable agriculture must accomplish food security while …
Intrusion detection using machine learning for risk mitigation in IoT‐enabled smart irrigation in smart farming
A Raghuvanshi, UK Singh, GS Sajja… - Journal of Food …, 2022 - Wiley Online Library
The majority of countries rely largely on agriculture for employment. Irrigation accounts for a
sizable amount of water use. Crop irrigation is an important step in crop yield prediction …
sizable amount of water use. Crop irrigation is an important step in crop yield prediction …
[Retracted] Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection
The aim of this study is to evaluate infected leaf disease images. Precision agriculture's
automatic leaf disease detection system employs image acquisition, image processing …
automatic leaf disease detection system employs image acquisition, image processing …
[Retracted] Implementing Machine Learning for Smart Farming to Forecast Farmers' Interest in Hiring Equipment
Farmers' physical labor and debt are reduced as a result of agricultural automation, which
emphasizes efficient and effective use of various machines in farming operations with the …
emphasizes efficient and effective use of various machines in farming operations with the …
Research on logistics management layout optimization and real-time application based on nonlinear programming
Y Zhang, X Kou, Z Song, Y Fan, M Usman… - Nonlinear …, 2021 - degruyter.com
To solve the problem of long logistics delivery time in supply chain, a Mixed Integer Non-
linear Program (MINLP) model is built by using Mixed Integer nonlinear programming …
linear Program (MINLP) model is built by using Mixed Integer nonlinear programming …
Impact of industrial 4.0 on environment along with correlation between economic growth and carbon emissions
L Jiang, SR Sakhare, M Kaur - International Journal of System Assurance …, 2021 - Springer
The German industry originates and uses the concept of industry 4.0 for the effective
production. In today's scenario, the technologies like the Internet of Things (IoT), cyber …
production. In today's scenario, the technologies like the Internet of Things (IoT), cyber …
Machine Learning‐and Feature Selection‐Enabled Framework for Accurate Crop Yield Prediction
Agriculture is crucial for the existence of humankind. Agriculture provides a significant
portion of the income for many people all around the world. Additionally, it provides a large …
portion of the income for many people all around the world. Additionally, it provides a large …
Study on fault identification of mechanical dynamic nonlinear transmission system
To solve the problems of large mechanical powertrain such as complex structure, serious
accident, strong nonlinear characteristics of running state, bad operating environment, non …
accident, strong nonlinear characteristics of running state, bad operating environment, non …
Numerical simulation of air distribution for monitoring the central air conditioning in large atrium
In the modern construction industry, there is a need for environment friendly energy efficient
buildings to support the idea of sustainability. This article investigates the numerical …
buildings to support the idea of sustainability. This article investigates the numerical …