Machine learning for detection and prediction of crop diseases and pests: A comprehensive survey
T Domingues, T Brandão, JC Ferreira - Agriculture, 2022 - mdpi.com
Considering the population growth rate of recent years, a doubling of the current worldwide
crop productivity is expected to be needed by 2050. Pests and diseases are a major …
crop productivity is expected to be needed by 2050. Pests and diseases are a major …
Machine learning-enabled optimization of extrusion-based 3D printing
Abstract Machine learning (ML) and three-dimensional (3D) printing are among the fastest-
growing branches of science. While ML can enable computers to independently learn from …
growing branches of science. While ML can enable computers to independently learn from …
Machine learning-assisted materials development and device management in batteries and supercapacitors: performance comparison and challenges
Machine learning (ML) has been the focus in recent studies aiming to improve battery and
supercapacitor technology. Its application in materials research has demonstrated promising …
supercapacitor technology. Its application in materials research has demonstrated promising …
Plant disease detection using web application by neural network
The fundamental necessity for each country is agricultural products. This affects agricultural
productivity in the country and its financial opportunities if plants are afflicted with illnesses …
productivity in the country and its financial opportunities if plants are afflicted with illnesses …
Web based brain tumor detection using neural network
The brain tumor is a major human life concern. One of the main causes of mortality in
individuals is brain tumors in recent years. It is tough to manually detect the tumor. Doctors …
individuals is brain tumors in recent years. It is tough to manually detect the tumor. Doctors …
Smart Drone Controller Framework—Toward an Internet of Drones
CS Veerappan, PKK Loh, RJ Chennattu - AI and IoT for Smart City …, 2022 - Springer
There has been an increasing trend to use multiple drones to cooperate autonomously
beyond visual line-of-sight missions such as remote services, digital governance and …
beyond visual line-of-sight missions such as remote services, digital governance and …
Traffic control system for smart city using image processing
V Bhardwaj, Y Rasamsetti, V Valsan - AI and IoT for Smart City applications, 2022 - Springer
Due to the quickly changing population with the economic development of the country, traffic
congestion has come out as a serious threat to society. Since the present traffic system is …
congestion has come out as a serious threat to society. Since the present traffic system is …
Cause Analysis and Accident Classification of Road Traffic Accidents Based on Complex Networks
Y Wang, H Zhai, X Cao, X Geng - Applied Sciences, 2023 - mdpi.com
The number of motor vehicles on the road is constantly increasing, leading to a rise in the
number of traffic accidents. Accurately identifying the factors contributing to these accidents …
number of traffic accidents. Accurately identifying the factors contributing to these accidents …
Field oriented control of permanent magnet synchronous motor (PMSM) driven electric vehicle and its performance analysis
R Gora, R Biswas, RK Garg… - 2021 IEEE 4th …, 2021 - ieeexplore.ieee.org
This research paper presents speed control of a Permanent Magnet Synchronous Motor
(PMSM) driven Electric Vehicle (EV) using the Field Oriented Control (FOC) technique for a …
(PMSM) driven Electric Vehicle (EV) using the Field Oriented Control (FOC) technique for a …