A review on monitoring and advanced control strategies for precision irrigation
The demand for freshwater is on the increase due to the rapid growth in the world's
population while the effect of global warming and climate change cause severe threat to …
population while the effect of global warming and climate change cause severe threat to …
An overview of smart irrigation management for improving water productivity under climate change in drylands
Global drylands, covering about 41% of Earth's surface and inhabited by 38% of the world's
population, are facing the stark challenges of water scarcity, low water productivity, and food …
population, are facing the stark challenges of water scarcity, low water productivity, and food …
Particle swarm optimized federated learning for industrial IoT and smart city services
Most of the research on Federated Learning (FL) has focused on analyzing global
optimization, privacy, and communication, with limited attention focusing on analyzing the …
optimization, privacy, and communication, with limited attention focusing on analyzing the …
[HTML][HTML] Model based predictive control strategy for water saving drip irrigation
Traditional irrigation control systems is characterized with inefficient management of water
and often results in low water productivity index and reduced cultivation yield. In addition …
and often results in low water productivity index and reduced cultivation yield. In addition …
The performance of PSO-SVM in inflation forecasting
Y Tang, J Zhou - 2015 12th international conference on service …, 2015 - ieeexplore.ieee.org
Analyzing inflation forecast problem, this paper proposes a SVM-based approach. Firstly,
the paper reviews some former studies about inflation forecasting and predicting …
the paper reviews some former studies about inflation forecasting and predicting …
Feature extraction and feature selection for emotion recognition using facial expression
D Choudhary, J Shukla - 2020 IEEE sixth international …, 2020 - ieeexplore.ieee.org
Facial expressions play a significant role in describing the emotions of a person. Due to its
applicability to a wide range of applications, such as human-computer interaction, driver …
applicability to a wide range of applications, such as human-computer interaction, driver …
Neural network based wrist vein identification using ordinary camera
Biometric access control systems find wide usage area nowadays and sensors cost pretty
high. Wrist vein patterns are completely unique and visible through the skin therefore they …
high. Wrist vein patterns are completely unique and visible through the skin therefore they …
Optimized artificial neural network for biosignals classification using genetic algorithm
AAM Lima, FKH de Barros, VH Yoshizumi… - Journal of Control …, 2019 - Springer
The artificial neural networks (ANNs) are increasingly being used to solve the problem of
pattern recognition, but it is an arduous task for their designer to obtain the optimal topology …
pattern recognition, but it is an arduous task for their designer to obtain the optimal topology …
Diagnosis of Parkinson's disease by using ANN
There has been an interest in signal processing, which can be defined as speech
processing. Nowadays, studies on health disease increase. Some diseases are …
processing. Nowadays, studies on health disease increase. Some diseases are …
Screening compounds for fast pyrolysis and catalytic biofuel upgrading using artificial neural networks
T Kessler, T Schwartz… - Internal …, 2019 - asmedigitalcollection.asme.org
There is significant interest among researchers in finding economically sustainable
alternatives to fossil-derived drop-in fuels and fuel additives. Fast pyrolysis, a method for …
alternatives to fossil-derived drop-in fuels and fuel additives. Fast pyrolysis, a method for …