A review on opportunities for implementation of solar energy technologies in agricultural greenhouses
The greenhouse industry is an energy-intensive sector with a heavy reliance on fossil fuels,
contributing to substantial greenhouse gas (GHG) emissions. Addressing this issue, the …
contributing to substantial greenhouse gas (GHG) emissions. Addressing this issue, the …
Application of bio and nature-inspired algorithms in agricultural engineering
The article reviewed the four major Bioinspired intelligent algorithms for agricultural
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
applications, namely ecological, swarm-intelligence-based, ecology-based, and multi …
Recent advancements in technical design and thermal performance enhancement of solar greenhouse dryers
The food industry is responsible for supplying the food demand of the ever-increasing global
population. The food chain is one of the major contributors to greenhouse gas (GHG) …
population. The food chain is one of the major contributors to greenhouse gas (GHG) …
Hybrid optimization algorithm for security aware cluster head selection process to aid hierarchical routing in wireless sensor network
DL Reddy, CG Puttamadappa… - IET …, 2021 - Wiley Online Library
In wireless sensor networks, clustering is said to be the most noteworthy technique for
increasing the lifetime of network that directly leads a better routing mechanism. This …
increasing the lifetime of network that directly leads a better routing mechanism. This …
[HTML][HTML] Optimal container resource allocation in cloud architecture: A new hybrid model
KN Vhatkar, GP Bhole - Journal of King Saud University-Computer and …, 2022 - Elsevier
A huge variety of fields and industries depend upon cloud computing based microservice
due to its high-performance capability. Also, the merit of container usage is enormous; it …
due to its high-performance capability. Also, the merit of container usage is enormous; it …
Grey wolf optimization-based second order sliding mode control for inchworm robot
The flexible motion of the inchworm makes the locomotion mechanism as the prominent one
than other limbless animals. Recently, the application of engineering greatly assists the …
than other limbless animals. Recently, the application of engineering greatly assists the …
Analysis on dual algorithms for optimal cluster head selection in wireless sensor network
A Sarkar, TS Murugan - Evolutionary Intelligence, 2022 - Springer
Clustering is the approach, which is utilized for aggregating the nodes as a group called
clusters, which is used for reducing the routing overheads. This is a fundamental approach …
clusters, which is used for reducing the routing overheads. This is a fundamental approach …
Ensemble classification technique for heart disease prediction with meta-heuristic-enabled training system
PR Kumar, S Ravichandran… - Bio-Algorithms and Med …, 2021 - degruyter.com
Objectives This research work exclusively aims to develop a novel heart disease prediction
framework including three major phases, namely proposed feature extraction …
framework including three major phases, namely proposed feature extraction …
A robust grey wolf-based deep learning for brain tumour detection in MR images
In recent times, the detection of brain tumours has become more common. Generally, a brain
tumour is an abnormal mass of tissue where the cells grow uncontrollably and are …
tumour is an abnormal mass of tissue where the cells grow uncontrollably and are …
Neural network with adaptive evolutionary learning and cascaded support vector machine for fault localization and diagnosis in power distribution system
TC Srinivasa Rao, SS Tulasi Ram… - Evolutionary …, 2022 - Springer
Fault diagnosis and classification in electric power system is necessary to maintain a
protected operation of power system. The classification of this signal is complex due to the …
protected operation of power system. The classification of this signal is complex due to the …