Results 191 to 200 of about 17,412 (237)
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2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), 2023
Groundwater quantity and quality are the necessities for sustaining human life and society. The Water Quality Index (WQI) is the generally utilized parameter to define water quality globally.
Soundharyaa Shri +2 more
semanticscholar +1 more source
Groundwater quantity and quality are the necessities for sustaining human life and society. The Water Quality Index (WQI) is the generally utilized parameter to define water quality globally.
Soundharyaa Shri +2 more
semanticscholar +1 more source
Solving Travelling Salesman Problem Using a Modified Grey Wolf Optimizer
2021Grey wolf optimizer (GWO) is a recent swarm intelligence metaheuristic that mimics the leadership hierarchy of grey wolves. GWO was originally developed to address continuous optimization problems however, various versions of GWO algorithms are available in the literature that have been successfully applied to a wide range of problems.
S. M. Boualem, B. Meftah, F. Debbat
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Enhancing Intrusion Detection System Performance Using a Modified Grey Wolf Optimizer
Annals of Emerging Technologies in ComputingCybersecurity is one of the main worries of organizations, businesses, and even individuals. The problems facing cybersecurity are increasing on daily basis as a result of the increased reliance on electronic services and technologies and the associated ...
Abdullah Al Mosuli +4 more
semanticscholar +1 more source
, 2020
This paper proposes an inverse model of the magnetorheological (MR) damper, based on a new Takagi-Sugeno-Kang (TSK) model to estimate the required voltage for producing the MR force.
B. F. Azar +3 more
semanticscholar +1 more source
This paper proposes an inverse model of the magnetorheological (MR) damper, based on a new Takagi-Sugeno-Kang (TSK) model to estimate the required voltage for producing the MR force.
B. F. Azar +3 more
semanticscholar +1 more source
Modified Grey Wolf Randomized Optimization in Dementia Classification Using MRI Images
IETE Journal of Research, 2020In this research work, a novel Modified Grey Wolf Randomized Optimization technique is used to classify the brain MRI images into two classes i.e. Non-Dementia or Dementia class.
N. Bharanidharan, R. Harikumar
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Informatica
The rapid deployment of IoT applications creates several challenges. To address these challenges, a new paradigm called Fog Computing extends Cloud Computing services to the network edge, which reduces latency, conserves energy, and saves bandwidth.
Raouf Belmahdi, D. Mechta, Saad Harous
semanticscholar +1 more source
The rapid deployment of IoT applications creates several challenges. To address these challenges, a new paradigm called Fog Computing extends Cloud Computing services to the network edge, which reduces latency, conserves energy, and saves bandwidth.
Raouf Belmahdi, D. Mechta, Saad Harous
semanticscholar +1 more source
Task Scheduling based on Modified Grey Wolf Optimizer in Cloud Computing Environment
Italian Conference on Theoretical Computer Science, 2019Task scheduling is considered as one of the most critical problems in cloud computing environment. The main target of task scheduling includes scheduling jobs on virtual machines as well as improves performance. This study employed Grey Wolf Optimization
Abdullah Alzaqebah +2 more
semanticscholar +1 more source
Intelligent visual object tracking with particle filter based on Modified Grey Wolf Optimizer
Optik (Stuttgart), 2019In a visual object tracking technology the particle filter (PF) is frequently used. The main drawback of the particle filter is that a large quantity of particles is required.
M. Narayana +3 more
semanticscholar +1 more source
Lifespan Enhancement of WSN for IoT - Modified Fuzzy Grey Wolf Optimizer (MFGWO) Approach
International Journal of Innovative Research in EngineeringWireless Sensor Networks (WSNs) are gaining prominence for diverse applications, including environmental monitoring and industrial automation. Yet, their energy constraint poses a significant challenge. Clustering, a prevalent technique, optimizes energy
B. Krishna Satish
semanticscholar +1 more source
Neural Computing and Applications, 2016
This paper presents a novel constrained optimization algorithm named MAL-IGWO, which integrates the benefit of the improved grey wolf optimization (IGWO) capability for discovering the global optimum with the modified augmented Lagrangian (MAL) multiplier method to handle constraints.
Wen Long +4 more
openaire +1 more source
This paper presents a novel constrained optimization algorithm named MAL-IGWO, which integrates the benefit of the improved grey wolf optimization (IGWO) capability for discovering the global optimum with the modified augmented Lagrangian (MAL) multiplier method to handle constraints.
Wen Long +4 more
openaire +1 more source