Search Results - (( sequence optimization sensor algorithm ) OR ( evolution optimization matching algorithm ))
Search alternatives:
- evolution optimization »
- optimization matching »
- optimization sensor »
- sensor algorithm »
-
1
Comparison between Lamarckian Evolution and Baldwin Evolution of neural network
Published 2006“…We presented hybrid genetic algorithm for optimizing weights as well as the topology of artificial neural networks, by introducing the concepts of Lamarckian and Baldwin evolution effects. …”
Get full text
Get full text
Get full text
Article -
2
An energy efficient reinforcement learning based cooperative channel sensing for cognitive radio sensor networks
Published 2017“…Simulation results show convergence and adaptability of the algorithm to dynamic environment in achieving optimal solutions. …”
Get full text
Get full text
Get full text
Article -
3
A novel Master–Slave optimization algorithm for generating an optimal release policy in case of reservoir operation
Published 2019“…First, three different optimization algorithms, namely particle swarm optimization, differential evolution, and whale optimization algorithm, have been applied. …”
Get full text
Get full text
Article -
4
A reinforcement learning-based energy-efficient spectrum-aware clustering algorithm for cognitive radio wireless sensor network
Published 2016“…Simulation results show convergence, learning and adaptability of the RL based algorithms to dynamic environment toward achieving the optimal solutions. …”
Get full text
Get full text
Thesis -
5
A filtering algorithm for efficient retrieving of DNA sequence
Published 2009“…The biologists frequently demand for optimal comparison result so that the perfect structure of living beings evolution can be constructed. …”
Get full text
Get full text
Get full text
Article -
6
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…In the simulation the robot is equipped with thirteen distance sensing sensors. From the simulation result, by using these sensors information the AUTOWiSARD algorithm can successfully differentiate and classify states without supervision, while the Q-learning algorithm is able to produce and optimized states-actions policy. …”
Get full text
Get full text
Thesis -
7
Automated Student Timetable Scheduling System based on Genetic Algorithm
Published 2019“…Genetic algorithm works based on natural evolutions that comprises of several iterations. …”
Get full text
Get full text
Get full text
Article -
8
-
9
Analysing ratio-based controllers against motivational game theory in peer-to-peer renewable energy trading
Published 2024“…Yet, the transition from generation to utilization presents challenges, particularly in terms of tracking and matching energy supply with consumer demand. This inefficiency highlights the need for a sophisticated controller equipped with optimal algorithms. …”
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
10
Supervised deep learning algorithms for process fault detection and diagnosis under different temporal subsequence length of process data
Published 2025“…Current FDD technologies mostly rely on data-driven solutions by making full use of abundant process data collected by the state-of-the-art distributed process instruments and sensors. Deep learning algorithms were widely used among all the data-driven algorithms. …”
Get full text
Get full text
Get full text
Article -
11
Simulated Kalman Filter with modified measurement, substitution mutation and hamming distance calculation for solving traveling salesman problem
Published 2022“…There were also attempts to hybridize SKF with other famous algorithms such as Particle Swarm Optimization (PSO), Gravitational Search Algorithm (GSA), and Sine Cosine Algorithm (SCA) to improve its performance. …”
Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
12
Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems
Published 2009“…We then consider the task of determining near globally optimal solutions of discrete-valued optimal control problems. …”
Get full text
Get full text
Get full text
Thesis -
13
An Evolutionary Stream Clustering Technique for Outlier Detection
Published 2020“…Later, this algorithm will be extended to optimize the model in detecting outlier on data streams. …”
Get full text
Get full text
Conference or Workshop Item -
14
-
15
Direct Adaptive Predictive Control For Wastewater Treatment Plant
Published 2012“…This N4SID plays the role of the software sensor for on-line estimation of prediction matrices and control matrices of the bioprocess, joint together with model predictive control (MPC) in order to obtain the optimal control sequence. …”
Get full text
Get full text
Conference or Workshop Item -
16
Clarity-optimized wavelet with autoencoder-ReliefF ranking for enhanced UHF PD signal feature extraction
Published 2025“…This article investigates advanced signal processing methodologies, with a focus on wavelet-based techniques, for the analysis of time-domain partial discharge (PD) signals captured using ultra-high frequency (UHF) sensors. The raw signals are systematically processed through a sequence of operations including bandpass filtering, wavelet-based denoising, DC offset removal, and pulse extraction. …”
Get full text
Get full text
Get full text
Article