Search Results - (( sequence optimization sensor algorithm ) OR ( using combination using algorithm ))
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1
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. …”
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2
Development of self-learning algorithm for autonomous system utilizing reinforcement learning and unsupervised weightless neural network / Yusman Yusof
Published 2019“…From the reviews, it is evident that autonomous system is set to handle finite number of encountered states using finite sequences of actions. In order to learn the optimized states-action policy the self-learning algorithm is developed using hybrid AI algorithm by combining unsupervised weightless neural network, which employs AUTOWiSARD and reinforcement learning algorithm, which employs Q-learning. …”
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3
Vector evaluated particle swarm optimization approach to solve assembly sequence planning problem
Published 2022“…Ref. [6] used (SA) approach, which is based on searching via all the feasible sequences. …”
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4
Direct Adaptive Predictive Control For Wastewater Treatment Plant
Published 2012“…The adaptive control structure is based on the linear model of the process and combined with numerical algorithm for subspace state space system identification (N4SID). …”
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5
Global Algorithms for Nonlinear Discrete Optimization and Discrete-Valued Optimal Control Problems
Published 2009“…The transformation results in an equivalent mixed discrete optimization problem. The transformed problemis then decomposed into a bi-level optimization problem, which is solved using a combination of an efficient discrete filled function method identified earlier and a computational optimal control technique based on the concept of control parameterization. …”
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6
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. …”
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7
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. …”
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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. …”
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9
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. …”
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Improving Classification of Remotely Sensed Data Using Best Band Selection Index and Cluster Labelling Algorithms
Published 2005“…In cluster generating process, the developed BBSI algorithm was used to select the best band combination for generating cluster by using Iterative self- Organizing Data Analysis (ISODATA) technique. …”
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12
To study the performance of stemming algorithm on Malay words beginning with the letter "S" / Rohana Jantan
Published 2000“…This algorithm is used in the Malay language document that is used is the Quran translated document. …”
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13
An Experimental Study Of Combinational Logic Circuit Minimization Using Firefly Algorithm
Published 2014“…Combinatorial logic circuit minimization is usualy done using Karnaugh’s Map or Bolean equation. This paper presents an aplication of Firefly Algorithm to design combinational logic circuit in which the objective function is to minimize the total number of gates used. …”
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14
Study of stemming algorithm for Malay words which begin with alphabets 'M' / Mohd Zawawi Mohd Yunus
Published 2000“…These stemming algorithm problems will be solved by doing five experiments such as analysis the existing algorithm, do correction in the file, adding rules, correct the stemming algorithm and use two combination rules. …”
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15
JPEG Image Encryption Using Combined Reversed And Normal Direction-Distorted Dc Permutation With Key Scheduling Algorithm-Based Permutation
Published 2008“…The proposed approach uses a frequency domain combinational framework of coefficients scrambling with Key Scheduling Algorithm based (KSA-based) permutation. …”
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16
To improve stemming algorithm on Malay words begin with alphabet B / Norasiah Ismail
Published 2001“…This involves the use of two combinations simultaneously such as the pair combination of prefix-suffix-prefix suffix-infix as primary combinations and prefix suffix-suffix-prefix-infix as the secondary. …”
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17
The study of stemming algorithm for Malay words that start with the letter 'B' from translated Quran documents / Azriana Ahmad
Published 1999“…The performance of this Malay stemming algorithm is tested using translated Quran documents and Malay dictionary. …”
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18
Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage
Published 2010“…For this purpose, three models is developed, first using recursive least square algorithm (RLS), second using recursive instrument variable (RIV) algorithm and lastly using combination of this two algorithms. …”
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Ensemble dual recursive learning algorithms for identifying flow with leakage
Published 2010“…For this purpose, three models is developed, first using recursive least square algorithm (RLS), second using recursive instrument variable (RIV) algorithm and lastly using combination of this two algorithm. …”
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20
Shape-based recognition using combined Jaccard and Mahalanobis measurement / Noor Aznimah Abdul Aziz
Published 2013“…Therefore, we proposed a shape recognition algorithm using similarity measurement combining Jaccard and Mahalanobis distance is used to measure the similarity between geometry shape sketches. …”
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