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1
Distance vector-hop range-free location algorithm for wireless sensor network
Published 2015“…Distance Vector-Hop (DV-Hop) algorithm has become the focus of studies for range-free localization algorithms. …”
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Thesis -
2
Improved whale optimization algorithm for feature selection in Arabic sentiment analysis
Published 2019“…In SA, feature selection phase is an important phase for machine learning classifiers specifically when the datasets used in training is huge. Whale Optimization Algorithm (WOA) is one of the recent metaheuristic optimization algorithm that mimics the whale hunting mechanism. …”
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3
Mobile robot path optimization algorithm using vector calculus and mapping of 2 dimensional space
Published 2015“…This research explores path integration in mobile robot navigation and path optimization technique using vector calculus. A simulated robot in a simulated environment is used to test the algorithm that is to be developed. …”
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4
Flood Control Distance Vector Hop (FCDV-Hop) localization in wireless sensor networks
Published 2020“…Distance Vector-Hop (DV-Hop) localization is a distributed, hop by hop positioning algorithm. …”
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5
Performance comparison of AODV, DSDV and EE-DSDV routing protocol algorithm for wireless sensor network
Published 2009“…This paper describes a preliminary study on wireless sensor network (WSN) routing protocol algorithm with focus on energy saving strategy.Efficient energy saving and consumption will ensure the lifespan of the battery are prolonged and the delay of transmitting data will be within the acceptable range of 300 meter by 300 meter network size.The routing protocol Ad-hoc On Demand Distance Vector (AODV), Destination Sequence Distance Vector (DSDV) and Energy Efficient Destination Sequence Distance Vector (EE-DSDV) were used in the study to compare the performance of the network in terms of maximum delay, throughput receive as well as the remaining energy in the network.…”
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Conference or Workshop Item -
6
A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network
Published 2015“…Different centralized approaches such as least-squares (LS) and particle filtering (PF) algorithms have been developed to localize an acoustic source by using a distributed acoustic vector sensor (AVS) array. …”
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7
Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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8
Sensor-less vector control using adaptive observer scheme for controlling the performance of the induction motor / Mazhar Hussain Abbasi
Published 2013“…Sensorless vector control technique using adaptive observer scheme is being used to control the performance of induction motor which is demonstrated by the help of matlab/simulink software; a suitable tool for vector control of AC motor. …”
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Thesis -
9
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Multi-sensor fusion based on multiple classifier systems for human activity identification
Published 2019“…To provide compact feature vector representation, we studied hybrid bio-inspired evolutionary search algorithm and correlation-based feature selection method and evaluate their impact on extracted feature vectors from individual sensor modality. …”
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11
Classification with degree of importance of attributes for stock market data mining
Published 2004“…Alan Fan et aI., [2] use Support Vector Machine (SVM) to stock market prediction. The SVM is a training algorithm for learning classification and regression rules from data [7]. …”
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12
Time series predictive analysis based on hybridization of meta-heuristic algorithms
Published 2018“…The identified meta-heuristic methods namely Moth-flame Optimization (MFO), Cuckoo Search algorithm (CSA), Artificial Bee Colony (ABC), Firefly Algorithm (FA) and Differential Evolution (DE) are individually hybridized with a well-known machine learning technique namely Least Squares Support Vector Machines (LS-SVM). …”
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Auto-feed hyperparameter support vector regression prediction algorithm in handling missing values in oil and gas dataset
Published 2020“…However, they have their useful lives and will degrade over time. This issue prompts to be solved using predictive analytics to predict the Remaining Useful Life (RUL) of equipment. …”
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15
Spacecraft sun-pointing using coplanar solar panels data and magnetic field measurements
Published 2013“…The goal of this paper is to develop an algorithm for sun vector estimation without any explicit measurements from sun sensors. …”
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Proceeding Paper -
16
Development of a Robust Wireless Sensor Mesh and Multi-hop Network
Published 2012“…The existing routing algorithms used are the XMESH and Ad-Hoc On-Demand Vector Routing (AODV).…”
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Final Year Project -
17
Wearable based-sensor fall detection system using machine learning algorithm
Published 2021“…In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. …”
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Proceeding Paper -
18
Object Recognition Using Soft Sensors
Published 2021“…However, there is a lack of study to equip the soft sensors with a smart feature. Therefore, this study proposes a smart glove that can recognise objects using a support vector machine (SVM), a supervised machine learning algorithm. …”
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Final Year Project / Dissertation / Thesis -
19
Widely linear dynamic quaternion valued least mean square algorithm for linear filtering
Published 2017“…Thus, the proposed algorithms proved to be superior over the other algorithms in all aspects.…”
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Thesis -
20
