Search Results - (( based evaluation force algorithm ) OR ( early identification based algorithm ))
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Node placement optimization using extended virtual force and cuckoo search algorithm in wireless sensor network
Published 2014“…The performance of Extended Virtual Force-Based Algorithm (EVFA) and Cuckoo Search (CS) algorithm are evaluated and EVFA shows the improvement of coverage area and exhibits a guaranteed connectivity compared to CS algorithm. …”
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Calibration of optical based silicone tactile sensor based on image deformation technique / Abdul Halim Esa
Published 2016“…The characteristics of the tactile sensor will be analysed according to three parameters namely area, perimeter and diameter of the tactile sensor. Based on these three parameters, three different types of algorithm are developed in order to measure experimentally the forces and deformation based on optical information of the tactile sensor. …”
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Methods for identification of the opportunistic gut mycobiome from colorectal adenocarcinoma biopsy tissues
Published 2024“…•Application of machine learning algorithms to the identification of potential mycobiome biomarkers for non-invasive colorectal cancer screening. …”
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Regenerative braking strategy for electric vehicles using improved adaptive genetic algorithm
Published 2017“…The second strategy is based on Standard Genetic Algorithm (SGA). Lastly, the third strategy is utilizing Improved Adaptive Genetic Algorithm (IAGA). …”
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Development of MyCGPA for early predicting students’ academic performance
Published 2025“…One of the primary concerns in higher education is the early identification of underperforming students. …”
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Identification of transformer fault based on dissolved gas analysis using hybrid support vector machine-modified evolutionary particle swarm optimisation
Published 2018“…It was found that the proposed hybrid SVM-Modified EPSO (MEPSO)-Time Varying Acceleration Coefficient (TVAC) technique results in the highest correct identification percentage of faults in a power transformer compared to other PSO algorithms. …”
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Deep learning-based colorectal cancer classification using augmented and normalised gut microbiome data / Mwenge Mulenga
Published 2022“…First, to investigate the methods used to address limitations associated with microbiome-based datasets in colorectal cancer identification using deep neural network algorithms. …”
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Ensemble-based machine learning algorithms for classifying breast tissue based on electrical impedance spectroscopy
Published 2020“…In addition, the ranked order of the variables based on their importance differed across the ML algorithms. …”
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A new algorithm on Graphical User Authentication (GUA) based on multi-line grids
Published 2010“…This is then followed by a discussion on the newly proposed algorithm that is based on a multi size grid and its evaluation by an attacker team. …”
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Investigation of An Early Prediction System of Cardiac Arrest Using Machine Learning Techniques
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Improving regenerative braking strategy using genetic algorithm for electric vehicles / H. Taleghani ... [et al.]
Published 2018“…The performance of the proposed regenerative braking control algorithm is evaluated by the ADVISOR which is based on MATLAB/Simulink environment. …”
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Real time self-calibration algorithm of pressure sensor for robotic hand glove system
Published 2019“…The proposed method was validated by comparing the output force of PSCA with the experimental target force from load cell (reference). …”
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Predictive Modelling of Stroke Occurrence among Patients using Machine Learning
Published 2023“…Early identification of high-risk patients enables timely intervention and implementation of preventive measures, potentially reducing the burden of stroke-related complications. …”
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Development of IoT-based heatstroke early symptoms monitoring system for students in Malaysia
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Obstacle Avoidance by Steering and Braking with Minimum Total Vehicle Force
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Automated negative lightning return strokes characterization using brute-force search algorithm
Published 2022“…Hence, this study proposed the development of an automated negative lightning return strokes characterization using a brute-force search algorithm. A total of 170 lightning electric field waveforms were characterized automatically using the proposed algorithm. …”
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