Search Results - (feed OR need)-forward ((function algorithm) OR (detection algorithm))

Adaptive glioblastoma detection using evolutionary-based algorithm / Nurul Amira Mohd Ali by Mohd Ali, Nurul Amira

“…The objectives of the project are to design and develop a prototype of adaptive Glioblastoma detection using Evolutionary-based algorithm to assist in detecting brain tumor and also to test the prototype’s functionality and detection accuracy. …”
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An Innovative Signal Detection Algorithm in Facilitating the Cognitive Radio Functionality for Wireless Regional Area Network Using Singular Value Decomposition by Mohd. Hasbullah, Omar

“…In order to use the algorithm effectively, users need to balance between detection accuracy and execution time. …”
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Neural network algorithm-based fall detection modelling by Mohd Yusoff, Ainul Husna, Koh, Cheng Zhi, Ngadimon, Khairulnizam, Md Salleh, Salihatun

“…However, the improvement of model accuracy is still needed. This article presents results of modelling for fall detection system by using nonlinear autoregression neural network NARnet algorithm. …”
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Optimizing high-density aquaculture rotifer Detection using deep learning algorithm by Alixson Polumpung, Kit Guan Lim, Min Keng Tan, Sitti Raehanah Muhamad Shaleh, Renee Ka Yin Chin, Kenneth Teo Tze Kin

“…Second, is to develop the deep learning algorithm based on YOLOv3. Third step is to training and evaluate the model using loss function. …”
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A Review Paper On Memory Fault Models And Test Algorithms by Hussin, Razaidi, Jidin, Aiman Zakwan, Lee, Weng Fook, Mispan, Mohd Syafiq

“…Several memory testing algorithms that are used in memory built-in self-test (BIST) are discussed, in terms of test operation sequences, fault detection ability, and also test complexity. …”
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Simultaneous fault diagnosis based on multiple kernel support vector machine in nonlinear dynamic distillation column by Taqvi, S.A.A., Zabiri, H., Uddin, F., Naqvi, M., Tufa, L.D., Kazmi, M., Rubab, S., Naqvi, S.R., Maulud, A.S.

“…In the developed MK-SVM algorithm, multilabel approach based on various kernel functions has been utilized for the classification of simultaneous faults. …”
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A comparative analysis of machine learning algorithms for diabetes prediction by Alansari, Waseem Abdulmahdi, Masnizah Mohd

“…This study focuses on comparing the performance of three machine learning algorithms, namely Naive Bayes (NB), Support Vector Machines (SVM), and Random Forest (RF), in predicting diabetes using two datasets: Pima Indians Diabetes Dataset (PIDD) and the Diabetes 2019 Dataset (DD2019), and the need to identify the most accurate and effective algorithm for diabetes prediction. …”
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Detecting Remote-To-Local (R2L) attack using Decision Tree algorithm / Ahmad Nasreen Aqmal Mohd Nordin by Mohd Nordin, Ahmad Nasreen Aqmal

“…The implementation phase focuses on the deployment of the Decision Tree algorithm and system evaluation through functionality testing. …”
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Hand gesture recognition for autism diagnosis using Support Vector Machine (SVM) Algorithm / Muhammad Asyraf Mohamad Zain by Mohamad Zain, Muhammad Asyraf

“…For the future work, this system need to be improved by using dataset that are related to the ASD and by using other classification algorithm.…”
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Integrated face detection approach for far image application by Salka, Tanko Daniel

“…Therefore, the need of a robust and efficient face detection algorithm is required to tackle these problems. …”
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Early detection of anxiety in social media using Convolution neural network / Mohd Tharwan Hadi Ruslan by Ruslan, Mohd Tharwan Hadi

“…But since most people need to stay at home, then by no mean detecting mental health patient will be difficult. …”
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A new 13N-complexity memory built-in self-test algorithm to balance static random access memory static fault coverage and test time by Jidin, Aiman Zakwan, Hussin, Razaidi, Mispan, Mohd Syafiq, Lee, Weng Fook

“…It was accomplished by analyzing the fault coverage offered by the March AZ1 algorithm and then reorganizing its test sequence to address the limitation in detecting CFtr. …”
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On the energy detection performance based Welch's DCT algorithm in cognitive radio systems by Salman, Emad Hmood, Al-Karawi, Yassir Ameen Ahmed, Ahmed, Abdul Munem, Taher, Montadar Abas, Noordin, Nor Kamariah, Hashim, Shaiful Jahari, Hashim, Fazirulhisyam

“…The results of the proposed technique proved that its performance is better than the conventional Welch's algorithm for both cases of low SNR and multi user terminals.…”
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False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, Ateeq U. R., Hussin, Fawnizu Azmadi, Hamid, Nor Hisham

“…The effectiveness of the framework algorithm is shown through lemma proof.…”
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Identifying and detecting unlawful behavior in video images using genetic algorithm / Shahirah Mohamed Hatim by Mohamed Hatim, Shahirah

“…The data undergo the pre-processed phase which consists of edge detection, adaptive thresholding segmentation and MATLAB regionprops function for feature extraction. …”
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Vibration-based structural damage detection and system identification using wavelet multiresolution analysis / Seyed Alireza Ravanfar by Seyed Alireza, Ravanfar

“…To improve the proposed algorithm, GA was utilized to identify the best choice for ‘‘mother wavelet function” and “decomposition level” of the signals by means of the fundamental fitness function. …”
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UTeM navigation system: pedestrian and traffic sign detection using CNN algorithm by Wan Bejuri, Wan Mohd Ya'akob, Harun, Muhammad Harraz, Mohamad, Abdul Karim

“…Thus, this system aims to solve the problems, by developing mobile navigation with safety features by taking UTeM campus as our scope of the study. The system using algorithm using CNN as an algorithm and the architecture used is Tiny-YOLOv2 to detect traffic signs and pedestrians. …”
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False path identification algorithm framework for nonseparable controller-data path circuits by Shaheen, A.-U.-R., Hussin, F.A., Hamid, N.H.

“…The effectiveness of the framework algorithm is shown through lemma proof. © 2016 IEEE.…”
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Efficient edge detection using fuzzy heuristic particle swarm optimization / Noor Elaiza Abdul Khalid, Mazani Manaf and Mohd Ezane Aziz by Abdul Khalid, Noor Elaiza, Manaf, Mazani, Aziz, Mohd Ezane

“…In this research the PSO is used to optimize the edge detection detected by the CFH algorithm and it is referred to as FHPSO. …”
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Vision Based Multi Sensor Feedback System For Robot System With Intelligent by Syed Mohamad Shazali, Syed Abdul Hamid

“…Finally, a set of experiments to validate the proposed algorithms has been conducted. The algorithms function with success rate from 74% up to 100% and could handle the orientation of a tilted object up to 45 degrees. …”
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