Search Results - (feed OR need)-software ((((section algorithm) OR (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. …”
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

Early tube leak detection system for steam boiler at KEV power plant by Ismail F.B., Singh D., Maisurah N., Musa A.B.B.

“…Backpropagation; Coal; Coal fired boilers; Engineering research; Engines; Fault detection; Fossil fuel power plants; Leak detection; Neural networks; Plant shutdowns; Steam power plants; Artificial neural network models; Coal-fired power plant; Feed-forward back propagation networks; Hidden layers; Neural network (nn); Training algorithms; Training function; Working properties; Boilers…”

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. …”
Get full text
Get full text
Get full text
Get full text

Optimal network reconfiguration and intelligent service restoration prediction technique based on Cuckoo search spring algorithm / Mohamad Izwan Zainal by Zainal, Mohamad Izwan

“…In addition, objective function using the same CSSA algorithm were applied i.e., Vmin and Ploss as the objective function, and multi-objective involves Vmin and Ploss as the objective function. …”
Get full text
Get full text

An improved diagnostic algorithm based on deep learning for ischemic stroke detection in posterior fossa by Muhd Suberi, Anis Azwani

“…As the amount of image data generated by NECT is massive, Deep Learning (DL) solutions are among the effective ways to deal with complex and large amount of cross-sectional data. Therefore, a new diagnostic algorithm based on DL is proposed for ischemic stroke detection in PF. …”
Get full text
Get full text
Get full text
Get full text

Ensemble Dual Algorithm Using RBF Recursive Learning for Partial Linear Network by Md Akib, Afif, Saad, Nordin, Asirvadam, Vijanth

“…Relative mass released of the leakage is introduced as the input for the simulation model and the data from the simulation model is taken at real time (on-line) to feed into the recursive algorithms for updating the linear weight. …”
Get full text
Get full text

Passive forward scatter radar based on LTE signal for vehicle detection and classification by Abdul Aziz, Noor Hafizah

“…This thesis clarifies in details the LTE based passive forward scatter radar receiver circuit, the detection scheme and the classification algorithm. …”
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text

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.…”
Get full text
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text
Get full text

Optimization of coded signals based on wavelet neural network by Ahmed, Mustafa Sami

“…When compared with other existing methods, WNN yields better PSR, low Mean Square Error (MSE), less noise, range resolution ability and Doppler shift performance than the previous and some traditional algorithms like auto correlation function (ACF) algorithm.…”
Get full text
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text
Get full text

E-Handrawn Calculator by Mohamad, Syamimi

“…The purpose of this project is to demonstrate an application of back-propagation network (comparison of training their algorithms and transfer function) in order to developing e-Hand-Drawn Calculator. …”
Get full text
Get full text

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.…”
Get full text
Get full text