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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…Recently, various techniques based on different algorithms have been developed. However, the classification accuracy and computational cost are not satisfied. …”
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Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde by Ogunfolajin Maruff , Tunde

“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Face classification for three major ethnic of Orang Asli using Back Propagation Neural Network / Nor Intan Shafini Nasaruddin by Nasaruddin, Nor Intan Shafini

“…The image classification prototype is developed by using JAVA programming language which is based on supervised learning algorithm, Backpropagation Neural Network. …”
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Development Of Machine Learning User Interface For Pump Diagnostics by Lee, Zhao Yang

“…The features extracted of time domain and frequency domain in vibration and acoustic will use as database of a Support Vector Machine (SVM) algorithms by using MATLAB R2021a. The result from the SVM algorithms will be used as database for the machine learning in Microsoft Azure. …”
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Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning by Solihin M.I., Yanto, Hayder G., Maarif H.A.-Q.

Object-Oriented Programming semantics representation utilizing agents by Mohd Aris, Teh Noranis

“…Generally, these source codes go through the preprocessing, comparison, extraction, generate program semantics and classification processes. A formal algorithm that can be applied to any two related Java-based source codes examples is invented to generate the semantics of these source codes. …”
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Features selection for intrusion detection system using hybridize PSO-SVM by Tabaan, Alaa Abdulrahman

“…The results reveal that the proposed hybrid algorithm is capable of achieving classification accuracy values of (95.82 % and 97.68 %), detection rates values of (95.8 % and 99.3 %) and false alarm rates values of (0.083 % and 0.045 %) on both KDD CUP 99 and NSL KDD. …”
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Development of cell formation algorithm and model for cellular manufacturing system by Nouri, Hossein

“…Therefore, for this proposes good benchmarked algorithm, bacteria foraging algorithm is selected and developed to solve multiobjective cell formation model and traced constraints satisfaction handling to produce feasible optimal solution. …”
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Vision-based robot indoor navigation by Teo, Zhin Hang

“…NodeRed links both processing units together. An algorithm is developed in the computer to achieve image processing, user input, path planning, simulation, and writing of output files. …”
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Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions by Saraswati, Galuh Wilujeng

“…Future work should be focusing on data collection of the E-Nose sensors and the improvement of the learning algorithm robustness towards environmental noise during data acquisition, such as evaporation and contamination of odor samples.…”
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Real-time Personal Protective Equipment (PPE) compliance detection system using you only look once version 5 / Nur Amielia Natasha Mohamad Nazli by Mohamad Nazli, Nur Amielia Natasha

“…Therefore, the objectives of this project involve design and implementation of a real-time PPE detection system, which aims to effectively monitor workers’ safety compliance. The project utilizes the You Only Look Once (YOLO) algorithm as the detection algorithm, namely version 5. …”
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Aligning Malaysian SMEs with the megatrends: the roles of HPWPs and employee creativity in enhancing Malaysian SME performance by Ismail, AbdussalaamIyanda, Abdul Majid, Abdul Halim, Abdul Rahman, Maria, Jamaluddin, Noor Asma, Susantiy, Ade Irma, Setiawati, Cut Irna

“…Also, HPWPs that focus on development of creative problem-solving skill can enhance workers’ ability to generate alternative solutions, product knowledge and customer service skills which are crucial to creativity in the organization. …”
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub... by Md. Som, Ayub

“…This research attempts to develop a new control algorithm to regulate the blood glucose level (BGL) for Type 1 Diabetes. …”
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Waste management using machine learning and deep learning algorithms by Sami, Khan Nasik, Amin, Zian Md Afique, Hassan, Raini

“…The cleaning process involves with the isolation of waste that could be due to unskilled workers, which is less effective, time-consuming, and not plausible because the reality is, there is a lot of waste. …”
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An effective islanding detection method for photovoltaic grid connected inverter / Ku Nurul Edhura Ku Ahamad by Ku Nurul Edhura , Ku Ahamad

“…A new algorithm is developed in a low cost PIC18F4550. An improved disconnection time in the proposed method compared with that in the previously developed method is an attractive solution for single phase grid connected inverters. …”
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An active lower-extremity exoskeleton for synchronous mobility assistance in lifting and carrying manual handling task / Sado Fatai by Sado , Fatai

“…These disorders are degenerative, affect workers productivity, and can lead to lifelong immobility for affected workers. …”
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Artificial Neural Network in Predicting Risk Exposure in Malaysian Shipyard Industry by David Chua, Sing Ngie, Calvin Chin, Yen Chih, Lim, Soh Fong

“…Several network architectures were developed and the best model was selected for the risk exposure prediction of workers in the shipyard industry. …”
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Optimization of the PID-PD parameters of the overhead crane control system by using PSO algorithm by Nur Iffah, Mohamed Azmi, Nafrizuan, Mat Yahya, Ho, Jun Fu, Wan Azhar, Wan Yusoff

“…The development of combination of proportional-integral-derivative and proportional-derivative (PID-PD) controller for overhead crane is presented. …”
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PoshPick / Aiman Ariff Suliman ... [et al.] by Suliman, Aiman Ariff, Ahmad Liza, Aina Aniqah, Anuar, Danish Faid, Mohd Rizal, Nur Alia Aqilah, Ibrahim, Nurin Farhah, Mohd Fabli, Siti Nur Nashwa Faqihah

“…In this New Product Development (NPD) report, we came out with a solution to this problem which is by developing a blueprint by using mobile applications. …”
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Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods by Mohammed Alsumaidaee Y.A., Yaw C.T., Koh S.P., Tiong S.K., Chen C.P., Yusaf T., Abdalla A.N., Ali K., Raj A.A.

“…The 1D-CNN-LSTM model achieved a 100%, 100%, and 100% success rate during training, validation, and testing. Hence, the developed algorithms achieved high performance in identifying corona faults in switchgear, particularly the 1D-CNN-LSTM model due to its accuracy in detecting corona faults in both the time and frequency domains. � 2023 by the authors.…”