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Optimized processing of satellite signal via evolutionary search algorithm by Hassan, Azmi, Othman, Rusli, Tang, Kieh Ming

“…This will take away the constraint resulted from the AS policy in processing the GPS satellites signal. The algorithm also shows its robustness because it does not require a good initial starting point. …”
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Development Of an Intelligent Controller For Power Quality Enhancement Of Microgrid by Logintheeran A/L Balakrishnan

Efficient ML technique in blockchain-based solution in carbon credit for mitigating greenwashing by Raja Segaran, Bama, Mohd Rum, Siti Nurulain, Hafez Ninggal, Mohd Izuan, Mohd Aris, Teh Noranis

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Performance comparison of different machine learning algorithms on a time-series of covid-19 data: A case study for Saudi Arabia by Ahmad, M.T., Qaiyum, S., Alamri, A., Islam, S.

“…Several machine learning models and related algorithms were developed for prediction of total cases and total deaths. …”
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Performance comparison of different machine learning algorithms on a time-series of covid-19 data: A case study for Saudi Arabia by Ahmad, M.T., Qaiyum, S., Alamri, A., Islam, S.

“…Several machine learning models and related algorithms were developed for prediction of total cases and total deaths. …”
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Optimised content-social based features for fake news detection in social media using text clustering approach by Yahya, Adnan Hussein Ali

“…In general, the process of fake news detection was conducted in two different phases, the topic detection phase using a graph-based unsupervised clustering method based on HFPA and Markov Clustering Algorithm (MCL) called (HFPA-MCL) and the fake news detection phase using an unsupervised clustering method based on K-means algorithm. …”
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SIMULATION AND ANALYSIS OF HARMONIC DETECTION AND MITIGATION SYSTEM USING ACTIVE FILTER by MIZA, BELIA

“…The main objective for this study is to analyse the harmonics components in AC power system using Fast Fourier Transforms (FFT) algorithm. Other than that, the objective is also to design and develop the harmonic detection system for power quality of AC power system. …”
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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

“…The enhanced harmony search (EHS) algorithm is employed to tune hyperparameters and increase model performance while mitigating overfitting in the EPDL model. …”

QR factorization equalisation scheme for mode devision multiplexing transmission in fibre optics by Abbas, Sharafal-Deen Abdulkadhum

“…This is done by trying to avoid the issues accompanied with the development of the previous algorithms that have been utilized for the same goal. …”
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Predicting sea levels using ML algorithms in selected locations along coastal Malaysia by Hazrin N.A, Chong K.L, Huang Y.F, Ahmed A.N, Ng J.L, Koo C.H, Tan K.W, Sherif M, El-shafie A

“…The study emphasizes the importance of thorough training and testing of ML to aid decision-makers in developing mitigation actions for the climate change phenomena of sea level rise through reliable ML. © 2023…”

Analytical simulation of non-linearity effects compensation in all-optical orthogonal frequency division multiplexing systems by Azarnia, Ali

“…The digital processing of the detected signals and Bit Error Rate (BER) calculation are performed by using DSP algorithm in Matlab software. …”
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Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia by Ahmed A.N., Yafouz A., Birima A.H., Kisi O., Huang Y.F., Sherif M., Sefelnasr A., El-Shafie A.

“…A reliable model to predict the changes in the water levels in a river is crucial for better planning to mitigate any risk associated with flooding. In this study, six different Machine Learning (ML) algorithms were developed to predict the river�s water level, on a daily basis based on collected data from 1990 to 2019 which were used to train and test the proposed models. …”

Predicting sea levels using ML algorithms in selected locations along coastal Malaysia by Hazrin N.A., Chong K.L., Huang Y.F., Ahmed A.N., Ng J.L., Koo C.H., Tan K.W., Sherif M., El-shafie A.

“…The study emphasizes the importance of thorough training and testing of ML to aid decision-makers in developing mitigation actions for the climate change phenomena of sea level rise through reliable ML. � 2023…”

Machine Learning Applications in Offense Type and Incidence Prediction by Balaji, R., Manjula Sanjay, Koti, Harprith, Kaur

“…These techniques are used in various applications, fromnatural language processing to image recognition, and offer powerful tools for behavioral analysis. …”
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Augmented reality mapping with AR markers for enhanced tourism experiences by Muhammad Kharibi, Nadiah, Toha, Siti Fauziah, Azmi, Nur Liyana, Idris, Ahmad Syahrin, Tokhi, Mohammad Osman

“…The method approach to achieve this objective is using AR marker based and designed and developed using MATLAB. The study highlights that, regardless of some image quality limitations, complex feature detection algorithms like SURF and FAST can successfully mitigate the distortion and recovery processes. …”
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Donatenow: a crowdsourcing-based mobile application with geolocation and content-based filtering algorithm / Siti Rahayu Abdul Aziz and Nur Aqilah Balkis Hafiz Abu Bakar by Abdul Aziz, Siti Rahayu, Hafiz Abu Bakar, Nur Aqilah Balkis

“…The objective of this study is to develop a mobile application called DonateNow, designed to establish a charitable crowdsourcing system. …”
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Donatenow: a crowdsourcing-based mobile application with geolocation and content-based filtering algorithm / Siti Rahayu Abdul Aziz and Nur Aqilah Balkis Hafiz Abu Bakar by Abdul Aziz, Siti Rahayu, Hafiz Abu Bakar, Nur Aqilah Balkis

“…The objective of this study is to develop a mobile application called DonateNow, designed to establish a charitable crowdsourcing system. …”
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Analysis of Traffic Accident Patterns Using Association Rule Mining by Yudy, Pranata, Tri Basuki, Kurniawan, Edi Surya, Negara, Ahmad Haidar, Mirza

“…The processed rules can be a foundation for developing predictive models or decision-making tools to mitigate accident risks. …”
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Integrating Dynamic Limiting Mechanism in Electric Scooters to Mitigate Range Anxiety via SoC-Tracking Range-Enhancement Attachment (STRETCH) by Kamarudin, K.A.C., Zulkifli, S.A.M., Abro, G.E.M.

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Poverty risk prediction based on socioeconomic factors using machine learning approach by Mohd Zawari, Nur Farhana Adibah

“…The findings indicated that the Logistic Regression outperformed the other algorithm with 99.06% using cross-validation and 98.42% using the splitting method, and with the best value of precision, recall, and F1-score. …”
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