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Analysis randomness properties of basic components of SNOW 3G cipher in mobile systems by Jassim, Khalid Fadhil, Alshaikhli, Imad Fakhri Taha

“…In this paper, we analyzed and evaluated the randomness properties of basic components of SNOW 3G cipher. …”
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A study on personalized recommender system using social media by Aishnivya, Balamurugan

“…The evaluation on these algorithm is done to evaluate accuracy of the algorithm. …”
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Development of axis movement controller for 2-axis configuration machine control by Haidil Hazha, Husaini

“…The aim of the project is to control the movement of conveyor for every 1cm per step, forward and reverse. The axis control algorithm is program in the PIC16F877 microcontroller using software PIC proBasic. …”
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Depression Detection Based on Features of Depressive Behaviour Through Social Media Analytic: A Systematic Literature Review by Mat Ripah N.A., Abdul Latif A., Che Cob Z., Mohd Drus S., Md Anwar R., Mohd Radzi H.

“…Furthermore, it is also shown that various machine learning algorithms are used, and the most used are Neural Network and Support Vector Machine. …”

Landslide Susceptibility Mapping with Stacking Ensemble Machine Learning by Solihin M.I., Yanto, Hayder G., Maarif H.A.-Q.

“…One of the prominent methods to improve machine learning accuracy is by using ensemble method which basically employs multiple base models. …”

Systematic review and meta-analysis on the classification metrics of machine learning algorithm based radiomics in hepatocellular carcinoma diagnosis by Mohd Haniff, Nurin Syazwina, Ng, Kwan Hoong, Kamal, Izdihar, Mohd Zain, Norhayati, Abdul Karim, Muhammad Khalis

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Fairness Categorization Policy Of Queuing Theory For Geographic Information System Job Scheduling by Kheoh, Hooi Leng

“…Each category of jobs is served along with First-Come First-Served (FCFS) basic using the Multiple Queues Multiple Machines (MQMM) configuration. …”
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A comparative analysis of machine learning approaches in sukuk price estimation across global regions by Islam, Gazi Taufiq, Malakar, Surajit, Hassan, Khondekar Lutful, Dey, Rajesh, Mahajan, Rupali A, Kassim, Salina

“…In addition, articles are evaluated for outcome-based research, particularly those that offer conclusions about the precision and effectiveness of Sukuk pricing or machine learning-based forecasting. …”
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Online food ordering application using Boyer-Moore algorithm / Muhammad Zulhilmie Dzulkifli by Dzulkifli, Muhammad Zulhilmie

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Bottleneck-based heuristic for permutation flowshop scheduling by Isa, Noor Amira

“…While, heuristic verification result showed that the bottleneck algorithms performed the best in minimizing the makespan for set of problems with bottleneck machine M4. …”
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Machine learning as new approach for predicting of maxillary sinus volume, a sexual dimorphic study by Hamd, Zuhal Y., Aljuaid, Hanan, Alorainy, Amal I., Osman, Eyas G., Abuzaid, Mohamed, Elshami, Wiam, Elhussein, Nagwan, Gareeballah, Awadia, Pathan, Refat Khan, Naseer, K.A., Khandaker, Mayeen Uddin *, Ahmed, Wegdan

“…In this retrospective study, we used data from 150 patients with normal maxillary sinuses to train and evaluate a Python ML algorithm for its ability to predict MSV from basic patient demographics (age, gender) and sinus length measurements in three directions (anteroposterior, mediolateral, and superoinferior). …”
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A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features by Keshkeh, Kinan, Jantan, Aman, Alieyan, Kamal

“…This study’s results proved EFS features of the number of packets sent and received were superior to related outliers percentage and flow features and could remarkably increase the performance up to ~42% in the case of Support Vector Machine accuracy. Furthermore, using the basic features, TLSMalDetect achieved the highest accuracy of 93.69% by Naïve Bayes (NB) among the ML algorithms applied. …”
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Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection by Ghanem, Waheed Ali Hussein Mohammed

“…To realize these objectives, the research in this thesis follows three basic stages, succeeded by extensive evaluations.…”
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Automatic generic process migration system in linux by Zarrabi, Amirreza

“…A fexible interface to the underlying checkpoint/ restart subsystem is designed which permits users to specify the migration mechanism according to process constraints. A migration algorithm is designed which attempts to exploit the unique features of the basic migration algorithms to form a generic algorithm. …”
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Enhancement of neural network based multi agent system for classification and regression in energy system by Yaw C.T., Yap K.S., Wong S.Y., Yap H.J., Paw J.K.S.

Exploiting Features From Triangle Geometry For Digit Recognition by Azmi, Mohd Sanusi, Nasrudin, Mohammad Faidzul, Omar, Khairuddin, Che Wan Ahmad, Che Wan Shamsul Bahri, Wan Mohd Ghazali, Khadijah

“…Triangle is a basic geometry. There are six type of triangle, but scalene triangle was chosen to be used in this research that based on coordinates of corners generated by our proposed algorithm. …”
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Image Copy-Move Forgery Detection Algorithms Based on Spatial Feature Domain by Ahmed I.T., Hammad B.T., Jamil N.

Assessing the potential of laboratory instructional tool through Synthesia AI: a case study on student learning outcome / Jacqueline Joseph by Joseph, Jacqueline

“…Synthesia AI is a cutting-edge technology that revolutionizes students’ immersive learning experience. With its advanced machine learning algorithms, Synthesia AI can generate photorealistic video content featuring virtual actors and presenters that can be programmed to speak in multiple languages, accents, and even emotional tones. …”
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Discrimination Of Lard And Other Edible Fats After Heating Treatments Using Partial Least Square Regression (plsr), Principal Component Regression (pcr) And Linear Support Vector M... by Nor Aishah Mohd Salleh, Mohd Sukri Hassan

Email spam classification based on deep learning methods: A review by Tusher, Ekramul Haque, Mohd Arfian, Ismail, Anis Farihan, Mat Raffei

“…The evolution of spam filtering has progressed considerably, transitioning from basic rule-based filters to more sophisticated machine learning algorithms. …”
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