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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

A new routing mechanism for energy-efficient in bluetooth mesh-low power nodes based on wireless sensor network by Almuslehi, Hussein Saad Mohammed

“…Thus, it is crucial to explore strategies to minimize energy consumption and optimize WSN performance. This study focuses on analyzing and enhancing routing algorithms in Bluetooth Mesh Low Power Node (M-LPN) and WSN, with an emphasis on energy efficiency. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Auto-formation group chat for fitness application with rule-based / Amar Aslam Ramli by Ramli, Amar Aslam

“…Thus, some phases of SDLC were used and the chosen phases such as requirement analysis, design, development, evaluating and documentation. This project are focuses on the FitwithTrainer android application with auto-formation group chatting as it is use geofencing technique in GPS to detect the nearest users. …”
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An analysis of lowest energy consumption (CPU time) through running several cryptography algorithms with different video formats by Jamil Alsayaydeh, Jamil Abedalrahim, Mohammad Alshannaq, Osama Saleh, Mohammad Nawafleh, Mohammad Mahmoud, Mohammad Nawafleh, Odai Yassin, Baharon, Mohd Rizuan, Baharudin, Zikri Abadi, Zainon, Maslan, Aziz, Azwan

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Video content adaptation based on user preferences and network bandwidth / Badariyah Bakhtiar by Bakhtiar, Badariyah

“…System architecture was designed and implement in video adaptation algorithms development. Through the algorithm, rule-based technique was used. …”
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Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications by Bello Tambawal, Abubakar, Noor, Rafidah Md, Salleh, Rosli, Chembe, Christopher, Oche, Michael

“…Nevertheless, research has shown that most of the existing clustering algorithms focus on cluster head (CH) election with very few addressing other critical issues such as cluster formation and maintenance. …”
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Modem Recognition Algorithm for Software Defined Radio Base Station by Rukumangatha Rajah, Sivaraman

“…The proposed algorithm was developed based on 8th order statistical moment and the technique was chosen based on the research work done by Keith et al [15]. …”
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Development of Malay word pronunciation application using vowel recognition by Mohd Yusof, Shahrul Azmi

“…In Malaysia, many researchers focus on developing speaker independent systems for training or articulation therapy or to assist language learners to learn about Malay Language or Bahasa Malaysia.Accuracy, noise robustness and processing time are concerns when developing speech therapy systems.In this study, a Malay word pronunciation test application was developed using the first 3 format and fundamental frequencies in an effort to improve pronunciation in Malay.This application was developed using Matlab and uses a vowel recognition algorithm classified using MLP classification technique.The application was developed and tested on UUM undergraduate students.For vowel classification, when fundamental frequency was added, 3-format feature vowel classification rate increased by 1.55% for male gender and 1.48% for female. …”
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Prevention of Textual Plagiarism Application by Mohd Nor, Nor Atikah

“…Thus, the main focus of this project is to perform a study on how to detect textual plagiarism. …”
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Constraint preserving mapping algorithm for XML storage by Ahmad, Kamsuriah, Mamat, Ali, Ibrahim, Hamidah, Mohd Noah, Shahrul Azman

“…In this paper, we propose an algorithm how to preserve these constraints while mapping from XML to relational schema. …”
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Comparison of conjugate gradient methods for developing the multiple linear regression model for rice production in Malaysia / Nur Atikah Mustapha by Mustapha, Nur Atikah

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Modular deep neural network in reducing overfitting to enhance generalization / Mohd Razif Shamsuddin by Shamsuddin, Mohd Razif

“…More and more research has been researched and developed that focuses on how the DNN model that can produce accurate results. …”
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Hyperparameter tuned deep learning enabled intrusion detection on internet of everything environment by Ahmed Hamza, Manar, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, S. Alotaibi, Saud, Mahgoub, Hany, S. Mehanna, Amal, Motwakel, Abdelwahed

“…At first, data pre-processing is performed to convert the actual data into useful format. In addition, Chaotic Local Search Whale Optimization Algorithm-based Feature Selection (CLSWOA-FS) technique is employed to choose the optimal feature subsets. …”
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Smart citation manager by Teh, Zhi Yun

“…(iv) Text extraction algorithm facilitate the retrieving text from PDF document to mind map. …”
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Enhancing a cluster-based TDMA MAC protocol for vehicle-to-vehicle communications / Abubakar Bello Tambawal by Abubakar Bello , Tambawal

“…Furthermore, a new algorithm was also developed to provide an efficient CH leadership transition from PCH to SeCH when the PCH can no longer continue with the leadership responsibility. …”
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Automatic generation of neural game controller using single and bi-objective evolutionary optimization algorithms for RTS Game by Chang, Kee Tong

“…Henceforth, EP is introduced as a benchmarking algorithm and this created our last sub-objective. …”
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A new multi-frames watermarking technique for tamper detection and recovery by Khor, Hui Liang

“…Nowadays, medical image modalities have been digitalized and standardized into DICOM format which exhibit multi-frames characteristics; hence, multi-frames medical images have been widely used in clinical practice but it has been found that most of watermarking researches were conducted on single-frame medical image because their focus was on the intrinsic algorithm of watermarking scheme. …”
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Predicting the maturity and organic richness using artificial neural networks (ANNs): A case study of Montney Formation, NE British Columbia, Canada by Barham, A., Ismail, M.S., Hermana, M., Padmanabhan, E., Baashar, Y., Sabir, O.

“…Therefore, in recent years, the search for fast, cheap, and appropriate methods has been the key focus of the literature. This study focuses on the application of artificial neural networks (ANNs) and principal component analysis (PCA) to develop an accurate model for TOC and Tmax prediction, based on petrophysical logs of depth, sonic, natural gamma, deep resistivity, and density. …”
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Risk Concentration for Context Assessment (RiCCA) of SMS Messages using Danger Theory by Kamahazira Binti Zainal

“…This RiCCA prototype is developed from Danger Theory algorithms that is Dendritic Cell Algorithm (DCA) and Deterministic Dendritic Cell Algorithm (dDCA). …”