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Fraud Detection in Shipping Industry using K-NN Algorithm by Subramaniam G., Mahmoud M.A.

Fraud detection in shipping industry based on location using machine learning comparison techniques by Ganesan Subramaniam, Mr.

“…However, the challenge in data-driven detection is its effectiveness is often detection accuracy and the speed of detection. …”

Development of a wearable human fall detection system by Chua, Kean Hong, Sai, Siong Jun, Chan, Chi Yen, Kamsani, Noor Ain, Che Soh, Azura, Raja Ahmad, Raja Mohd Kamil

“…The accuracy of the fall detection algorithm was determined to be at 98.41%. …”
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Revolutionizing Perimeter Intrusion Detection: A Machine Learning-Driven Approach with Curated Dataset Generation for Enhanced Security by Pitafi, S., Anwar, T., Dewa Made Widia, I., Yimwadsana, B.

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Development of a Sensor to Detect Condensation of Super-Sonic Steam by Khan, A., Sanaullah, K., Ul Haq, N.

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Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed by Aneesa Ali, Ali Saeed

“…This model driven approach was integrated with the proposed infeasible path detection method which based on analyzing various OCL constructs and operations. …”
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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS by AZMAN, MOHAMAD AFIQ

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DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS by AZMAN, MOHAMAD AFIQ

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Breast cancer diagnosis through an optimization-driven multispectral gamma correction (ODMGC) by Raj A, Arul Edwin, Ahmad, Nabihah, Durai S, Ananiah

“…The Optimization-Driven Multispectral Gamma Correction (ODMGC) algorithm overcomes challenges in gathering subtle information and detecting cancer in dense breast thermograms. …”
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Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow by Osman A., Afan H.A., Allawi M.F., Jaafar O., Noureldin A., Hamzah F.M., Ahmed A.N., El-shafie A.

AI recommendation penetration testing tool for cross-site scripting: support vector machine algorithm by Salim, Nur Saadah, Saad, Shahadan

“…This research introduces a new approach to enhancing cybersecurity by integrating Support Vector Machine (SVM) algorithms with penetration testing to develop a recommendation system focused on Cross-Site Scripting (XSS) attack detection. …”
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Learning representations of network traffic using deep neural networks for network anomaly detection: A perspective towards oil and gas it infrastructures by Naseer, S., Ali, R.F., Dominic, P.D.D., Saleem, Y.

“…In this study we propose, implement and evaluate use of Deep learning to learn effective Network data representations from raw network traffic to develop data driven anomaly detection systems. Proposed methodology provides an automated and cost effective replacement of feature extraction which is otherwise a time and resource intensive task for developing data driven anomaly detectors. …”
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Development of intelligent early warning system for steam turbine by Ismail Alnaimi F.B., Bin Ismail R.I., Ker P.J., Wahidin S.K.B.

“…The ANN models and the hybrid artificial intelligence (AI) of ANN with Genetic Algorithm (GA), which is able to detect steam turbine trip for Malaysia Jana Manjung (MNJ) power station were developed. …”

The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Optimization of Motion Compensated Block-Based DCT Video Compression for Software Implementation by Chen, Soong Der

“…For the implementation aspect, software-driven media processing was studied. A popular software-driven media processing's technology - MMXTM was studied for its application in 2-D 8x8 DCI. …”
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Spotted hyena optimizer with deep learning driven cybersecurity for social networks by Mustafa Hilal, Anwer, Hassan Abdalla Hashim, Aisha, G. Mohamed, Heba, A. Alharbi, Lubna, K. Nour, Mohamed, Mohamed, Abdullah, S. Almasoud, Ahmed, Motwakel, Abdelwahed

“…Current advancements in machine learning (ML), deep learning (DL), and natural language processing (NLP) tools enable to detect and classify CB in social networks. In this view, this study introduces a spotted hyena optimizer with deep learning driven cybersecurity (SHODLCS) model for OSN. …”
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Passenger Counting With Face Detection by Teoh, Han Wei

“…Such applications range from retail analytics, queue management and space utilizations. Driven by the success of machine learning, this study aims to develop a real-time passenger counting system. …”
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Bibliometric analysis of AI-driven FinTech revolution: mapping global trends, thematic evolution, and future directions by Magli, Amirah Shazana, Sabri, Mohamad Fazli, Hazudin, Siti Fahazarina, Law, Siong Hook, Janani, M., Najam, Usama, Shahabudin, Sharifah Muhairah

“…Results show an immersive publication growth rate of 26.84, indicating rising academic interest in AI-driven FinTech, with global collaboration accounting for 38.4, as supported by an increase in international co-authorship in areas such as robo-advisory services and fraud detection. …”
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From sensing to predictions and database technique: a review of TV white space information acquisition in cognitive radio networks by Anabi, Hilary K., Nordin, Rosdiadee, Abdulghafoor, Omar B., Sali, Aduwati, Mohamedou, Ahmed, Almqdshi, Abdulmajid, Abdullah, Nor Fadzillah

“…To convey the evolutionary trends in the development of white space information, we present a survey of the contemporary advancements in PU detection with emphasis on the practical deployment of CRNs i.e. …”
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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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