The evolution of complexity in self-maintaining cellular information processing networks by Decraene, James, McMullin, Barry

“…This system is an agent-based multi-level selectional Artificial Chemistry (AC) which employs a term rewriting system called the Molecular Classifier System (MCS.bl). …”
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Soft-biometrics based people description in surveillance systems by Ong, Glen Hong Ting

“…With the current technology, most users employ traditional surveillance systems which could only provide record and playback of any saved footages. …”
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Synthetic image data generation via rendering techniques for training AI-based instance segmentation by Kho, Dickson Yik Cheng, Norazlianie, Sazali, Ismayuzri, Ishak, Saiful Anwar, Che Ghani

“…The work introduces a technique for creating artificial image data by utilizing 3D files and rendering methods in Python and Blender. The technique employs BlenderProc, a rendering tool for generating artificial images, to efficiently create a substantial amount of data. …”
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Combining laser frequency combs and iodine cell calibration techniques for Doppler detection of exoplanets by Cahoy, K., Fischer, D., Spronck, J., Demille, D.

“…The proposed LFC system design employs a fiber laser, tunable serial Fabry-Perot cavity filters to match the resolution of the LFC system to that of standard astronomical spectrographs, and terminal ultrasonic vibration of the multimode fiber for a stable point spread function.…”
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Modeling mass removal and sediment deposition in stormwater ponds using floating treatment islands: a computational approach by Xavier, Manoel L. M., Janzen, Johannes G., Nepf, Heidi

“…To address this gap, the present study employs computational fluid dynamics (CFD) modeling to investigate the intricate interactions within FTI systems. …”
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A data-driven method for automated data superposition with applications in soft matter science by Lennon, Kyle R., McKinley, Gareth H., Swan, James W.

“…In this work, we develop a data-driven, nonparametric method for superposing experimental data with arbitrary coordinate transformations, which employs Gaussian process regression to learn statistical models that describe the data, and then uses maximum a posteriori estimation to optimally superpose the data sets. …”
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Sawmill: From Logs to Causal Diagnosis of Large Systems by Markakis, Markos, Chen, An Bo, Youngmann, Brit, Gao, Trinity, Zhang, Ziyu, Shahout, Rana, Chen, Peter Baile, Liu, Chunwei, Sabek, Ibrahim, Cafarella, Michael

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Employee profiling via aspect-based sentiment and network for insider threats detection by Soh, Charlie, Yu, Sicheng, Narayanan, Annamalai, Duraisamy, Santhiya, Chen, Lihui

“…On the contrary to the traditional sentiment analysis, aspect-based sentiment analysis provides more fine-grained information on the employee. Our framework employs a combination of deep learning techniques such as Gated Recurrent Unit (GRU) and skipgram to build temporal sentiment profiles for the employees. …”
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Server-aided revocable predicate encryption : formalization and lattice-based instantiation by Ling, San, Nguyen, Khoa, Wang, Huaxiong, Zhang, Juanyang

“…Second, we put forward a lattice-based instantiation of SR-PE. The scheme employs the PE scheme of Agrawal et al. (2011, ASIACRYPT) and the complete subtree method of Naor et al. (2001, CRYPTO) as the two main ingredients, which work smoothly together thanks to a few additional techniques. …”
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Ideology, patronage, and manipulation of translation in Zouxiang weilai congshu: with special reference to the translation and introduction of Max Weber by Cui, Feng

“…Moreover, there have not been any papers which place Weber in historical and cultural context to explore the interaction between translation and politics. This paper employs a different approach where the focus is placed on the series' translation of Weber and the social ideology behind the translation. …”
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Optimising public transit using big data and machine learning by Lee, Kelvin

“…In the first part of the thesis, we explore a predictive optimisation framework that employs machine learning techniques to forecast passenger demand, which are then used to optimise a demand-responsive transit service. …”
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Sentiment analysis and topic modelling of 2024 U.S. and Indonesian election tweets: a study of political discourse and public opinion by Widawati, Elisia Brispalma

“…Given the increasing importance of social media platforms like X (Twitter) in shaping political discourse, this research aims to explore how different models perform across diverse linguistic contexts. The study employs Long Short-Term Memory (LSTM) networks, Transformer models (IndoBERTweet and BERTweet), and Large Language Models (LLM) like GPT-4o for sentiment analysis, BERTopic leveraging Transformers and LLM for topic modelling, and Seasonal AutoRegressive Integrated Moving Average (SARIMA) model for sentiment forecasting. …”
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Reinforcement learning for an efficient and effective malware investigation during cyber Incident response by Dunsin, Dipo, Ghanem, Mohamed Chahine, Ouazzane, Karim, Vassilev, Vassil

“…This optimisation enhances the identification and classification of malware variants. The framework employs Q-learning and other techniques to boost the speed and accuracy of detecting new and unknown malware, outperforming traditional methods. …”
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The effect of meteorology and air quality to the COVID-19 cases in Malaysia: a multivariate deep learning approach by Peggy, Yeo, Azuraliza Abu Bakar, Zalinda Othman, Mazrura Sahani, Suhaila Zainudin, Zailiza Suli

“…In this study, we explore the impact of meteorological and air quality factors on COVID-19 case numbers in Malaysia, focusing on a case study in the Hulu Langat district of Selangor state, utilizing a deep learning approach. Our model, which employs a neural network architecture incorporating both Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNN), was trained using multivariate time-series data. …”
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Linking digital leadership and employee digital performance in SMEs in China: The chain-mediating role of high-involvement human resource management practice and employee dynamic c... by Wang, Guifang, Dato Mansor, Zuraina, Leong, Yee Choy

“…Based on the Resource-Based View (RBV) and Dynamic Capability Theory (DCT), this research focuses on Chinese Small and Medium Enterprises (SMEs) and employs purposive sampling to select four representative regions in China (Shanghai, Guangzhou, Guizhou, and Anhui). …”
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Experimental and multiscale analysis of volume fraction effects in tensile properties of recycled PLA-PDA/kenaf fiber 3D printing filament composites by Hamat, Sanusi, Ishak, M.R., Salit @ Sinon, Mohd Sapuan, Yidris, N., Hussin, M.S., Showkat Ali, S.A., Ibrahim, M.

“…Recognizing the inherent limitations of recycled PLA (rPLA), this research employs a unique method of coating rPLA with dopamine (DA) and reinforcing it with kenaf fibers (KF) at various weight fractions, introducing a novel multiscale modeling approach to address the challenges of interfacial bonding and tensile performance in recycled polymers. …”
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Best practices and factors to enhance transfer of training in Oman by Al Ghafri, Ahmed Mohammed Issa

“…Using Swanson and Holton‟s (2001) and Baldwin and Ford‟s (1988) models of the transfer of training, the study explores the transfer of training from a systemic and multidimensional perspective that represents the challenge of the transfer of training to performance (Burke and Hutchins, 2007). The current study employs the qualitative approach to provide answers to the research questions. …”
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Examining the Empirical Model of Malaysian Youth Motivation in Political Participation: The Three-Culture Perspective (S/O 14182) by Halim, Haslina, Mohamad, Bahtiar, Dalib, Syarizan, Abdu, Shamsu Dauda

“…Specifically, this study aims towards constructing a structural model of the associations between social media usage, perceived information quality, political interest and political knowledge with political participation among Malaysian youth. The study employs a mixed-method approach, with the quantitative method being a dominant component. …”
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Optimization Of CIPP Evaluation Model as An Escalation of Educational-Industrial Collaboration Program by Rizal, Fahmi, Verawardina, Unung, Nadawina, Nadia, Sutadji, Eddy, Kuntadi, Iwa, Mohd Nawi, Mohd Nasrun

“…Additionally, it seeks to reveal the direct and indirect influences between CIPP components—context, input, process, and product—to enhance the quality of cooperation and collaboration between industry and universities in Indonesia. The research employs a mixed-method approach, combining quantitative and qualitative methods. …”
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Enhanced Approach of Decision Making in Determining Contemporary Critical Preferential Factors and Location Decisions for Residential Project using MCDM Technique (S/O 13903) by Lamsali, Hendrik, Mad Lazim, Halim, Abdul Rahim, Mohd Kamarul Irwan, Osman, Wan Nadzri, Salleh, Mohamed Najib

“…The proposed research employs the Analytical Hierarchy Process (AHP) method to find the answers. …”
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