A novel tuning method for implementing dynamic matrix control on a water tank system by Sudarshan, Srinivasa Ramanujam.

“…Lower the value of ’k’, system performance increases and becomes faster. The novel NlStar tuning technique was found to provide the same level of performance as the Shridhar-Cooper tuning method with greater ease to tune manually.…”
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An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models by Al-Hadhrami, Suheer, Menai, Mohamed El Bachir, Al-Ahmadi, Saad, Alnafessah, Ahmad

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Unsupervised bayesian generative methods by Li, Shaohua

“…Probabilistic generative models are recent development in unsupervised learning. The generative modeling framework can model rich structures and learn diverse types of relations within the data, which are usually difficult to do using traditional methods. …”
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Effectiveness of digital learning on students’ higher order thinking skills by Mat, Hamidah, Mustakim, Siti Salina, Razali, Fazilah, Ghazali, Norliza, Minghat, Asnul Dahar

“…In the realm of education, learning and instructional activities play a crucial role in cultivating lasting and meaningful comprehension among science students. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. …”
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Improving Technology Adoption Process in Accounting and Finance Using Systems Thinking Methods by Chun, Albert Y.

“…This study explores the application of Systems Thinking (ST) and Systems Engineering (SE) methods, developing an integrated framework that combines Rich Picture, Object-Process Diagram (OPD), Design Structure Matrix (DSM), and Multi-attribute Tradespace Exploration (MATE) to enhance the technology adoption decision-making process within A&F functions. …”
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Effect of drying methods on the proximate composition of chrysomya larvae reared on trash fish / by Ling, Sheau Jing, 1990-, author 569257, Zainoha Zakaria, supervisor 566648, Naji Arafat Mahat, supervisor 569255, Fakulti Sains 8004

Effect of drying methods on the proximate composition of chrysomya larvae reared on trash fish / by Ling Sheau Jing, 1990-, author 569257

Signature methods in machine learning by Lyons, T, McLeod, A

Signature methods in machine learning by Lyons, T, McLeod, AD

Refining malware analysis with enhanced machine learning algorithms using hyperparameter tuning by El Mouhtadi, Walid, El Bakkali, Mohamed, Maleh, Yassine, Mounir, Soufyane, Ouazzane, Karim

“…The study addresses these limitations using ensemble methods and pre-processing techniques, including feature selection and hyperparameter tuning. …”
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The Effect Of Blended Learning And critical Thinking On Tertiary EFL Argumentative Writing In China by Wang, Yuling

“…With the rapid development of Information and Communications Technology (ICT), the blended learning method is widespread in English-as-a-Foreign-Language (EFL) instruction. …”
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The devil is in the details: an evaluation of recent feature encoding methods by Chatfield, K, Lempitsky, V, Vedaldi, A, Zisserman, A

“…While several authors have reported very good results on the challenging PASCAL VOC classification data by means of these new techniques, differences in the feature computation and learning algorithms, missing details in the description of the methods, and different tuning of the various components, make it impossible to compare directly these methods and hard to reproduce the results reported. …”

Machine learning and deep learning methods for exchange-traded fund trading by Jeremia, Alexander

“…Machine Learning and Deep Learning has been growing in the popularity in many fields in the past few years especially in the field of Exchange Traded Funds (ETF) due to its ability to analyse large amount of data and detect patterns that might not be oblivious to traders. …”
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Two-step machine learning enables optimized nanoparticle synthesis by Mekki-Berrada, Flore, Ren, Zekun, Huang, Tan, Wong, Wai Kuan, Zheng, Fang, Xie, Jiaxun, Tian, Isaac Parker Siyu, Jayavelu, Senthilnath, Mahfoud, Zackaria, Bash, Daniil, Hippalgaonkar, Kedar, Khan, Saif, Buonassisi, Tonio, Li, Qianxiao, Wang, Xiaonan

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Variations in the composition and biochemical attributes of Eucalyptus camaldulensis L. leaves essential oil as function of drying methods by Saleem, Misbah, Shaheen, Muhammad Ashraf, Qadir, Rahman, Saba, Iram, Rehman, Muhammad Misbah ur, Paracha, Rizwan Nasir, Ahmad, Nazir, Riaz, Muhammad, Anwar, Farooq

Physical and chemical changes of seven selected herbs used as herbal bath affected by different drying methods by Md Zuki, Rose Fazila, Ismail, Mohd Firdaus, Aziz, Julia Abdul

“…The effect of oven drying (OD) at 50±5°C, sun drying (SD), and fresh leaves (control) of seven selected herbs used in herbal preparation as herbal baths were evaluated. …”
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Methods and systems for ontology learning, exploitation, and analysis by Xing, Jiang

“…By using a full text parsing technique and incorporating both statistical and lexico-syntactic methods, the ontologies learned by our system are more concise and contain a richer semantics in terms of the range and number of semantic relations compared with alternative systems.…”
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Machine learning methods for Android malware detection by Xu, Zhengzi

“…To detect the malware before the installed time, and overcome the drawbacks of dynamic analysis and signature based analysis, the machine learning based malware detection methods has been proposed. …”
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