The experimental working by wet and dry methods, of a low grade silver and gold ore from Newburyport, Mass. by Wood, F. W. (Floyd William), 1926-

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Pruning methods for RBF networks by Tarannum Shakir.

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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

A data mining method to extract traffic network for maritime transport management by Liu, Zhao, Gao, Hairuo, Zhang, Mingyang, Yan, Ran, Liu, Jingxian

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

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

Hybrid machine learning method to determine the optimal operating process window in aerosol jet 3D printing by Zhang, Haining, Moon, Seung Ki, Ngo, Teck Hui

“…The proposed method consists of classic machine learning methods, including experimental sampling, data clustering, classification, and knowledge transfer. …”
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Feature selection for classification applications in neural network pruning by Gong, Rui

“…The feature selection problem, which is a traditional machine learning problem, share many similarities with neural network pruning problem. …”
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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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SSCM2423 Numerical Methods 1 : Learning Module / by Shazirawati Mohd Puzi, author 618942

Analysis of TEM data using machine learning methods by Muhammed Imran Khairul Alam

“…This paper also presents a comparison of imaging techniques, such as filtering and machine learning methods, that would improve the quality of the raw liquid phase images.…”
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Ensemble hybrid learning methods for automated depression detection by Ansari, Luna, Ji, Shaoxiong, Chen, Qian, Cambria, Erik

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Predict marine vessels’ trajectory with machine learning methods by Cho, Siqi

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Exchange rate prediction based on machine learning methods by Hong, Yuyue

“…In this paper, we use machine learning methods mentioned above to forecast the exchange rate between five different currencies and the United States dollar. …”
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