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2581por Divine M. Ashigbi, Michael N. Sackey, Yesuenyeagbe A.K. Fiagbe, Jonathan Quaye-Ballard“... was established by machine learning from the experimental data sets and applied to Triangular, Gaussian...”
Publicado 2021
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2582“... decade. In this regard, Machine Learning (ML) classifiers have shown great efficiency in discriminating...”
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2583por EIena I. Usova, Asiiat S. Alieva, Alexey N. Yakovlev, Madina S. Alieva, Alexey A. Prokhorikhin, Alexandra O. Konradi, Evgeny V. Shlyakhto, Paolo Magni, Alberico L. Catapano, Andrea Baragetti“... by artificial intelligence (AI)/machine learning (ML) strategies makes is possible to decipher the large amount...”
Publicado 2021
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2584“... motions and machine-learning-driven “smart systems” can optimise the magnitude and timing of joint...”
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2585por Logan W. Donaldson“... protein, Ea8.5, has been solved to date. Here, I have used the AlphaFold and RoseTTAFold machine learning...”
Publicado 2021
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2586“..., abundant training data for machine learning methods can be a major limiting factor in building effective...”
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2587“... for novel technologies, such as big data analytics, machine learning, and artificial intelligence, to take...”
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2588“... mining, knowledge discovery and machine learning, and been widely used in classification, clustering...”
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2589por Matthias C. Caro, Elies Gil-Fuster, Johannes Jakob Meyer, Jens Eisert, Ryan Sweke“... (PQCs) as machine learning models, within the framework of hybrid quantum-classical optimization...”
Publicado 2021
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2590“...Federated learning (FL) is an emerging technique that trains machine learning models across...”
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2591por Tuyana Boldanova, Geoffrey Fucile, Jan Vosshenrich, Aleksei Suslov, Caner Ercan, Mairene Coto-Llerena, Luigi M. Terracciano, Christoph J. Zech, Daniel T. Boll, Stefan Wieland, Markus H. Heim“.... In this study, we combine clinical, radiological, and genomics data in supervised machine-learning models toward...”
Publicado 2021
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2592por Michal Bodík, Tomáš Mackuľak, Miroslav Feher, Andrea Vojs Staňová, Kateřina Grabicová, Dóra Varjúová, Igor Bodík“... method has even a great potential for artificial intelligence and machine learning for calculating health...”
Publicado 2021
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2593por Hon Huin Chin, Petar Sabev Varbanov, Dániel Fózer, Péter Mizsey, Jirí Jaromír Klemeš, Xuexiu Jia“... recycling and mitigation. This study demonstrates the use of Machine Learning tools that enable automated...”
Publicado 2021
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2594por Pedro A.S. Jorge, Inês A. Carvalho, Filipe M. Marques, Vanessa Pinto, Paulo H. Santos, Sandra M. Rodrigues, Simão P. Faria, Joana S. Paiva, Nuno A. Silva“... of particles through the analysis of the scattering signal with machine learning algorithms. The results...”
Publicado 2021
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2595por Ismail M. Khater, Fanrui Meng, Timothy H. Wong, Ivan Robert Nabi, Ghassan Hamarneh“... of geometric structures (or blobs). Machine-learning based classification extracted 28 quantitative features...”
Publicado 2018
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2596“.... Machine-learning methods were developed to discriminate FX premutation carriers from mothers of children...”
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2597“... on observed data by considering the time delay (t delay). We used machine learning to estimate the future...”
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2598“... Edisonian (trial and error) process for material discoveries, driven by machine-learning algorithms. Several...”
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2599por Yu Takagi, Yuki Sakai, Giuseppe Lisi, Noriaki Yahata, Yoshinari Abe, Seiji Nishida, Takashi Nakamae, Jun Morimoto, Mitsuo Kawato, Jin Narumoto, Saori C Tanaka“... derived from a single dataset, which may be influenced by cohort-specific features. Here, our machine...”
Publicado 2017
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2600“...Abstract Quantum machine learning models have the potential to offer speedups and better predictive...”
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