Results 41 to 50 of about 1,759,415 (331)

Time-Aware and Feature Similarity Self-Attention in Vessel Fuel Consumption Prediction

Applied Sciences, 2021
An accurate vessel fuel consumption prediction is essential for constructing a ship route network and vessel management, leading to efficient sailings. Besides, ship data from monitoring and sensing systems accelerate fuel consumption prediction research.
Hyun Joon Park, Min Seok Lee, Dong Il Park, Sung Won Han   +3 more
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Ensembl 2004 [PDF]

Nucleic Acids Research, 2004
The Ensembl (http://www.ensembl.org/) database project provides a bioinformatics framework to organize biology around the sequences of large genomes. It is a comprehensive and integrated source of annotation of large genome sequences, available via interactive website, web services or flat files.
Birney, E, Andrews, D, Bevan, P, Caccamo, M, Cameron, G, Chen, Y, Clarke, L, Coates, G, Cox, T, Cuff, J, Curwen, V, Cutts, T, Down, T, Durbin, R, Eyras, E, Fernandez-Suarez, X M, Gane, P, Gibbins, B, Gilbert, J, Hammond, M, Hotz, H, Iyer, V, Kahari, A, Jekosch, K, Kasprzyk, A, Keefe, D, Keenan, S, Lehvaslaiho, H, McVicker, G, Melsopp, C, Meidl, P, Mongin, E, Pettett, R, Potter, S, Proctor, G, Rae, M, Searle, S, Slater, G, Smedley, D, Smith, J, Spooner, W, Stabenau, A, Stalker, J, Storey, R, Ureta-Vidal, A, Woodwark, C, Clamp, M, Hubbard, T   +47 more
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Ensembl 2016 [PDF]

Nucleic Acids Research, 2015
The Ensembl project (http://www.ensembl.org) is a system for genome annotation, analysis, storage and dissemination designed to facilitate the access of genomic annotation from chordates and key model organisms. It provides access to data from 87 species across our main and early access Pre! websites.
Andrew Yates, Wasiu Akanni, M. Ridwan Amode, Daniel Barrell, Konstantinos Billis, Denise Carvalho-Silva, Carla Cummins, Peter Clapham, Stephen Fitzgerald, Laurent Gil, Carlos García Girón, Leo Gordon, Thibaut Hourlier, Sarah E. Hunt, Sophie H. Janacek, Nathan Johnson, Thomas Juettemann, Stephen Keenan, Ilias Lavidas, Fergal J. Martin, Thomas Maurel, William McLaren, Daniel N. Murphy, Rishi Nag, Michael Nuhn, Anne Parker, Mateus Patricio, Miguel Pignatelli, Matthew Rahtz, Harpreet Singh Riat, Daniel Sheppard, Kieron Taylor, Anja Thormann, Alessandro Vullo, Steven P. Wilder, Amonida Zadissa, Ewan Birney, Jennifer Harrow, Matthieu Muffato, Emily Perry, Magali Ruffier, Giulietta Spudich, Stephen J. Trevanion, Fiona Cunningham, Bronwen L. Aken, Daniel R. Zerbino, Paul Flicek   +46 more
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Optimasi Prakiraan Cuaca Menggunakan Metode Ensemble pada Naïve Bayes dan C4.5

JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2022
Peramalan cuaca merupakan hal yang penting bagi keberlangsungan hidup masyarakat luas. Oleh karena itu, akurasi dari peramalan cuaca haruslah tinggi. Berdasarkan hal itu maka dilakukan penelitian untuk meningkatkan akurasi peramalan cuaca dengan model ...
Vini Indri Yani, Aradea Aradea, Husni Mubarok   +2 more
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METHOD OF TECHNICAL TRAINING OF THE ATHLETE-DANCER IN ENSEMBLE PERFORMANCE OF BALLROOM DANCING

Вестник Тамбовского университета. Серия: Гуманитарные науки, 2016
The concept “formation” as a form of sports dance, standards specific criteria of refereeing competitive activity, conditionality commanding performance by Latin American and European programs.
Tatyana Sergeevna Zinoveva, Marina Nikolaevna Yureva   +1 more
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Body and Hand–Object ROI-Based Behavior Recognition Using Deep Learning

Sensors, 2021
Behavior recognition has applications in automatic crime monitoring, automatic sports video analysis, and context awareness of so-called silver robots. In this study, we employ deep learning to recognize behavior based on body and hand–object interaction
Yeong-Hyeon Byeon, Dohyung Kim, Jaeyeon Lee, Keun-Chang Kwak   +3 more
doaj   +1 more source

Ensembl 2007 [PDF]

Nucleic Acids Research, 2007
The Ensembl (http://www.ensembl.org/) project provides a comprehensive and integrated source of annotation of chordate genome sequences. Over the past year the number of genomes available from Ensembl has increased from 15 to 33, with the addition of sites for the mammalian genomes of elephant, rabbit, armadillo, tenrec, platypus, pig, cat, bush baby ...
Hubbard, T. J. P., Aken, B. L., Beal, K., Ballester, B., Caccamo, M., Chen, Y., Clarke, L., Coates, G., Cunningham, F., Cutts, T., Down, T., Dyer, S. C., Fitzgerald, S., Fernandez-Banet, J., Graf, S., Haider, S., Hammond, M., Herrero, J., Holland, R., Howe, K., Howe, K., Johnson, N., Kahari, A., Keefe, D., Kokocinski, F., Kulesha, E., Lawson, D., Longden, I., Melsopp, C., Megy, K., Meidl, P., Ouverdin, B., Parker, A., Prlic, A., Rice, S., Rios, D., Schuster, M., Sealy, I., Severin, J., Slater, G., Smedley, D., Spudich, G., Trevanion, S., Vilella, A., Vogel, J., White, S., Wood, M., Cox, T., Curwen, V., Durbin, R., Fernandez-Suarez, X. M., Flicek, P., Kasprzyk, A., Proctor, G., Searle, S., Smith, J., Ureta-Vidal, A., Birney, E.   +57 more
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Intelligent Decision Forest Models for Customer Churn Prediction

Applied Sciences, 2022
Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry.
Fatima Enehezei Usman-Hamza, Abdullateef Oluwagbemiga Balogun, Luiz Fernando Capretz, Hammed Adeleye Mojeed, Saipunidzam Mahamad, Shakirat Aderonke Salihu, Abimbola Ganiyat Akintola, Shuib Basri, Ramoni Tirimisiyu Amosa, Nasiru Kehinde Salahdeen   +9 more
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Ensembl 2020

Nucleic Acids Research, 2019
Abstract The Ensembl (https://www.ensembl.org) is a system for generating and distributing genome annotation such as genes, variation, regulation and comparative genomics across the vertebrate subphylum and key model organisms. The Ensembl annotation pipeline is capable of integrating experimental and reference data from multiple ...
Andrew D Yates, Premanand Achuthan, Wasiu Akanni, James Allen, Jamie Allen, Jorge Alvarez-Jarreta, M Ridwan Amode, Irina M Armean, Andrey G Azov, Ruth Bennett, Jyothish Bhai, Konstantinos Billis, Sanjay Boddu, José Carlos Marugán, Carla Cummins, Claire Davidson, Kamalkumar Dodiya, Reham Fatima, Astrid Gall, Carlos Garcia Giron, Laurent Gil, Tiago Grego, Leanne Haggerty, Erin Haskell, Thibaut Hourlier, Osagie G Izuogu, Sophie H Janacek, Thomas Juettemann, Mike Kay, Ilias Lavidas, Tuan Le, Diana Lemos, Jose Gonzalez Martinez, Thomas Maurel, Mark McDowall, Aoife McMahon, Shamika Mohanan, Benjamin Moore, Michael Nuhn, Denye N Oheh, Anne Parker, Andrew Parton, Mateus Patricio, Manoj Pandian Sakthivel, Ahamed Imran Abdul Salam, Bianca M Schmitt, Helen Schuilenburg, Dan Sheppard, Mira Sycheva, Marek Szuba, Kieron Taylor, Anja Thormann, Glen Threadgold, Alessandro Vullo, Brandon Walts, Andrea Winterbottom, Amonida Zadissa, Marc Chakiachvili, Bethany Flint, Adam Frankish, Sarah E Hunt, Garth IIsley, Myrto Kostadima, Nick Langridge, Jane E Loveland, Fergal J Martin, Joannella Morales, Jonathan M Mudge, Matthieu Muffato, Emily Perry, Magali Ruffier, Stephen J Trevanion, Fiona Cunningham, Kevin L Howe, Daniel R Zerbino, Paul Flicek   +75 more
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EDNC: Ensemble Deep Neural Network for COVID-19 Recognition

Tomography, 2022
The automatic recognition of COVID-19 diseases is critical in the present pandemic since it relieves healthcare staff of the burden of screening for infection with COVID-19.
Lin Yang, Shui-Hua Wang, Yu-Dong Zhang
doaj   +1 more source