Your selections:
A comprehensive evaluation of predictive performance of 33 species distribution models at species and community levels
- Norberg, Anna, Abrego, Nerea, Foster, Scott D., Fox, Richard, Franklin, Janet, Godsoe, William, Guisan, Antoine, O'Hara, Bob, Hill, Nicole A., Holt, Robert D., Hui, Francis K.C., Husby, Magne, Blanchet, F. Guillaume, Kalas, John Atle, Renner, Ian, Adler, Frederick R., Anderson, Barbara J., Anttila, Jani, Araujo, Miguel B., Dallas, Tad, Dunson, David, Elith, Jane
A geomatics data integration technique for coastal change monitoring
- Mills, J. P., Buckley, S. J., Mitchell, H. L., Clarke, P. J., Edwards, S. J.
- Ulfarsson, Trandur, Lundgren-Nilsson, Åsa, Blomstrand, Christian, Nilsson, Michael
A novel mathematical model for predicting landslide displacement
- Li, S. H., Wu, L. Z., Huang, Jinsong
A theory for mathematical framework and fatigue damage function for the S-N plane
A validity framework theory and fatigue damage function for an S–N plane
An approach for predicting embankment settlement by integrating multi-source information
- Zheng, Dong, Huang, Jin-song, Li, Dian-qing
Comparative study of data mining techniques for predicting explosions in coal mines
- Namazi, Samira, Brankovic, Ljiljana, Moghtaderi, Behdad, Zanganeh, Jafar
Consensus acceleration of multi-agent systems via model prediction
- Chen, Zhiyong, Zhang, Hai-Tao
Contextualizing the current state of research on the use of machine learning for student performance prediction: A systematic literature review
- Alalawi, Khalid, Athauda, Rukshan, Chiong, Raymond
Corrosion cracking prediction updating of deteriorating RC structures using inspection information
- Suo, Qinghui, Stewart, Mark G.
Craniofacial phenotyping for prediction of obstructive sleep apnoea in a Chinese population
- Sutherland, Kate, Lee, Richard W. W., Petocz, Peter, Chan, Tat On, Ng, Susanna, Hui, David S., Cistulli, Peter A.
Craving as a predictor of treatment outcomes in heavy drinkers with comorbid depressed mood
- Connolly, Jennifer M., Kavanagh, David J., Baker, Amanda L., Kay-Lambkin, Frances J., Lewin, Terry J., Davis, Penelope J., Quek, Lake-Hui
Development of risk prediction models for severe periodontitis in a Thai population: statistical and machine learning approaches
- Teza, Htun, Pattanateepapon, Anuchate, Lertpimonchai, Attawood, Vathesatogkit, Prin, McKay, Gareth J., Attia, John, Thakkinstian, Ammarin
Embankment prediction using testing data and monitored behaviour: A Bayesian updating approach
- Zheng, Dong, Huang, Jinsong, Li, Dian-Qing, Kelly, Richard, Sloan, Scott William
- Tehan, Peta Ellen, Hawes, Morgan Brian, Hurst, Joanne, Sebastian, Mathew, Peterson, Benjamin John, Chuter, Vivienne Helaine
- Bartlett, John M. S., Ahmed, Ikhlaaq, Brookes, Cassandra L., Forbes, John F., Viale, Giuseppe, Cuzick, Jack, Dowsett, Mitchell, Rea, Daniel W., Regan, Meredith M., Sestak, Ivana, Mallon, Elizabeth A., Dell'Orto, Patrizia, Thürlimann, Beat, Seynaeve, Caroline, Putter, Hein, Van de Velde, Cornelis J. H.
How long will it take to mitigate this incident for online service systems?
- Wang, Weijing, Chen, Junjie, Xu, Zhangwei, Dang, Yingnong, Zhang, Dongmei, Yang, Lin, Zhang, Hongyu, Zhao, Pu, Qiao, Bo, Kang, Yu, Lin, Qingwei, Rajmohan, Saravanakumar, Gao, Feng
- Ernest, Kissi, Theophilus, Adjei-Kumi, Amoah, Peter, Emmanuel, Boateng Bannor
Lead bioavailability as influenced by its sources, speciation and soil properties
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