Showing results 12704 to 12723 of 23593
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| Publication Date | Title | Author(s) |
| May-2004 | m-healthcare approaches for improving outpatient adherance in self-management of chronic diseases | Cocosila, Mihail; Archer, Norman P.; McMaster eBusiness Research Centre (MeRC) |
| Jun-2005 | m-healthcare initiatives for improving outpatient adherence: opportunities and barriers | Cocosila, Mihail; Archer, Norman P.; McMaster eBusiness Research Centre (MeRC) |
| Nov-1972 | M-Sets and Automata | Wood, Richard J. |
| 1740 | M. Annaei Lucani Pharsalia. Cum commentario Petri Burmanni. | Lucan, |
| 26-Feb-2016 | MacDATA RDM Workshop 1 - Data Management Planning with DMP Assistant | Brodeur, Jason; Jadon, Vivek |
| 17-Mar-2016 | MacDATA RDM Workshop 2 - Data Storage & Backup | Brodeur, Jason; Askey, Dale |
| 1987 | MACDOPE A Simulation of Pharmacokinetics | Ingram, David; Saunders, L; Dickinson, Christopher John; Bloch, Ralph F; Sweeney, George D; Ahmed, Kursheed |
| 2019 | MACHINABILITY ANALYSIS OF ALUMINUM-CAST IRON (AlSi-GCI) BIMETALLIC COMPONENTS THROUGH EXPERIMENTAL AND NUMERICAL STUDIES | Hbbani, Abdulellah |
| 2019 | MACHINABILITY COMPARISON BETWEEN TWO DIFFERENT GRADES OF TITANIUM ALLOYS UNDER DIVERSE TURNING AND COOLING CONDITIONS: Ti-6Al-4V and Ti-5Al-5V-5Mo-3Cr | Stolf, Pietro |
| 2020 | MACHINABILITY ENHANCEMENT OF STAINLESS STEELS THROUGH CONTROL OF BUILT-UP EDGE FORMATION | Seid Ahmed, Yassmin |
| 2024 | Machine Learning Algorithms for Multi-objective Design Optimization of Switched Reluctance Motors (SRMs) | Omar, Mohamed |
| 2024 | Machine Learning and Artificial Intelligence Application in Process Control | Wang, Xiaonian |
| 2021 | MACHINE LEARNING AND DEEP LEARNING ALGORITHMS IN THERMAL IMAGING VEHICLE PERCEPTION SYSTEMS | Dong, Jiahong |
| 2018 | Machine Learning Approach on Evaluating Predictive Factors of Fall-Related Injuries | Ateeq, Sameen |
| 2018 | A Machine Learning Approach to EEG-Based Emotion Recognition | Jamil, Sara |
| 2020 | Machine Learning Based Failure Detection in Data Centers | Piran Nanekaran, Negin |
| 2020 | Machine Learning for Analysis of Brain Signals | Arman Fard, Fatemeh |
| 2021 | Machine Learning for Classification of Pediatric Concussion Recovery Stages | Anderson, Lauren |
| 2024 | Machine Learning for Financial Crisis Prediction | Voskamp, Joseph |
| Dec-2020 | Machine Learning Identifies Clinical and Genetic Factors Associated With Anthracycline Cardiotoxicity in Pediatric Cancer Survivors | Chaix M-A; Parmar N; Kinnear C; Lafreniere-Roula M; Akinrinade O; Yao R; Miron A; Lam E; Meng G; Christie A; Manickaraj AK; Marjerrison S; Dillenburg R; Bassal M; Lougheed J; Zelcer S; Rosenberg H; Hodgson D; Sender L; Kantor P; Manlhiot C; Ellis J; Mertens L; Nathan PC; Mital S |
