Sally McClean mainly focuses on Markov model, Data mining, Artificial intelligence, Machine learning and Statistics. Her Markov model research is multidisciplinary, incorporating elements of Poisson distribution, Stochastic modelling, Duration and Resource allocation. She studies Knowledge extraction, a branch of Data mining.
Sally McClean works mostly in the field of Artificial intelligence, limiting it down to concerns involving Gait analysis and, occasionally, Gait, Principal component analysis and Pattern recognition. Her research integrates issues of Text mining, Robustness and Benchmark data in her study of Machine learning. Her Statistics research incorporates themes from Differential effects and Geriatrics.
Sally McClean spends much of her time researching Artificial intelligence, Data mining, Computer network, Machine learning and Quality of service. Her Artificial intelligence research includes themes of Natural language processing, Computer vision and Pattern recognition. The various areas that Sally McClean examines in her Data mining study include Cluster analysis, Distributed database, Database and Sensor fusion.
As part of her studies on Computer network, she frequently links adjacent subjects like Next-generation network. Machine learning connects with themes related to Probabilistic logic in her study. In her research on the topic of Quality of service, Cloud computing is strongly related with Distributed computing.
Sally McClean mostly deals with Artificial intelligence, Machine learning, Process, Distributed computing and Cloud computing. Sally McClean combines subjects such as Layer, Computer vision and Natural language processing with her study of Artificial intelligence. Her studies deal with areas such as Preference, Group decision-making, Outlier and Measure as well as Machine learning.
The Process study combines topics in areas such as Event, Risk analysis and Markov model. Her Distributed computing research is multidisciplinary, incorporating perspectives in Quality of service, Network monitoring, Energy and Cloud server. Her work carried out in the field of Markov chain brings together such families of science as Discrete time and continuous time, Process, Data mining and Markov process.
Her primary areas of study are Artificial intelligence, Computer security, Search and rescue, Emergency management and Domain. Her work deals with themes such as Graph database, Information retrieval and Graph based, which intersect with Artificial intelligence. The study incorporates disciplines such as Situation analysis, Enterprise system and Identification in addition to Computer security.
Her Domain course of study focuses on Predictive analytics and Wireless sensor network and Activity recognition. Her Activity recognition study combines topics in areas such as Image processing and Computer vision. Her biological study deals with issues like Data collection, which deal with fields such as Sensor fusion, Automatic identification and data capture and Feature.
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Optimal Placement of Accelerometers for the Detection of Everyday Activities
Ian Cleland;Basel Kikhia;Chris D. Nugent;Andrey Boytsov.
Smart City Architecture and its Applications Based on IoT
Aditya Gaur;Bryan W. Scotney;Gerard P. Parr;Sally I. McClean.
Procedia Computer Science (2015)
A critical look at Lean Thinking in healthcare
T P Young;S I McClean.
Quality & Safety in Health Care (2008)
Evidential fusion of sensor data for activity recognition in smart homes
Xin Hong;Chris Nugent;Maurice Mulvenna;Sally McClean.
Pervasive and Mobile Computing (2009)
A queueing model for bed-occupancy management and planning of hospitals
Florin Gorunescu;Sally I. McClean;Peter H. Millard.
Journal of the Operational Research Society (2002)
A data mining approach to the prediction of corporate failure
Feng Yu Lin;Sally McClean.
Knowledge Based Systems (2001)
Analysing data on lengths of stay of hospital patients using phase‐type distributions
M. J. Faddy;S. I. McClean.
Applied Stochastic Models in Business and Industry (1999)
Using a queueing model to help plan bed allocation in a department of geriatric medicine.
Florin Gorunescu;Sally I McClean;Peter H Millard.
Health Care Management Science (2002)
UAV Position Estimation and Collision Avoidance Using the Extended Kalman Filter
Chunbo Luo;Sally I. McClean;Gerard Parr;Luke Teacy.
IEEE Transactions on Vehicular Technology (2013)
Cache performance models for quality of service compliance in storage clouds
Ernest Sithole;Aaron McConnell;Sally I. McClean;Gerard Parr.
Journal of Cloud Computing (2013)
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