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040 _aEG-GiCUC
_beng
_cEG-GiCUC
041 0 _aeng
049 _aDeposite
097 _aM.Sc
099 _aCai01.20.02.M.Sc.2021.La.G
100 0 _aLaila Hussein Zahran
245 1 4 _aGenerating training plans in sports coaching using computational intelligence algorithms /
_cLaila Hussein Zahran ; Supervised Mohamed Saleh , Mohammed Elbeltagy
246 1 5 _aتوليد خطة تدريب فى مجال التدريب الرياضى باستخدام خوارزميات الحساب الذكى
260 _aCairo :
_bLaila Hussein Zahran ,
_c2021
300 _a62 Leaves :
_bcharts ;
_c30cm
502 _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligenceat - Department of Operations Research and Decision Support
520 _aPlanning training sessions is one of the main responsibilities of a sports coach. Coaches watch their athletes during training, identify key aspects of their performance that can be improved and plan training sessions to address the problems that they have observed. Limited work has been proposed and applied to the generation of training plans in an automated and adaptive fashion.There is a great potential for improving the generation of personalized training plans by using machine learning techniques. Recently, many methods and techniques were proposed in theory and practice in order to help athletes in their training regimen. Integrating some of these methods and techniques would result in the generation of automated, adaptive and personalized training plans. In this thesis, we propose a framework for training plan generation in an adaptive and personalized manner for athletes.This framework integrates performance indicators such as training load measures, physiological constraints, and behavior-change features like goal setting and self-monitoring. It provides a training plan, being adopted by the athlete, and its goal adapts to the athlete{u2019}s behavior
530 _aIssued also as CD
653 4 _aComputational intelligence algorithms
653 4 _aGenerating training plans
653 4 _aSports coaching
700 0 _aMohamed Saleh ,
_eSupervisor
700 0 _aMohammed Elbeltagy ,
_eSupervisor
856 _uhttp://172.23.153.220/th.pdf
905 _aNazla
_eRevisor
905 _aShimaa
_eCataloger
942 _2ddc
_cTH
999 _c82452
_d82452