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FFM: A Muscle Fatigue Index Extraction by Utilizing Fuzzy Network and Mean Power Frequency

By: اسامة جاسم نعيم خلاف الاسدي

University: University of Basrah, College: الهندسة, Department: هندسة المواد
On the Use of Acoustic Emission and Digital Image Correlation for Welded Joints Damage Characterization

By: صفاء خيري جعاز - -

University: University of Basrah, College: الهندسة, Department: هندسة المواد
Estimation of Failure Temperature in the Riser Tubes of Boiler Furnaces

By: د. حيدر معاذ محمد - -

University: University of Basrah, College: الهندسة, Department: هندسة المواد
Study of Failure of the Steam Tubes of Boiler Furnaces in Najebia Power Plant

By: د. حيدر معاذ محمد - -

University: University of Basrah, College: الهندسة, Department: هندسة المواد
Artificial Neural Network Prediction Model for Impact Energy of Thermal Aged Cast Stainless Steel

By: د. حيدر معاذ محمد - -

University: University of Basrah, College: الهندسة, Department: هندسة المواد
Study the Effect of Seawater Environments and Surface Roughness on Uniform Corrosion Rate of Carbon Steel Using Neural Network Modelling

By: د. حيدر معاذ محمد - -

University: University of Basrah, College: الهندسة, Department: هندسة المواد
Prediction of Pitting Corrosion Characteristics Using Artificial Neural Network

By: د. حيدر معاذ محمد - -

University: University of Basrah, College: الهندسة, Department: هندسة المواد
Empirical Modelling for Prediction of Work piece Surface Roughness and Cutting Tool Temperature in Turning Carbon Steel

By: د. حيدر معاذ محمد - -

University: University of Basrah, College: الهندسة, Department: هندسة المواد
Empirical Modelling for Prediction of Work piece Surface Roughness and Cutting Tool Temperature in Turning Carbon Steel

By: د. حيدر معاذ محمد - -

University: University of Basrah, College: الهندسة, Department: هندسة المواد
Empirical Modelling for Prediction of Work piece Surface Roughness and Cutting Tool Temperature in Turning Carbon Steel

By: د. حيدر معاذ محمد - -

University: University of Basrah, College: الهندسة, Department: هندسة المواد

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