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Akademický článek

Deciphering the cardioprotective effects of statins in anthracycline-related cardiac dysfunction: A systematic review and meta-analysis

Autor: Mubashar Karamat, Bilal Hussain, Munis Mahboob Ahmed, Mohammad Hamza, Junaid Mir, Ayedh Alamri, Aimen Shafiq, Yasar Sattar, Muhammad Zia Khan, Harshith Thyagaturu, Karthik Gonuguntla, Birjesh D Patel

Publikováno v: American Journal of Preventive Cardiology, Vol 20, Iss , Pp 100874- (2024)

Background: Cancer induced chronic inflammation and cancer drugs effects on the vascular system can lead to rapidly progressing atherosclerotic burden. Statins drugs are known to reduce atherosclerotic plaque burden and inflammation. We studied outco

Externí odkaz: https://doaj.org/article/65df04af007d4ead8095cd074beefeb7

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Akademický článek

Classification of defects in wooden structures using pre-trained models of convolutional neural network

Autor: Rana Ehtisham, Waqas Qayyum, Charles V. Camp, Vagelis Plevris, Junaid Mir, Qaiser-uz Zaman Khan, Afaq Ahmad

Publikováno v: Case Studies in Construction Materials, Vol 19, Iss , Pp e02530- (2023)

Wooden structures, over time, are challenged by different types of defects. Due to mechanical and weathering effects, these defects can occur in the form of cracks, live and dead knots, dampness, and others. Because of the risk of damage or complete

Externí odkaz: https://doaj.org/article/d98a2bf2cac8492ca24bcc887418a2e7

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Akademický článek

Predicting characteristics of cracks in concrete structure using convolutional neural network and image processing

Autor: Waqas Qayyum, Rana Ehtisham, Alireza Bahrami, Junaid Mir, Qaiser Uz Zaman Khan, Afaq Ahmad, Yasin Onuralp Özkılıç

Publikováno v: Frontiers in Materials, Vol 10 (2023)

The degradation of infrastructures such as bridges, highways, buildings, and dams has been accelerated due to environmental and loading consequences. The most popular method for inspecting existing concrete structures has been visual inspection. Insp

Externí odkaz: https://doaj.org/article/ac5cad5448d94b419b3eed941ff30fc7

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Akademický článek

Assessment of Convolutional Neural Network Pre-Trained Models for Detection and Orientation of Cracks

Autor: Waqas Qayyum, Rana Ehtisham, Alireza Bahrami, Charles Camp, Junaid Mir, Afaq Ahmad

Publikováno v: Materials, Vol 16, Iss 2, p 826 (2023)

Failure due to cracks is a major structural safety issue for engineering constructions. Human examination is the most common method for detecting crack failure, although it is subjective and time-consuming. Inspection of civil engineering structures

Externí odkaz: https://doaj.org/article/4cfa56af6d6f4bdd83d59e0d14bb9ee8

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Akademický článek

Modelling and analysis of tool wear and surface roughness in hard turning of AISI D2 steel using response surface methodology

Autor: M. Junaid Mir, M. F. Wani

Publikováno v: International Journal of Industrial Engineering Computations, Vol 9, Iss 1, Pp 63-74 (2018)

The present work deals with some machinability studies on tool wear and surface roughness, in finish hard turning of AISI D2 steel using PCBN, Mixed ceramic and coated carbide inserts. The machining experiments are conducted based on the response sur

Externí odkaz: https://doaj.org/article/6758a3056e8144d194ba17dc097291d4

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Akademický článek

Performance evaluation of PCBN, coated carbide and mixed ceramic inserts in finish-turning of AISI D2 steel

Autor: M. Junaid Mir, M.F. Wani

Publikováno v: Jurnal Tribologi, Vol 14, Pp 10-31 (2017)

The present study compares the performance of three different cutting tools, viz., PCBN, mixed ceramic and coated carbide tool in finish turning of hardened D2 tool steel in terms of tool wear, surface roughness, and economic feasibility under dry cu

Externí odkaz: https://doaj.org/article/261c7b51d39049228d0f4d14b309dc67

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