Zobrazeno 1 - 10
of 1 146
pro vyhledávání: '"Mohd Asif"'
Autor:
Tabussam Tufail, Farhan Saeed, Tanazzam Tufail, Huma Bader Ul Ain, Muzzamal Hussain, Sana Noreen, Mohd Asif Shah
Publikováno v:
Food Science & Nutrition, Vol 12, Iss 7, Pp 4944-4951 (2024)
Abstract Cell wall polysaccharides (dietary fiber) in cereal grains contribute to health benefits. The novelty of the current study was an effort to explore the in vivo therapeutic potential of different cereal bran cell walls against hypercholestero
Externí odkaz:
https://doaj.org/article/84ded9aa536c415ba2a6bdc2f0de29c2
Autor:
Gayathri R, Maheswari S, Sandeep Kumar Mathivanan, Basu Dev Shivahare, Radha Raman Chandan, Mohd Asif Shah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract The goal of this research is to create an ensemble deep learning model for Internet of Things (IoT) applications that specifically target remote patient monitoring (RPM) by integrating long short-term memory (LSTM) networks and convolutional
Externí odkaz:
https://doaj.org/article/cf2b80879bca4f67a2ac94924ecdd80c
Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Sleep deprivation is a critical issue that affects workers in numerous industries, including construction. It adversely affects workers and can lead to significant concerns regarding their health, safety, and overall job performance. Several
Externí odkaz:
https://doaj.org/article/7230d1c1dc9a405d8a546ed4216f2708
Publikováno v:
Boundary Value Problems, Vol 2024, Iss 1, Pp 1-20 (2024)
Abstract In this work, we use two unique methodologies, the homotopy perturbation transform method and Yang transform decomposition method, to solve the fractional nonlinear seventh-order Kaup–Kupershmidt (KK) problem. The physical phenomena that a
Externí odkaz:
https://doaj.org/article/f284bab453ca44d8a91ac5136c6fd0d9
Publikováno v:
IET Image Processing, Vol 18, Iss 9, Pp 2449-2460 (2024)
Abstract In automatic facial expression recognition (AFER) systems, modelling the spatio‐temporal feature information in a specific manner, coalescing, and its effective utilization is challenging. The state‐of‐the‐art studies have examined i
Externí odkaz:
https://doaj.org/article/d73b44dc45a34806946616cc0c38025e
Autor:
Mohammed Rafi Shaik, Karthikeyan Kandaswamy, Ajay Guru, Haroon Khan, Jayant Giri, Saurav Mallik, Mohd Asif Shah, Jesu Arockiaraj
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Dental pathogens play a crucial role in oral health issues, including tooth decay, gum disease, and oral infections, and recent research suggests a link between these pathogens and oral cancer initiation and progression. Innovativ
Externí odkaz:
https://doaj.org/article/2af95dd89acd4850b50339a2f57b6942
Autor:
Balamurugan A.G, Saravanan Srinivasan, Preethi D, Monica P, Sandeep Kumar Mathivanan, Mohd Asif Shah
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Diagnosing brain tumors is a complex and time-consuming process that relies heavily on radiologists’ expertise and interpretive skills. However, the advent of deep learning methodologies has revolutionized the field, offering more accurate
Externí odkaz:
https://doaj.org/article/48e07866ce0e4b0eb3e232febda47969
Autor:
Saravanan Srinivasan, Parthasarathy Ramadass, Sandeep Kumar Mathivanan, Karthikeyan Panneer Selvam, Basu Dev Shivahare, Mohd Asif Shah
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Parkinson’s Disease (PD) is a prevalent neurological condition characterized by motor and cognitive impairments, typically manifesting around the age of 50 and presenting symptoms such as gait difficulties and speech impairments. Although
Externí odkaz:
https://doaj.org/article/34d600dcf62d46d3bd827103c532448f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract The dimension and size of data is growing rapidly with the extensive applications of computer science and lab based engineering in daily life. Due to availability of vagueness, later uncertainty, redundancy, irrelevancy, and noise, which imp
Externí odkaz:
https://doaj.org/article/96be4db1a25b48e9843b9a25edbbb829
Publikováno v:
Food Science & Nutrition, Vol 12, Iss 6, Pp 4292-4298 (2024)
Abstract Low‐oxalate diets are useful for treating hyperoxaluria in nephrolithiasis patients. This study was unique in examining how a low‐oxalate diet in addition to a standard diet affected hyperoxaluria and renal function tests in nephrolithia
Externí odkaz:
https://doaj.org/article/306d3a27fbce4d3a8e227715c7f7ad2b