Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Nitin Mittal"'
Autor:
Simrandeep Singh, Harbinder Singh, Nitin Mittal, Supreet Singh, S. S. Askar, Ahmad M. Alshamrani, Mohamed Abouhawwash
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-36 (2024)
Abstract Breast cancer is a prevalent disease and the second leading cause of death in women globally. Various imaging techniques, including mammography, ultrasonography, X-ray, and magnetic resonance, are employed for detection. Thermography shows s
Externí odkaz:
https://doaj.org/article/0abd878a787a41289d9c4b79190146b7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract In metropolitan cities, it is very complicated to govern the optimum routes for garbage collection vehicles due to high waste production and very dense population. Furthermore, wrongly designed routes are the source of wasting time, fuel and
Externí odkaz:
https://doaj.org/article/d9d7d3636ae1472bb63399d7b2dfe0ee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Recent research has focused extensively on employing Deep Learning (DL) techniques, particularly Convolutional Neural Networks (CNN), for Speech Emotion Recognition (SER). This study addresses the burgeoning interest in leveraging DL for SER
Externí odkaz:
https://doaj.org/article/c7ddb1360b5248cfb6311015495014d0
Autor:
Priyanshu Singla, Shakuntla Boora, Poonam Singhal, Nitin Mittal, Vikas Mittal, Fikreselam Gared
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Electric vehicles (EVs) have become an attractive alternative to IC engine cars due to the increased interest in lowering the consumption of fossil fuels and pollution. This paper presents the design and simulation of a 4 kW solar power-base
Externí odkaz:
https://doaj.org/article/f1f2fa27efb24c629d1bb9bc3f7fa5ca
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-21 (2024)
Abstract Significant advancements in machine learning algorithms have the potential to aid in the early detection and prevention of cancer, a devastating disease. However, traditional research methods face obstacles, and the amount of cancer-related
Externí odkaz:
https://doaj.org/article/2beccdb30d09498dba976ff3e85162dd
Autor:
R. Uthirasamy, S. Vishnu Kumar, Christo Ananth, Selvaraj David, Shruti Aggarwal, Syed Anas Ansar, Nitin Mittal, Lipika Gupta, Fikreselam Gared
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract A new fifteen-level stepped DC to AC hybrid converter is proposed for Solar Photovoltaic (SPV) applications. A boost chopper circuit is designed and interfaced with the fifteen-level hybrid converters specific to Electric Vehicles’ Brushle
Externí odkaz:
https://doaj.org/article/eafcc9a0634449a3a04238491ee20818
Autor:
B. Uma Maheswari, Dahlia Sam, Nitin Mittal, Abhishek Sharma, Sandeep Kaur, S. S. Askar, Mohamed Abouhawwash
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Chest radiographs are examined in typical clinical settings by competent physicians for tuberculosis diagnosis. However, this procedure is time consuming and subjective. Due to the growing usage of machine learning techniques in applied scie
Externí odkaz:
https://doaj.org/article/cb467dbbea354466937219ee604bf962
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Naked mole-rat algorithm (NMRA) is a swarm intelligence-based algorithm that draws inspiration from the mating behaviour of mole rats (workers and breeders). This approach, which is based on the ability of breeders to reproduce with the quee
Externí odkaz:
https://doaj.org/article/7a16373d86104f9b9b06cb12239e6a6b
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract The accurate prediction of air pollutants, particularly Particulate Matter (PM), is critical to support effective and persuasive air quality management. Numerous variables influence the prediction of PM, and it's crucial to combine the most
Externí odkaz:
https://doaj.org/article/65ade2ab194c44c1ab355f6ec0e2192b
Autor:
Venkatesan Rajinikanth, Roshima Biju, Nitin Mittal, Vikas Mittal, S.S. Askar, Mohamed Abouhawwash
Publikováno v:
Heliyon, Vol 10, Iss 5, Pp e27509- (2024)
Several deep-learning assisted disease assessment schemes (DAS) have been proposed to enhance accurate detection of COVID-19, a critical medical emergency, through the analysis of clinical data. Lung imaging, particularly from CT scans, plays a pivot
Externí odkaz:
https://doaj.org/article/8106537184cf4092ac517be4a456318f