Výsledky vyhledávání - "Ramdas Vankdothu"

Akademický článek

Moving object detection using modified GMM based background subtraction

Autor: S. Rakesh, Nagaratna P. Hegde, M. Venu Gopalachari, D. Jayaram, Bhukya Madhu, Mohd Abdul Hameed, Ramdas Vankdothu, L.K. Suresh Kumar

Publikováno v: Measurement: Sensors, Vol 30, Iss , Pp 100898- (2023)

Academics have become increasingly interested in creating cutting-edge technologies to enhance Intelligent Video Surveillance (IVS) performance in terms of accuracy, speed, complexity, and deployment. It has been noted that precise object detection i

Externí odkaz: https://doaj.org/article/9e6287f257b64d25a4e15d82bf96023b

Zobrazit plný text záznamu

Akademický článek

Intrusion detection models for IOT networks via deep learning approaches

Autor: Bhukya Madhu, M. Venu Gopala Chari, Ramdas Vankdothu, Arun Kumar Silivery, Veerender Aerranagula

Publikováno v: Measurement: Sensors, Vol 25, Iss , Pp 100641- (2023)

The Internet of things (IoT) has gained more attention in recent years because of its ubiquitous operations, connectivity, methods of communication, and intelligent decisions to evoke activities from various devices. Therefore, artificial intelligenc

Externí odkaz: https://doaj.org/article/e6213fa0f73e49c5bfbbfb71480adbc8

Zobrazit plný text záznamu

Akademický článek

COVID-19 detection and classification for machine learning methods using human genomic data

Autor: Mohd Thousif Ahemad, Mohd Abdul Hameed, Ramdas Vankdothu

Publikováno v: Measurement: Sensors, Vol 24, Iss , Pp 100537- (2022)

Coronavirus is a disease connected to coronavirus. World Health Organization has declared COVID-19 a pandemic. It has an impact on 212 nations and territories worldwide. Examining and identifying patterns in X-Ray pictures of the lungs is still neces

Externí odkaz: https://doaj.org/article/02521734a2d74435a810a4ce617ada8e

Zobrazit plný text záznamu

Akademický článek

Brain tumor segmentation of MR images using SVM and fuzzy classifier in machine learning

Autor: Ramdas Vankdothu, Mohd Abdul Hameed

Publikováno v: Measurement: Sensors, Vol 24, Iss , Pp 100440- (2022)

Medical image processing is a rapidly growing and concentrating topic today. Medical image analysis techniques are used to diagnose and cure illnesses. One such fundamental and potentially fatal illness is brain tumor, which is an abnormal growth of

Externí odkaz: https://doaj.org/article/552e66eb1b5f4dc78e07d95f49c3805f

Zobrazit plný text záznamu

Akademický článek

Brain tumor MRI images identification and classification based on the recurrent convolutional neural network

Autor: Ramdas Vankdothu, Mohd Abdul Hameed

Publikováno v: Measurement: Sensors, Vol 24, Iss , Pp 100412- (2022)

Brain tumor detection and analysis are necessary for any indicative system and have testified that exhaustive research and procedural development over time. This work needs to implement an effective automated system to improve the accuracy of tumor d

Externí odkaz: https://doaj.org/article/72da615d0dba45deb0fdce4dfb93544d

Zobrazit plný text záznamu

Akademický článek

WITHDRAWN: Image compression of brain MRI images using an autoencoder and restricted Boltzmann machine

Autor: Ramdas Vankdothu, Mohd Abdul Hameed

Publikováno v: Neuroscience Informatics, Vol 2, Iss 3, Pp 100084- (2022)

This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause.The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/our-business/po

Externí odkaz: https://doaj.org/article/a3d99059d1134937b308db5b24249765

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání