Hybrid SFNet model for bone fracture detection and classification using ML/DL

DP Yadav, A Sharma, S Athithan, A Bhola, B Sharma… - Sensors, 2022 - mdpi.com
An expert performs bone fracture diagnosis using an X-ray image manually, which is a time-
consuming process. The development of machine learning (ML), as well as deep learning …

Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images

LK Singh, M Khanna, S Thawkar, R Singh - Multimedia Tools and …, 2023 - Springer
Glaucoma, commonly known as the silent thief of sight, is the second most common cause of
blindness in humans, and the number of cases is steadily increasing. Conventional …

A cloud computing-based modified symbiotic organisms search algorithm (AI) for optimal task scheduling

AA Zubair, SA Razak, MA Ngadi, A Al-Dhaqm… - Sensors, 2022 - mdpi.com
The search algorithm based on symbiotic organisms' interactions is a relatively recent bio-
inspired algorithm of the swarm intelligence field for solving numerical optimization …

Multi-scale feature fusion-based lightweight dual stream transformer for detection of paddy leaf disease

A Kumar, DP Yadav, D Kumar, M Pant… - Environmental Monitoring …, 2023 - Springer
Traditionally, rice leaf disease identification relies on a visual examination of abnormalities
or an analytical result obtained by growing bacteria in the research lab. This method of …

Spectral–Spatial Features Exploitation Using Lightweight HResNeXt Model for Hyperspectral Image Classification

D Prasad Yadav, D Kumar, A Singh Jalal… - Canadian Journal of …, 2023 - Taylor & Francis
Hyperspectral image classification is vital for various remote sensing applications; however,
it remains challenging due to the complex and high-dimensional nature of hyperspectral …

[Retracted] An IoT‐Enabled Intelligent and Secure Manufacturing Model Using Blockchain in Hybrid Cloud Communication System

S Bhattacharyya, S Athithan, S Pal… - Security and …, 2023 - Wiley Online Library
The smart manufacturing system can become a linked network with the help of the Internet of
Things (IoT). Devices connected to the IoT are susceptible to various attacks and assaults …

A hybrid feature pyramid network and Efficient Net-B0-based GIST detection and segmentation from fused CT-PET image.

V Allapakam, Y Karuna - Soft Computing-A Fusion of …, 2023 - search.ebscohost.com
Gastrointestinal stromal tumour (GIST) is the type of tumour that develops in the
gastrointestinal tract and disrupts the digestive system. The two most crucial factors for GIST …

An efficient framework for optic disk segmentation and classification of Glaucoma on fundus images

J Sanghavi, M Kurhekar - Biomedical Signal Processing and Control, 2024 - Elsevier
Abstract Accurately segmenting the Optic Disk is a crucial step in classifying Glaucoma
using Fundus images. Machine learning and artificial intelligence techniques are widely …

Classification and mitigation of ddos attacks based on self-organizing map and support vector machine

AK Shukla, A Sharma - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
The advantage of using the cloud is that it can scale up and down in response to changing
demand. It also provides an environment that can scale up and down immediately in …

Systematic analysis of on-premise and cloud services

A Ali, AA Laghari, IA Kandhro… - … Journal of Cloud …, 2024 - inderscienceonline.com
There are two key distinctions between cloud and on-premise (OP) software, the cost for
each varies and so does the level of control. As organisations explore to reduce costs, many …