[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

S Rani, A Kataria, S Kumar, P Tiwari - Knowledge-based systems, 2023 - Elsevier
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …

Speckle noise removal by SORAMA segmentation in Digital Image Processing to facilitate precise robotic surgery

R Jayasingh, JK RJS, DB Telagathoti… - International Journal of …, 2022 - igi-global.com
Kidney stones are renal calculi that are formed due to the collection of calcium and uric acid.
The major symptom for the existence of these renal calculi is severe pain, especially when it …

A hybrid deep learning model for predicting molecular subtypes of human breast cancer using multimodal data

T Liu, J Huang, T Liao, R Pu, S Liu, Y Peng - Irbm, 2022 - Elsevier
Background The prediction of breast cancer subtypes plays a key role in the diagnosis and
prognosis of breast cancer. In recent years, deep learning (DL) has shown good …

MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms

I Nissar, S Alam, S Masood, M Kashif - Computer Methods and Programs in …, 2024 - Elsevier
Abstract Background and objective Deep Learning models have emerged as a significant
tool in generating efficient solutions for complex problems including cancer detection, as …

Feasibility of AI and Robotics in Indian Healthcare: A Narrative Analysis

R Joshi, R Badola - … Intelligence and Machine Learning in Drug …, 2024 - Wiley Online Library
In contemporary times, the pivotal significance of robots, artificial intelligence (AI), and
Internet of Things (IoT) technology has fundamentally transformed the healthcare sector …

Novel designs of smart healthcare systems: Technologies, architecture, and applications

A Ilmudeen, A Nayyar - Machine Learning for Critical Internet of Medical …, 2022 - Springer
The ever-growing smart-enabled data-generating technologies in healthcare have been
widely used in the field of biomedical, medical, and pharmaceutical domains. Currently, big …

Lightweight proof of game (lpog): a proof of work (pow)'s extended lightweight consensus algorithm for wearable kidneys

A Kumar, D Kumar Sharma, A Nayyar, S Singh, B Yoon - Sensors, 2020 - mdpi.com
In healthcare, interoperability is widely adopted in the case of cross-departmental or
specialization cases. As the human body demands multiple specialized and cross …

An efficient and authenticated key establishment scheme based on fog computing for healthcare system

X Li, T Chen, Q Cheng, J Ma - Frontiers of Computer Science, 2022 - Springer
Because of its closeness to users, fog computing responds faster than cloud computing.
Thus, it has been deployed to various applications, such as healthcare system. Recently, to …

An enhanced cloud-IoMT-based and machine learning for effective COVID-19 diagnosis system

JB Awotunde, SA Ajagbe, IR Idowu… - Intelligence of things: AI …, 2021 - Springer
The biosphere has been exaggerated adversely with the emerging of the COVID-19 at the
end of 2019. It is anticipated that the present pandemic will be tackle with precautionary …

[图书][B] Artificial Intelligence and machine learning in drug design and development

A Khanna, M El Barachi, S Jain, M Kumar, A Nayyar - 2024 - books.google.com
The book is a comprehensive guide that explores the use of artificial intelligence and
machine learning in drug discovery and development covering a range of topics, including …