Quantum Computing in Healthcare Using AI-Driven Medical Technologies DOI

U. V. Anbazhagu,

K. Priyadharshini,

S. Deepajothi

et al.

Advances in computer and electrical engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 367 - 398

Published: Dec. 13, 2024

Quantum computing with AI-driven medical technologies represents an absolute frontier of transformation in precision medicine, diagnostics, and drug discovery. This chapter explores the intersection quantum artificial intelligence transforming complex challenges, namely big data analysis, acceleration molecular simulations, personalizing treatment plans. algorithms can scale exponentially beyond AI's capabilities breakthrough genomic radiological interpretation, predictive modeling for patient outcomes. The focus will be on state-of-the-art achievements machine learning, possible applications healthcare areas, their future prospects revolutionizing imaging, optimization clinical trials, real-time processing wearable devices. They confront computational limits classical systems offer new ground significant progress both research health care delivery by solving problems that have until now been intractable.

Language: Английский

Exploring the Role of 6G Technology in Smart Healthcare Systems DOI
Sajja Suneel,

K. Manjula,

B Sowmya

et al.

Published: Nov. 1, 2024

Sixth generation (6G) technology is expected to have a significant impact on several businesses and their goods, particularly in the healthcare sector from 2030. Although fifth (5G) has not yet been thoroughly investigated for commercialization, researchers begun envision, plan, investigate needs of 6G. The industry future will be powered by AI 6G aim overcome current system's space time constraints. It looked like would game-changer industry. This view suggests that communication may usher new age future. A wide variety business models, including intellectual wearable tools, Internet Medical Things (IoMT), hospital-to-home (H2M) services, developed improve people's daily lives beyond scope 4.0. solution severe network smart treatments, which should minimum end-to-end latency 1 millisecond (ms) high service dependability 99.999%. Achieving such level performance without its difficulties. We covered these problems remedies this chapter. In addition, telesurgery, epidemics, pandemics are only few scenarios where considered.

Language: Английский

Citations

0

A Quantum LSTM-based approach to cyber threat detection in virtual environment DOI
Sarvapriya Tripathi, Himanshu Upadhyay, Jayesh Soni

et al.

The Journal of Supercomputing, Journal Year: 2024, Volume and Issue: 81(1)

Published: Nov. 7, 2024

Language: Английский

Citations

0

Managing 5G IOT Network Operations and Safety Using Deep Learning and Attention Methods DOI
Allam Balaram,

TDNSS. Sarveswara Rao,

Lakshmana Phaneendra Maguluri

et al.

Wireless Personal Communications, Journal Year: 2024, Volume and Issue: unknown

Published: May 28, 2024

Language: Английский

Citations

0

Internet of Things Assisted Human Detection and Rescue Robot: A Game Changer in the Disaster Environment DOI

Md Jawed Akhtar,

Manmohan Singh,

Sajja Suneel

et al.

2022 International Conference on Inventive Computation Technologies (ICICT), Journal Year: 2024, Volume and Issue: unknown

Published: April 24, 2024

In the realm of disaster response, integration Internet Things (IoT) technologies has paved way for innovative solutions to enhance human detection and rescue operations. This research work introduces a revolutionary approach through development Challenging Human Detection Rescue Robot (CHDRR). robot incorporates advanced sensors, including MQ6 Gas Sensor, LM335 Temperature Humidity Passive Infrared (PIR) Body sensor, collectively forming comprehensive sensory suite. The CHDRR leverages power IoT enable real-time data collection, analysis, communication, transforming response capabilities. Sensor ensures hazardous gases in environment, providing crucial information safe contribute environmental monitoring, allowing adapt its strategies based on prevailing conditions. PIR sensor serves as key element CHDRR's Through sophisticated algorithms machine learning, can identify locate presence amidst challenging scenarios. fusion these sensors with technology empowers make informed decisions autonomously, optimizing efficiency dynamically changing environments.

Language: Английский

Citations

0

Integrating Remote Sensing and GIS Techniques for Effective Wildfire Risk Mapping and Management DOI
Janjhyam Venkata Naga Ramesh, Sajja Suneel,

Jyoti Dhanke

et al.

Remote Sensing in Earth Systems Sciences, Journal Year: 2024, Volume and Issue: 7(4), P. 271 - 282

Published: Aug. 28, 2024

Language: Английский

Citations

0

IIoTHRT: Experimental Analysis of Heart Rate Tracking Methodology Using Intelligent Sensors and Internet of Things Assistance DOI

P. Pakutharivu,

P. Mahalakshmi,

Bhushan P. Saoji

et al.

Published: July 10, 2024

Language: Английский

Citations

0

Endoscopic Image Processing: Evaluating the Robustness of Deep Neural Networks DOI
Challa Babu, K. Suresh Babu, Sajja Suneel

et al.

Published: Sept. 18, 2024

Language: Английский

Citations

0

Quantum Computing in Healthcare Using AI-Driven Medical Technologies DOI

U. V. Anbazhagu,

K. Priyadharshini,

S. Deepajothi

et al.

Advances in computer and electrical engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 367 - 398

Published: Dec. 13, 2024

Quantum computing with AI-driven medical technologies represents an absolute frontier of transformation in precision medicine, diagnostics, and drug discovery. This chapter explores the intersection quantum artificial intelligence transforming complex challenges, namely big data analysis, acceleration molecular simulations, personalizing treatment plans. algorithms can scale exponentially beyond AI's capabilities breakthrough genomic radiological interpretation, predictive modeling for patient outcomes. The focus will be on state-of-the-art achievements machine learning, possible applications healthcare areas, their future prospects revolutionizing imaging, optimization clinical trials, real-time processing wearable devices. They confront computational limits classical systems offer new ground significant progress both research health care delivery by solving problems that have until now been intractable.

Language: Английский

Citations

0