Computational Spirometer Using Arduino Nano Application: Smart Spirometer Module

RK Kanna, R Raja, V Keerthana… - … with Cutting-Edge …, 2024 - igi-global.com
Spirometer is a pulmonary function test that assesses the strength of our lungs to measure
the maximum amount of air that is breathed in and out. During physical therapy, spirometers …

A Development of Dynamic End-To-End Slicing Network Along with the Offline SLA-Method Integrated with Deep Learning for 5G/6G Networks

A Khalid, RG Anand, A Malviya - 2024 1st International …, 2024 - ieeexplore.ieee.org
Using SDN, or software-defined networking, and Network Function Virtualization, or (NFV),
we address the problem of resource provisioning in fifth-generation (5G) networks to enable …

Classification of Drone Detection Module using Hybrid Learning Algorithms

RK Kanna, K Joshi, M Aeri, FR Menezes… - 2024 4th …, 2024 - ieeexplore.ieee.org
Drones have grown in popularity due to their widespread use in many applications from
research and surveys to logistics and entertainment, but the widespread use of drones also …

A Fuzzy Logic Based (FLB) Hybrid Level of Approach in the Evaluation of Security Impact in Healthcare Type of Web Applications for Secure Informations

A Arthi, DN Sahu - 2024 1st International Conference on …, 2024 - ieeexplore.ieee.org
The persistent breaches of private medical information in the healthcare sector provide a
significant obstacle for companies operating in the sector. In addition to protecting sensitive …

A Deep Assessmen of Smart Logistics Kind of Parks with the Fog Based and Enabled Sensor Cloud Type Platforms

S Yadav, A Gupta, D Preethi - 2024 1st International …, 2024 - ieeexplore.ieee.org
The purpose of this research is to compare, in the environment of a clever logistics park, the
effectiveness of fog-enabled sensor clouds (FSC) with traditional cloud computing with fog …

An Innovative Way of Resource Allocation Methods in 6G Networks in Cybertown Healthcare Systems with Fuzzy Neuro Models

S Patil, A Chaudhary, BS Sahana - 2024 1st International …, 2024 - ieeexplore.ieee.org
Machine learning models are essential for enabling smart resource allocation decisions in
healthcare systems within the framework of 6G edge networks of communications. But …

A Dynamic Pricing Method with LoRa Technique in Smart Parking Systems Along with the Edge-Cloud Based Computing

B Singh, R Kumar, SS Neetha - 2024 1st International …, 2024 - ieeexplore.ieee.org
The increasing quantity of automobiles on the road these days has resulted in chronic traffic
jams and difficulties with urban traffic control. Increased traffic bottlenecks are mostly caused …

Blockchain-Enhanced Neural Networks for Secure IoT and 5G in Smart Cities

M Akkur, S Deepak - 2024 1st International Conference on …, 2024 - ieeexplore.ieee.org
Significantly faster Wifi speeds, low latency, and extensive interior and outdoor coverage
with Smart Cities are among anticipated benefits of 5G technology. With its smooth radio …

A Way to Deduct the Attacks which is Anomaly in Nature in 5G Networks with the Use of Machine Learning

A Joshi, KL Maney, S Loonkar - 2024 1st International …, 2024 - ieeexplore.ieee.org
A formidable task arises in addressing the constantly evolving challenges brought about by
the growing threats to cybersecurity, the expanded attack surfaces brought about by the …

An Efficient Edge Based Resource Scaling Method in Next-Generation Networks in Inntegration With Distributed NN

A Malviya, S Umrao - 2024 1st International Conference on …, 2024 - ieeexplore.ieee.org
Among the key concepts for 5G+ networks is “network slicing,” in which operators partition
specific areas of physical resources from the connectivity edge to data centers. The …