AI-based recommendation model for effective decision to maximise ROI

S Sellamuthu, SA Vaddadi, S Venkata, H Petwal… - Soft Computing, 2023 - Springer
Healthcare researchers have recently concentrated their efforts on new medication
development methodologies that draw on existing pharmacological data. Even while drug …

Enhancing Quality of Experience in Telecommunication Networks: A Review of Frameworks and Machine Learning Algorithms

PHS Panahi, AH Jalilvand, A Diyanat - arXiv preprint arXiv:2404.16787, 2024 - arxiv.org
The Internet service provider industry is currently experiencing intense competition as
companies strive to provide top-notch services to their customers. Providers are introducing …

[HTML][HTML] Awareness among teaching on AI and ML applications based on fuzzy in education sector at USA

N Simhadri, T Swamy - Soft Computing, 2023 - Springer
This paper summarises the level of knowledge held by educators in the United States on the
use of artificial intelligence and machine learning in the classroom. The education industry …

Effectiveness of automated chatbots for operational support and self-service based on fuzzy classifier for ASD

N Simhadri Apparao Polireddi, J Kavitha - Soft Computing, 2023 - Springer
Autism, often known as autism spectrum disorder (ASD), is a broad category of disorders
characterized by challenges with social skills, repetitive activities, speech, and nonverbal …

QoS enhancement in wireless ad hoc networks using resource commutable clustering and scheduling

S Shitharth, H Manoharan, RA Alsowail, A Shankar… - Wireless …, 2023 - Springer
Effective management and control of large-scale networks can be challenging in the
absence of appropriate resource allocation. This paper presents a framework for …

Web accessibility evaluation of private and government websites for people with disabilities through fuzzy classifier in the USA

NSA Polireddi, K Chaitanya - Soft Computing, 2023 - Springer
The impact of technological advancements in construct the web in order to make it
accessible for people with impairments was examined through a retrospective analysis of …

Shift left testing paradigm process implementation for quality of software based on fuzzy

SA Vaddadi, R Thatikonda, A Padthe, PRR Arnepalli - Soft Computing, 2023 - Springer
Traditionally, testing is done first at end of the design phase; however, this is no longer the
case. Testing, finding, and categorising bugs, as well as releasing the development changes …

Towards an SDN-based Dynamic Resource Allocation in 5G Networks

HA Oulahyane, N Eddermoug, A Bakali, M Talea… - Procedia Computer …, 2024 - Elsevier
The rapid evolution of mobile technologies has ushered in a new era of connectivity,
particularly with the advent of the Fifth Generation (5G) technology, which promises low …

[HTML][HTML] A comparative analysis on Relibale routing models in wireless sensor in smart applications

BP Valluri, N Sharma - Measurement: Sensors, 2024 - Elsevier
Researchers are drawn to Wireless Sensor Networks (WSNs) due to its versatility and
possible use cases in a variety of fields, including target tracking and identification …

A machine learning-based normalized fuzzy subset linked model in networks for intrusion detection

S Madhuri, SV Lakshmi - Soft Computing, 2023 - Springer
Network and information security are the most pressing issues in today's world. In any
organization, past and current transactional data are used to determine the future business …