Optimizing energy efficiency in wireless sensor networks: A review of cluster head selection techniques

P Suraj - International Journal of Trend in Scientific Research …, 2022 - eprints.umsida.ac.id
A wireless sensor network (WSN) in its simplest form can be defined as a network of
(possibly low-size and less complex) devices which are denoted as nodes that can sense …

Performance analysis of speech enhancement using LMS, NLMS and UNANR algorithms

P Gupta, M Patidar, P Nema - 2015 International conference on …, 2015 - ieeexplore.ieee.org
The speech enhancement is one of the effective techniques to solve speech degraded by
noise, that the speech recognitions performance in noisy environment should be …

Speech background noise removal using different linear filtering techniques

M Haque, K Bhattacharyya - … of International Conference on ICACCP 2017 …, 2018 - Springer
Speech signal quality and its intelligibility degrade when it is mixed with the noise and it
becomes hard to extract the original information contained in the signal. Hence, it is very …

Automatic Speech Recognition Design Modeling

K Babu Rao, B Mopuru, M Jawarneh… - Conversational …, 2024 - Wiley Online Library
The term “automatic speech recognition” refers to the procedure by which an auditory signal
of spoken words can be converted into text. Voice recognition is another term that may be …

Teaching climate change through blended learning: a case study in a private secondary school in Mauritius

T Gomes, S Panchoo - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Teaching Climate Change's concepts are hard and challenging to impress in the minds of
adolescent learners in a traditional classroom environment. Designing appropriate …

An Overview of Cloud Computing Impact on Smart City Development and Management

P Suraj - International Journal of Trend in Scientific Research …, 2024 - eprints.umsida.ac.id
The concept of smart cities has gained considerable attention in recent years due to its
potential to address urban challenges such as population growth, resource management …

Crowd Density Estimation Using Deep Learning: A Convolutional Neural Network Approach for Real-time Monitoring

K Khushi, S Jagriti - International Journal of Trend in Scientific …, 2024 - eprints.umsida.ac.id
Crowd density estimation is an essential aspect of public safety, urban management, and
event monitoring. The emergence of deep learning techniques has revolutionized this …

SYNERGIZING ROBOTICS AND ARTIFICIAL INTELLIGENCE: TRANSFORMING MANUFACTURING AND AUTOMATION FOR INDUSTRY 5.0

P Suraj - Synergy: Cross-Disciplinary Journal of Digital …, 2024 - eprints.umsida.ac.id
Advanced robotics and artificial intelligence (AI) are at the forefront of the transformation in
manufacturing and automation. This paper delves into the integration of AI and robotics …

[PDF][PDF] Advance Electric Vehicle System for Minimization of Wiring Harness Using Iov

R Yadav, UBS Chandrawat - pdfs.semanticscholar.org
The rapid growth of the electric vehicle (EV) market demands innovative solutions to
optimize vehicle design, improve efficiency, and enhance user experience. Traditional …

Deep Learning-Based Predictive Analytics for Personalized Healthcare

T Mayur Kalubhai - International Journal of Trend in Scientific …, 2022 - eprints.umsida.ac.id
This paper introduces a novel deep learning-based predictive analytics framework aimed at
transforming personalized healthcare. By leveraging diverse data sources, including …