Deployment optimization algorithms in wireless sensor networks for smart cities: A systematic mapping study

HM Abdulwahid, A Mishra - Sensors, 2022 - mdpi.com
In recent years, different types of monitoring systems have been designed for various
applications, in order to turn the urban environments into smart cities. Most of these systems …

[HTML][HTML] Exploiting geospatial data of connectivity and urban infrastructure for efficient positioning of emergency detection units in smart cities

JPJ Peixoto, JCN Bittencourt, TC Jesus… - … Environment and Urban …, 2024 - Elsevier
The detection of critical situations through the adoption of multi-sensor Emergency Detection
Units (EDUs) can significantly reduce the time between the initial stages of urban …

Multi-objective discrete harmony search algorithm for privacy preservation in cloud data centers

S Attuluri, M Ramesh - International Journal of Information Technology, 2023 - Springer
Cloud security has risen due to data controllers harvesting more sensitive and personal
data. Repeated data breaches need enhanced legislative data protection limits. Much …

[PDF][PDF] Effect of number of nodes and distance between communicating nodes on WSN characteristics

MZ Iskandarani - environments, 2022 - researchgate.net
Wireless Sensor Networks (WSNs) are increasingly used in many applications. However,
issues like topology, routing, energy, nodes distribution and density, and connection …

Detection of Sarcasm Using Bi-Directional RNN Based Deep Learning Model in Sentiment Analysis

MM Krishna, J Vankara - Journal of Advanced Research in …, 2023 - semarakilmu.com.my
Detecting sarcasm in text can be challenging, but it's an opportunity to exercise the ability to
consider various perspectives and aspects. Considering multiple viewpoints while analysing …

Fuzzy Based Image Edge Detection Using Improved Artificial Bee Colony Optimization Algorithm

A Verma, N Dhanda, V Yadav - … Conference on Data Analytics and Insights, 2023 - Springer
The goal of evolutionary algorithms (EAs) is to eliminate solutions with the least fitness in
order to identify the best one. This study offers an evolution-based edge identification …

Multi-Level Image Thresholding Using Improvised Cuckoo Search Optimization Algorithm

RR Budaraju, OS Nagesh - 2023 3rd International Conference …, 2023 - ieeexplore.ieee.org
With reference to image processing, segmentation is an essential step. It includes filtering
the pixels into two or more categories based on their brightness levels relative to a …