IoT-Driven Image Recognition for Microplastic Analysis in Water Systems using Convolutional Neural Networks

MDA Hasan, K Balasubadra, G Vadivel… - … and Control (IC4), 2024 - ieeexplore.ieee.org
Microplastic pollution in water systems is growing, requiring novel detection and analysis
methods. This research presents an Internet of Things (IoT)-driven image identification …

Optimizing Electric Vehicle Charging Networks Using Clustering Technique

V Srividhya, S Gowriswari, NV Antony… - … and Control (IC4), 2024 - ieeexplore.ieee.org
The increasing use of electric vehicles (EVs) highlights the need of a designed effectively
charging network. This paper presents a novel way for EV charging by establishing a smart …

IoT-Enabled Sleep Monitoring Wearables: Advancements in Tracking and Analysis

K Thinakaran, VV Baskar, MA Shariff… - … and Control (IC4), 2024 - ieeexplore.ieee.org
The importance of sleep to a person's health and well-being cannot be overstated. Sleep
monitoring and analysis control has been transformed by the combination of Internet of …

Role of Artificial Intelligence and Technologies in Improving Ocean Health in Promoting Tourism

BK Roy - Artificial Intelligence and Edge Computing for …, 2024 - Springer
This chapter examines how artificial intelligence (AI) alongside other cutting-edge
technologies can protect the marine environment while simultaneously fostering responsible …

Partitionable Task Offloading for Intelligent Ship-assisted Maritime Edge Computing Networks

S Qi, B Lin, X Zhang, L Yang - 2024 IEEE/CIC International …, 2024 - ieeexplore.ieee.org
Camera-equipped unmanned aerial vehicles (UAVs) can provide instant maritime visual
data, playing a crucial role in maritime safety, environmental monitoring, and resource …

A Gradient Boosting Algorithm to Predict Energy Consumption for Home Applications

VG Sivakumar, N Arunfred, N Anusha… - … and Control (IC4), 2024 - ieeexplore.ieee.org
Energy-efficient solutions are in high demand in today's fast-developing technological
environment, necessitating the use of sophisticated predictive modeling methods …

IoT-Driven SVM Prediction of Oceanographic Data Analytics for Marine Pollution Dispersal Patterns

PS Juliet, J Nithisha, V Sridevi… - 2024 Third …, 2024 - ieeexplore.ieee.org
To effectively manage marine pollution, it is crucial to have a thorough knowledge of how it
spreads. This will allow for early interventions to reduce its negative effects on ecosystems …

IoT and Cloud-based Solutions for Energy-Efficient Restroom Lighting Systems

KV Manthena, J Visumathi… - 2024 4th …, 2024 - ieeexplore.ieee.org
This research study introduces a new way to improve the energy efficiency of restroom
lighting systems by combining cloud-based solutions with Internet of Things (IoT) …

Evaluating Obesity and Metabolic Syndrome Risk: A Cloud-Driven Logistic Regression Framework

K Saravanan, S Prabagar, SR Choudri… - … and Control (IC4), 2024 - ieeexplore.ieee.org
Worldwide, people are struggling with obesity and metabolic syndrome. For successful
preventative interventions, it is necessary to predict and evaluate the risk factors linked to …

Analysis of Wireless Communication Technologies for use in Maritime IoT

Đ Nešković, Z Čiča, D Drajić, L Kašca… - 2024 32nd …, 2024 - ieeexplore.ieee.org
Maritime IoT (Internet of Things) systems depend on robust communication techniques to
ensure seamless data exchange and connectivity at sea. Effective design needs to consider …