Detecting Drift in Healthcare AI Models
Abstract
In healthcare AI, adaptive models are essential due to evolving data. Drift detection is vital for reliability. Traditional methods rely on immediate labels, but in clinical contexts, this is challenging. Drift detection must adapt to available data: performance-based, structure-based, and data characteristic-based drift detection.
AI-Enhanced Blockchain Framework for Efficient Solar Still Desalination
Abstract
Solar stills are eco-friendly desalination tools, but their efficiency can be enhanced with AI and Blockchain. This project introduces a novel AI-Blockchain framework to optimize solar still performance.
AI-Enhanced Blockchain for Efficient Deregulated Power Supply Management
Abstract
AI and blockchain can revolutionize deregulated power systems. They enhance transparency, security, and efficiency. This project optimizes electricity delivery in deregulated markets using AI and blockchain
Improvising the Energy Consumption at Base Stations in Vehicular Edge Computing Networks
Abstract
MEC and VEC address resource limitations for applications like traffic analysis and autonomous driving. Massive MIMO in 5G boosts efficiency but consumes energy. We need energy-efficient algorithms for VEC networks to reduce Base Station energy consumption and enhance resource allocation.
Farmer Friendly Assistant
Abstract
We propose a software-hardware solution for tracking agricultural activities, including ranching, environmental data (temperature, soil nutrients, humidity, rainfall), and fire detection in villages. Sensor data is collected via GPRS and sent to the cloud, where it's processed by a local panchayat office monitoring system, benefitting farmers.
GreenPC-Power Management for Energy Efficiency
Abstract
The challenge lies in developing a solution that intelligently monitors the usage of peripherals and synchronizes their power state with the primary display, optimizing resource utilization and promoting sustainable workspace practices.
DepthProbe: for Accurate Depth and Radius Estimation of Circular Water Bodies
Abstract
This paper detects abandoned borewells in remote areas using OpenCV and computer vision. Borehole Depth Probes measure depth accurately. The system handles challenges like occlusions and lighting, making it useful in hydrogeological exploration, environmental monitoring, and disaster response planning. It advances automated hole detection and data-driven decision-making for resource management.
Performance analysis of Ground to UAV FSO communication with Energy Harvesting
Abstract
This research explores UAV-based free-space optical (FSO) communication, which offers high bandwidth and connectivity for applications like disaster management and structural inspection. FSO links between UAVs and network nodes can provide fast data rates without 5G interference. However, atmospheric factors can affect FSO performance. The study proposes analytical expressions to calculate harvested energy, aiming to improve FSO link design and energy efficiency, especially in ground-to-UAV FSO communication.
Detecting warehouse objects in manufacturing industries and finding paths to Receive
Abstract
Detecting warehouse objects in manufacturing industries and finding paths to Receive in an Efficient way....
A Framework for Carbon Footprint Estimation, E-Waste Management, and Green Information Systems
Abstract
To propose a methodological framework to estimate carbon footprint of any computational task in standardised and reliable way to contextualize GHG emission. To promote recyclability or biodegradability of defunct product and e-waste. To achieve pollution prevention goal in an organizational context by reducing the power usage of computers and peripherals with green IS with respect to server consolidation.
Solar panel cleaning robotic system
Abstract
Optimizing Solar Panel Efficiency: Automated Cleaning Solutions for Enhanced Performance
The Effects of Algorithms on Eco-Friendly Computing
Blockchain-Powered Green Computing for Secure Medical Data Storage
Abstract
Transforming Healthcare Data Management: Blockchain's Role in Ensuring Security and Sustainability for the Digital Healthcare Landscape.
Blockchain-Enabled E-Waste Management
Abstract
Innovative E-Waste Management: Leveraging Blockchain for Transparent Device Lifecycle Tracking and Responsible Disposal Incentives