Optimized Operation Management With Predicted Filling Levels of the Litter Bins for a Fleet of Autonomous Urban Service Robots

A Pollak, A Gupta, D Göhlich - IEEE Access, 2024 - ieeexplore.ieee.org
Autonomous smart waste management services are becoming an essential component of
sustainable urbanization. However, the lack of data and insights from current service …

Improving classification of retinal fundus image using flow dynamics optimized deep learning methods

V Banupriya, S Anusuya - arXiv preprint arXiv:2305.00294, 2023 - arxiv.org
Diabetic Retinopathy (DR) refers to a barrier that takes place in diabetes mellitus damaging
the blood vessel network present in the retina. This may endanger the subjects' vision if they …

Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm

P Kalaiselvi, S Anusuya - arXiv preprint arXiv:2311.11520, 2023 - arxiv.org
In recent days, Deep Learning (DL) techniques have become an emerging transformation in
the field of machine learning, artificial intelligence, computer vision, and so on …

Black Box Testing Design Intended for Vehicle Surveillance and Tracking

NJ Kumar, SMU Sankar, BM Kumar… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
Automobiles are in crucial position nowadays, different vehicles are involved in accidents,
which frequently end in fatalities. The populace has always needed protection and safety. In …

Volume Determination Challenges in Waste Sorting Facilities: Observations and Strategies

T Maus, N Zengeler, D Sänger, T Glasmachers - Sensors, 2024 - mdpi.com
In this case study on volume determination in waste sorting facilities, we evaluate the
effectiveness of ultrasonic sensors and address waste-material-specific challenges …

Forecasting Pre-Owned Car Prices Using Machine Learning

CL Lasya, S Pooja, S Jeyashree… - … and Systems for …, 2023 - ieeexplore.ieee.org
Over 70 million passenger cars were produced in 2016 shows that automotive
manufacturing has been steadily rising during the previous ten years. As a result, the market …

IoT-Based Environmental Control System for Fish Farms with Sensor Integration and Machine Learning Decision Support

D Dhinakaran, S Gopalakrishnan… - arXiv preprint arXiv …, 2023 - arxiv.org
In response to the burgeoning global demand for seafood and the challenges of managing
fish farms, we introduce an innovative IoT based environmental control system that …

Optimized Machine Learning for CHD Detection using 3D CNN-based Segmentation, Transfer Learning and Adagrad Optimization

R Selvaraj, T Satheesh, V Suresh… - arXiv preprint arXiv …, 2023 - arxiv.org
Globally, Coronary Heart Disease (CHD) is one of the main causes of death. Early detection
of CHD can improve patient outcomes and reduce mortality rates. We propose a novel …

Prototype of Plant Disease Detection Using IoT

CC Deboral, C Ambhika, P Nivetha… - … on Innovative Data …, 2023 - ieeexplore.ieee.org
Three-fourths of the people in India are employed in agriculture. Farmers will cultivate a
range of plants in the fields depending on the environment and other resources at their …

Exploring Novel CNN Architectures for Deep Learning-Based Liver Tumor Occurrence Prediction

P Kalaiselvi, S Anusuya, A Kumaravel… - … and Control for …, 2023 - ieeexplore.ieee.org
According to the authorized findings of,” Hepatocellular carcinoma (HCC)” a common in the
human species, liver located, tumor, 90% of its occurrences demand any sort of support for …