Predicting Landslides and Floods with Deep Learning

PCV Chaganti, K Vasireddy, ER Reddy… - … on Electronics and …, 2023 - ieeexplore.ieee.org
Landslides are destructive natural disasters that have a strong destructive potential. The
field of landslide disaster prevention is built around landslide detection mapping. Land slide …

[HTML][HTML] CAE SynthImgGen: Revolutionizing cancer diagnosis with convolutional autoencoder-based synthetic image generation

S Hangaragi, N Neelima, V Venugopal… - Alexandria Engineering …, 2025 - Elsevier
Medical imaging is pivotal in modern healthcare, offering a visual window into the human
body's intricate structures and functions. However, the scarcity of diverse and representative …

IDP-YOLOV9: Improvement of Object Detection Model in Severe Weather Scenarios from Drone Perspective

J Li, Y Feng, Y Shao, F Liu - Applied Sciences, 2024 - mdpi.com
Despite their proficiency with typical environmental datasets, deep learning-based object
detection algorithms struggle when faced with diverse adverse weather conditions …

Designing a Wearable Jacket for the Visually Impaired People

R Anand, RV Vardhan, KJ Kalyan… - 2022 6th International …, 2022 - ieeexplore.ieee.org
One of the most crucial components of each living thing is sight. It enables one to see what is
in their environment, including vital items like paths, barriers, and other things. But consider …

A cross layer graphical neural network based convolutional neural network framework for image dehazing

M Pavethra, M Uma Devi - Automatika, 2024 - Taylor & Francis
The current version of imaging equipment cannot quickly and effectively make up for the
reduction of visibility triggered by bad weather. Traditional strategies minimize hazy impacts …

Advanced UAV Construction Technique and Real-Time Image Processing for Enhanced Aerial Intelligence

PCV Chaganti, S Syama - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Keeping a record of catastrophes is critical in order to mitigate their consequences, as well
as the harm they do to the living world and inhabitants; unmanned aerial vehicles (UAVs) …

Enhancing Image Dehazing Efficiency with Dual Colour Space Attentional Deep Networks

AM Ashwini, AG AB, N Sridevi, N Krishna… - … Journal of Sensors …, 2024 - benthamdirect.com
Aims and Background Image dehazing is an essential task in computer-vision, aimed at
enhancing the clarity and visibility of images degraded by fog and haze. Traditional methods …

Multi-scale-based Network for Image Dehazing

C Araji, A Zahra, L Alinsari, M Al-Aloosi… - 2023 International …, 2023 - ieeexplore.ieee.org
Image and video dehazing is a difficult subject that has received a lot of attention in the field
of computer vision. The presence of air haze in photos and movies can reduce visual quality …

Detection of Autism Spectrum Disorder using Deep Learning Models

K Chakradhar, KT Tharun, PSK Reddy… - … and Informatics (ICICI …, 2024 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a serious developmental disorder that involves problems
with social interaction and communication, as well as repetitive behavior. Early diagnosis …

Single Image Dehazing Using Multi-Scale DCP-BCP Fusion

S Nair, S Menon, M Karlekar… - … in Intelligent Control …, 2022 - ieeexplore.ieee.org
Dehazing involves finding the solution to an ill-posed problem. Improvement to the
traditional prior based dehazing method has been introduced here. Considering the pivotal …