Trajectories Generation for Unmanned Aerial Vehicles Based on Obstacle Avoidance Located by a Visual Sensing System

LF Muñoz Mendoza, G García-Torales, C Acosta Lúa… - Mathematics, 2023 - mdpi.com
In this work, vectorial trajectories for unmanned aerial vehicles are completed based on a
new algorithm named trajectory generation based on object avoidance (TGBOA), which is …

Automated Identification of Pneumonia Employing Convolution Neural Networks and the VGG-16 Model

A Srivastava, A Gupta, D Kaushik… - 2024 International …, 2024 - ieeexplore.ieee.org
Pneumonia, an inflammatory lung disease, impacts the small air sacs known as alveoli and
is typically caused by the bacteria Streptococcus pneumonia. Symptoms commonly include …

Damage Evaluation Following Natural Disasters Using Deep Learning

N Gupta, S Chadha, R Chauhan, P Singhal - International Advanced …, 2023 - Springer
Natural catastrophes including flooding, tornadoes, earthquakes, and wildfires have been
occurring more frequently over the past few decades as a result of global warming and …

ACADEMIC PERFORMANCE OF SOUTH INDIAN UNDERGRADUATE STUDENTSIN RELATION TO THEIR ACHIEVEMENT MOTIVATION, COGNITIVE STYLE AND …

D Retnamma, S Babu - Journal of Higher Education Theory and …, 2024 - johetap.com
Over the years, researchers are interested in studying empirically, the character of student's
personal characteristics and mental processes underlying their learning and Academic …

ENHANCED NOISE FILTERING AND SEGMENTATION USING HCLAHE AND ADF WITH GACT TO IDENTIFY TUMOR CELLS

S Priya, DDV Radha - Journal of Data Acquisition and Processing, 2024 - sjciycl.cn
The segmentation of mammogram images is an essential component in breast cancer early
detection. Accurate segmentation is still difficult to achieve because of the mammography …

Flood Prediction And Rainfall Analysis Using LightGradient Boosted Machine

S Chadha, R Chauhan, N Gupta - NeuroQuantology, 2022 - search.proquest.com
Floods are among the most destructive, most devastating natural disasters complex to
model. Research into the development of flood prediction models contribute to risk …

[PDF][PDF] Cybersecurity in Autonomous Vehicles: Integrating Machine Learning and Blockchain for Threat Mitigation

S Chebyshev, O Taylor - researchgate.net
As autonomous vehicles become more prevalent, ensuring their cybersecurity is critical to
safeguarding public safety and privacy. This paper explores a dual approach that combines …

[PDF][PDF] COMBATING DDOS ATTACKS IN CLOUD COMPUTING: A FUSION OF GAME THEORY AND MACHINE LEARNING

O KOVALEVSKAYA, MM VON NEUMANN - researchgate.net
Distributed Denial of Service (DDoS) attacks pose a significant threat to cloud computing
services, affecting availability and reliability. This paper presents a novel approach that …

[PDF][PDF] AI-DRIVEN PREDICTIVE ANALYTICS IN SMART CITIES: ENHANCING INFRASTRUCTURE RESILIENCE THROUGH BIG DATA AND IOT

H SHANNON, Q FERMAT - researchgate.net
The rapid urbanization and increasing complexity of urban infrastructures demand
innovative solutions for enhancing resilience in smart cities. This paper examines the role of …

[PDF][PDF] BLOCKCHAIN-ENABLED SECURE VOTING SYSTEMS: A CRYPTOGRAPHY AND CYBERSECURITY PERSPECTIVE

GR JORDAN, L VON NEUMANN - researchgate.net
The integrity of electoral processes is vital for democratic governance, yet traditional voting
systems face significant security vulnerabilities. This paper explores the potential of …