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Trajectories Generation for Unmanned Aerial Vehicles Based on Obstacle Avoidance Located by a Visual Sensing System
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 …
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 …
is typically caused by the bacteria Streptococcus pneumonia. Symptoms commonly include …
Damage Evaluation Following Natural Disasters Using Deep Learning
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 …
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 …
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 …
detection. Accurate segmentation is still difficult to achieve because of the mammography …
Flood Prediction And Rainfall Analysis Using LightGradient Boosted Machine
Floods are among the most destructive, most devastating natural disasters complex to
model. Research into the development of flood prediction models contribute to risk …
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 …
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 …
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 …
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 …
systems face significant security vulnerabilities. This paper explores the potential of …