Deep neural network heuristic hierarchization for cooperative intelligent transportation fleet management

Q Ke, J Siłka, M Wieczorek, Z Bai… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we propose malfunction classifications for trucks, a novel idea for smart fleet
management systems. In the proposed cooperative cooperative intelligent transportation (C …

An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles

A Thakur, SK Mishra - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delivers an exhaustive analysis of the fusion of multi-sensor technologies,
including traditional sensors such as cameras, Light Detection and Ranging (LiDAR), Radio …

[HTML][HTML] A path planning method with perception optimization based on sky scanning for UAVs

S Yuan, K Ota, M Dong, J Zhao - Sensors, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) are frequently adopted in disaster management. The
vision they provide is extremely valuable for rescuers. However, they face severe problems …

Experimental evaluation of tire tread wear detection using machine learning in real-road driving conditions

JY Han, JH Kwon, S Lee, KC Lee, HJ Kim - IEEE Access, 2023 - ieeexplore.ieee.org
The accurate detection of tire tread wear plays an important role in preventing tire-related
accidents. In previous studies, tire wear detection is performed by interpreting mathematical …

Micro-drilling optimization study using RSM on PLA-bronze composite filament printed using FDM

N Sneha, K Balamurugan - 2022 IEEE 2nd Mysore Sub Section …, 2022 - ieeexplore.ieee.org
In this research, micro-drilling machining operation on delamination effect of a Poly-lactic
acid (PLA) 14% Bronze composite filament on different drilling conditions. The layer …

[HTML][HTML] Lane-changing system based on deep Q-learning with a request–respond mechanism

J Guo, I Harmati - Expert Systems with Applications, 2024 - Elsevier
Lane-changing control is a crucial task to regulate the traffic flow in the intelligent
transportation system efficiently, and manipulating the lane-changing maneuvers for many …

Deep Neural Network-based Approach to Identifying Road Lanes

A Abadleh, M Qatawneh - International Journal on Artificial …, 2022 - World Scientific
In this paper, we present a new method for Lane Detection (LD) to reduce the impact of
some issues associated with Autonomous Driving Cars (ADCs). It relies on the fact that self …

Intelligent Fusion Approach for MRI and CT Imaging using CNN with Wavelet Transform Approach

K Joshi, V Kumar, V Sundaresan… - 2022 International …, 2022 - ieeexplore.ieee.org
Medical image fusion (MIF), with its numerous medical uses for precisely diagnosing
medical imaging, has attracted meticulous attention. The fused picture disadvantages from …

Dimensional Reduction Method based on Big Data Techniques for Large Scale Data

M Kumbhkar, P Shukla, Y Singh… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
In the age of big data, analysing complex and enormous amounts of data costs time and
money and might result in mistakes and misunderstandings. Therefore, bad inference and …

Neural Network Approach to Human Brain by Reverse Engineering

B Gupta, C Chethana, S Swaminathan… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
The biological systems of the brain were fine for their ability to function reliably and
effectively in high-noise environments. Biological pathways were built from brain …