[HTML][HTML] Two decades of vehicle make and model recognition–survey, challenges and future directions
Vehicle make and model recognition (VMMR) is a crucial task for develo** automatic
vehicle recognition (AVR) systems, and has gained significant attention in the fields of …
vehicle recognition (AVR) systems, and has gained significant attention in the fields of …
DQN-based ethical decision-making for self-driving cars in unavoidable crashes: An applied ethical knob
Ethical decision-making in complex urban driving scenarios remains a challenge,
particularly when human lives are at risk. This paper presents an ethical decision-making …
particularly when human lives are at risk. This paper presents an ethical decision-making …
EBCDet: Energy-based curriculum for robust domain adaptive object detection
This paper proposes a new method for addressing the problem of unsupervised domain
adaptation for robust object detection. To this end, we propose an energy-based curriculum …
adaptation for robust object detection. To this end, we propose an energy-based curriculum …
Consensus-based failure mode and effect analysis in group decision-making with incomplete weights of risk factors: case study of stereotactic body radiation therapy …
Failure mode and effect analysis (FMEA) is a widely used management technique to identify
potential failure modes in products, processes, systems, and services to assign limited …
potential failure modes in products, processes, systems, and services to assign limited …
A three in one bottom-up framework for simultaneous semantic segmentation, instance segmentation and classification of multi-organ nuclei in digital cancer histology
I Ahmad, SM Israr, ZU Islam - Image and Vision Computing, 2024 - Elsevier
Simultaneous segmentation and classification of nuclei in digital histology remains
challenging. The highest achieved Panoptic Quality (PQ) remains low due to overlap** …
challenging. The highest achieved Panoptic Quality (PQ) remains low due to overlap** …
An efficient intelligent task management in autonomous vehicles using AIIOT and optimal kernel adaptive SVM
The fast evolution of artificial intelligence (AI) and the IoT gained more interest in the
development of autonomous vehicles. The main challenges faced by autonomous car …
development of autonomous vehicles. The main challenges faced by autonomous car …
Improved Arabic image captioning model using feature concatenation with pre-trained word embedding
Automatic captioning of images contributes to identifying features of multimedia content and
helps in the detection of interesting patterns, trends, and occurrences. English image …
helps in the detection of interesting patterns, trends, and occurrences. English image …
IoT-based classification and differential diagnosis of COVID-19 from CT Images using DexiNed filter, image blending and weighted ensemble CNNs
AH Barshooi - 2023 9th International Conference on Web …, 2023 - ieeexplore.ieee.org
The coronavirus, discovered for the first time in December 2019 in Wuhan, China, quickly
spread to more than two hundred countries and became a public health emergency. After …
spread to more than two hundred countries and became a public health emergency. After …
Nighttime Driver Behavior Prediction Using Taillight Signal Recognition via CNN-SVM Classifier
This paper aims to enhance the ability to predict nighttime driving behavior by identifying
taillights of both human-driven and autonomous vehicles. The proposed model incorporates …
taillights of both human-driven and autonomous vehicles. The proposed model incorporates …
Synset Boulevard: A Synthetic Image Dataset for VMMR*
We present and discuss the Synset Boulevard dataset, designed for the task of surveillance-
nature vehicle make and model recognition (VMMR)—to the best of our knowledge the first …
nature vehicle make and model recognition (VMMR)—to the best of our knowledge the first …