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Deep learning for scene understanding in mitochondrial dysregulation and blood cancer diagnosis [PDF]
Frontiers in OncologyIntroductionDeep learning has emerged as a transformative tool in biomedical research, particularly in understanding disease mechanisms and enhancing diagnostic precision. Mitochondrial dysfunction has been increasingly recognized as a critical factor in
Feng Zhu +4 more
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MAPE-ViT: multimodal scene understanding with novel wavelet-augmented Vision Transformer [PDF]
PeerJ Computer ScienceThis article introduces Multimodal Adaptive Patch Embedding with Vision Transformer (MAPE-ViT), a novel approach for RGB-D scene classification that effectively addresses fundamental challenges of sensor misalignment, depth noise, and object boundary ...
Muhammad Waqas Ahmed +6 more
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CIRS: A Multi-Agent Machine Learning Framework for Real-Time Accident Detection and Emergency Response [PDF]
SensorsRoad traffic accidents remain a leading cause of fatalities worldwide, and the consequences are considerably worsened by delayed detection and emergency response.
Sadaf Ayesha +3 more
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Insights into few shot learning approaches for image scene classification [PDF]
PeerJ Computer Science, 2021 Image understanding and scene classification are keystone tasks in computer vision. The development of technologies and profusion of existing datasets open a wide room for improvement in the image classification and recognition research area ...
Mohamed Soudy, Yasmine Afify, Nagwa Badr
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RepConv: A novel architecture for image scene classification on Intel scenes dataset [PDF]
International Journal of Intelligent Computing and Information Sciences, 2022 Image understanding and scene classification are keystone tasks in computer vision. The advancement of technology and the abundance of available datasets in the field of image classification and recognition study provide plenty of attempts for ...
Yasmine Afify, Nagwa Badr, Mohamed Soudy
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Increasing the Segmentation Accuracy of Aerial Images with Dilated Spatial Pyramid Pooling
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2021 This thesis addresses the environmental uncertainty in satellite images as a computer vision task using semantic image segmentation. We focus in the reduction of the error caused by the use of a single-environment models in wireless communications.
Manuel Eugenio Morocho-Cayamcela
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Algorithms, 2023 Scene understanding is one of the most challenging areas of research in the fields of robotics and computer vision. Recognising indoor scenes is one of the research applications in the category of scene understanding that has gained attention in recent ...
Ranjini Surendran +3 more
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PackerRobo: Model-based robot vision self supervised learning in CART
Alexandria Engineering Journal, 2022 Robots are most widely used to replace human contribution with machine generated response. When humans interact with robots, its mandatory for both to forecast actions based on current conditions. Huge efforts have been channelized towards attaining this
Asif Khan +8 more
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Advances in Civil Engineering, 2021 With the development of social economy and the progress of science and technology, the process of urbanization continues to deepen and the progress of the construction industry changes with each passing day.
Yuting Zhang
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Recent Advances in Vision-Based On-Road Behaviors Understanding: A Critical Survey
Sensors, 2022 On-road behavior analysis is a crucial and challenging problem in the autonomous driving vision-based area. Several endeavors have been proposed to deal with different related tasks and it has gained wide attention recently.
Rim Trabelsi +4 more
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