Titlebook: Advances in Computing and Data Sciences; 6th International Co Mayank Singh,Vipin Tyagi,Tuncer ?ren Conference proceedings 2022 The Editor(s

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Unsanhame Mawkhlieng,Abhijit Majumdart method of communication where a wide range of emotions can be expressed. Thus, it is imperative for machines to be also able to understand the emotions being portrayed in the text messages. For this study, an analysis was done on a dataset known as GoEmotions for the potential development of a cha

六個(gè)才偏離

https://doi.org/10.1007/978-981-16-3860-2ies and states has effected into accelerated growth of pandemics. A global need for rugged medical systems on a common platform is deemed today. Pandemics will not stop, they will resurrect again, they will happen irrespective till such times the medical world attains a disease less world in future.

成份

Edmond Manahasa,Fabio Naselli,Anna Yunitsynah predicting disease in one part of the body either brain, heart or lungs, this paper focuses on three different organs brain, chest, and knee for better understanding the real word challenge where problems do not include crisp classification but the multiclass classification. For simplicity this pa

極大的痛苦

Rossella Franchino,Caterina Frettoloso a few training data samples. Meta-learning is distinct from traditional supervised learning. The model is required to recognise training data before generalising to unknown test data in?traditional supervised learning. Meta-learning, on the other hand, has only one goal: to learn. Few-shot makes pr

偏狂癥

https://doi.org/10.1007/978-3-031-56607-3 of COVID-19 patients. This has been particularly helpful in resolving the overcapacity situation in the urgent care center and emergency department. An accurate Covid-19 detection algorithm can further aid this effort to reduce the disease burden. As part of this study, we put forward WE-Net, an en

Nebulous

Enrico Pietrogrande,Alessandro Dalla Canevavables (AR) for the submitted claims. The solution to this can be the study of payer-specific historical data to understand payment trends of the submitted claims. This data may include censored data points where the responses were not received from the payers and hence is appropriate to be analyzed

Pillory

Ghilan Al-Madhagy Taufiq-Hail,Adel Sareaemory-related regions of the brain, such as the entorhinal cortex and hippocampus, are the first to be damaged. A person’s mental stability is harmed as a result of the severity. Later on, it affects cortical regions that engage with language, logic, and social interaction. Subsequently, it spreads

倫理學(xué)

Ghilan Al-Madhagy Taufiq-Hail,Adel SareaDAS technology such as parking assistance and lane detection. The proposed work presents a real-time Driver assistance framework by implementing the state-of-the-art object detection algorithm YOLOv4. This paper provides a comparison between and other state-of-the-art object detectors. Comparison is

托運(yùn)

Adel Sarea,Ghilan Al-Madhagy Taufiq-Hailhape. It is imperative to develop a prediction model for cyber-crime prediction. The existing technical approaches to identify these unwarranted activities have not achieved the required success rate. In the proposed approach, methods of Machine Learning and Neural Network are used for analyzing and

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