A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches
Microorganisms such as bacteria and fungi play essential roles in many application fields,
like biotechnique, medical technique and industrial domain. Microorganism counting …
like biotechnique, medical technique and industrial domain. Microorganism counting …
A survey on recent named entity recognition and relationship extraction techniques on clinical texts
Significant growth in Electronic Health Records (EHR) over the last decade has provided an
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
abundance of clinical text that is mostly unstructured and untapped. This huge amount of …
[HTML][HTML] The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction
P Chhajer, M Shah, A Kshirsagar - Decision Analytics Journal, 2022 - Elsevier
The future is unknown and uncertain, but there are ways to predict future events and reap
the rewards safely. One such opportunity is the application of machine learning and artificial …
the rewards safely. One such opportunity is the application of machine learning and artificial …
Machine-learning-assisted security and privacy provisioning for edge computing: A survey
S Singh, R Sulthana, T Shewale… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
Edge computing (EC), is a technological game changer that has the ability to connect
millions of sensors and provide services at the device end. The broad vision of EC integrates …
millions of sensors and provide services at the device end. The broad vision of EC integrates …
RETRACTED ARTICLE: Classification of stroke disease using machine learning algorithms
P Govindarajan, RK Soundarapandian… - Neural Computing and …, 2020 - Springer
This paper presents a prototype to classify stroke that combines text mining tools and
machine learning algorithms. Machine learning can be portrayed as a significant tracker in …
machine learning algorithms. Machine learning can be portrayed as a significant tracker in …
[图书][B] Support vector machines for pattern classification
S Abe - 2005 - Springer
Since the introduction of support vector machines, we have witnessed the huge
development in theory, models, and applications of what is so-called kernel-based methods …
development in theory, models, and applications of what is so-called kernel-based methods …
Sector-level sentiment analysis with deep learning
I Almalis, E Kouloumpris, I Vlahavas - Knowledge-Based Systems, 2022 - Elsevier
This paper presents new machine learning methods in the context of natural language
processing (NLP) to extract useful information from financial news. Traditional NLP …
processing (NLP) to extract useful information from financial news. Traditional NLP …
Sequential feature selection and machine learning algorithm-based patient's death events prediction and diagnosis in heart disease
R Aggrawal, S Pal - SN Computer Science, 2020 - Springer
Due to the accessibility of data with multiple features, many feature determination
techniques available in written form. These features promote data with extremely high …
techniques available in written form. These features promote data with extremely high …
Recognition of Arabic air-written letters: machine learning, convolutional neural networks, and optical character recognition (OCR) techniques
Air writing is one of the essential fields that the world is turning to, which can benefit from the
world of the metaverse, as well as the ease of communication between humans and …
world of the metaverse, as well as the ease of communication between humans and …
Age assessment through root lengths of mandibular second and third permanent molars using machine learning and Artificial Neural Networks
The present study explores the efficacy of Machine Learning and Artificial Neural Networks
in age assessment using the root length of the second and third molar teeth. A dataset of …
in age assessment using the root length of the second and third molar teeth. A dataset of …