Applications of machine learning techniques for enhancing nondestructive food quality and safety detection
In considering the need of people all over the world for high-quality food, there has been a
recent increase in interest in the role of nondestructive and rapid detection technologies in …
recent increase in interest in the role of nondestructive and rapid detection technologies in …
A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …
[HTML][HTML] Analytics of machine learning-based algorithms for text classification
Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …
automatically sorted into a predefined set of classes. The application of text classification is …
Influence of pre-processing strategies on the performance of ML classifiers exploiting TF-IDF and BOW features
AP Pimpalkar, RJR Raj - ADCAIJ: Advances in Distributed Computing …, 2020 - torrossa.com
Opinion Mining (OM) continues with the implementation of technology that can distinguish
positive and negative expressions that are part of conversations and remarks. Because of …
positive and negative expressions that are part of conversations and remarks. Because of …
What makes a good commit message?
A key issue in collaborative software development is communication among developers.
One modality of communication is a commit message, in which developers describe the …
One modality of communication is a commit message, in which developers describe the …
[HTML][HTML] Applying machine learning to identify anti-vaccination tweets during the COVID-19 pandemic
Anti-vaccination attitudes have been an issue since the development of the first vaccines.
The increasing use of social media as a source of health information may contribute to …
The increasing use of social media as a source of health information may contribute to …
[HTML][HTML] GHS-NET a generic hybridized shallow neural network for multi-label biomedical text classification
Exponential growth of biomedical literature and clinical data demands more robust yet
precise computational methodologies to extract useful insights from biomedical literature …
precise computational methodologies to extract useful insights from biomedical literature …
[HTML][HTML] Revolutionizing groundwater management with hybrid AI models: A practical review
M Zaresefat, R Derakhshani - Water, 2023 - mdpi.com
Developing precise soft computing methods for groundwater management, which includes
quality and quantity, is crucial for improving water resources planning and management. In …
quality and quantity, is crucial for improving water resources planning and management. In …
Addressing legal and contractual matters in construction using natural language processing: A critical review
Claims, disputes, and litigations are major legal issues in construction projects, which often
result in cost overruns, delays, and adverse working relationships among the contracting …
result in cost overruns, delays, and adverse working relationships among the contracting …
Automatic classification of rural building characteristics using deep learning methods on oblique photography
Rural building is important to the well-being of rural residents, leading to a significant need
to carry out extensive surveys and retrofits of many rural buildings. On-site surveys by expert …
to carry out extensive surveys and retrofits of many rural buildings. On-site surveys by expert …