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An Introduction to Image Classification From Designed Models to End-to-End Learning
Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification...
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Optimal trained ensemble of classification model for satellite image classification
Satellite image classification is the most significant remote sensing method for computerized analysis and pattern detection of satellite data. This...
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A video compression-cum-classification network for classification from compressed video streams
Video analytics can achieve increased speed and efficiency by operating directly on the compressed video format, thereby alleviating the decoding...
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Evolutionary Classification
Classification is a supervised machine learning process that categories an instance based on a number of features. The process of classification...
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Prostate classification network (PC-Net) for automated classification of Prostate cancer in Magnetic resonance imaging
Prostate cancer (PCa) is found to be the second most common cause of death in men after lung cancer, making it necessary to diagnose as early as...
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Classification
In this chapter, we will focus on classification techniques. We will explain the different techniques available to perform classification tasks....
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A fast method for load detection and classification using texture image classification in intelligent transportation systems
The surveillance and management of cargo fleets is a crucial objective of intelligent transportation systems. Load, especially overload, has a...
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Text Classification
Text classification involves assigning labels to text that denote a particular category, for example whether the sentiment expressed in this text is...
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Detection and classification of skin burns on color images using multi-resolution clustering and the classification of reduced feature subsets
The detection of skin burns on color images and their corresponding classification to identify their intensity degree are useful tools for automatic...
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Classification
Classification is the process of grou** objects and entities based on available information. It is an important step that forms the core of the...
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A multi-label classification system for anomaly classification in electrocardiogram
Automatic classification of ECG signals has become a research hotspot, and most of the research work in this field is currently aimed at single-label...
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Transformer based fruits disease classification
As technology progresses, automation is increasingly gaining importance, and one area where it holds significant potential is fruit classification....
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Text Classification
This chapter describes the entire process of text classification based on supervised learning. Each and every step will be explained with the help of...
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Sequential Data Classification under Dynamic Emission
AbstractSequential data are ubiquitous and widely available in a range of applications in almost all areas. We aim at considering medical,...
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Combining EfficientNet with ML-Decoder classification head for multi-label retinal disease classification
Retinal diseases that are not treated in time can cause irreversible, permanent damage, including blindness. Although a patient may suffer from more...
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Classification of Short Scientific Texts
AbstractThis paper discusses modern approaches to natural language processing and the application of machine learning models to the task of...
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Deterministic Recursion to Target Class Classification
AbstractFormal mathematical description and analysis of the mathematical model of the problem from the field of medicine about adaptation of dynamic...
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Multimodal fuzzy granular representation and classification
AbstractIn a complex classification task, samples are represented by various types of multimodal features, including structured data, text, images,...
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An overview of computer—aided medical image classification
Medical image classification plays a pivotal role in modern healthcare, aiding in accurate disease diagnosis, treatment planning, and patient...
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Mask Distillation Network for Conjunctival Hyperemia Severity Classification
To achieve automatic, fast and accurate severity classification of bulbar conjunctival hyperemia severity, we proposed a novel prior knowledge-based...