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Mood, a long-lasting affective state detached from specific stimuli, plays an important role in behavior. Although sentiment analysis and emotion classification have garnered attention, research on mood classification remains in its early stages. This ...

This study proposes the BBQ-Tree, a new logic-based classifier that combines the two concepts of classical Decision Trees and Quantum-Logic Decision Trees into a generalized model. It thus creates a method that has the power to solve ...

Hierarchical, descriptive, and faceted methods of constructing knowledge classifiers and also the classification of knowledge using folksnomies are described. Mathematical models to formalize the listed methods of constructing classifiers are ...

Cyberattacks are considered one of the largest threats to data security in this digital age. In the overall strategy for thwarting cyberattacks, intrusion detection systems (IDS) play a very important role. A high dimensional data flow poses a ...

In a recent survey conducted in the year of 2022, it came to know that India contains around 50 percentages of its population is occupied by young people belonging to the age group of 25 and falls under a category of student. Guiding this young mass ...

Anomalous event recognition has a complicated definition in the complex background due to the sparse occurrence of anomalies. In this paper, we form a framework for classifying multiple anomalies present in video frames that happen in a context such as ...

Reviews give customers the opportunity to tell the rest of the world about how they love or hate a product. While there is a limit to the number of words, there is no limit to the words that reviewers can use to express their anger, frustration, ...

Automated classification of software changes can help to understand the reason why a change was made, guide the adoption of quality control practices as bugfix trends are observed, and cluster related sets of changes for similar management of the ...

Methods for automated semantic labeling of data are an indispensable basis for increasing the usability of data. On the one hand, they contribute to the homogenization of the annotations and thus to the increase in quality; on the other hand, they ...

With the vigorous development of the economic industry, various types of financial management mechanisms have become the basic trend in the development process of the company, and gradually enhance the basic management attention of each company's ...

Deep Neural Networks (DNNs) surpass the human-level performance on specific tasks. The outperforming capability accelerate an adoption of DNNs to safety-critical applications such as autonomous vehicles and medical diagnosis. Millions of parameters in ...

In this paper, we address the problem of a federated learning of classifiers. We propose an algorithm of the classifier training with the aid of a simple voting scheme (a majority committee). We present the results of our analysis of the ...

In this contribution there are considered interval‐valued methods of improving the quality of classification by the k‐N N binary classifiers in the case of large number of attributes in data sets. One of the possible applications of the introduced ...

Friend relations in Facebook have been used to access private and sensitive user data, post false or abusive information on the timelines and news feeds of victims, and scam and influence the perceptions of victims. In a qualitative study with 35 ...

scikit-multimodallearn is a Python library for multimodal supervised learning, licensed under Free BSD, and compatible with the well-known scikit-learn toolbox (Pedregosa et al., 2011). This paper details the content of the library, including a specific ...

As an essential indicator of labour and delivery, uterine contraction (UC) can be detected by manual palpation, external tocodynamometry and internal uterine pressure catheter. However, these methods are not ...

 A computational method for detecting pineapple ripening could lead to increased agricultural productivity. It is possible to predict fruit maturity before harvesting to increase agricultural productivity. A ripe fruit’s quality, its standard content of ...

Deceptive reviews on internet platforms are a harsh reality in today's world. Specific services, businesses, and products are praised or vilified in these reviews. In an online or web society, users get help from reviews before making a decision, and in a ...

Recent years have witnessed a noticeable growth in the development of stealthy Android-based malware which has led to a pressing need for accurate malware detection systems. In this paper, we propose a graph-based ensemble classifier - GENDroid that ...

One of the important challenges in handling real world data is that most of the real-world data have complex data patterns. Another challenge in handling real world data is that data can be highly non-linear. An important element of neural network is ...