The objective in this paper is to give the concept of fuzzy λ–algebra and study some of its structural properties. The relationships between fuzzy λ–algebra and other concepts like fuzzy α-σ-field, fuzzy β-σ-f...
The objective in this paper is to give the concept of fuzzy λ–algebra and study some of its structural properties. The relationships between fuzzy λ–algebra and other concepts like fuzzy α-σ-field, fuzzy β-σ-field, fuzzy β-field, and fuzzy α-field are presented.
When data is produced in large quantities, classification requires proper techniques for data analysis and representation. Successful optimization techniques can be used to find the most informative features from the ...
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ISBN:
(数字)9781728164533
ISBN:
(纸本)9781728164540
When data is produced in large quantities, classification requires proper techniques for data analysis and representation. Successful optimization techniques can be used to find the most informative features from the data. Feature selection enhances classification accuracy as it eliminates irrelevant and redundant data from the dataset. Swarm Intelligent algorithms, which are inspired by the social behaviour of living organisms are found to have good performance in feature selection. This paper investigates the possibility of enhancing the artificial bee colony algorithm, one of the efficient swarm intelligent techniques, by hybridizing it with the genetic algorithm. Experiments on various datasets prove that the proposed approach has better results than the existing techniques.
This paper proposes a family of hyperelliptic curves of genus two for public-key cryptographic primitives. Being subfield curves, the members of this family are easy to generate. Although slightly slower than elliptic...
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Deep Learning has been successfully applied in diverse fields, and its impact on deepfake detection is no exception. Deepfakes are fake yet realistic synthetic content that can be used deceitfully for political impers...
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Sentence ordering and word ordering is always remaining as a critical task for natural language processing applications. It is expected that introduction of word order information will lead to improvements in document...
ISBN:
(数字)9781728148892
ISBN:
(纸本)9781728148908
Sentence ordering and word ordering is always remaining as a critical task for natural language processing applications. It is expected that introduction of word order information will lead to improvements in document related tasks like keyword extraction, context identification, topic analysis, intent identification, summary generation, document classification, sentiment analysis, clustering etc. In this paper, we are maintaining the structure of the document data by using various deep learning techniques. Most of the techniques can be compared on the basis of vector similarity. The proposed research work helps to improve the accuracy on the basis of the order of word occurrence. We also compare different types of word ordering techniques to maintain the structure of the document. The obtained results indicate that Doc2Vec model outperforms Tfidf model in terms of word order similarity.
Object Tracking from surveillance video has become a popular research area in the fields of image processing, video processing, and computer vision. The abilityto accurately identify specific objects from surveillance...
Object Tracking from surveillance video has become a popular research area in the fields of image processing, video processing, and computer vision. The abilityto accurately identify specific objects from surveillance footage can have a significant impact on public safety and security. Our research employs YOLOv5, a state-of-the-art deep learning algorithm, for object detection in this domain. YOLOv5 is particularly effective in identifying objects in real time with high accuracy and speed. In this paper, we focus on using YOLOv5 for the detection of common objects in our daily lives. With various crimes and thefts occurring in society, it is challenging to guarantee everyone's safety on the streets, highways, or roadsides. Therefore, our research aims to address this issue by exploring how we can reduce manual labor and improve safety through the detection of specific objects in different scenarios. For instance, we can identify individuals based on their attire or if they are carrying a weapon or dangerous item. By fine-tuning our model, we can accurately detect and identify the required objects, allowing us to take appropriate action and enhance public safety. Overall, our research shows the potential of YOLOv5 for object detection in specific scenarios and demonstrates how it can be used to enhance public safety and security.
Prediction of the college admission status can be useful to the college in various perspectives. Admission information includes the total number of candidates applying for admission and the total number of students fr...
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In this digital era, big data has very high dimension and requires large amount of space for its data storage. Hence a lossless data interpretation will be difficult when big data contains large dimension. But, all th...
ISBN:
(数字)9781728148892
ISBN:
(纸本)9781728148908
In this digital era, big data has very high dimension and requires large amount of space for its data storage. Hence a lossless data interpretation will be difficult when big data contains large dimension. But, all these dimensions in big data may not be relevant or they may be interrelated and hence redundancy may exist in attribute set. Dimensionality reduction is a technique which focusses on downsizing the attributes and complication of a high dimensional data. In this paper, a detailed study of different dimensionality reduction techniques namely principal component analysis (PCA), linear discriminant analysis (LDA), kernel principal component analysis (KPCA), singular value decomposition (SVD), independent component analysis (ICA) has been proposed. Furthermore, it also provides comparative analysis based on various parameters.
Nowadays, we come across a lots of road accidents in our daily life. There are many reasons behind such accidents like rash driving, diminished vigilance level of driver, drunken driving *** there are different models...
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This paper presents an unsupervised approach for extracting keywords from documents and tagging of research documents with the help of extracted keywords. Keywords are useful for checking the similarity between two do...
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