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LSA-T: The First Continuous Argentinian Sign Language Dataset for Sign Language Translation
Sign language translation (SLT) is an active field of study that encompasses human-computer interaction, computer vision, natural language processing...
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Improving information retrieval through correspondence analysis instead of latent semantic analysis
The initial dimensions extracted by latent semantic analysis (LSA) of a document-term matrix have been shown to mainly display marginal effects,...
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Learning search algorithm: framework and comprehensive performance for solving optimization problems
In this study, the Learning Search Algorithm (LSA) is introduced as an innovative optimization algorithm that draws inspiration from swarm...
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Latent Semantic Analysis
This chapter introduces an unsupervised learning method—Latent Semantic Analysis (LSA), first describing the word vector space model and the topic...
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Nexus Between Psychological Safety and Non-Technical Debt in Large-Scale Agile Enterprise Resource Planning Systems Development
Psychological safety, a pivotal factor in team dynamics, has been proposed as a crucial determinant of success in agile software development (ASD)...
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What Limits the Performance of Local Self-attention?
Although self-attention is powerful in modeling long-range dependencies, the performance of local self-attention (LSA) is just similar to depth-wise...
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A new methodology for exploratory and predictive data analysis based on level sets of probability density function
The main goal in cluster analysis is finding groups that naturally exist in any given data. Conceptually, observations are generated from a...
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A Summary of Unsupervised Learning Methods
This chapter summarizes the relationships and characteristics of eight commonly used machine learning methods in detail, namely clustering methods...
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DCU-Net transient noise suppression based on joint spectrum estimation
Transient noise has a high short-time energy, a high degree of randomness, a wide frequency-domain distribution, and only causes local signal...
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Data Homogeneity Dependent Topic Modeling for Information Retrieval
Different topic modeling techniques have been applied over the years to categorize and make sense of large volumes of unstructured textual data. Our...
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A Comparative Survey of Text Summarization Techniques
Text summarization holds significance in the realm of natural language processing as it expedites the extraction of crucial information from...
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A Semantic Enhanced Course Recommender System via Knowledge Graphs for Limited User Information Scenarios
The Universal Declaration of Human Rights states that “everyone has the right to education” and it must be “equally accessible to all”. Aligned with...
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Exploring the advertising elements of electronic word-of-mouth in social media: an example of game reviews
The influence of social communities has quietly surpassed traditional media. Electronic word-of-mouth (eWOM) is far greater than in other forms of...
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ViT-PGC: vision transformer for pedestrian gender classification on small-size dataset
Pedestrian gender classification (PGC) is a key task in full-body-based pedestrian image analysis and has become an important area in applications...
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A Comprehensive Analysis of Indian Legal Documents Summarization Techniques
In the Legal AI field, the summarization of legal documents is very challenging. Since the Indian case documents are much noisier and poorly...
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Topic Modeling for Skill Extraction from Job Postings
With an increase in the number of online job posts, it is becoming increasingly challenging for both job searchers and employers to navigate this...
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Multiprocessor Task Scheduling Optimization for Cyber-Physical System Using an Improved Salp Swarm Optimization Algorithm
Salp Swarm Algorithm (SSA) is a bio-inspired optimization algorithm used in this paper to optimize the multiprocessor scheduling process in the...
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Optimized Latent-Dirichlet-Allocation Based Topic Modeling–An Empirical Study
Topic modeling is an unsupervised learning based mechanism used to uncover hidden topics from the voluminous corpus generated out of social media,...
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OV-DAR: Open-Vocabulary Object Detection and Attributes Recognition
In this paper, we endeavor to localize all potential objects in an image and infer their visual categories, attributes, and shapes, even in instances...
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PUB-VEN: a personalized recommendation system for suggesting publication venues
Researchers would like to publish their research articles in reputed journals along with quick review time. However, with the growing number of...
