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Coexistence of LTE Networks Under LSA Paradigm in 2.6 GHz Band
This paper proposes a sharing scenario based on License Shared Access (LSA) framework with coexistence management between licensed Mobile Network...
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Fast detection method of green peach for application of picking robot
When the picking robot picks green peaches, there are problems such as the color of the fruit being similar to the background color, overlap**...
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Document Similarity by Word Clustering with Semantic Distance
In information retrieval, Latent Semantic Analysis (LSA) is a method to handle large and sparse document vectors. LSA reduces the dimension of...
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LDA+: An Extended LDA Model for Topic Hierarchy and Discovery
The success of topic modeling algorithms depends on their ability to analyze, index and classify large text corpora. These algorithms could be...
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LSA System Development with Sensing for Rapidly Deployable LTE Network
Public safety users require radio spectrum for their communication systems. In this study, sensors are proposed as a backup spectrum information...
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Document vector embedding based extractive text summarization system for Hindi and English text
Nowadays, several automatic text summarization (ATS) methods have been proposed for resource-rich languages, such as English, Chinese. However,...
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An improved Henry gas solubility optimization algorithm based on Lévy flight and Brown motion
Henry gas solubility optimization (HGSO) algorithm is a physical heuristic algorithm based on Henry’s law. It is a heuristic algorithm proposed to...
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Deep Mining Covid-19 Literature
In this paper we investigate how scientific and medical papers about Covid-19 can be effectively mined. For this purpose we use the CORD19 dataset...
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Topic Modeling of Marketing Scientific Papers: An Experimental Survey
In recent years, the number of published scientific papers has largely increased. The huge amount of text in scientific papers is flowing relevant...
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Lifelong learning with selective attention over seen classes and memorized instances
Catastrophic forgetting challenges lifelong classification learning of modern neural networks, especially when observations arrive from a data stream...
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An improved binary sparrow search algorithm for feature selection in data classification
Feature Selection (FS) is an important preprocessing step that is involved in machine learning and data mining tasks for preparing data (especially...
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KP-Rank: a semantic-based unsupervised approach for keyphrase extraction from text data
Automatic key concept identification from text is the main challenging task in information extraction, information retrieval, digital libraries,...
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Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment
Sign language serves as a vital means of communication for individuals with hearing impairments, yet recognition resources for the over 100 distinct...
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Real-time speech enhancement algorithm for transient noise suppression
To effectively restrain stationary noise and transient noise, a real-time single-channel speech enhancement algorithm is proposed. First, to evaluate...
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Temporal analysis of computational economics: a topic modeling approach
This study offers a comprehensive investigation into the thematic evolution within computational economics over the past two decades, leveraging...
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A Semi-automated Approach for Identification of Trends in Android Ransomware Literature
Android ransomware is seen in the highlights of cyber security world reports. Ransomware is considered to be the most popular as well as threatening...
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The effect of ability grou** on students' computational thinking in shared regulation-supported collaborative programming
Grou** students according to their abilities and promoting deeper interaction and moderation are key issues in improving computational thinking in...
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Dtsr: detail-enhanced transformer for image super-resolution
Recently, Transformer has achieved remarkable success in image super-resolution (SR). However, most existing methods adopt the window-based...
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Teacher-student interaction modes in smart classroom based on lag sequential analysis
At present, the research on the teacher-student interaction (TSI) mode in smart classroom (SC) was not in-depth enough, and a few studies mainly...
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Latent Semantic Analysis (LSA): Reduction of Dimensions
After building the vector space model, we can represent and compare any type of objects of our study. Now we can discuss the question whether we can...