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Results: 42
NIR Spectroscopy Oranges Origin Identification Framework Based on Machine Learning
Songjian Dan
Jan 01, 2022
Research on the identification model of orange origin based on machine learning in Near infrared (NIR) spectroscopy. According to the characteristics of NIR spectral data, a complete general framework for origin identification...
Published by: IGI Global
Deep Embedding Learning With Auto-Encoder for Large-Scale Ontology Matching
Ontology matching is an efficient method to establish interoperability among heterogeneous ontologies. Large-scale ontology matching still remains a big challenge for its long time and large memory space consumption. The actual...
Published by: IGI Global
Chaotic Whale Crow Optimization Algorithm for Secure Routing in the IoT Environment
This paper solves the internet of things (IoT) security issues by introducing a chaotic whale crow (CWC) optimization, which is the integration of chaotic whale optimization algorithm (CWOA) in crow search algorithm (CSA). The...
Published by: IGI Global
A Differential Epidemic Model for Information, Misinformation, and Disinformation in Online Social Networks
These days the online social network has become a huge source of data. People are actively sharing information on these platforms. The data on online social networks can be misinformation, information, and disinformation....
Published by: IGI Global
Predictive Model Using a Machine Learning Approach for Enhancing the Retention Rate of Students At-Risk
Student retention is a widely recognized challenge in the educational community to assist the institutes in the formation of appropriate and effective pedagogical interventions. This study intends to predict the students at-risk...
Published by: IGI Global
Enabling Interoperability in the Internet of Things
Semantic Web technologies act as an interoperability glue among different formats, protocols and platforms, providing a uniform vision of heterogeneous devices and services in the Internet of Things (IoT). Semantic Web...
Published by: IGI Global
A Parallel Fractional Lion Algorithm for Data Clustering Based on MapReduce Cluster Framework
This work introduces a parallel clustering algorithm by modifying the existing Fractional Lion Algorithm (FLA). The proposed work replaces the conventional Euclidean distance measure with the Bhattacharya distance measure to...
Published by: IGI Global
Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing
Due to the availability of cheap 3D sensors such as Kinect and LiDAR, the use of 3D data in various domains such as manufacturing, healthcare, and retail to achieve operational safety, improved outcomes, and enhanced customer...
Published by: IGI Global
An Agent-Based Social Simulation for Citizenship Competences and Conflict Resolution Styles
The development of citizenship competences plays an important role in a complex system like society. Thus, to analyze how such competences impact other contexts is a great challenge because this kind of study involves the work...
Published by: IGI Global
An Ontology-Based Automation System
This paper presents an ontology-based approach to benefit automatic fertilization management for citrus orchards located in mountainous region. The core of the fertilization approach is the citrus fertilization ontology, which...
Published by: IGI Global
Improved Semantic Representation Learning by Multiple Clustering for Image-Based 3D Model Retrieval
Under the heavy management on the increasing 3D models, the topic of image-based 3D model retrieval which organizes unlabeled 3D models based on abundant knowledge learned from labeled 2D images has drawn attention. However...
Published by: IGI Global
False Alert Detection Based on Deep Learning and Machine Learning
Among the large number of network attack alerts generated every day, actual security incidents are usually overwhelmed by a large number of redundant alerts. Therefore, how to remove these redundant alerts in real time and...
Published by: IGI Global
Modified Transformer Architecture to Explain Black Box Models in Narrative Form
The current XAI techniques present explanations mainly as visuals and structured data. However, these explanations are difficult to interpret for a non-expert user. Here, the use of natural language generation (NLG)-based...
Published by: IGI Global
A Context-Independent Ontological Linked Data Alignment Approach to Instance Matching
Linking data by finding matching instances in different datasets requires considering many characteristics, such as structural heterogeneity, implicit knowledge, and URI (Uniform Resource Identifier)-oriented identification. The...
Published by: IGI Global
Analyzing the Sociodemographic Factors Impacting the Use of Virtual Reality for Controlling Obesity
Mona Alduailij, Wadee Alhalabi, Mai Alduaili, Amal Al-Rashee, Eatedal Alabdulkareem, Seham Alharb
Jan 01, 2022
Obesity is one of the most pressing issues in society today. Virtual reality has been used in the design of tools that promotes obesity control. However, the design of current VR tools lacks the involvement of prospective users...
Published by: IGI Global
Virtual Reality Simulator Enhances Ergonomics Skills for Neurosurgeons
Hind Alsharif, Wadee Alhalabi, Abdulhameed Alkhateeb, Salah Shihata, Khalid Bajunaid, Salwa AlMansouri, Mirza Pasovic, Richard Satava, Abdulrahman Sabbagh
Jan 01, 2022
This paper aims to assess the needs of neurosurgical training in order to strategize the future plans for simulation and rehearsal. The main objective is to investigate the ability of virtual reality to enhance the training. An...
Published by: IGI Global
Matching and Ranking Trustworthy Context-Dependent Universities
The King Abdullah Scholarship Program was created in 2005 by sending Saudi students to study abroad. The program has a series of specific rules and it was found that due to the multitude of services the students can choose from...
Published by: IGI Global
Hybrid Firefly-Ontology-Based Clustering Algorithm for Analyzing Tweets to Extract Causal Factors
Social media especially Twitter has become ubiquitous among people where they express their opinions on various domains. This paper presents a Hybrid Firefly – Ontology-based Clustering (FF-OC) algorithm which attempts to...
Published by: IGI Global
Longitudinal Study of a Website for Assessing American Presidential Candidates and Decision Making of Potential Election Irregularities Detection
We employ the concept of word sense disambiguation to determine the inherent meaning of voter intentions regarding possible political candidates from the 2016 Presidential election. We present our findings based on a website...
Published by: IGI Global
A Path-Clustering Driving Travel-Route Excavation
Can Yang
Jan 01, 2022
The refueling trajectory of self-driving tourists is sparse, and it is difficult to restore the real travel route. A sparse trajectory clustering algorithm is proposed based on semantic representation to mine popular...
Published by: IGI Global
A New Alignment Word-Space Approach for Measuring Semantic Similarity for Arabic Text
This work presents a new alignment word-space approach for measuring the similarity between two snipped texts. The approach combines two similarity measurement methods: alignment-based and vector space-based. The vector...
Published by: IGI Global
An Improved Structural-Based Ontology Matching Approach Using Similarity Spreading
An increasing number of ontologies demand the interoperability between them in order to gain accurate information. The ontology heterogeneity also makes the interoperability process even more difficult. The existing ontology...
Published by: IGI Global
AUV-Based Efficient Data Collection Scheme for Underwater Linear Sensor Networks
The research on underwater wireless sensor networks (UWSNs) has grown considerably in recent years where the main focus remains to develop a reliable communication protocol to overcome its challenges between various underwater...
Published by: IGI Global
Cat-Squirrel Optimization Algorithm for VM Migration in a Cloud Computing Platform
This paper introduces an approach for the VM migration based on optimization algorithm, named CS in cloud. The provider to be selected is carried out with the usage of multiple constraints, like delay, bandwidth, cost, and load....
Published by: IGI Global
A Model of Semantic-Based Image Retrieval Using C-Tree and Neighbor Graph
The problems of image mining and semantic image retrieval play an important role in many areas of life. In this paper, a semantic-based image retrieval system is proposed that relies on the combination of C-Tree, which was built...
Published by: IGI Global
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