International Journal of Information Retrieval Research (IJIRR) 12

International Journal of Information Retrieval Research (IJIRR) 12

Zhongyu Lu (University of Huddersfield, UK)

Copyright: © 2022 |Volume: 12

ISSN: 2155-6377|EISSN: 2155-6385|EISBN13: 9781683182092|DOI: 10.4018/IJIRR.20220401

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MLA

Lu, Zhongyu. "International Journal of Information Retrieval Research (IJIRR)." (2022). Web. 25 May. 2024. doi:10.4018/IJIRR.20220401

APA

Lu, Z. (2022). International Journal of Information Retrieval Research (IJIRR). doi:10.4018/IJIRR.20220401

Chicago

Lu, Zhongyu. "International Journal of Information Retrieval Research (IJIRR)," (2022), accessed (May 25, 2024), doi:10.4018/IJIRR.20220401

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The International Journal of Information Retrieval Research (IJIRR) publishes original, innovative, and creative research in the retrieval of information. This journal focuses on theories and methods with an enterprise-wide perspective and addresses interdisciplinary and multidisciplinary applications in data, text, and document retrieval. Targeting information engineers, scientists, and related professionals, IJIRR integrates interdisciplinary and multidisciplinary needs for a complete approach to the significant issue of data retrieval in the era of information fusion.

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Article

Solving the Cubic Cell Formation Problem Using Simulated Annealing (pages 1-19)

Hamida Bouaziz, Ali Lemouari

The Cubic Cell Formation Problem (CCFP) in cellular manufacturing systems consists in decomposing a production system into a set of manufacturing cells, and assigning workers to cells besides parts and machines. The major objective...

Article

Comparative Analysis of Machine Learning-Based Algorithms for Detection of Anomalies in IIoT (pages 1-55)

Bhupal Naik D. S., Venkatesulu Dondeti, Sivadi Balakrishna

With the enormous increase in data, anomaly detection plays a prominent role in the finer analysis process. IIoT represents the Industrial Internet of Things that at first chiefly alluded to a mechanical system whereby an enormous...

Article

SLIC-Based Cloud Removal Approach with Inpainting for Landsat 8 SAR Images (pages 1-17)

Vaishnavi Pillalamarri, Angelin Gladston

Clouds which exist in optical remote sensing images can degrade their applicability for earth observation. Ground-cover information is degraded by thin clouds or even completely occluded by thick clouds, which limits further analysis...

Article

Automatic Traffic Sign Recognition System Using CNN (pages 1-14)

Amritha Barade, Haritha Poornachandran, K. M. Harshitha, Shiloah Elizabeth D., Sunil Retmin Raj C.

In recent times, self-driving vehicles have been widely adopted across different countries as they are equipped to drastically reduce the number of road accidents and congestion on the road thereby improving the traffic efficiency....

Article

IDENTIFICATION OF LEARNERS' EMOTIONS IN A LEARNING ENVIRONMENT USING NAÏVE BAYES ALGORITHM AND EVALUATION OF ACADEMIC ACHIVEMENT WITH RANDOM FOREST AL (pages 1-16)

D.Magdalene Delighta Angeline, Perumal Ramasubramanian, Samuel Peter James I, Shanmugasundaram Hariharan

Emotions have undergone unusual stages all through the pandemic situation creating a trauma in the minds of learners that extirpate the growth of a learner. The main objective of the work is to identify the face emotions of learners...

Article

Cluster-Based Cab Recommender System (CBCRS) for Solo Cab Drivers (pages 1-15)

Supreet Kaur Mann, Sonal Chawla

An efficient cluster-based cab recommender system (CBCRS) provides solo cab drivers with recommendations about the next pickup location having high passenger finding potential at the shortest distance. To recommend the cab drivers...

Article

Clustering of Relevant Documents Based on Findability Effort in Information Retrieval (pages 1-18)

Prabha Rajagopal, Taoufik Aghris, Fatima-Ezzahra Fettah, Sri Devi Ravana

A user expresses their information need in the form of a query on an information retrieval (IR) system that retrieves a set of articles related to the query. The performance of the retrieval system is measured based on the retrieved...

Article

A New Scalable Deep Learning Model of Pattern Recognition for Medical Diagnosis Using Model Aggregation and Model Selection (pages 1-16)

Choukri Djellali, Mehdi Adda

In recent years, pattern recognition has become a research area with increasing importance using several techniques. One of the most common techniques used is deep learning. This paper presents a new deep learning model to pattern...

Article

Accuracy Enhancement for Breast Cancer Detection Using Classification and Feature Selection (pages 1-15)

Somil Jain, Puneet Kumar

Chronic disease like kidney failure, heart disease, cancer etc. is the major cause of deaths now days worldwide. Especially for the females the most dangerous type of disease from which the women of every age group are suffering...

Article

Current Status, Requirements, and Challenges of Blockchain Application in Land Registry (pages 1-20)

Mohammed Shuaib, Shadab Alam, Rafeeq Ahmed, S. Qamar, Mohammed Shahnawaz Nasir, Mohammad Shabbir Alam

The land registry system is one of the crucial aspects of any government. Proper and reliable land management is essential for economic growth and governance. The traditional land registry model lacks many essential requirements and...

Article

Detection of Change in Body Motion With Background Construction and Silhouette Orientation: Background Subtraction With GMM (pages 1-19)

Rohini Mahajan, Devanand Padha

Background subtraction techniques have been widely implemented and improvised to obtain a stable background model. The novelty of the proposed work is to generate a stable background model under dynamic changes in the environmental...

Article

Image Retrieval Using Digital Image Inpainting Techniques (pages 1-17)

Sanket B. Kasturiwala

Image retrieval is an inverse problem in digital image processing. In this paper, the authors deal with restoration of image using digitally image inpainting methods. In this inpainting technique, one can extract a missing an...

Article

Challenges and Ethical Issues in Data Privacy: Academic Perspective (pages 1-7)

Renu Bala

This paper strived to find out the challenges and ethical issues in the stream of data privacy in the present era of the twenty-first century. The present study focuses on empirical studies that were published during the period...

Article

A Firefly Algorithm-Based Approach for Web Query Reformulation (pages 1-16)

Meriem Zeboudj, Khaled Belkadi

A major difficulty in using a web-based information retrieval system is the choice of terms to be used for expressing and processing a query. The user has to examine a lot of data to find the necessary documents or information. The...

Article

Credit Card Fraud Prediction Using XGBoost: An Ensemble Learning Approach (pages 1-17)

Krishna Kumar Mohbey, Mohammad Zubair Khan, Ajay Indian

With the development of technology, the internet and eCommerce online payment has become an essential mode of payment. Nowadays, credit card payment is a convenient mode of payment online as well as offline transactions. As online...

Article

Automated Classification of Sleep Stages Using Single-Channel EEG: A Machine Learning-Based Method (pages 1-19)

Santosh Kumar Satapathy, D. Loganathan

The main contribution of this paper is to present a novel approach for classifying the sleep stages based on optimal feature selection with ensemble learning stacking model using single-channel EEG signals.To find the suitable...

Article

A Hybrid Approach of Prediction Using Rating and Review Data (pages 1-13)

Aseem Srivastava, Rafeeq Ahmed, Pradeep Kumar Singh, Mohammed Shuaib, Tanweer Alam

A collaborative filtering technique has proven to be the preferable approach for personalized recommendations. Traditionally, collaborative filtering recommends target items to those users who have similar tastes. The performance of...

Article

Color Image Contrast Enhancement Using Modified Firefly Algorithm (pages 1-18)

Narendra Kumar, Anil Kumar, Krishna Kumar

The image enhancement process is used for improving the standard of the image, it's inspired by the development of human perception pictorial information. Increasing the contrast of the image, removing the unwanted noise from the...

Article

Template-Based Question Answering System Over the Semantic Web (pages 1-17)

Aarthi Dhandapani, Viswanathan Vadivel

A question answering system is the most promising way of retrieving data from the available knowledge base to the end-users to get the appropriate result for their questions. Many question answering systems convert the questions into...

Article

Integration of Multi-Class Service Paradigm With Generic Trust Mechanism for Innovation, Customization and Adaptability in MANETs (pages 1-15)

Nitin Khanna, Sandeep Singh, Anshu Bhasin, Kamal Malik

Trust-based mechanisms are widely used in wireless networks of different kinds for providing security against attack. Trust mechanism provides security from various attacks using both detective and preventive manner. This paper...

Article

Soft Computing-Based Schemes for Handover Management in Future Networks (pages 1-18)

Sandeep Bassi, Punam Rattan, Pooja Dhand

The progression to next generation networks is replete with abundant co-existing technologies. To comply with the always best connected paradigm, several vertical handover decision approaches have been proposed in literature, using...

Article

Taxonomy of Load Balancing Practices in the Cloud Computing Paradigm (pages 1-15)

Mukund Kulkarni, Prachi Deshpande, Sanjay Nalbalwar, Anil Nandgaonkar

Rapid growth in communication technology allows users location-independent access to IT infrastructure at pay-per-use via cloud computing. This has paved a new paradigm in information processing for the consumers. Due to Cloud's...

Article

Detection Mechanism Using Transductive Learning and Support Vectors for Software-Defined Networks (pages 1-22)

Gaganjot Kaur, Prinima Gupta, Yogesh Kumar

SDN has come up as a promising technology for a future network as a logically centralized controlled framework along with its physically distributed architecture isolating the control plane from sending data moving the entire choice...

Article

Ensemble of Support Vector Machine and Ontological Structures to Generate Abstractive Text Summarization (pages 1-24)

Amita Arora

Automatic summarization systems are much needed to lessen the information overload which is being faced by people due to exponential growth of data on World Wide Web. These systems choose the most significant part of the text from a...

Article

Evolutionary Optimization for Prioritized Materialized View Selection: An Exploratory Analysis (pages 1-18)

Heena Madaan, Anjana Gosain

Selecting appropriate views that provide faster query response time is a critical decision in data warehouse design. Top-level users expect quick results from a data warehouse for faster decision-making to gain a competitive edge in...

Article

A Hybrid Approach to Discover Entity Synonyms (pages 1-18)

Mamta Kathuria, Chander Kumar Nagpal, Neelam Duhan

A major part of the current web information retrieval involves the fulfilment of people's daily needs based upon finding entities involving movies, events, persons, places, concepts, etc. The trend has been the outcome of the...

Article

Artificial Intelligence and Deep Learning-Based Information Retrieval Framework for Assessing Student Performance (pages 1-27)

S. L. Gupta, Niraj Mishra

Improving the quality of education is a challenging activity in every educational institution. Through this research paper, a model has been proposed representing the challenges in order to manage the trade-off to maintain the...

Article

Intelligent Information Retrieval for Reducing Missed Cancer and Improving the Healthcare System (pages 1-25)

Madhu Kumari, Prachi Ahlawat

This study presents an intelligent information retrieval system that will effectively extract useful information from breast cancer datasets and utilized that information to build a classification model. The proposed model will...

Article

Design of Context Cluster and Load Balanced Video Recommendation System in Cloud Computing (pages 1-18)

Hanumantharaju R., Sowmya B. J., Aparna R., Shreenath K. N., K. G. Srinivasa, B. S. K. Sharanya

Nowadays, in online social networks, there is an instantaneous extension of multimedia services and there are huge offers of video contents which has hindered users to acquire their interests. To solve these problem different...

Article

Intelligent Framework With Controlled Behavior for Gene Regulatory Network Reconstruction (pages 1-17)

Bhavana Bansal, Aparajita Nanda, Anita Sahoo

Gene Regulatory Networks (GRNs) are the pioneering methodology for finding new gene interactions getting insights of the biological processes using time series gene expression data. It remains a challenge to study the temporal nature...

Article

Exploiting Semantic Term Relations in Text Summarization (pages 1-18)

Kamal Sarkar, Santanu Dam

The traditional frequency based approach to creating multi-document extractive summary ranks sentences based on scores computed by summing up TF*IDF weights of words contained in the sentences. In this approach, TF or term frequency...

Article

An Enhanced Multi-Frequency Distorted Born Iterative Method for Ultrasound Tomography Based on Fundamental Tone and Overtones (pages 1-19)

Tran Quang-Huy, Tuan-Khai Nguyen, Vijender Kumar Solanki, Duc-Tan Tran

Conventional Distorted Born Iterative Method (DBIM) using single frequency has low resolution and is prone to creating images with high-contrast subjects. We propose a productive frequency combination method to better result in...

Article

Query Sense Discovery Approach to Realize the User's Search Intent (pages 1-18)

Tarek Chenaina, Sameh Neji, Abdullah Shoeb

The main goal of information retrieval is getting the most relevant documents to a user’s query. So, a search engine must not only understand the meaning of each keyword in the query but also their relative senses in the context of...

Article

Study on Brain Tumor Classification Through MRI Images Using a Deep Convolutional Neural Network (pages 1-19)

Kirti Sharma, Ketna Khanna, Sapna Gambhir, Mohit Gambhir

Brain tumor (Glioma) is one of the deadliest diseases that attack humans, now even men or women aged 20-30 are suffering from this disease. To cure tumor in a person, doctors use MRI machine, because the results of MRI images are...

Article

A New Content-Based Search Mechanism for Image Retrieval Search Engine (pages 1-16)

Jasmine K. S., Rishav Raj, Mahalakshmi Mabla Naik

In the growing world of technology, where everything is available in just one click, the user expectations has increased with time. In the era of Search Engines, where Google, Yahoo are providing the facility to search through text...

Article

Design of a Parallel and Scalable Crawler for the Hidden Web (pages 1-23)

Sonali Gupta, Komal Kumar Bhatia

The WWW contains huge amount of information from different areas. This information may be present virtually in the form of web pages, media, articles (research journals / magazine), blogs etc. A major portion of the information is...

Article

Short-Term Load Forecasting for a Captive Power Plant Using Artificial Neural Network (pages 1-11)

Vidhi Tiwari, Kirti Pal

The irregularity of Indian grid system increases, with increase in the power demand. The quality of power supplied by the power grid is also poor due to continuous variation in frequency and voltage. To overcome this problem of power...

This content was retracted

Article

Flutter-Based Real-Time Mobile App for Fruit Shelf-Life Prediction (FSP) Using Multi-Modality Imaging (pages 1-20)

Varsha Yogesh Bhole, Arun Kumar

The present work uses flutter and transfer learning-based techniques for predicting the shelf-life of fruits in real-time by reducing the demand for huge number of samples and longer training durations. The work uses mango fruit as a...

Article

A Framework for Automated Scraping of Structured Data Records From the Deep Web Using Semantic Labeling: Semantic Scraper (pages 1-18)

Umamageswari Kumaresan, Kalpana Ramanujam

The intent of this research is to come up with an automated web scraping system which is capable of extracting structured data records embedded in semi-structured web pages. Most of the automated extraction techniques in the...

Article

How Responsible Is AI?: Identification of Key Public Concerns Using Sentiment Analysis and Topic Modeling (pages 1-14)

Dwijendra Nath Dwivedi, Ghanashyama Mahanty, Anilkumar Vemareddy

Many businesses around the World are adopting AI with the hope of increasing their top-line and bottom-line numbers. The COVID19 pandemic has further accelerated the journey. While AI technology promising to bring enormous benefits...

Article

Deep Learning Model for Enhanced Crop Identification From Landsat 8 Images (pages 1-24)

Sucithra B., Angelin Gladston

Deep learning is a powerful state-of-the-art technique for image processing, including remote sensing images. This paper describes a multilevel deep learning based crop type identification system that targets land cover and crop type...

Article

Why-Type Question to Query Reformulation for Efficient Document Retrieval (pages 1-18)

Manvi Breja, Sanjay Kumar Jain

Understanding the actual need of user from a question is very crucial in non-factoid why-question answering as Why-questions are complex and involve ambiguity and redundancy in their understanding. The precise requirement is to...

Article

Hybrid Query Expansion Model Based on Pseudo Relevance Feedback and Semantic Tree for Arabic IR (pages 1-16)

Ahmed Cherif Mazari, Abdelhamid Djeffal

In this paper, the authors propose and readapt a new concept-based approach of query expansion in the context of Arabic information retrieval. The purpose is to represent the query by a set of weighted concepts in order to identify...

Article

An End-to-End Efficient Lucene-Based Framework of Document/Information Retrieval (pages 1-14)

Alaidine Ben Ayed, Ismaïl Biskri, Jean-Guy Meunier

In the context of big data and the 4.0 industrial revolution era, enhancing document/information retrieval frameworks efficiency to handle the ever‐growing volume of text data in an ever more digital world is a must. This article...

Article

Restoring SAR Images Using Effective Image Restoration Approach (pages 1-16)

Vaishnavi P., Angelin Gladston

Landsat 7 Enhanced Thematic Mapper Plus satellite images presents an important data source for many applications related to remote sensing. An effective image restoration method is proposed to fill the missing information in the...

Article

Sarcasm Analysis and Mood Retention Using NLP Techniques (pages 1-23)

Srijita Majumdar, Debabrata Datta, Arpan Deyasi, Soumen Mukherjee, Arup Kumar Bhattacharjee, Anal Acharya

Sarcasm detection in written texts is the Achilles’ heel of research areas in sentiment analysis, especially with the absence of the rightful verbal tone, facial expression or body gesture that leads to random misinterpretations. It...

Article

Border Security and Surveillance System Using IoT (pages 1-21)

Siham Boukhalfa, Abdelmalek Amine, Reda Mohamed Hamou

Security along the international border is a critical process in security assessment; It must be exercised the 24x7. With the advancements in wireless IoT technology, it has become much easier to design, develop and deploy a...

Article

Maxmin Data Range Heuristic-Based Initial Centroid Method of Partitional Clustering for Big Data Mining (pages 1-22)

Kamlesh Kumar Pandey, Diwakar Shukla

The centroid-based clustering algorithm depends on the number of clusters, initial centroid, distance measures, and statistical approach of central tendencies. The initial centroid initialization algorithm defines convergence speed...

Article

Breast Cancer Histopathological Image Classification Using Stochastic Dilated Residual Ghost Model (pages 1-24)

Ramgopal Kashyap

A new deep learning-based classification model called the Stochastic Dilated Residual Ghost (SDRG) was proposed in this work for categorizing histopathology images of breast cancer. The SDRG model used the proposed Multiscale...

Article

Application of Convolution Neural Networks in Web Search Log Mining for Effective Web Document Clustering (pages 1-14)

Suruchi Chawla

The volume of web search data stored in search engine log is increasing and has become big search log data. The web search log has been the source of data for mining based on web document clustering techniques to improve the...

Article

Optimizing Connection Weights in Neural Networks Using Hybrid Metaheuristics Algorithms (pages 1-21)

Rabab Bousmaha, Reda Mohamed Hamou, Abdelmalek Amine

The learning process of artificial neural networks is an important and complex task in the supervised learning field. The main difficulty of training a neural network is the process of fine-tuning the best set of control parameters...

Article

An Improved Text Extraction Approach With Auto Encoder for Creating Your Own Audiobook (pages 1-17)

Shakkthi Rajkumar, Shruthi Muthukumar, Aparna S. S., Angelin Gladston

As we all know, listening makes learning easier and interesting than reading. An audiobook is a software that converts text to speech. Though this sounds good, the audiobooks available in the market are not free and feasible for...

Article

Analysis of Regular Patterns in Un-Weighted Directed Graphs (pages 1-16)

Anand Gupta, Hardeo Kumar Thakur, Anmoll Kumar Jain, Prakhar Rustagi

Time evolving networks tend to have an element of regularity. This regularity is characterized by existence of repetitive patterns in the data sequences of the graph metrics. As per our research, the relevance of such regular...

Article

Reliable Distributed Fuzzy Discretizer for Associative Classification of Big Data (pages 1-13)

Hepzi Jeya Pushparani, Nancy Jasmine Goldena

Data Mining is an essential task because the digital world creates huge data daily. Associative classification is one of the data mining task which is used to carry out classification of data, based on the demand of knowledge users....

Article

A Comparative Evaluation of Different Keyword Extraction Techniques (pages 1-17)

Raj Kishor Bisht

Retrieving keywords in a text is attracting researchers for a long time as it forms a base for many natural language applications like information retrieval, text summarization, document categorization etc. A text is a collection of...

Article

A Novel Approach of Product Recommendation Using Utility-Based Association Rules (pages 1-19)

Stuti Stuti, Kanika Gupta, Nishant Srivastava, Ankita Verma

An exorbitant source of data is easily available but the actual task lies in using this data efficiently. In this article, the aim is to analyse the significant information embedded in the customer purchase behaviour to recommend new...

Article

A Text Mining Framework for Analyzing Change Impact and Maintenance Effort of Software Bug Reports (pages 1-18)

Ruchika Malhotra, Megha Khanna

Software practitioners often strive to achieve a “bug-free” software, though, it is a myth. Software Bug Categorization (SBC) models, which assigns levels (viz. “low”, “moderate” or “high”) to a software bug aid effective bug...

Article

Analysis and Outcome Prediction of Crowdfunding Campaigns (pages 1-14)

Parmeet Kaur, Sanya Deshmukh, Pranjal Apoorva, Simar Batra

Humongous volumes of data are being generated every minute by individual users as well as organizations. This data can be turned into a valuable asset only if it is analyzed, interpreted and used for improving processes or for...

Article

Identification of Reasons Behind Infant Crying Using Acoustic Signal Processing and Deep Neural Network for Neonatal Intensive Care Unit (pages 1-17)

Nagaraj V. Dharwadkar, Amulya A. Dixit, Anil K. Kannur, Mohammad Ali Bandusab Kadampur, Santosh Joshi

Abstract. The infants admitted in the Neonatal Intensive Care Unit (NICU) always need a Hygienic environment and round the clock observations. Infants or the just born babies always express their physical and emotional needs through...

Article

Comparison Analysis of GLCM and PCA on Parkinson's Disease Using Structural MRI (pages 1-15)

Sanjana Tomer, Ketna Khanna, Sapna Gambhir, Mohit Gambhir

Parkinson disease (PD) is a neurological disorder where the dopaminergic neurons experience deterioration. It is caused from the death of the dopamine neurons present in the substantia nigra i.e., the mid part of the brain. The...

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