2024:

A Concentration Prediction-Based Crop Digital Twin Using Nutrient Co-Existence and Composition in Regression Algorithms

2024:

Prediction of Course Grades in Computer Science Higher Education Program Via a Combination of Loss Functions in LSTM Model

2023:

Prediction of Course Grades in Computer Science Higher Education Program Via a Combination of Loss Functions in LSTM Model

2022:

Multi-Objective Deep Reinforcement Learning for Recommendation Systems,

2022:

Multiobjective Deep Reinforcement Learning for Recommendation Systems

2021:

Multitasking Learning Model Based on Hierarchical Attention Network for Arabic Sentiment Analysis Classification

2021:

SEQ2SEQ++: A Multitasking-Based Seq2seq Model to Generate Meaningful and Relevant Answers

2020:

Normalization-based Neighborhood Model for Cold Start Problem in Recommendation System

2020:

Latent based temporal optimization approach for improving the performance of collaborative filtering

2020:

Enhancements to the Sequence-to-Sequence Based Natural Answer Generation Models

2020:

A Partitioning-based Approach for Clustering COVID-19 Drugs and Co-Medication for Safe Use

2019:

Open science cyber-infrastructure framework for next generation disaster analytics

2019:

Tensorized Neural Network for Multi-Aspect Rating-Based Recommendation

2019:

Sequence to Sequence Model Performance for Education Chatbot

2019:

Preference learning for eco-friendly hotels recommendation: A multi-criteria collaborative filtering approach

2019:

Temporal Trends Analysis for Dengue Outbreak and Network Threats Severity Prediction Accuracy Improvement

2019:

Narrow Convolutional Neural Network for Arabic Dialects Polarity Classification

2018:

Linguistic-Based SPARQL Translation Model for Semantic Question Answering System

2018:

Temporal-Based Approach to Solve Item Decay Problem in Recommendation System

2018:

State of the Art on Chatbot Response Generation Models

2018:

Embedded Learning For Leveraging Multi-Aspect In Rating Prediction Of Personalized Recommendation

2018:

An enhanced feature representation based on linear regression model for stock market prediction

2018:

Narrow Convolutional Neural Network for Arabic Dialects Polarity

2017:

Empirical Investigation of Feature Sets Effectiveness in Product Review Sentiment Classification

2017:

Review Of The Temporal Recommendation System With Matrix Factorization

2017:

Integrating Structured and Unstructured Financial Information in a Short-timeline-based Linear Regression Model for Stock Price Prediction

2017:

Review on the Advancements of Disambiguation in Semantic Question Answering System

2017:

Normalization-based Neighborhood Model for Cold Start Problem in Recommendation System

2017:

Stock Market Prediction Using Enhanced Sentiment Analysis Based On Linear Regression (ESA-LR) Model

2016:

Temporal-based Approach To Solve Item Decay Problem In Recommendation System

2016:

Ontology-based Aspect Extraction for Product Reviews Sentiment Summarization

2016:

Linguistic Rule-Based Methods for the Extraction of Medical Summaries to Benefit Patients Progression Tracking

2016:

Integrating Structured and Unstructured Financial Information in a Short-timeline-based Linear Regression Model for Stock Price Prediction

2016:

Ensemble Divide and Conquer Approach to Solve the Rating Scores? Deviation in Recommendation System

2015:

A comparative study of evolving fuzzy grammar and machine learning techniques for text categorization

2015:

Linguistic Rule-Based Translation Of Natural LanguageQuestion Into Sparql Query For Effective Semantic Question Answering

2015:

Evolving fuzzy grammar for crime texts categorization

2014:

Self Adaptive based Model for Ambiguity Resolution of the Linked Data Query for Big Data Analytics

2014:

Innovation-enhanced rubrics assessment for final year projects

2014:

State of the Art and Future Opportunities of Sentiment Analysis Approaches for Big Data

2013:

Process-Oriented Ontology Building Methodology for Solving Unbalanced Competency of the Ontology

2013:

Conceptually Related Lexicon Clustering Based On Word Context Association Mining

2013:

Natural Language Query Translation for Semantic Search

2013:

Modelling Knowledge Summarization By Evolving Fuzzy Grammar

2013:

A Review of Natural Language Interfaces for Querying the Semantic Web

2013:

Issues and Challenges in Semantic Question Answering through Natural Language Interface

2013:

Semantic-Based Medical Records Retrieval Via Medical-Context Aware Query Expansion And Ranking

2012:

Evolving Fuzzy Grammar for Crime Texts Categorization

2012:

MODELLING KNOWLEDGE SUMMARIZATION BY EVOLVING FUZZY GRAMMAR

2012:

Conceptually Related Lexicon Generation Based On Word Context Association Mining

2012:

A Comparative Study of Evolving Fuzzy Grammar and Machine Learning Techniques for Text Categorization

2011:

IMS: An Improved Medical Retrieval Model via Medical-Context Aware Query Expansion and Comprehensive Ranking

2011:

Biomedical Retrieval Model Using Medical Hierarchical Conceptual Ranking

2011:

Computational Content Analysis of European Central Bank Statements

2011:

Evolving Fuzzy Grammar for Semi-structured Text Representation