Explanipedia

Data Communication Between PLC Using Internet-Based Modbus Protocol Open

Hamidah Ibrahim, Asep Andang, Firmansyah MSN · 2025

Clinico-Epidemiology and Molecular Detection of Zika Virus in Kassala, Eastern Sudan Open

Yasar Ahmed, Ali Ahmed, Abdualmoniem O. Musa, Hamidah Ibrahim, Dea Musa , et al. · 2025

Zika is a disease transmitted to humans by mosquitoes in Africa, Asia, and America, it’s caused by Zika virus (ZIKV) which is a RNA virus, ZIKV is classified within the family Flaviviridae, genus Flavivirus. The monitoring and diagnosis of…

The Role of Sustainable Development in Re-Using Land Transport in the Cultural Field Open

Reem Ibrahim Elzonfoly, Hamidah Ibrahim, Eman Mohamed Elmasry · 2025

Efficient Top-K Continuous Query Processing Over Sliding Window Model (SWM) Method on Uncertain Data Stream Open

Raja Azhan Syah Raja Wahab, Siti Nurulain Mohd Rum, Hamidah Ibrahim, Iskandar Ishak · 2024

Query processing using the Uncertain Data Stream (UDS) can be complex in many technological scenarios due to inconsistencies, unclear information, and interpretation latency. As a result of both the sheer amount of data generated and the r…

CSQUiD: an index and non-probability framework for constrained skyline query processing over uncertain data Open

Ma’aruf Mohammed Lawal, Hamidah Ibrahim, Nor Fazlida Mohd Sani, Razali Yaakob, Ali A. Alwan · 2024

Uncertainty of data, the degree to which data are inaccurate, imprecise, untrusted, and undetermined, is inherent in many contemporary database applications, and numerous research endeavours have been devoted to efficiently answer skyline …

A User Control Framework for Cloud Data Migration in Software as a Service Open

Danga Imbaji Injuwe, Hamidah Ibrahim, Fatimah Sidi, Iskandar Ishak · 2024

Cloud computing represents the overarching paradigm that enables organizations to leverage cloud services for data storage and application deployment. Nowadays, organizations that use the cloud services can migrate their data using softwar…

A Performance Analysis of Prediction Techniques in Handling High-Dimensional Uncertain Data for the Application of Skyline Query Over Data Stream Open

Mudathir Ahmed Mohamud, Hamidah Ibrahim, Fatimah Sidi, Siti Nurulain Mohd Rum, Zarina Dzolkhifli , et al. · 2024

The proliferation of high-dimensional data in many advanced database applications is a result of today’s technological advancements. These data points that correspond to objects are often without a precise description, which make their rep…

A Review on High-Frequency Trading Forecasting Methods: Opportunity and Challenges for Quantum Based Method Open

Visalakshi Palaniappan, Iskandar Ishak, Hamidah Ibrahim, Fatimah Sidi, Zuriati Ahmad Zukarnain · 2024

High frequency trading, often known as HFT, is a subset of algorithmic trading, which is one of the most significant improvements to the trading environment in recent years. Algorithmic trading gives traders the ability to trade or receive…

A review of few-shot image recognition using semantic information Open

Liyong Guo, Erzam Marlisah, Hamidah Ibrahim, Noridayu Manshor · 2023

In recent years, the utilization of deep learning techniques has been employed in the field of image recognition with the aim of improving performance. However, deep learning demands a substantial amount of labeled data for model training,…

Peer Review #1 of "Collaborative caching discovery management in mobile ad hoc networks environments (v0.1)" Open

Hussain Alshahrani, Mohamed Ahmed Elfaki, Hamidah Ibrahim, Nawfal Ali · 2023

Accessing distant data items in Mobile Ad Hoc Networks (MANETs) environments pose a huge challenge due to mobility and resource constraints.A number of research studies are developed to enhance data accessibility and decrease the number of…

Collaborative caching discovery management in mobile ad hoc networks environments Open

Hussain Alshahrani, Mohamed Ahmed Elfaki, Hamidah Ibrahim, Nawfal Ali · 2023

Accessing distant data items in mobile ad hoc networks (MANETs) environments pose a huge challenge due to mobility and resource constraints. A number of research studies have been developed to enhance data accessibility and decrease the nu…

Peer Review #3 of "Collaborative caching discovery management in mobile ad hoc networks environments (v0.2)" Open

Hussain Alshahrani, Mohamed Ahmed Elfaki, Hamidah Ibrahim, Nawfal Ali · 2023

Accessing distant data items in Mobile Ad Hoc Networks (MANETs) environments pose a huge challenge due to mobility and resource constraints.A number of research studies are developed to enhance data accessibility and decrease the number of…

Peer Review #3 of "Collaborative caching discovery management in mobile ad hoc networks environments (v0.1)" Open

Hussain Alshahrani, Mohamed Ahmed Elfaki, Hamidah Ibrahim, Nawfal Ali · 2023

Accessing distant data items in Mobile Ad Hoc Networks (MANETs) environments pose a huge challenge due to mobility and resource constraints.A number of research studies are developed to enhance data accessibility and decrease the number of…

A Systematic Literature Review of Skyline Query Processing Over Data Stream Open

Mudathir Ahmed Mohamud, Hamidah Ibrahim, Fatimah Sidi, Siti Nurulain Mohd Rum, Zarina Dzolkhifli , et al. · 2023

Recently, skyline query processing over data stream has gained a lot of attention especially from the database community owing to its own unique challenges. Skyline queries aims at pruning a search space of a potential large multi-dimensio…

Deep Learning-Based Recommendation System: Systematic Review and Classification Open

Li Caiwen, Iskandar Ishak, Hamidah Ibrahim, Maslina Zolkepli, Fatimah Sidi , et al. · 2023

In recent years, recommendation systems have become essential for businesses to enhance customer satisfaction and generate revenue in various domains, such as e-commerce and entertainment. Deep learning techniques have significantly improv…

A Continuous Region-Based Skyline Computation for a Group of Mobile Users Open

Ghoncheh Babanejad Dehaki, Hamidah Ibrahim, Ali A. Alwan, Fatimah Sidi, Nur Izura Udzir , et al. · 2022

Skyline queries, which are based on the concept of Pareto dominance, filter the objects from a potentially large multi-dimensional collection of objects by keeping the best, most favoured objects in satisfying the user′s preferences. With …

Replication Strategy with Comprehensive Data Center Selection Method in燙loud Environments Open

M. A. Fazlina, Rohaya Latip, Hamidah Ibrahim, Azizol Abdullah · 2022

As the amount of data continues to grow rapidly, the variety of data produced by applications is becoming more affluent than ever. Cloud computing is the best technology evolving today to provide multi-services for the mass and variety of …

ExtraImpute: A Novel Machine Learning Method for Missing Data Imputation Open

Mustafa Alabadla, Fatimah Sidi, Iskandar Ishak, Hamidah Ibrahim, Lilly Suriani Affendey , et al. · 2022

Trust-based Access Control Model with Quantification Method for Protecting Sensitive Attributes Open

Mohd Rafiz Salji, Nur Izura Udzir, Mohd Izuan Hafez Ninggal, Nor Fazlida Mohd Sani, Hamidah Ibrahim · 2022

The prevailing trend of the seamless digital collec-tion has prompted privacy concerns to the organization. In enforc-ing the automation of privacy policies and laws, access control has been one of the most devoted subjects. Despite the re…

An Effective Source Number Enumeration Approach Based on SEMD Open

Shengguo Ge, Siti Nurulain Mohd Rum, Hamidah Ibrahim, Erzam Marsilah, Thinagaran Perumal · 2022

In signal processing, empirical mode decomposition (EMD) first decomposes the received single-channel signal into several intrinsic mode functions (IMFs) and a residual, and then uses machine learning methods for source number enumeration.…

Systematic Review of Using Machine Learning in Imputing Missing Values Open

Mustafa Alabadla, Fatimah Sidi, Iskandar Ishak, Hamidah Ibrahim, Lilly Suriani Affendey , et al. · 2022

Missing data are a universal data quality problem in many domains, leading to misleading analysis and inaccurate decisions. Much research has been done to investigate the different mechanisms of missing data and the proper techniques in ha…

Efficient Region-Based Skyline Computation for a Group of Users Open

Ghoncheh Babanejad Dehaki, Hamidah Ibrahim, Ali A. Alwan, Fatimah Sidi, Nur Izura Udzir , et al. · 2022

Recently, with the advancement of technology, ad-hoc meetings or impromptu gatherings are becoming more and more common. The meetings/gatherings which involve at least two people will require a specific physical point location that is usef…

Theoretical Frameworks for Improving the Computation of Skylines Over Uncertain Data Open

Ma’aruf Mohammed Lawal, Hamidah Ibrahim, Nor Fazlida Mohd Sani, Razali Yakoob · 2022

Computing Skylines Over Uncertain Data Open

Ma’aruf Mohammed Lawal, Hamidah Ibrahim, Nor Fazlida Mohd Sani, Razali Yakoob · 2022

Crucial File Selection Strategy (CFSS) for Enhanced Download Response Time in Cloud Replication Environments Open

M.A. Fazlina, Rohaya Latip, Azizol Abdullah, Hamidah Ibrahim, Mohamed A. Alrshah · 2021

Cloud Computing is a mass platform to serve high volume data from multi-devices and numerous technologies. Cloud tenants have a high demand to access their data faster without any disruptions. Therefore, cloud providers are struggling to e…

An Effective Naming Heterogeneity Resolution for XACML Policy Evaluation in a Distributed Environment Open

Teo Poh Kuang, Hamidah Ibrahim, Fatimah Sidi, Nur Izura Udzir, Ali A. Alwan · 2021

Policy evaluation is a process to determine whether a request submitted by a user satisfies the access control policies defined by an organization. Naming heterogeneity between the attribute values of a request and a policy is common due t…

A Fragmentation Region-based Skyline Computation Framework for a Group of Users Open

Ghoncheh Babanejad Dehaki, Hamidah Ibrahim, Nur Izura Udzir, Fatimah Sidi, Ali A. Alwan · 2021

Skyline processing, an established preference evaluation technique, aims at discovering the best, most preferred objects, i.e. those that are not dominated by other objects, in satisfying the user’s preferences. In today’s society, due to …

A Method for Processing Top-k Continuous Query on Uncertain Data Stream in Sliding Window Model Open

Raja Azhan Syah Raja Wahab, Siti Nurulain Mohd Rum, Hamidah Ibrahim, Fatimah Sidi, Iskandar Ishak · 2021

The data stream is a series of data generated at sequential time from different sources. Processing such data is very important in many contemporary applications such as sensor networks, RFID technology, mobile computing and many more. The…

A Ridesharing Recommendation Framework with Hard and Soft Constraints Open

Mow Kim, Hamidah Ibrahim · 2021

IDSA: An Efficient Algorithm for Skyline Queries Computation on Dynamic and Incomplete Data With Changing States Open

Yonis Gulzar, Ali A. Alwan, Hamidah Ibrahim, Sherzod Turaev, Sharyar Wani , et al. · 2021

Skyline queries have been widely used as an effective query tool in many contemporary database applications. The main concept of skyline queries relies on retrieving the non-dominated tuples in the database which are known skylines. In mos…

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