Explanipedia

Automated Detection and Threshold-Based Alerting of Stray Dogs Open

Ambreen Hamadani, Henna Hamadani, Pakcha Hannah Boje, Abdullah Gani, Qudsiya Abdullah Sher-e-Kashmir · 2025

The free-roaming dog population of India poses a serious public safety, health, and animal welfare challenge. Approximately 20 million dog-bite cases and 20,000 rabies-related deaths occur each year in the country. Robust and widespread so…

Strategy for Strengthening Pancasila Values Through Generation Z Character Education at Madrasah Aliyah Galesong, Indonesia) Open

Nirwana Nirwana, Andi Kasmawati, Abdullah Gani, Najamuddin Nasuhan · 2025

Generation Z, who are very close to digital technology, are often exposed to global values and cultures that can affect their understanding of local values such as Pancasila. This study aims to analyze effective learning strategies in inte…

Analysis of the impact of magnetic and electric fields on the environment within the free space of SUTT segment Ulee Kareng - Banda Aceh Open

S Hizas, Abdullah Gani, Ira Devi Sara · 2024

Public concerns exist regarding the potential negative impacts of magnetic and electric fields generated from SUTT lines on the environment and health. This study investigates the validity of this public concern by measuring and analyzing …

Enhanced Quantum Long Short-Term Memory By Using Bidirectional Ring Variational Quantum Circuit Open

Han Qi, Xinyue Lv, Changqing Gong, Abdullah Gani · 2024

With the rapid development of quantum machine learning, Quantum Long Short-Term Memory (QLSTM) have demonstrated quantum advantages in time series forecasting problems. Currently, it has found applications in fields such as financial marke…

Quantum Particle Swarm Optimized Extreme Learning Machine for Intrusion Detection Open

Han Qi, Xinyu Liu, Abdullah Gani, Changqing Gong · 2023

Ensuring a secure online environment hinges on the timely detection of network attacks. Nevertheless, existing detection methods often grapple with the delicate balance between speed and accuracy. In this paper, we introduce a novel intrus…

Comparative study of SPI success factors in global and in-house environment for large-scale software companies Open

Javed Iqbal, Haris Jibran, Ahmad Sami Al‐Shamayleh, Fakhar Abbas, Adnan Akhunzada , et al. · 2023

Background Software process improvement (SPI) is an indispensable phenomenon in the evolution of a software development company that adopts global software development (GSD) or in-house development. Several software development companies d…

Improved qARM algorithm for frequent itemsets search in large-scale data sets Open

Han Qi, L Wang, Dianshuo Fu, Abdullah Gani, Changqing Gong · 2023

The existing Quantum Algorithm for Association Rules Mining(qARM) need to set the quantum oracle of data artificially when mining frequent itemsets, which is very time-consuming when dealing with large-scale data. Based on the C n − X gate…

SLMAS: A Secure and Light Weight Mutual Authentication Scheme for the Smart Wheelchair Open

Abdulwahab Ali Almazroi, Misbah Liaqat, Rana Liaqat Ali, Abdullah Gani · 2023

The modern innovation called the Internet of Things (IoT) empowers individuals to connect to anybody and anything at any point, wherever. The application of the IoT in smart cities concerning smart healthcare management can improve patient…

A Comprehensive Analysis of Security-Based Schemes in Underwater Wireless Sensor Networks Open

Khalid Saeed, Wajeeha Khalil, Ahmad Sami Al‐Shamayleh, Sheeraz Ahmed, Adnan Akhunzada , et al. · 2023

Underwater wireless sensor networks (UWSNs) are comprised of sensor nodes that are deployed under the water having limited battery power and other limited resources. Applications of UWSNs include monitoring the quality of the water, mine d…

Formal Analysis of Trust and Reputation for Service Composition in IoT Open

Abdelmuttlib Ibrahim Abdalla Ahmed, Siti Hafizah Ab Hamid, Abdullah Gani, Ahmed Abdelaziz, Mohammed Abaker · 2023

The exponential growth in the number of smart devices connected to the Internet of Things (IoT) that are associated with various IoT-based smart applications and services, raises interoperability challenges. Service-oriented architecture f…

Analyzing the Impact of Active Attack on the Performance of the AMCTD Protocol in Underwater Wireless Sensor Networks Open

Khalid Saeed, Wajeeha Khalil, Ahmad Sami Al‐Shamayleh, Iftikhar Ahmad, Adnan Akhunzada , et al. · 2023

The exponentially growing concern of cyber-attacks on extremely dense underwater sensor networks (UWSNs) and the evolution of UWSNs digital threat landscape has brought novel research challenges and issues. Primarily, varied protocol evalu…

A framework for designing interactive mobile training course content using augmented reality Open

Saud Al-Amri, Suraya Hamid, Nurul Fazmidar Binti Mohd Noor, Abdullah Gani · 2023

UTILIZATION OF MOBILE AUGMENTED REALITY IN A COURSE CONTENT: AN IMPACT STUDY Open

Saud Al-Amri, Suraya Hamid, Nurul Fazmidar Binti Mohd Noor, Abdullah Gani · 2023

With the rapid evolution of interactive technology, the popularity of mobile augmented reality (MAR) as a learning aid has continued to grow. However, several studies have revealed that research on the impact of AR in the educational domai…

Risk Factors and Practices for the Development of Open Source Software From Developers’ Perspective Open

Shehzad Haider, Wajeeha Khalil, Ahmad Sami Al‐Shamayleh, Adnan Akhunzada, Abdullah Gani · 2023

Open source software (OSS) has achieved popularity, however there are various software product quality problems, security issues and certain challenges confronting the OSS growth that need to be identified and addressed. The main focus of …

International Student Profiling Framework Open

Renugah Rengasamy, Suraya Hamid, Abdullah Gani · 2023

The current conventional way of screening international students, solely based on prior admission and self-reported documents, is inadequate. Given the drastic increase in the number of incoming students, this inadequacy calls for better s…

Detecting and Mitigating DDOS Attacks in SDNs Using Deep Neural Network Open

G. M. Kadhar Nawaz, Muhammad Junaid, Adnan Akhunzada, Abdullah Gani, Shamyla Nawazish , et al. · 2023

Distributed denial of service (DDoS) attack is the most common attack that obstructs a network and makes it unavailable for a legitimate user.We proposed a deep neural network (DNN) model for the detection of DDoS attacks in the Software-D…

Blockchain Federated Learning for In-Home Health Monitoring Open

Komal Farooq, Hassan Jamil Syed, Samar Othman Alqahtani, Wamda Nagmeldin, Ashraf Osman Ibrahim , et al. · 2022

This research combines two emerging technologies, the IoT and blockchain, and investigates their potential and use in the healthcare sector. In healthcare, IoT technology can be utilized for purposes such as remotely monitoring patients’ h…

A Heterogeneous Ensemble Approach for Travel Time Prediction Using Hybridized Feature Spaces and Support Vector Regression Open

Jawad-ur-Rehman Chughtai, Irfan Ul Haq, Saif ul Islam, Abdullah Gani · 2022

Travel time prediction is essential to intelligent transportation systems directly affecting smart cities and autonomous vehicles. Accurately predicting traffic based on heterogeneous factors is highly beneficial but remains a challenging …

Collaborative Detection of Black Hole and Gray Hole Attacks for Secure Data Communication in VANETs Open

Shamim Younas, Faisal Rehman, Tahir Maqsood, Saad Mustafa, Adnan Akhunzada , et al. · 2022

Vehicle ad hoc networks (VANETs) are vital towards the success and comfort of self-driving as well as semi-automobile vehicles. Such vehicles rely heavily on data management and the exchange of Cooperative Awareness Messages (CAMs) for ext…

Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants Open

Asad Hussain, Sheraz Alam, Sajjad A. Ghauri, Mubashir Ali, Hafiz Husnain Raza Sherazi , et al. · 2022

Automatic modulation recognition (AMR) is used in various domains—from general-purpose communication to many military applications—thanks to the growing popularity of the Internet of Things (IoT) and related communication technologies. In …

Retraction Note: Image pattern recognition in big data: taxonomy and open challenges: survey Open

Saber Zerdoumi, Aznul Qalid Md Sabri, Amirrudin Kamsin, Mohamed Hashem, Abdullah Gani , et al. · 2022

Design and Implementation of Real-Time Kitchen Monitoring and Automation System Based on Internet of Things Open

Ch Anwar Ul Hassan, Jawaid Iqbal, Muhammad Sufyan Khan, Saddam Hussain, Adnan Akhunzada , et al. · 2022

Automation can now be found in nearly every industry. However, home automation has yet to reach Pakistan. This paper presents an Internet of Things smart kitchen project that includes automation and monitoring. In this project, a system wa…

Hybrid multi-objective node deployment for energy-coverage problem in mobile underwater wireless sensor networks Open

Salmah Fattah, Ismail Ahmedy, Mohd Yamani Idna Idris, Abdullah Gani · 2022

Underwater wireless sensor networks have grown considerably in recent years and now contribute substantially to ocean surveillance applications, marine monitoring and target detection. However, the existing deployment solutions struggle to…

QGA-QGCNN:A model of Quantum Gate Circuit Neural Network optimized by Quantum Genetic Algorithm Open

Changqing Gong, Hongsheng Zhu, Abdullah Gani, Han Qi · 2022

Using global optimization algorithm to optimize the initial weights and thresholds of traditional neural network model can effectively address the problems of premature convergence and lower accuracy. However, the shortcomings such as slow…

Human Activity Recognition: Review, Taxonomy and Open Challenges Open

Muhammad Haseeb Arshad, Muhammad Bilal, Abdullah Gani · 2022

Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains, and vision and sensor-based data enable cutting-edge technologies to detect, recognize, and monitor human activities. Several reviews and surveys on H…

GRANULAR NETWORK TRAFFIC CLASSIFICATION FOR STREAMING TRAFFIC USING INCREMENTAL LEARNING AND CLASSIFIER CHAIN Open

Faiz Zaki, Firdaus Afifi, Abdullah Gani, Nor Badrul Anuar · 2022

In modern networks, network visibility is of utmost importance to network operators. Accordingly, granular network traffic classification quickly rises as an essential technology due to its ability to provide high network visibility. Granu…

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks Open

Rahat Ullah, Abdullah Gani, Muhammad Shiraz, Imran Khan, Khalid Zaman · 2022

Modern cellular systems have adopted dense frequency reuse to address the growing amount of mobile data traffic. The system capacity is improved accordingly; however, this is at the cost of augmented Inter-Cell Interference (ICI). Recently…

Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images Open

Zeba Ghaffar, Pir Masoom Shah, Hikmat Ullah Khan, Syed Farhan Alam Zaidi, Abdullah Gani , et al. · 2022

The ongoing COVID-19 pandemic has already taken millions of lives and damaged economies across the globe. Most COVID-19 deaths and economic losses are reported from densely crowded cities. It is comprehensible that the effective control an…

Deep Learning Based Disease, Pest Pattern and Nutritional Deficiency Detection System for “Zingiberaceae” Crop Open

Hamna Waheed, Noureen Zafar, Waseem Akram, Awais Manzoor, Abdullah Gani , et al. · 2022

Plants’ diseases cannot be avoided because of unpredictable climate patterns and environmental changes. The plants like ginger get affected by various pests, conditions, and nutritional deficiencies. Therefore, it is essential to identify …

Transfer Learning Auto-Encoder Neural Networks for Anomaly Detection of DDoS Generating IoT Devices Open

Unsub Shafiq, Muhammad K. Shahzad, Muhammad Anwar, Qaisar Shaheen, Muhammad Shiraz , et al. · 2022

Machine Learning based anomaly detection ap- proaches have long training and validation cycles. With IoT devices rapidly proliferating, training anomaly models on a per device basis is impractical. This work explores the “transfer- ability…

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