Muhammad Umar Javed
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REAL-TIME GENDER AND EMOTION RECOGNITION USING OPTIMIZED DUAL-PATH CNN ARCHITECTURE FOR ENHANCED HUMAN-COMPUTER INTERACTION Open
The analysis of facial expressions plays a fundamental role throughout human-computer interaction together with affective computing along with behavioral sciences thereby enabling security surveillance devices as well as healthcare diagnos…
View article: Optimizing Malicious Website Detection Through Comparative Analysis of Machine Learning Techniques
Optimizing Malicious Website Detection Through Comparative Analysis of Machine Learning Techniques Open
The improvement of malware data exploitation risks, which appeared due to malicious websites, as well as an increase in their frequency, is results of modern threats. Modern methods for malicious website detection display a bad performance…
Electricity theft detection for energy optimization using deep learning models Open
The rapid increase in nontechnical loss (NTL) has become a principal concern for distribution system operators (DSOs) over the years. Electricity theft makes up a major part of NTL. It causes losses for the DSOs and also deteriorates the q…
Synthetic Theft Attacks and Long Short Term Memory-Based Preprocessing for Electricity Theft Detection Using Gated Recurrent Unit Open
Electricity theft is one of the challenging problems in smart grids. The power utilities around the globe face huge economic loss due to ET. The traditional electricity theft detection (ETD) models confront several challenges, such as high…
RFE Based Feature Selection and KNNOR Based Data Balancing for Electricity Theft Detection Using BiLSTM-LogitBoost Stacking Ensemble Model Open
Obtaining outstanding electricity theft detection (ETD) performance in the realm of advanced metering infrastructure (AMI) and smart grids (SGs) is quite difficult due to various issues. The issues include limited availability of theft dat…
A Secure and Efficient Energy Trading Model Using Blockchain for a 5G‐Deployed Smart Community Open
A Smart Community (SC) is an essential part of the Internet of Energy (IoE), which helps to integrate Electric Vehicles (EVs) and distributed renewable energy sources in a smart grid. As a result of the potential privacy and security chall…
Secure Message Handling in Vehicular Energy Networks Using Blockchain and Artificially Intelligent IPFS Open
In the underlying work, the problems faced during message dissemination in the conventional Vehicular Energy Networks (VENs) like lack of security, breach of personal identities, absence of trust between vehicle owners, etc., are tackled. …
Adaptive Data Balancing Method Using Stacking Ensemble Model and Its Application to Non-Technical Loss Detection in Smart Grids Open
A stacking ensemble model (SEM) is proposed in this paper to identify non-technical losses. Three layers make up the proposed model. Data pre-processing is performed at the first layer, where issues of data imbalance, missing values, and d…
AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids Open
Electricity theft (ET) is an utmost problem for power utilities because it threatens public safety, disturbs the normal working of grid infrastructure and increases revenue losses. In the literature, many machine learning (ML), deep learni…
Electricity Consumption Forecasting Using Gated-FCN With Ensemble Strategy Open
Accurate electricity consumption forecasting in the power grids ensures efficient generation and distribution of electricity. Keeping this in mind, the paper introduces a novel deep learning model, termed Gated-FCN, for short-term load for…
Blockchain Based Data and Energy Trading in Internet of Electric Vehicles Open
The drastic increase in real-time vehicle generated data of various types has imparted a great concept of data trading in vehicular networks. Whereas immense usage of Electric Vehicles (EVs) as mobile energy carriers have supported distrib…
Scheduling Charging of Electric Vehicles in a Secured Manner by Emphasizing Cost Minimization Using Blockchain Technology and IPFS Open
In this work, Electric Vehicles (EVs) are charged using a new and improved charging mechanism called the Mobile-Vehicle-to-Vehicle (M2V) charging strategy. It is further compared with conventional Vehicle-to-Vehicle (V2V) and Grid-to-Vehic…
Cost Efficient Real Time Electricity Management Services for Green Community Using Fog Open
The computing devices in data centers of cloud and fog remain in continues running cycle to provide services. The long execution state of large number of computing devices consumes a significant amount of power, which emits an equivalent a…
Blockchain-Based Secure Data Storage for Distributed Vehicular Networks Open
In this paper, a blockchain-based secure data sharing mechanism is proposed for Vehicular Networks (VNs). Edge service providers are introduced along with ordinary nodes to efficiently manage service provisioning. The edge service provider…
A Blockchain-Based Load Balancing in Decentralized Hybrid P2P Energy Trading Market in Smart Grid Open
Local energy generation and peer to peer (P2P) energy trading in the local market can reduce the energy consumption cost, emission of harmful gases (as renewable energy sources are used to generate energy at user's premises) and increase t…
Blockchain-Based Energy Trading and Load Balancing Using Contract Theory and Reputation in a Smart Community Open
The rapid deployment of Electric Vehicles (EVs) and the integration of renewable energy sources have ameliorated the existing power systems and contributed to the development of greener smart communities. However, load balancing problems, …
Socio-Political and Socio-Economic Perspectives of Sudan with Special Reference to Darfur Conflict Open
The Darfur conflict exists across the westward region in Sudan, though an emergent domestic conflict, however, aimed at socio-political and socio-economic unrest beyond borders. Following 2003 happenings in Sudan, the problem in Darfur pro…
Russia's Annexation of Crimea and Security Implications for the Baltic States Open
This article discusses Russia's annexation of Crimea and its security implications for the Baltic States. The study exclusively examines two considerable impacts of the Russian annexation of Crimea, in term of its Compatriots and Hybrid wa…
Multi-level Dynamic Optimization of Intelligent LEACH with Cost Effective Deep Belief Network Open
Energy utilization is a key attribute for energy constrained wireless sensor networks (WSN) that directly impacts the life time of the network. LEACH (and its variants) are considered to be the most common energy efficient routing protocol…
Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids Open
A Smart Grid (SG) is a modernized grid to provide efficient, reliable and economic energy to the consumers. Energy is the most important resource in the world. An efficient energy distribution is required as smart devices are increasing dr…
View article: A Review of Blockchain based Educational Projects
A Review of Blockchain based Educational Projects Open
Blockchain is a decentralized and shared dis-tributed ledger that records the transaction history done by totally different nodes within the whole network. The technology is practically used in the field of education for record-keeping, di…