[HTML][HTML] Blockchain-based IoT devices in supply chain management: a systematic literature review

M Hussain, W Javed, O Hakeem, A Yousafzai… - Sustainability, 2021 - mdpi.com
Through recent progress, the forms of modern supply chains have evolved into complex
networks. The supply chain management systems face a variety of challenges. These …

An insight of deep learning based demand forecasting in smart grids

JM Aguiar-Pérez, MÁ Pérez-Juárez - Sensors, 2023 - mdpi.com
Smart grids are able to forecast customers' consumption patterns, ie, their energy demand,
and consequently electricity can be transmitted after taking into account the expected …

[HTML][HTML] Comparing Long Short-Term Memory (LSTM) and bidirectional LSTM deep neural networks for power consumption prediction

DG da Silva, AA de Moura Meneses - Energy Reports, 2023 - Elsevier
Electric consumption prediction methods are investigated for many reasons, such as
decision-making related to energy efficiency as well as for anticipating demand and the …

Image-based malware classification using VGG19 network and spatial convolutional attention

MJ Awan, OA Masood, MA Mohammed, A Yasin… - Electronics, 2021 - mdpi.com
In recent years the amount of malware spreading through the internet and infecting
computers and other communication devices has tremendously increased. To date …

[HTML][HTML] Real-time DDoS attack detection system using big data approach

MJ Awan, U Farooq, HMA Babar, A Yasin, H Nobanee… - Sustainability, 2021 - mdpi.com
Currently, the Distributed Denial of Service (DDoS) attack has become rampant, and shows
up in various shapes and patterns, therefore it is not easy to detect and solve with previous …

[HTML][HTML] A recommendation engine for predicting movie ratings using a big data approach

MJ Awan, RA Khan, H Nobanee, A Yasin, SM Anwar… - Electronics, 2021 - mdpi.com
In this era of big data, the amount of video content has dramatically increased with an
exponential broadening of video streaming services. Hence, it has become very strenuous …

Fake profile recognition using big data analytics in social media platforms

MJ Awan, MA Khan, ZK Ansari… - International …, 2022 - inderscienceonline.com
Online social media platforms today have many more users than ever before. This increased
fake profiles trends which is harming both social and business entities as fraudsters use …

Short-term load forecasting in smart grids using hybrid deep learning

MM Asiri, G Aldehim, FA Alotaibi, MM Alnfiai… - IEEE …, 2024 - ieeexplore.ieee.org
Load forecasting in Smart Grids (SG) is a major module of current energy management
systems, that play a vital role in optimizing resource allocation, improving grid stability, and …

[HTML][HTML] Cricket match analytics using the big data approach

MJ Awan, SAH Gilani, H Ramzan, H Nobanee, A Yasin… - Electronics, 2021 - mdpi.com
Cricket is one of the most liked, played, encouraged, and exciting sports in today's time that
requires a proper advancement with machine learning and artificial intelligence (AI) to attain …

Big data covid-19 systematic literature review: Pandemic crisis

LA Haafza, MJ Awan, A Abid, A Yasin, H Nobanee… - Electronics, 2021 - mdpi.com
The COVID-19 pandemic has frightened people worldwide, and coronavirus has become
the most commonly used phrase in recent years. Therefore, there is a need for a systematic …