Blockchain-aware distributed dynamic monitoring: a smart contract for fog-based drone management in land surface changes

AA Khan, ZA Shaikh, AA Laghari, S Bourouis… - Atmosphere, 2021 - mdpi.com
In this paper, we propose a secure blockchain-aware framework for distributed data
management and monitoring. Indeed, images-based data are captured through drones and …

Impact of the integration of first-mile and last-mile drone-based operations from trucks on energy efficiency and the environment

T Bányai - Drones, 2022 - mdpi.com
Supply chain solutions are based on first-mile and last-mile deliveries; their efficiency
significantly influences the total cost of operation. Drone technologies make it possible to …

A portable smart fitness suite for real-time exercise monitoring and posture correction

A Hannan, MZ Shafiq, F Hussain, IM Pires - Sensors, 2021 - mdpi.com
Fitness and sport have drawn significant attention in wearable and persuasive computing.
Physical activities are worthwhile for health, well-being, improved fitness levels, lower …

Secured data transmissions in corporeal unmanned device to device using machine learning algorithm

S Shitharth, S Yonbawi, H Manoharan, A Shankar… - Physical …, 2023 - Elsevier
Cyber–physical systems (CPS) for device-to-device (D2D) communications are gaining
prominence in today's sophisticated data transmission infrastructures. This research intends …

AAQAL: A machine learning-based tool for performance optimization of parallel SPMV computations using block CSR

M Ahmed, S Usman, NA Shah, MU Ashraf… - Applied Sciences, 2022 - mdpi.com
The sparse matrix–vector product (SpMV), considered one of the seven dwarfs (numerical
methods of significance), is essential in high-performance real-world scientific and analytical …

[PDF][PDF] A Predictive Analysis of Retail Sales Fore-casting using Machine Learning Techniques

M Sajawal, S Usman, HS Alshaikh… - … Research Journal of …, 2022 - researchgate.net
In a retail industry, sales forecasting is an important part related to supply chain
management and operations between the retailer and manufacturers. The abundant growth …

A Comparative Study of Parallel and Distributed Big Data programming models: Methodologies, Challenges and Future Directions

FG Hussain, M Wasim, A Nasir - Lahore Garrison University …, 2023 - lgurjcsit.lgu.edu.pk
According to a survey conducted in 2021, users share about 4 petabytes of data on
Facebook daily. The exponential increase in data (called big data) plays a vital role in …

A Novel Approach for Enhanced Feature Selection Over Retails Sales Data Using Ensemble Machine Learning Technique

KN Babu, MM Kodabagi - SN Computer Science, 2024 - Springer
The connection between manufacturers and retailers in the retail industry, as well as supply
chain management, depend heavily on sales forecasting. The efficiency of traditional …

An accurate human emotion recognition framework using machine learning

H Aljahdali - Available at SSRN 4368217, 2023 - papers.ssrn.com
This research paper presents how speech features are used to detect and recognize the
emotions that human is trying to express in their speech. With the help of'Gaussian-Mixture …

Comparative Analysis of Machine Learning Techniques for Predicting Air Pollution

MU Ashraf, F Akram, S Usman - Lahore Garrison University …, 2022 - lgurjcsit.lgu.edu.pk
The modern and motorized way of life has cultured air pollution. Air pollution has become
the biggest rival of robust living. This situation is becoming more lethal in developing …