[HTML][HTML] Applications of Machine Learning in cricket: A systematic review

I Wickramasinghe - Machine Learning with Applications, 2022 - Elsevier
Cricket has become a famous team game around the globe, and it is considered the world's
second most popular sport (Pathak and Wadhwa, 2016). The plethora of available cricket …

Machine learning in sports science: challenges and opportunities

C Richter, M O'Reilly, E Delahunt - Sports Biomechanics, 2024 - Taylor & Francis
Sport scientists could benefit from knowing about the processes underpinning machine
learning (ML) and its practical applications, as it has substantial implications for our field. ML …

Peer-to-peer energy trading mechanism based on blockchain and machine learning for sustainable electrical power supply in smart grid

F Jamil, N Iqbal, S Ahmad, D Kim - Ieee Access, 2021 - ieeexplore.ieee.org
It is expected that peer to peer energy trading will constitute a significant share of research in
upcoming generation power systems due to the rising demand of energy in smart …

Integration of blockchain, IoT and machine learning for multistage quality control and enhancing security in smart manufacturing

Z Shahbazi, YC Byun - Sensors, 2021 - mdpi.com
Smart manufacturing systems are growing based on the various requests for predicting the
reliability and quality of equipment. Many machine learning techniques are being examined …

Optimal smart contract for autonomous greenhouse environment based on IoT blockchain network in agriculture

F Jamil, M Ibrahim, I Ullah, S Kim, HK Kahng… - … and Electronics in …, 2022 - Elsevier
Abstract The Internet of Things (IoT) has been widely adopted in many smart applications
such as smart cities, healthcare, smart farms, industry etc. In recent few years, the …

A procedure for tracing supply chains for perishable food based on blockchain, machine learning and fuzzy logic

Z Shahbazi, YC Byun - Electronics, 2020 - mdpi.com
One of the essential points of food manufacturing in the industry and shelf life of the products
is to improve the food traceability system. In recent years, the food traceability mechanism …

40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges

M Nazarahari, H Rouhani - Information Fusion, 2021 - Elsevier
Technological developments over the past two decades have resulted in the development of
more accurate and lightweight low-cost magnetic and inertial measurement units (MIMUs) …

Towards secure fitness framework based on IoT-enabled blockchain network integrated with machine learning algorithms

F Jamil, HK Kahng, S Kim, DH Kim - Sensors, 2021 - mdpi.com
Blockchain technology has recently inspired remarkable attention due to its unique features,
such as privacy, accountability, immutability, and anonymity, to name of the few. In contrast …

Real-time locating system in production management

A Rácz-Szabó, T Ruppert, L Bántay, A Löcklin, L Jakab… - Sensors, 2020 - mdpi.com
Real-time monitoring and optimization of production and logistics processes significantly
improve the efficiency of production systems. Advanced production management solutions …

Improving transactional data system based on an edge computing–blockchain–machine learning integrated framework

Z Shahbazi, YC Byun - Processes, 2021 - mdpi.com
The modern industry, production, and manufacturing core is developing based on smart
manufacturing (SM) systems and digitalization. Smart manufacturing's practical and …