J. L. Walsh
YOU?
Author Swipe
View article: Energy absorbing characteristics of carbon fiber sandwich composites with all-natural expanded cork core
Energy absorbing characteristics of carbon fiber sandwich composites with all-natural expanded cork core Open
Natural and environmentally friendly composite materials are becoming more popular due to growing ecological and energy concerns. Expanded cork agglomerate is a 100% natural agglomerate structure created by heating cork bark granules with …
View article: Exploring the Unseen: A Survey of Multi-Sensor Fusion and the Role of Explainable AI (XAI) in Autonomous Vehicles
Exploring the Unseen: A Survey of Multi-Sensor Fusion and the Role of Explainable AI (XAI) in Autonomous Vehicles Open
Autonomous vehicles (AVs) rely heavily on multi-sensor fusion to perceive their environment and make critical, real-time decisions by integrating data from various sensors such as radar, cameras, Lidar, and GPS. However, the complexity of …
View article: Exploring the Unseen: A Survey of Multi-Sensor Fusion and the Role of Explainable AI (XAI) in Autonomous Vehicles
Exploring the Unseen: A Survey of Multi-Sensor Fusion and the Role of Explainable AI (XAI) in Autonomous Vehicles Open
Autonomous vehicles (AVs) rely heavily on multi-sensor fusion to perceive their environment and make critical, real-time decisions by integrating data from various sensors such as radar, cameras, Lidar, and GPS. However, the complexity of …
View article: Bridging the Maturity Gaps in Industrial Data Science: Navigating Challenges in IoT-Driven Manufacturing
Bridging the Maturity Gaps in Industrial Data Science: Navigating Challenges in IoT-Driven Manufacturing Open
This narrative review evaluates the curtail components of data maturity in manufacturing industries, the associated challenges, and the application of industrial data science (IDS) to improve organisational decision-making. As data availab…
View article: Predictive Maintenance in Industry 4.0: A Review of Data Processing Methods
Predictive Maintenance in Industry 4.0: A Review of Data Processing Methods Open
View article: Industrial IoT-Based Energy Monitoring System: Using Data Processing at Edge
Industrial IoT-Based Energy Monitoring System: Using Data Processing at Edge Open
Edge-assisted IoT technologies combined with conventional industrial processes help evolve diverse applications under the Industrial IoT (IIoT) and Industry 4.0 era by bringing cloud computing technologies near the hardware. The resulting …
View article: Deep Learning-Based Boolean, Time Series, Error Detection, and Predictive Analysis in Container Crane Operations
Deep Learning-Based Boolean, Time Series, Error Detection, and Predictive Analysis in Container Crane Operations Open
Deep learning is crucial in marine logistics and container crane error detection, diagnosis, and prediction. A novel deep learning technique using Long Short-Term Memory (LSTM) detected and anticipated errors in a system with imbalanced da…
View article: Advancements in Real-Time Monitoring of Enteric Methane Emissions from Ruminants
Advancements in Real-Time Monitoring of Enteric Methane Emissions from Ruminants Open
The agricultural sector is responsible for a significant proportion of global anthropogenic methane (CH4) emissions, with enteric CH4 produced from ruminant livestock representing approximately 28% of the total. The development of effectiv…
View article: An upgrade for the CeC cathode deposition system: co-deposition of K₂CsSb and CsTe/GaAs for CeC use
An upgrade for the CeC cathode deposition system: co-deposition of K₂CsSb and CsTe/GaAs for CeC use Open
Properties such as high quantum efficiency (QE), low thermal emittance, and longevity are crucial features for the rapidly developing electron accelorators. Compared to the traditional sequential deposition, the co-evaporation method is re…
View article: Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery
Review of Data Processing Methods Used in Predictive Maintenance for Next Generation Heavy Machinery Open
Vibration-based condition monitoring plays an important role in maintaining reliable and effective heavy machinery in various sectors. Heavy machinery involves major investments and is frequently subjected to extreme operating conditions. …
View article: A Novel Edge Platform Streamlining Connectivity between Modern Edge Devices and the Cloud
A Novel Edge Platform Streamlining Connectivity between Modern Edge Devices and the Cloud Open
This study presents a newly developed edge computing platform designed to enhance connectivity between edge devices and the cloud in the agricultural sector. Addressing the challenge of synchronizing a central database across 850 remote fa…
View article: An In-Depth Study of Vibration Sensors for Condition Monitoring
An In-Depth Study of Vibration Sensors for Condition Monitoring Open
Heavy machinery allows for the efficient, precise, and safe management of large-scale operations that are beyond the abilities of humans. Heavy machinery breakdowns or failures lead to unexpected downtime, increasing maintenance costs, pro…
View article: Bed Management System Implementation: Experimental Study
Bed Management System Implementation: Experimental Study Open
View article: Development and evaluation of multiple optical trapping of colloidal particles using computer generated structured light fields
Development and evaluation of multiple optical trapping of colloidal particles using computer generated structured light fields Open
Colloidal particles are small particles ranging in size from nanometres to micrometres suspended in a fluid. Amongst many scientific and biological applications, they have been used to model crystallisation, vitrification, and particle int…
View article: An Efficient Siamese Network and Transfer Learning-Based Predictive Maintenance System for More Sustainable Manufacturing
An Efficient Siamese Network and Transfer Learning-Based Predictive Maintenance System for More Sustainable Manufacturing Open
Legacy machinery poses a specific challenge when integrated into modern manufacturing lines. While modern machinery provides swift methods of integration and inbuilt predictive maintenance (PdM), older machines, while physically fully func…
View article: Latent Space Cartography for Geometrically Enriched Latent Spaces
Latent Space Cartography for Geometrically Enriched Latent Spaces Open
There have been many developments in recent years on the exploitation of non-Euclidean geometry for the better representation of the relation between subgroups in datasets. Great progress has been made in this field of Disentangled Represe…
View article: Two- and Three-Dimensional Computer Vision Techniques for More Reliable Body Condition Scoring
Two- and Three-Dimensional Computer Vision Techniques for More Reliable Body Condition Scoring Open
This article identifies the essential technologies and considerations for the development of an Automated Cow Monitoring System (ACMS) which uses 3D camera technology for the assessment of Body Condition Score (BCS). We present a compariso…
View article: Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning
Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning Open
Fine-Grained Change Detection and Regression Analysis are essential in many applications of ArtificialIntelligence. In practice, this task is often challenging owing to the lack of reliable ground truth information andcomplexity arising fr…
View article: Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review
Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review Open
The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring, intelligent analytics, and control of industrial processes. However, as the industrial world is currently in its initial stage of adopting full-stack de…
View article: Dynamic Reduction-Based Virtual Models for Digital Twins—A Comparative Study
Dynamic Reduction-Based Virtual Models for Digital Twins—A Comparative Study Open
Digital models are the foundation of digital twins, which form the basis of autonomous off-road vehicles. Developing virtual models of off-road vehicles using dynamic reduction techniques is one of several approaches. The article commences…
View article: Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review
Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review Open
The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring, intelligent analytics, and control of industrial processes. A reference architecture provides the general layout information for the flexible integratio…
View article: Dynamic Reduction-based Virtual Models for Digital Twins-A Comparative Study
Dynamic Reduction-based Virtual Models for Digital Twins-A Comparative Study Open
Digital twins are the foundation of autonomous off-road vehicles. Dynamic reduction methods are one of several ways to develop digital twins for off-road vehicles. The article commences with a comprehensive overview of the most widely used…
View article: IoT-based system for monitoring conditions in an industrial painting booth
IoT-based system for monitoring conditions in an industrial painting booth Open
During the last decades, the Internet of Things (IoT) has evolved significantly and the advances in sensors, networking and processing technologies have enabled the adoption of IoTbased concepts and solutions across different fields. Tempe…
View article: IoT-based system for monitoring conditions in an industrial painting booth
IoT-based system for monitoring conditions in an industrial painting booth Open
During the last decades, the Internet of Things (IoT) has evolved significantly and the advances in sensors, networking and processing technologies have enabled the adoption of IoT-based concepts and solutions across different fields. Temp…
View article: IoT-based system for monitoring conditions in an industrial painting booth
IoT-based system for monitoring conditions in an industrial painting booth Open
During the last decades, the Internet of Things (IoT) has evolved significantly and the advances in sensors, networking and processing technologies have enabled the adoption of IoTbased concepts and solutions across different fields. Tempe…
View article: IoT-based system for monitoring conditions in an industrial painting booth
IoT-based system for monitoring conditions in an industrial painting booth Open
During the last decades, the Internet of Things (IoT) has evolved significantly and the advances in sensors, networking and processing technologies have enabled the adoption of IoTbased concepts and solutions across different fields. Tempe…
View article: Association of rumination with milk yield of early, mid and late lactation dairy cows
Association of rumination with milk yield of early, mid and late lactation dairy cows Open
Identification of the associations of cow feeding behaviour with milk yield (MY) is important for supporting recommendations of strategies that optimize MY. The objective of this study was to identify associations between measures of rumin…
View article: REEdI Design Thinking for Developing Engineering Curricula
REEdI Design Thinking for Developing Engineering Curricula Open
Universities are coming under increasing pressure to re-invent the way that engineering is taught in order to produce graduates that are capable of meeting the skills needs of the country’s industries. This paper described an active projec…
View article: Association of Feed Efficiency, Feeding Rate, and Behaviour with the Milk Performance of Dairy Cows
Association of Feed Efficiency, Feeding Rate, and Behaviour with the Milk Performance of Dairy Cows Open
Identification of the associations of cow feed efficiency with feeding behaviour and milk production is important for supporting recommendations of strategies that optimise milk yield. The objective of this study was to identify associatio…
View article: Representation Learning for Fine-Grained Change Detection
Representation Learning for Fine-Grained Change Detection Open
Fine-grained change detection in sensor data is very challenging for artificial intelligence though it is critically important in practice. It is the process of identifying differences in the state of an object or phenomenon where the diff…