Outputs (69)

HCMMA-Net: A Hybrid Convolutional Multi-Modal Attention Network for Human Activity Recognition in Smart Homes Using Wearable Sensor Data (2025)
Journal Article

Human activity recognition (HAR) plays a pivotal role in applications such as healthcare monitoring, fitness tracking, and smart homes. Multi-modal sensor data from wearable devices offers diverse perspectives on human motion, enhancing recognition a... Read More about HCMMA-Net: A Hybrid Convolutional Multi-Modal Attention Network for Human Activity Recognition in Smart Homes Using Wearable Sensor Data.

Robotizing Safety: Prospects and Barriers of Robotic Technology Adoption for Construction Injury Prevention in the UK (2025)
Thesis

The utilization of robots in the construction sector has garnered significant attention in recent years, presenting itself as a transformative technology reshaping traditional construction practices—an industry notorious for its high incidence of inj... Read More about Robotizing Safety: Prospects and Barriers of Robotic Technology Adoption for Construction Injury Prevention in the UK.

Developing a framework and understanding the key influencing factors for the implementation of the Internet of Things (IoT) in the UK Construction Sector. (2024)
Thesis

The construction industry can be identified as one of the least digitized industries in the world,
drastically underperforming less in terms of profitability, productivity, reliability, efficiency, and
safety in comparison to the global economy tha... Read More about Developing a framework and understanding the key influencing factors for the implementation of the Internet of Things (IoT) in the UK Construction Sector..

Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability (2024)
Journal Article

The soil packing, influenced by variations in grain size and the gradation pattern within the soil matrix, plays a crucial role in constituting the mechanical properties of sandy soils. However, previous modeling approaches have overlooked incorporat... Read More about Artificial Intelligence-Driven Enhanced CBR Modeling of Sandy Soils Considering Broad Grain Size Variability.

Xây dựng tiên tiến: Khái niệm, cách tiếp cận và ý nghĩa (Modern methods of construction: concepts, approaches, and implications) (2024)
Journal Article

The construction industry is currently facing significant challenges, including low productivity and negative environmental impacts. This paper explores the concept of modern methods of construction, aiming to clarify its scope and differentiate it f... Read More about Xây dựng tiên tiến: Khái niệm, cách tiếp cận và ý nghĩa (Modern methods of construction: concepts, approaches, and implications).

An Overview of Smart Cities Key Components (2024)
Presentation / Conference Contribution

In response to the challenges of modern urbanisation, the smart city concept emerged as a promising approach to creating a sustainable and efficient urban environment. Smart cities using the latest technology and data-based solutions are aimed at opt... Read More about An Overview of Smart Cities Key Components.

An investigation of energy saving behaviour for residential buildings in Nigeria (2023)
Thesis

Threats of climate change, global warming and uncertainty about future energy prices have sparked a global discussion about energy efficiency, particularly energy saving behaviour in residential buildings. Numerous challenges have been faced in achie... Read More about An investigation of energy saving behaviour for residential buildings in Nigeria.

The role of machine learning and the internet of things in smart buildings for energy efficiency (2022)
Journal Article
Shah, S., Iqbal, M., Aziz, Z., Rana, T., Khalid, A., Cheah, Y., & Arif, A. (2022). The role of machine learning and the internet of things in smart buildings for energy efficiency. Applied Sciences, 12(15), 7882. https://doi.org/10.3390/app12157882

Machine learning can be used to automate a wide range of tasks. Smart buildings, which use the Internet of Things (IoT) to connect building operations, enable activities, such as monitoring temperature, safety, and maintenance, for easier controlling... Read More about The role of machine learning and the internet of things in smart buildings for energy efficiency.

Privacy shield: a system for edge computing using asynchronous federated learning (2022)
Journal Article
Khalid, A., Aziz, Z., & Fathi, M. (2022). Privacy shield: a system for edge computing using asynchronous federated learning. Scientific Programming, 2022, https://doi.org/10.1155/2022/7465640

Due to increase in IoT devices, the data produced every day are also increasing rapidly. The growth in data means more processing and more computations are required without delay. This introduced us to a new horizon of the computing infrastructure, i... Read More about Privacy shield: a system for edge computing using asynchronous federated learning.

Blockchain-Based Authentication and Trust Management Mechanism for Smart Cities (2022)
Journal Article
Asif, M., Aziz, Z., Bin Ahmad, M., Khalid, A., Waris, H. A., & Gilani, A. (2022). Blockchain-Based Authentication and Trust Management Mechanism for Smart Cities. Sensors, 22(7), 2604. https://doi.org/10.3390/s22072604

Security has always been the main concern for the internet of things (IoT)-based systems. Blockchain, with its decentralized and distributed design, prevents the risks of the existing centralized methodologies. Conventional security and privacy archi... Read More about Blockchain-Based Authentication and Trust Management Mechanism for Smart Cities.