Harsha Moraliyage
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View article: A Systematic Review of Responsible Artificial Intelligence Principles and Practice
A Systematic Review of Responsible Artificial Intelligence Principles and Practice Open
The accelerated development of Artificial Intelligence (AI) capabilities and systems is driving a paradigm shift in productivity, innovation and growth. Despite this generational opportunity, AI is fraught with significant challenges and r…
View article: RACER: A Lightweight Distributed Consensus Algorithm for the IoT with Peer-Assisted Latency-Aware Traffic Optimisation
RACER: A Lightweight Distributed Consensus Algorithm for the IoT with Peer-Assisted Latency-Aware Traffic Optimisation Open
Internet-of-Things (IoT) devices are interconnected objects embedded with sensors and software, enabling data collection and exchange. These devices encompass a wide range of applications, from household appliances to industrial systems, d…
View article: Robotic Motion Intelligence Using Vector Symbolic Architectures and Blockchain-Based Smart Contracts
Robotic Motion Intelligence Using Vector Symbolic Architectures and Blockchain-Based Smart Contracts Open
The rapid adoption of artificial intelligence (AI) systems, such as predictive AI, generative AI, and explainable AI, is in contrast to the slower development and uptake of robotic AI systems. Dynamic environments, sensory processing, mech…
View article: Responsible Artificial Intelligence Hyper-Automation with Generative AI Agents for Sustainable Cities of the Future
Responsible Artificial Intelligence Hyper-Automation with Generative AI Agents for Sustainable Cities of the Future Open
Smart cities are Hyper-Connected Digital Environments (HCDEs) that transcend the boundaries of natural, human-made, social, virtual, and artificial environments. Human activities are no longer confined to a single environment as our presen…
View article: Explainable Artificial Intelligence with Integrated Gradients for the Detection of Adversarial Attacks on Text Classifiers
Explainable Artificial Intelligence with Integrated Gradients for the Detection of Adversarial Attacks on Text Classifiers Open
Text classifiers are Artificial Intelligence (AI) models used to classify new documents or text vectors into predefined classes. They are typically built using supervised learning algorithms and labelled datasets. Text classifiers produce …
View article: An artificial intelligence framework for explainable drift detection in energy forecasting
An artificial intelligence framework for explainable drift detection in energy forecasting Open
Accurate energy consumption forecasting is crucial for reducing operational costs, achieving net-zero carbon emissions, and ensuring sustainable buildings and cities of the future. Despite the frequent use of Artificial Intelligence (AI) a…
View article: The Human-Centred Design of a Universal Module for Artificial Intelligence Literacy in Tertiary Education Institutions
The Human-Centred Design of a Universal Module for Artificial Intelligence Literacy in Tertiary Education Institutions Open
Generative Artificial Intelligence (AI) is heralding a new era in AI for performing a spectrum of complex tasks that are indistinguishable from humans. Alongside language and text, Generative AI models have been built for all other modalit…
View article: Optimizing Generative AI Chatbots for Net-Zero Emissions Energy Internet-of-Things Infrastructure
Optimizing Generative AI Chatbots for Net-Zero Emissions Energy Internet-of-Things Infrastructure Open
Internet-of-Things (IoT) technologies have been steadily adopted and embedded into energy infrastructure following the rapid transformation of energy grids through distributed consumption, renewables generation, and battery storage. The da…
View article: A Comparative Analysis of Machine Learning-Based Energy Baseline Models across Multiple Building Types
A Comparative Analysis of Machine Learning-Based Energy Baseline Models across Multiple Building Types Open
Building energy baseline models, particularly machine learning-based models, are a core aspect in the evaluation of building energy performance to identify inefficient energy consumption behavior. In smart city design, energy planners and …
View article: A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions
A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions Open
Rapid urbanization across the world has led to an exponential increase in demand for utilities, electricity, gas and water. The building infrastructure sector is one of the largest global consumers of electricity and thereby one of the lar…
View article: Multimodal Classification of Onion Services for Proactive Cyber Threat Intelligence Using Explainable Deep Learning
Multimodal Classification of Onion Services for Proactive Cyber Threat Intelligence Using Explainable Deep Learning Open
The dark web has been confronted with a significant increase in the number and variety of onion services of illegitimate and criminal intent. Anonymity, encryption, and the technical complexity of the Tor network are key challenges in dete…
View article: Cancer in Lockdown: Impact of the COVID-19 Pandemic on Patients with Cancer
Cancer in Lockdown: Impact of the COVID-19 Pandemic on Patients with Cancer Open
The lockdown measures of the ongoing COVID-19 pandemic have disengaged patients with cancer from formal health care settings, leading to an increased use of social media platforms to address unmet needs and expectations. Although remote he…