A baud-rate full-duplex transmission unit for subscriber loops. - Andrew Jennings; Bruce R. Clarke (IEEE Trans. Commun., 1990)

AI in Telecommunications. - Andrew Jennings; Adam E. Irgon; Akira Kurematsu; Greg Vessonder; Jon R. Wright (IJCAI, 1991)

Parallel Distributed Belief Networks That Learn. - Wilson X. Wen; Andrew Jennings (IJCAI, 1991)

Self-generating vs. self-organizing, what's different? - Wilson X. Wen; V. Pang; Andrew Jennings (ICNN, 1993)

A User Model Neural Network for a Personal News Service. - Andrew Jennings; Hideyuki Higuchi (User Model. User Adapt. Interact., 1993)

RoboCup97: An Omnidirectional Perspective. - Andrew R. Price; Andrew Jennings; John Kneen (RoboCup, 1997)

Learning, Deciding, Predicting: The Soccer Playing Mind. - Andrew R. Price; Andrew Jennings; John Kneen; Elizabeth A. Kendall (RoboCup, 1997)

A Nonrigid-Body Approach to Mammogram Registration for Comparative Analysis. - Michael A. Wirth; Christopher Choi; Andrew Jennings (IVCNZ, 1998)

RMIT Raiders. - James Brusey; Andrew Jennings; Mark Makies; Chris Keen; Anthony Kendall; Lin Padgham; Dhirendra Singh (RoboCup, 1999)

DSP application in e-commerce security. - Jiankun Hu; Ziping Xi; Andrew Jennings; H. Y. J. Lee; D. Wahyudi (ICASSP, 2001)

Development of IPDV of a Real Time Micro Flow Along the Network Path of a Differentiated Services Network. - Chandana Watagodakumbura; Andrew Jennings; Nirmala Shenoy (International Conference on Internet Computing, 2003)

A comparative study of mobility prediction in fixed wireless networks and mobile ad hoc networks. - Robin Chellappa Doss; Andrew Jennings; Nirmala Shenoy (ICC, 2003)

Route discovery and reconstruction in mobile ad hoe networks. - Robin Chellappa Doss; Andrew Jennings; Nirmala Shenoy (ICON, 2003)

Effects of traffic aggregation on quality of service parameters. - Chandana Watagodakumbura; Andrew Jennings; Nirmala Shenoy (LANC, 2003)

Mobility Prediction Based Routing for Minimizing Control Overhead in Mobile Ad Hoc Networks. - R. Chellappa Doss; Andrew Jennings; Nirmala Shenoy (International Conference on Wireless Networks, 2004)

Annealing Sensor Networks. - Andrew Jennings; Daud Channa (KES (4), 2005)

Centralised Strategies for Cluster Formation in Sensor Networks. - Malka Halgamuge; Siddeswara Mayura Guru; Andrew Jennings (Classification and Clustering for Knowledge Discovery, 2005)

Energy Efficiency of Intrusion Detection Systems in Wireless Sensor Networks. - Piya Techateerawat; Andrew Jennings (IAT Workshops, 2006)

Prediction based location aided routing for mobile ad hoc networks. - R. Chellappa Doss; Andrew Jennings; Nirmala Shenoy (Int. J. Pervasive Comput. Commun., 2006)

Adaptive Intrusion Detection in Wireless Sensor Networks. - Piya Techateerawat; Andrew Jennings (IPC, 2007)

Robust Routing. - Himanshu Agrawal; Andrew Jennings; Mark A. Gregory; Daud Channa (ACIS-ICIS, 2008)

A coupled reaction-diffusion field model for perception-action cycle with applications to robot navigation. - Eugene Aidman; Vladimir Ivancevic; Andrew Jennings (Int. J. Intell. Def. Support Syst., 2008)

Evaluation of Routing with Robustness to the Variation in Traffic Demand. - Himanshu Agrawal; Andrew Jennings (J. Netw. Syst. Manag., 2011)

Deep Learned Multi-Modal Traffic Agent Predictions for Truck Platooning Cut-Ins. - Samuel Paul Douglass; Scott M. Martin; Andrew Jennings; Howard Chen 004; David M. Bevly (PLANS, 2020)

Unsupervised Region-Based Anomaly Detection In Brain MRI With Adversarial Image Inpainting. - Bao Nguyen; Adam Feldman; Sarath Bethapudi; Andrew Jennings; Chris G. Willcocks (ISBI, 2021)

Cooee: An Artificial Intelligence Chatbot for Complex Energy Environments. - Gihan Gamage; Nishan Mills; Prabod Rathnayaka; Andrew Jennings; Damminda Alahakoon (HSI, 2022)

Comparative Evaluation of Gradient Boosting with Active Thresholding and Model Explainability for Peak Demand Forecasting. - Sachin Kahawala; Dilantha Haputhanthri; Harsha Moraliyage; Shashini Wimalaratne; Damminda Alahakoon; Andrew Jennings (HSI, 2022)

Cloud Edge Architecture Leveraging Artificial Intelligence and Analytics for Microgrid Energy Optimisation and Net Zero Carbon Emissions. - Nishan Mills; Prabod Rathnayaka; Harsha Moraliyage; Daswin De Silva; Andrew Jennings (HSI, 2022)

UNICON: An Open Dataset of Electricity, Gas and Water Consumption in a Large Multi-Campus University Setting. - Harsha Moraliyage; Nishan Mills; Prabod Rathnayake; Daswin De Silva; Andrew Jennings (HSI, 2022)

Specialist vs Generalist: A Transformer Architecture for Global Forecasting Energy Time Series. - Prabod Rathnayaka; Harsha Moraliyage; Nishan Mills; Daswin De Silva; Andrew Jennings (HSI, 2022)

UNISOLAR: An Open Dataset of Photovoltaic Solar Energy Generation in a Large Multi-Campus University Setting. - Shashini Wimalaratne; Dilantha Haputhanthri; Sachin Kahawala; Gihan Gamage; Damminda Alahakoon; Andrew Jennings (HSI, 2022)

A Robust Artificial Intelligence Approach with Explainability for Measurement and Verification of Energy Efficient Infrastructure for Net Zero Carbon Emissions. - Harsha Moraliyage; Sanoshi Dahanayake; Daswin De Silva; Nishan Mills; Prabod Rathnayaka; Su Nguyen; Damminda Alahakoon; Andrew Jennings (Sensors, 2022)

Augmenting Industrial Chatbots in Energy Systems using ChatGPT Generative AI. - Gihan Gamage; Sachin Kahawala; Nishan Mills; Daswin De Silva; Milos Manic; Damminda Alahakoon; Andrew Jennings (ISIE, 2023)

A Cybersecurity Framework for Home Energy Management Systems using Artificial Intelligence. - Lakshitha Gunasekara; Harsha Moraliyage; Daswin De Silva; Nishan Mills; Damminda Alahakoon; Andrew Jennings; Milos Manic (ISIE, 2023)

Automated Machine Learning in Critical Energy Infrastructure for Net Zero Carbon Emissions. - Harsha Moraliyage; Dilantha Haputhanthri; Chamod Samarajeewa; Nishan Mills; Daswin De Silva; Milos Manic; Andrew Jennings (ISIE, 2023)

Multi-Agent RAG Chatbot Architecture for Decision Support in Net-Zero Emission Energy Systems. - Gihan Gamage; Nishan Mills; Daswin De Silva; Milos Manic; Harsha Moraliyage; Andrew Jennings; Damminda Alahakoon (ICIT, 2024)

A cloud-based architecture for explainable Big Data analytics using self-structuring Artificial Intelligence. - Nishan Mills; Zafar Issadeen; Amali Matharaarachchi; Tharindu R. Bandaragoda; Daswin De Silva; Andrew Jennings; Milos Manic (Discov. Artif. Intell., 2024)