Blar i Department of Information and Communication Technology på forfatter "Goodwin, Morten"
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A hierarchical learning scheme for solving the Stochastic Point Location problem
Yazidi, Anis; Granmo, Ole-Christoffer; Oommen, B. John; Goodwin, Morten (Lecture Notes in Computer Science;7345, Chapter; Peer reviewed, 2012)This paper deals with the Stochastic-Point Location (SPL) problem. It presents a solution which is novel in both philosophy and strategy to all the reported related learning algorithms. The SPL problem concerns the task ... -
A pattern recognition approach for peak prediction of electrical consumption
Goodwin, Morten; Yazidi, Anis (Journal article; Peer reviewed, 2016) -
A spatio-temporal probabilistic model of hazard and crowd dynamics in disasters for evacuation planning
Granmo, Ole-Christoffer; Radianti, Jaziar; Goodwin, Morten; Dugdale, Julie; Sarshar, Parvaneh; Glimsdal, Sondre; Gonzalez, Jose J. (Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)Managing the uncertainties that arise in disasters – such as ship fire – can be extremely challenging. Previous work has typically focused either on modeling crowd behavior or hazard dynamics, targeting fully known ... -
Adaptive sparse representation of continuous input for tsetlin machines based on stochastic searching on the line
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Ant colony optimisation for planning safe escape routes
Goodwin, Morten; Granmo, Ole-Christoffer; Radianti, Jaziar; Sarshar, Parvaneh; Glimsdal, Sondre (Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)An emergency requiring evacuation is a chaotic event filled with uncertainties both for the people affected and rescuers. The evacuees are often left to themselves for navigation to the escape area. The chaotic situation ... -
Ant colony optimisation-based classification using two-dimensional polygons
Goodwin, Morten; Yazidi, Anis (Peer reviewed; Journal article, 2016) -
Augmented Random Search with Artificial Neural Networks for energy cost optimization with battery control
Opalic, Sven Myrdahl; Goodwin, Morten; Lei, Jiao; Nielsen, Henrik Kofoed; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2022)Intermittent renewable energy production and dynamic load must be balanced through appropriate control of integrated energy storage to account for the temporal discrepancy among power supply and demand. Intelligent control ... -
Balanced difficulty task finder: an adaptive recommendation method for learning tasks based on the concept of state of flow
Yazidi, Anis; Abolpour Mofrad, Asieh; Goodwin, Morten; Hammer, Hugo Lewi; Arntzen, Erik (Peer reviewed; Journal article, 2020) -
Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation
Olsvik, Erlend; Trinh, Christian M. D.; Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (Journal article; Peer reviewed, 2019) -
Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis
Abouzeid, Ahmed Abdulrahem Othman; Granmo, Ole-Christoffer; Webersik, Christian; Goodwin, Morten (Chapter; Peer reviewed, 2019) -
Combating class imbalances in image classification - a deep neural network-based method for skin disease classification
Aamodt, Eivind (Master thesis, 2022)Skin cancer is the most common type of cancer globally, and the current estimates say that as many as one in five Americans will develop one form of skin cancer in their lifetime. While there are many types of skin cancer, ... -
Deep Q-Learning With Q-Matrix Transfer Learning for Novel Fire Evacuation Environment
Sharma, Jivitesh; Andersen, Per-Arne; Granmo, Ole-Christoffer; Goodwin, Morten (Journal article; Peer reviewed, 2020) -
Deep Reinforcement Learning using Capsules in Advanced Game Environments
Andersen, Per-Arne; Goodwin, Morten; Granmo, Ole-Christoffer (Master thesis, 2018)Reinforcement Learning (RL) is a research area that has blossomed tremendously in recent years and has shown remarkable potential for artificial intelligence based opponents in computer games. This success is primarily due ... -
DET: Data Enhancement Technique for Aerial Images
Jacobsen, Jørgen Åsbu; Jyhne, Sander (Master thesis, 2022)Deep learning and computer vision are two thriving research areas within machine learning. In recent years, as the available computing power has grown, it has led to the possibility of combining the approaches, achieving ... -
Development of a Simulator for Prototyping Reinforcement Learning based Autonomous Cars
Holen, Martin; Knausgård, Kristian Muri; Goodwin, Morten (Peer reviewed; Journal article, 2022)Autonomous driving is a research field that has received attention in recent years, with increasing applications of reinforcement learning (RL) algorithms. It is impractical to train an autonomous vehicle thoroughly in the ... -
Digitalization of the power business: How to make this work?
Svendsen, Arne Brufladt; Tollefsen, Trond; Gjengedal, Terje; Goodwin, Morten; Antonsen, Stian (Chapter; Peer reviewed, 2018)As a result of the digitalization of the power business in Norway and Europa, a lot of new possibilities and challenges arise. In 2014 an expert committee one outlined a proposal for the future grid company structure in ... -
Distributed Learning Automata-based S-learning scheme for classification
Goodwin, Morten; Yazidi, Anis; Jonassen, Tore Møller (Peer reviewed; Journal article, 2019) -
Distributed learning automata-based scheme for classification using novel pursuit scheme
Goodwin, Morten; Yazidi, Anis (Journal article; Peer reviewed, 2020) -
Environment Sound Classification using Multiple Feature Channels and Attention based Deep Convolutional Neural Network
Sharma, Jivitesh; Granmo, Ole-Christoffer; Goodwin, Morten (Peer reviewed; Journal article, 2020)In this paper, we propose a model for the Environment Sound Classification Task (ESC) that consists of multiple feature channels given as input to a Deep Convolutional Neural Network (CNN) with Attention mechanism. The ... -
Escape planning in realistic fire scenarios with Ant Colony Optimisation
Goodwin, Morten; Granmo, Ole-Christoffer; Radianti, Jaziar (Journal article; Peer reviewed, 2014)An emergency requiring evacuation is a chaotic event, filled with uncertainties both for the people affected and rescuers. The evacuees are often left to themselves for navigation to the escape area. The chaotic situation ...