https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Open-source, fully-automated hybrid cardiac substructure segmentation: development and optimisation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53327 Wed 28 Feb 2024 16:29:04 AEDT ]]> A deep learning model to generate synthetic CT for prostate MR-only radiotherapy dose planning: a multicenter study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53856 Wed 28 Feb 2024 15:05:06 AEDT ]]> A comparative analysis of active learning for biomedical text mining https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44992 Wed 26 Oct 2022 09:21:31 AEDT ]]> Accelerating Code Search with Deep Hashing and Code Classification https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50483 Wed 26 Jul 2023 18:43:34 AEST ]]> An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50449 Wed 26 Jul 2023 12:53:14 AEST ]]> Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42498 Wed 24 Aug 2022 09:11:16 AEST ]]> COVID-19 Severity based on Deep Convolutional Neural Networks Chest X-Ray Image in Aceh, Indonesia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55199 Wed 24 Apr 2024 13:05:47 AEST ]]> A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50373 Wed 24 Apr 2024 11:12:32 AEST ]]> Automatic radiotherapy delineation quality assurance on prostate MRI with deep learning in a multicentre clinical trial https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43531 Wed 21 Sep 2022 11:32:29 AEST ]]> A Novel Vision Transformer Model for Skin Cancer Classification https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53760 Wed 15 May 2024 16:00:49 AEST ]]> Comparing ellipse detection and deep neural networks for the identification of drinking glasses in images https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43194 Wed 14 Sep 2022 09:12:37 AEST ]]> An innovative big data analytics method for decision makers in the higher education sector to address student attrition https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55645 Wed 12 Jun 2024 13:39:06 AEST ]]> Log Parsing with Prompt-based Few-shot Learning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53685 Wed 10 Jan 2024 10:28:15 AEDT ]]> Automated pneumoconiosis detection on chest X-rays using cascaded learning with real and synthetic radiographs https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46036 Wed 09 Nov 2022 15:51:07 AEDT ]]> Artificial intelligence and deep learning in video games a brief review https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42914 Wed 07 Sep 2022 09:06:40 AEST ]]> Deep learning model for demolition waste prediction in a circular economy https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39084 Wed 07 Feb 2024 16:38:56 AEDT ]]> Detecting semi-transparent drinking glasses and estimating water levels using deep learning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38944 Wed 06 Mar 2024 15:55:06 AEDT ]]> Convolutional neural networks for image segmentation in clinical applications https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38707 Wed 06 Mar 2024 15:35:36 AEDT ]]> Alzheimer’s disease detection using deep learning based on multimodal neuroimaging https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48984 Wed 06 Mar 2024 15:25:27 AEDT ]]> Affective analysis of visual scenes using face pareidolia and scene-context https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38942 Wed 06 Mar 2024 15:24:32 AEDT ]]> Accurate multiple sclerosis detection and prediction using advanced image processing and deep learning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49100 Wed 06 Mar 2024 15:23:57 AEDT ]]> Using deep learning to assess eating behaviours with wrist-worn inertial sensors https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40792 Wed 06 Mar 2024 15:18:41 AEDT ]]> Deep learning for analysis of time-series in smart home environments https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47790 Wed 06 Mar 2024 14:59:08 AEDT ]]> Cost-effective testing of a deep learning model through input reduction https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44006 Wed 05 Oct 2022 14:57:36 AEDT ]]> Distance plus attention for binding affinity prediction https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55538 Wed 05 Jun 2024 09:36:40 AEST ]]> A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38139 Wed 04 Aug 2021 15:42:39 AEST ]]> Using deep learning to detect food intake behavior from video https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38695 Wed 03 Apr 2024 14:23:13 AEDT ]]> Convolutional neural networks for Alzheimer's disease detection on MRI images https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45686 Wed 02 Nov 2022 16:20:05 AEDT ]]> A Comparative Study of Machine Learning and Deep Learning Techniques for Fake News Detection https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50718 Wed 02 Aug 2023 18:30:37 AEST ]]> DeepCornerNet: A Deep Learning Approach for Automated Corner Grading in Trading Cards https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55212 Wed 01 May 2024 10:39:41 AEST ]]> A shallow introduction to deep neural networks https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38365 Tue 31 Aug 2021 12:17:44 AEST ]]> Experience-based cognition for driving behavioral fingerprint extraction https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46714 Tue 29 Nov 2022 11:06:37 AEDT ]]> On Fusing Artificial and Convolutional Neural Network Features for Automatic Bug Assignments https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54529 Tue 27 Feb 2024 19:44:40 AEDT ]]> Machine learning and deep learning for safety applications: Investigating the intellectual structure and the temporal evolution https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54432 Tue 27 Feb 2024 14:05:24 AEDT ]]> Joint User and Data Detection in Grant-Free NOMA With Attention-Based BiLSTM Network https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54425 Tue 27 Feb 2024 13:58:20 AEDT ]]> Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51987 Globally, coal remains one of the natural resources that provide power to the world. Thousands of people are involved in coal collection, processing, and transportation. Particulate coal dust is produced during these processes, which can crush the lung structure of workers and cause pneumoconiosis. There is no automated system for detecting and monitoring diseases in coal miners, except for specialist radiologists. This paper proposes ensemble learning techniques for detecting pneumoconiosis disease in chest X-ray radiographs (CXRs) using multiple deep learning models. Three ensemble learning techniques (simple averaging, multi-weighted averaging, and majority voting (MVOT)) were proposed to investigate performances using randomised cross-folds and leave-one-out cross-validations datasets. Five statistical measurements were used to compare the outcomes of the three investigations on the proposed integrated approach with state-of-the-art approaches from the literature for the same dataset. In the second investigation, the statistical combination was marginally enhanced in the ensemble of multi-weighted averaging on a robust model, CheXNet. However, in the third investigation, the same model elevated accuracies from 87.80 to 90.2%. The investigated results helped us identify a robust deep learning model and ensemble framework that outperformed others, achieving an accuracy of 91.50% in the automated detection of pneumoconiosis.]]> Tue 26 Sep 2023 10:47:09 AEST ]]> A Stacked Meta-Ensemble for Protein Inter-Residue Distance Prediction https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50432 Tue 25 Jul 2023 19:01:32 AEST ]]> A Novel Deep Learning-Based Approach for Malware Detection https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50418 Tue 25 Jul 2023 18:05:29 AEST ]]> A Multi-type Classifier Ensemble for Detecting Fake Reviews Through Textual-based Feature Extraction https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50412 Tue 25 Jul 2023 17:37:06 AEST ]]> A high-performance method of deep learning for prostate MR-only radiotherapy planning using an optimized Pix2Pix architecture https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53153 Tue 21 Nov 2023 11:09:54 AEDT ]]> Synthetic Data Generation and Deep Learning for the Topological Analysis of 3D Data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:55364 Tue 21 May 2024 09:37:32 AEST ]]> Deep Learning for Discrimination Between Fungal Keratitis and Bacterial Keratitis: DeepKeratitis https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48556 Tue 21 Mar 2023 15:44:56 AEDT ]]> Stereo Visual Mesh for Generating Sparse Semantic Maps at High Frame Rates https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54217 Tue 13 Feb 2024 12:01:29 AEDT ]]> An Artificial Intelligence Computer-vision Algorithm to Triage Otoscopic Images From Australian Aboriginal and Torres Strait Islander Children https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46998 Tue 13 Dec 2022 10:38:29 AEDT ]]> Clinical target volume delineation quality assurance for MRI-guided prostate radiotherapy using deep learning with uncertainty estimation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51626 Tue 12 Sep 2023 15:40:55 AEST ]]> Out of the shadows: automatic fish detection from acoustic cameras https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53634 Tue 12 Dec 2023 15:47:17 AEDT ]]> Artificial intelligence for template-free protein structure prediction: a comprehensive review https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53625 Tue 12 Dec 2023 15:26:22 AEDT ]]> Trends and directions of financial technology (Fintech) in society and environment: A bibliometric study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44298 Tue 11 Oct 2022 16:05:37 AEDT ]]> Estimating GPU memory consumption of deep learning models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44305 Tue 11 Oct 2022 15:58:58 AEDT ]]> Application of Deep Learning in Automated Meal Recognition https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42859 Tue 06 Sep 2022 08:35:22 AEST ]]> Automatic detection of amyloid beta plaques in somatosensory cortex of an Alzheimer's disease mouse using deep learning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45547 Aβ ) plaques in the cerebral cortex in models of Alzheimer’s Disease (AD) is of critical importance for research into therapeutics. Here we propose an innovative framework which automatically measures Aβ plaques in the cortex of a rodent model, based on anatomical segmentation using a deep learning approach. The framework has three phases: data acquisition to enhance image quality using preprocessing techniques and image normalization with a novel plaque removal algorithm, then an anatomical segmentation phase using the trained model, and finally an analysis phase to quantitate Aβ plaques. Supervised training with 946 sets of mouse brain section annotations exhibiting Aβ protein-labeled plaques ( Aβ plaques) were trained with deep neural networks (DNNs). Five DNN architectures: FCN32, FCN16, FCN8, SegNet, and U-Net, were tested. Of these, U-Net was selected as it showed the most reliable segmentation performance. The framework demonstrated an accuracy of 83.98% and 91.21% of the Dice coefficient score for atlas segmentation with the test dataset. The proposed framework automatically segmented the somatosensory cortex and calculated the intensity and extent of Aβ plaques. This study contributes to image analysis in the field of neuroscience, allowing region-specific quantitation of image features using a deep learning approach.]]> Tue 01 Nov 2022 10:42:08 AEDT ]]> Deep learning for human affect recognition: Insights and new developments https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50042 Thu 29 Jun 2023 14:39:12 AEST ]]> Slope stability prediction based on a long short-term memory neural network: comparisons with convolutional neural networks, support vector machines and random forest models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52751 Thu 26 Oct 2023 09:17:48 AEDT ]]> CAN3D: Fast 3D medical image segmentation via compact context aggregation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49655 Thu 25 May 2023 15:26:39 AEST ]]> An accurate black lung detection using transfer learning based on deep neural networks https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39886 Thu 21 Jul 2022 09:48:19 AEST ]]> Continuous incident triage for large-scale online service systems https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43375 Thu 15 Sep 2022 15:53:31 AEST ]]> A Comprehensive Review of Deep Learning Approaches for Animal Detection on Video Data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54287 Thu 15 Feb 2024 14:45:20 AEDT ]]> Systematic review of natural language processing for recurrent cancer detection from electronic medical records https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54276 Thu 15 Feb 2024 14:38:33 AEDT ]]> A survey on machine learning techniques for cyber security in the last decade https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44446 Thu 13 Oct 2022 12:39:37 AEDT ]]> Learning deep representations for video-based intake gesture detection https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38698 Thu 13 Jan 2022 14:48:32 AEDT ]]> CASA-Crowd: a Context-Aware Scale Aggregation CNN-based crowd counting technique https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37076 Thu 13 Aug 2020 16:10:44 AEST ]]> Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48861 Thu 13 Apr 2023 09:52:51 AEST ]]> DreamLoc: A Deep Relevance Matching-Based Framework for bug Localization https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46831 Thu 01 Dec 2022 11:52:25 AEDT ]]> Single-Stage Intake Gesture Detection Using CTC Loss and Extended Prefix Beam Search https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45778 Sat 05 Nov 2022 12:35:18 AEDT ]]> Multi-S3P: Protein Secondary Structure Prediction with Specialized Multi-Network and Self-Attention-based Deep Learning Model https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50780 Sat 05 Aug 2023 10:54:53 AEST ]]> The neural knowledge DNA based smart internet of things https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44165 Mon 29 Jan 2024 17:48:22 AEDT ]]> LogGD: Detecting Anomalies from System Logs with Graph Neural Networks https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53951 Mon 22 Jan 2024 16:56:19 AEDT ]]> Resource-Guided Configuration Space Reduction for Deep Learning Models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39297 Mon 20 Nov 2023 15:59:35 AEDT ]]> Estimating Betti numbers using deep learning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37898 Mon 20 Nov 2023 15:54:52 AEDT ]]> Learning to handle exceptions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40785 Mon 18 Jul 2022 16:07:14 AEST ]]> Landslide susceptibility prediction modeling based on remote sensing and a novel deep learning algorithm of a cascade-parallel recurrent neural network https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40729 Mon 18 Jul 2022 11:48:15 AEST ]]> UniParser: A Unified Log Parser for Heterogeneous Log Data https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46971 Mon 12 Dec 2022 16:19:24 AEDT ]]> NaturalCC: An Open-Source Toolkit for Code Intelligence https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47377 Mon 11 Sep 2023 09:30:20 AEST ]]> Evolutionary Hyperparameter Optimisation for Sentence Classification https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40403 Mon 11 Jul 2022 13:55:35 AEST ]]> Does Context Matter? Effective Deep Learning Approaches to Curb Fake News Dissemination on Social Media https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52354 Mon 09 Oct 2023 15:04:38 AEDT ]]> Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52316 Mon 09 Oct 2023 10:25:31 AEDT ]]> Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52320 Mon 09 Oct 2023 10:24:36 AEDT ]]> Objective quantification of nerves in immunohistochemistry specimens of thyroid cancer utilising deep learning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48215 Mon 08 May 2023 14:47:19 AEST ]]> Detecting Object and Direction for Polar Electronic Components via Deep Learning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47902 Mon 06 Feb 2023 14:21:03 AEDT ]]> Effectiveness of data augmentation to predict students at risk using deep learning algorithms https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54112 Mon 05 Feb 2024 09:56:11 AEDT ]]> Use of Deep Learning Approach on UAV imagery to Detect Mistletoe Infestation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41234 Fri 29 Jul 2022 14:23:25 AEST ]]> Embedding API dependency graph for neural code generation https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46537 Fri 25 Nov 2022 10:44:28 AEDT ]]> Death Comes But Why: An Interpretable Illness Severity Predictions in ICU https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51961 Fri 22 Sep 2023 17:11:22 AEST ]]> Development and external validation of automated ICD-10 coding from discharge summaries using deep learning approaches https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51955 Fri 22 Sep 2023 17:07:15 AEST ]]> Degradation of cephalexin toxicity in non-clinical environment using zinc oxide nanoparticles synthesized in Momordica charantia extract; Numerical prediction models and deep learning classification https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51953 90%). These findings reflected the role of deep learning analysis in understanding the behavior of CFX for the degradation process.]]> Fri 22 Sep 2023 17:03:57 AEST ]]> Light-weight recurrent deep learning algorithm for non-intrusive load monitoring https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39844 Fri 22 Jul 2022 13:17:11 AEST ]]> Joint Optimization of Topology and Hyperparameters of Hybrid DNNs for Sentence Classification https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52671 Fri 20 Oct 2023 09:24:32 AEDT ]]> You see what I want you to see: poisoning vulnerabilities in neural code search https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53669 Fri 15 Dec 2023 11:13:13 AEDT ]]> Cross-Domain Deep Code Search with Meta Learning https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47315 Fri 13 Jan 2023 11:00:07 AEDT ]]> Log-based Anomaly Detection with Deep Learning: How Far Are We? https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47313 Fri 13 Jan 2023 10:59:58 AEDT ]]> REFTY: Refinement Types for Valid Deep Learning Models https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47314 Fri 13 Jan 2023 10:59:53 AEDT ]]> On the Evaluation of Neural Code Summarization https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47307 Fri 13 Jan 2023 10:59:48 AEDT ]]> What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47308 Fri 13 Jan 2023 10:59:31 AEDT ]]> Cross-Language Binary-Source Code Matching with Intermediate Representations https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47289 Fri 13 Jan 2023 10:31:42 AEDT ]]> Smart Approach for Glioma Segmentation in Magnetic Resonance Imaging using Modified Convolutional Network Architecture (U-NET) https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49347 Fri 12 May 2023 11:11:13 AEST ]]> Performance comparison of deep learning models for black lung detection on chest X-ray radiographs https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46099 Fri 11 Nov 2022 11:27:58 AEDT ]]> Automatic classification of distal radius fracture using a two-stage ensemble deep learning framework https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51530 Fri 08 Sep 2023 12:10:04 AEST ]]> Deep learning to detect Alzheimer's disease from neuroimaging: a systematic literature review https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39085 Fri 06 May 2022 15:49:33 AEST ]]> Deep learning for intake gesture detection from wrist-worn inertial sensors: the effects of data preprocessing, sensor modalities, and sensor positions https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39083 1=.778 ). As for data preprocessing, results show that applying a consecutive combination of mirroring, removing gravity effect, and standardization was beneficial for model performance, while smoothing had adverse effects. We further investigate the effectiveness of using different combinations of sensor modalities (i.e., accelerometer and/or gyroscope) and sensor positions (i.e., dominant intake hand and/or non-dominant intake hand).]]> Fri 06 May 2022 15:21:38 AEST ]]> Log-based Anomaly Detection Without Log Parsing https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49093 Fri 05 May 2023 08:44:14 AEST ]]>