https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 A Proposed Framework for Early Prediction of Schistosomiasis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50466 Wed 29 May 2024 15:19:39 AEST ]]> A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45299 Wed 26 Oct 2022 18:58:15 AEDT ]]> Performance comparison and current challenges of using machine learning techniques in cybersecurity https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:45272 Wed 26 Oct 2022 16:56:06 AEDT ]]> A comparative analysis of active learning for biomedical text mining https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44992 Wed 26 Oct 2022 09:21:31 AEDT ]]> A review of content-based and context-based recommendation systems https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44993 Wed 26 Oct 2022 09:21:27 AEDT ]]> An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50449 Wed 26 Jul 2023 12:53:14 AEST ]]> A Machine Learning Approach for Identification of Malignant Mesothelioma Etiological Factors in an Imbalanced Dataset https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49626 Wed 24 May 2023 13:25:52 AEST ]]> A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50373 Wed 24 Apr 2024 11:12:32 AEST ]]> Corporate Bankruptcy Prediction: An Approach Towards Better Corporate World https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49911 Wed 14 Jun 2023 16:06:00 AEST ]]> A model to enhance governance issues through opinion extraction https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44097 Wed 13 Mar 2024 19:12:00 AEDT ]]> A novel approach to data extraction on hyperlinked webpages https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42928 Wed 07 Sep 2022 14:06:35 AEST ]]> What is core and what future holds for blockchain technologies and cryptocurrencies: A bibliometric analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43674 Wed 07 Feb 2024 17:05:06 AEDT ]]> A novel method for performance measurement of public educational institutions using machine learning models https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:39585 Wed 07 Feb 2024 15:03:57 AEDT ]]> A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50386 Wed 01 May 2024 15:54:10 AEST ]]> Deep Ensemble Learning for the Automatic Detection of Pneumoconiosis in Coal Worker’s Chest X-ray Radiography https://nova.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 Novel Method for Improving the Robustness of Deep Learning-Based Malware Detectors Against Adversarial Attacks https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50420 Tue 25 Jul 2023 18:12:17 AEST ]]> A Novel Deep Learning-Based Approach for Malware Detection https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50418 Tue 25 Jul 2023 18:05:29 AEST ]]> Writing instructions at a university and identity issues: a systemic functional linguistics perspective https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:42430 Tue 23 Aug 2022 09:51:22 AEST ]]> A novel framework for prognostic factors identification of malignant mesothelioma through association rule mining https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46300 500 IU/L, C-reactive protein >10/μL, pleural albumin<3/μL, the presence of asbestos exposure and pleural effusion. In nearly all the experiments, the binary features were among the leading top five features in the list. The diagnosis of MM can be accessible through prognostic factors. Our proposed framework will help to diagnose the patients without expensive tests and painful procedures. The proposed framework may assist doctors, patients, medical practitioners, and other healthcare professionals for early diagnosis and better treatment of malignant mesothelioma through significant prognostic factors.]]> Tue 15 Nov 2022 10:10:30 AEDT ]]> Risk factors identification of malignant mesothelioma: a data mining based approach https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48655 Tue 14 Nov 2023 14:43:11 AEDT ]]> Trends and directions of financial technology (Fintech) in society and environment: A bibliometric study https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44298 Tue 11 Oct 2022 16:05:37 AEDT ]]> Domain specific lexicon generation through sentiment analysis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36992 Thu 30 Jul 2020 13:04:50 AEST ]]> A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38055 Thu 29 Jul 2021 11:01:58 AEST ]]> A bibliometric analysis of Corona pandemic in social sciences: a review of influential aspects and conceptual structure https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:37578 Thu 28 Oct 2021 12:36:27 AEDT ]]> A review of time-series anomaly detection techniques: a step to future perspectives https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:46384 Thu 17 Nov 2022 14:11:40 AEDT ]]> A Comprehensive Review of Deep Learning Approaches for Animal Detection on Video Data https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:54287 Thu 15 Feb 2024 14:45:20 AEDT ]]> A survey on machine learning techniques for cyber security in the last decade https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:44446 Thu 13 Oct 2022 12:39:37 AEDT ]]> A review on security challenges in internet of things (IoT) https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40095 Mon 29 Jan 2024 18:41:37 AEDT ]]> A Machine Learning-Based Model for Stability Prediction of Decentralized Power Grid Linked with Renewable Energy Resources https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:49301 Mon 29 Jan 2024 18:22:50 AEDT ]]> V2X-based mobile Localization in 3D wireless sensor network https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43661 Mon 29 Jan 2024 17:49:19 AEDT ]]> ConvADD: Exploring a Novel CNN Architecture for Alzheimer’s Disease Detection https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55405 Mon 27 May 2024 12:04:01 AEST ]]> A Fuzzy Inference-Based Decision Support System for Disease Diagnosis https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50390 Mon 24 Jul 2023 14:40:16 AEST ]]> Cyber Threat Detection Using Machine Learning Techniques: A Performance Evaluation Perspective https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:41159 Mon 20 Nov 2023 15:51:42 AEDT ]]> A comparative performance analysis of data resampling methods on imbalance medical data https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:48480 Mon 20 Mar 2023 09:25:44 AEDT ]]> Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:51796 Mon 18 Sep 2023 15:25:23 AEST ]]> Deep Transfer Learning Approaches in Performance Analysis of Brain Tumor Classification Using MRI Images https://nova.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://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52320 Mon 09 Oct 2023 10:24:36 AEDT ]]> Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:55259 Mon 06 May 2024 12:35:54 AEST ]]> An analysis of Blessed Friday sale at a retail store using classification models https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40229 Mon 01 Aug 2022 10:13:45 AEST ]]> An investigation of credit card default prediction in the imbalanced datasets https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:38537 Fri 29 Oct 2021 12:07:53 AEDT ]]> MAC protocols 802.11: a comparative study of throughput analysis and improved LEACH https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40056 Fri 22 Jul 2022 13:27:19 AEST ]]>