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101
Detection of central serous retinopathy using deep learning through retinal images
Published 2023“…The eye is divided into different layers and front/back areas; however, the most important part is the retina, responsible for capturing light and generating electrical impulses for further processing in the brain. Several manual and automated methods have been proposed to detect retinal diseases, though these techniques are time-consuming, inefficient, and unpleasant for patients. …”
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Deep and transfer learning for building occupancy detection: A review and comparative analysis
Published 2022“…The article’s primary emphasis is on reviewing deep learning (DL), and transfer learning (TL) approaches for occupancy detection. This work investigates occupancy detection methods to develop an efficient system for processing sensor data while providing accurate occupancy information. …”
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104
Dynamic model scaling based on segmented tumor size for breast cancer detection
Published 2025“…<p>The accuracy of breast cancer detection in histopathology images presents a critical challenge and remains a central focus in advancements in computational pathology. …”
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105
TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection
Published 2020“…<p>Machine learning techniques are becoming mainstream in intrusion detection systems as they allow real-time response and have the ability to learn and adapt. …”
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106
A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education
Published 2022“…Several studies have been conducted on emotional intelligence, and only a few have been adopted in education. Detecting student emotions can significantly increase productivity and improve the education process. …”
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107
Using machine learning algorithm for detection of cyber-attacks in cyber physical systems
Published 2022“…We have suggested the SFL-HMM together with HMS-ACO process as a method used for detection of the cyber attacks. …”
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108
Pharmacy Students’ Clinical Reasoning and Decision-Making to Detect and Resolve Medication Errors
Published 2025“…</p><h3>Results</h3><p dir="ltr">A total of 25 interviews were conducted and 8 themes were identified as follows: (1) Gaining Initial Patient Impression, (2) Assessing Patient Data, (3) Difficulty Recalling Therapeutic Knowledge, (4) Interpreting Patient Data, (5) Synthesizing Facts and Inferences for a Definitive Diagnosis of Errors, (6) Describing Desired Outcomes, (7) Optimizing Decision-Making, and (8) Process and Recommendations. </p><h3>Conclusion</h3><p dir="ltr">Qatar University student pharmacists used various strategies to detect and resolve medication errors. …”
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109
A machine learning approach on chest X-rays for pediatric pneumonia detection
Published 2023“…Thus, there is a significant need for automating the detection process to minimize the potential human error. …”
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110
Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection
Published 2011“…It would also cover the current methodologies and technologies used to prevent and detect financial crime and suspicious financial activities. …”
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111
Detecting attacks in a cluster based QOS-OLSR protocol. (c2014)
Published 2014Get full text
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112
A Machine Learning Approach on Chest X-Rays for Pediatric Pneumonia Detection
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113
Detection of Double and Triple Compression in Videos for Digital Forensics Using Machine Learning
Published 2020Get full text
doctoralThesis -
114
Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization
Published 2024“…Accurate diagnosis, appropriate care, and prompt response can prevent amputations and fatalities through early and reliable DFU detection from image analysis. We propose a comprehensive deep learning-based system for detecting DFUs from patients’ feet images by reliably localizing ulcer points. …”
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A Magnetite Composite of Molecularly Imprinted Polymer and Reduced Graphene Oxide for Sensitive and Selective Electrochemical Detection of Catechol in Water and Milk Samples: An Ar...
Published 2023“…Hence, the present paper doesn’t present the first use of MIP technology for CC identification but, it presents a new extraction process. The MIP/rGO@Fe<sub>3</sub>O<sub>4</sub>/GCE was characterized by voltammetry techniques and exhibited a wide linear range from1 50 <i>μ</i>M of CC while the detection limits were estimated to be around 4.18 nM CC and limit of quantification in the range of 12.69 nM CC. …”
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A Novel Versatile Framework for Enabling Early Detection of Evolving Network-based Cyberattacks
Published 2025“…However, these solutions either require complex preprocessing to extract network flow statistics or depend on hand-crafted features from domain expertise, thus adding computational overhead that limits the ability for early attack detection. To address these limitations, this thesis proposes a novel framework called FPAC (Flexible Parser Anonymizer Converter) which is designed to enable early detection of different types of attacks by processing only the first few packets of network flows. …”
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118
Skin Detection using a Markov Random Field and a New Color Space
Published 2006“…In this paper, human skin detection is performed using a new color space coordinate and a Markov random field based approach. …”
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1D convolutional neural networks and applications: A survey
Published 2021“…To address this issue, 1D CNNs have recently been proposed and immediately achieved the state-of-the-art performance levels in several applications such as personalized biomedical data classification and early diagnosis, structural health monitoring, anomaly detection and identification in power electronics and electrical motor fault detection. …”
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