Showing 1 - 20 results of 65 for search '(( python programs implementation ) OR ( detection test implementation ))*', query time: 0.10s Refine Results
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    Implementing CYP2C19 Pharmacogenetic Testing for Personalized Antiplatelet Therapy: Findings From the QPGx-CARES Initiative by Rania Abdel-latif (18295396)

    Published 2025
    “…The study the potential impact and feasibility of implementing pharmacogenetics (PGx) testing to guide antiplatelet therapy and develop strategies for its clinical integration to improve patient management. …”
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    Evaluation of Molecularly Imprinted Polymers for Point-of-Care Testing for Cardiovascular Disease by Brian Regan (18418860)

    Published 2019
    “…This review aims to assess the applicability of this technology for the point-of-care testing (POCT) of cardiovascular disease-related biomarkers. …”
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    Environmentally-friendly replacement for mercurous nitrate test of copper alloys by Wazne, Mahmoud

    Published 2017
    “…The test has been used for many years as an accelerated, lot acceptance test to detect tensile residual stresses that, when combined with a corrosive media, can cause stress corrosion cracking during long-term storage. …”
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    Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

    Published 2022
    “…Comprehensive performance analysis of the proposed anomaly detection schemes is presented in the paper, and the newly proposed schemes are found better than the state-of-the-art methods when tested on several benchmark datasets.…”
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    IoT empowered smart cybersecurity framework for intrusion detection in internet of drones by Syeda Nazia Ashraf (17541222)

    Published 2023
    “…The proposed system effectively detects cyber-attacks in drone networks by leveraging deep learning and machine learning techniques. …”
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    Adaptive Secure Pipeline for Attacks Detection in Networks with set of Distribution Hosts by ALSHAMSI, SUROUR

    Published 2022
    “…In addition, it implies carrying out the training and testing process in each phase. Since the best model is obtained from training, each time it is performed for a given phase, the model is adjusted to detect new attacks. …”
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    Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning by ALFALASI, FARIS Jr

    Published 2023
    “…Due to the difficulty of manually detecting and categorizing vast volumes of electronic text data, conventional methods for recognizing and combating cyberbullying have not proven successful. …”
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    Novel metal–organic framework biosensing platform for detection of COVID-19 RNA by Elgazar, Aya

    Published 2024
    “…Metal organic frameworks (MOFs) are currently being implemented in biosensors for rapid and accurate detection of viruses thanks to their exceptional properties. …”
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    Automatic detection of ictal activity in EEG using synchronization and chaos-based attributes by Asma Mahgoub (17787764)

    Published 2023
    “…A support vector machine was trained and tested on 10 patients from a scalp EEG dataset and was able to detect the considered seizures with a sensitivity of 100% and a false positives rate of 0.5 per hour. …”
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    Intelligent, Automated, Rapid, and Safe Landmine, Improvised Explosive Device and Unexploded Ordnance Detection Using Maggy by Kaya Kuru (22282282)

    Published 2024
    “…The outcomes, obtained in the open-air minefields and the benchmark assessments, verify the viability of the technologies, methods, and approaches integrated into Maggy for the efficient and economical detection of legacy landmines and IDE/UXO. This research provides the related research community with fundamental design and implementation parameters (e.g. flight speed, flight altitude) in building and using magnetometer-integrated Unmanned Aerial Systems (UAS). …”
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    Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques by Umesh Kumar Lilhore (17727684)

    Published 2022
    “…This research work analyses cervical cancer and various risk factors to help detect cervical cancer. The proposed model Boruta with SVM and various popular ML models are implemented using Python and various performance measuring parameters, i.e., accuracy, precision, F 1 – Score , and recall. …”
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    A novel virtual patient approach for cross-patient multimodal fusion in enhanced breast cancer detection by Younes Akbari (16303286)

    Published 2025
    “…<p>Multimodal medical imaging combining conventional imaging modalities such as mammography, ultrasound, and histopathology has shown significant promise for improving breast cancer detection accuracy. However, clinical implementation faces substantial challenges due to incomplete patient-matched multimodal datasets and resource constraints. …”
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    Estimating the reliability of the inspection system employed for detecting defects in rail track using ultrasonic guided waves by Khalil, Abdelgalil

    Published 2022
    “…This work focuses on the implementation of a data-based method to determine the inspection system reliability in terms of detecting different types of damages in rail track specimens using ultrasonic guided Rayleigh waves and a probability of detection (POD) technique. …”
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