Search Results - progressive evaluation method algorithm*
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Reverse Engineering for Measuring Skin Ulcer Size with 3D Scanning
Published 2014“…In clinical and research application, the assessment of skin ulcer size has become essentially importance to monitor and evaluate the progress of healing of the wound. Therefore, quantitative measurement, like volume, surface area and depth of a skin ulcer is to be measure to for accessing the progress and effectiveness of healing. …”
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Final Year Project -
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Multisensor Data Fusion Algorithm for Contactless 3D Position Measurement for Post-Stroke Hand Rehabilitation
Published 2018“…This research attempted to investigate the enabler technology for contactless quantitative measurement system for monitoring the progress in such hand therapy. Evaluation of potential commercial-grade stereo-vision systems have been performed and fingertip detection algorithms have been proposed and evaluated. …”
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Monograph -
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Evaluation of the accuracy of soft computing learning algorithms in performance prediction of tidal turbine
Published 2021“…Marine renewable energy has made significant progress in the last few decades. Even after making substantial progress, the cost of electricity produced by tidal turbines is high. …”
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A study on the VLSI partitions: the implementation of Fiduccia-Mattheyses algorithm / Burhanuddin Omar
Published 1997“…The program is being develop using this algorithm. The evaluation and comparison also been carried out between this method and Kernighan-Lin method.…”
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Thesis -
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A Hybrid Model of Contrast Enhancement with Particle Swarm Optimization for Diabetic Retinopathy (S/O 14404)
Published 2023“…The proposed method undergo qualitative and quantitative evaluation. …”
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Monograph -
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Evaluation of data mining classification and clustering techniques for diabetes / Tuba Pala and Ali Yilmaz Camurcu
Published 2014“…Multilayer Perceptron algorithm has been the best algorithm with the highest success percentage in both of the programs; Decision Trees has been the algorithm which has the lowest success percentage again in both of the programs. …”
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Automatic spinal deformity detection based on neural network
Published 2003“…According to the progress of the deformity of a spine, asymmetry becomes larger. …”
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Book Section -
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Multi-label incremental kernel extreme earning machine for food recognition / Chen Sai
Published 2022“…If food samples and food categories continuous increase, these methods may need to train again from the beginning. …”
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Thesis -
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Email spam classification based on deep learning methods: A review
Published 2025“…The evolution of spam filtering has progressed considerably, transitioning from basic rule-based filters to more sophisticated machine learning algorithms. …”
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Interpolation and Extrapolation Techniques Based Neural Network in Estimating the Missing Ionospheric TEC Data
Published 2024Proceedings Paper -
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Retinal image blood vessel extraction and quantification with Euclidean distance transform approach
Published 2020“…The significantly high accuracy in this newly developed vessel diameter quantification algorithm indicates excellent potential for further development, evaluation, validation, and integration into ophthalmic diagnostic instruments.…”
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A clustering-based method for outlier detection under concept drift
Published 2024“…The algorithm achieves notable results, with a detection rate of 99.12% on UNSWNB-15 and a 7.9% false positive rate on NSL-KDD, marking significant progress. …”
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Evaluation of cloud 3D printing services oriented toward the product life cycle based on a triangular fuzzy number complementary judgment matrix
Published 2024“…Within this contextual framework, we have crafted a sophisticated credit evaluation algorithm and model tailored explicitly for cloud 3D printing service providers. …”
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State-of-the-art ensemble learning and unsupervised learning in fatigue crack recognition of glass fiber reinforced polyester composite (GFRP) using acoustic emission
Published 2023“…Acoustic emission (AE) is a passive structural health monitoring (SHM) technique that provides real-time damage detection based on stress waves generated by cracks in the structure. This study evaluates the damage progression on glass fiber reinforced polyester composite specimens using different approaches of machine learning. …”
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Microalgae biomass and biomolecule quantification: Optical techniques, challenges and prospects
Published 2025“…Some of the common methods used to monitor the biomass and biomolecules in the microalgae culture include manual cell counting, spectroscopy measurements, and colorimetric methods. …”
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3D documenatation of the petalaindera: Digital heritage preservation methods using 3D laser scanner and photogrammetry
Published 2018“…There is very little progress towards exploring new methods or advanced technologies to convert 3D cultural assets into 3D visual representation and visualization models that are easily accessible for information sharing. …”
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Proceeding Paper
