Search Results - (( surface validation study algorithm ) OR ( java implication based algorithm ))
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Feature identification in a real surface metrology analysis by means of Double Iteration Sobel (DIS) / Ainaa Farhanah Mohd Razali
Published 2022“…Besides, from the results of validation of the system algorithm, it is proven that the DIS system algorithm is also suitable to be used on the measured areal surface topography of bumps features to segment and isolate the synthesized edges from its surrounding. …”
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Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
Published 2006“…The proposed algorithms were used to generate PM10 and AOT maps for the study areas. …”
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Impact of evolutionary algorithm on optimization of nonconventional machining process parameters
Published 2025“…The results of the three algorithms were validated through a benchmark study employing the Genetic Algorithm. …”
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Optimisation of surface roughness when CNC Turning of Al-6061: Application of Taguchi Design of experiments and genetic algorithm / Boppana V. Chowdary...[et al.]
Published 2019“…The study proves the efficacy of the GA approach in optimisation of machining parameters for improved surface roughness.…”
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Surface Moisture Content Retrieval from Visible/Thermal Infrared Images and Field Measurements
Published 2013“…Moisture content parameters were calculated, and then the moisture content algorithm was generated accordingly for the two study locations with three different “Split-window” algorithms and finally a spatial validation of satellite θ algorithms was conducted for accuracy assessment. …”
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Concrete surface inspection by using unmanned aerial vehicle (UAV) and deep learning algorithms YOLOv7 / Saffa Nasuha Rusdinadi
Published 2024“…These images are then processed using yolov7, a state-of-the-art object detection algorithm, to accurately identify and classify surface cracks. the study involves the collection of a comprehensive dataset of concrete surfaces with varying crack patterns, pre-processed using Roboflow and Opencv tools to enhance crack features. the annotated dataset is utilized to train and validate the yolov7 model, ensuring high precision which is 96.8% and 90.1% recall in crack detection. the performance of the model is evaluated through metrics such as precision, recall, and f1-score, demonstrating its robustness and reliability in detecting both fine and prominent cracks. …”
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Development Of Generative Computer-Aided Process Planning For Cnc Milling Parts_Pramodkumar S Kataraki
Published 2019“…Algorithm is developed to auto-recognize surfaces of a milling part and auto-generate ODV. …”
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Thin Film Roughness Optimization In The Tin Coatings Using Genetic Algorithms
Published 2017“…In RSM validation phase, the actual surface roughness fell within 90% prediction interval (PI). …”
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Concrete surface inspection by using Unmanned Aerial Vehicle (UAVs) and deep learning algorithms Yolov7
Published 2024“…These images are then processed using Yolov7, a state-of-the-art object detection algorithm, to accurately identify and classify surface cracks. …”
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Conference or Workshop Item -
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Surface and Near-surface Moisture Content Assessment using Multi-Temporal Satellite Images over Perak Tengah and Manjung Regions, Malaysia
Published 2013“…The study area was divided into three basic classes according to the nature of surface cover which were: urban area, agricultural area and multi-types surface cover area. …”
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Enhancing pineapple cultivar classification: a framework for image quality, feature extraction, and algorithmic refinement
Published 2025“…The proposed algorithmic refinements integrate chromatic and morphological attributes, particularly surface area and optimise logical operators to enhance accuracy. …”
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Modeling and optimization of cold extrusion process by using response surface methodology and metaheuristic approaches
Published 2018“…Minimization of punch load during the extrusion process was first formulated as a nonlinear programming model using response surface methodology in this study. The established extrusion force model was then taken as the fitness function. …”
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Modeling And Optimization Of Physical Vapour Deposition Coating Process Parameters For Tin Grain Size Using Combined Genetic Algorithms With Response Surface Methodology
Published 2015“…Optimization of thin film coating parameters is important in identifying the required output.Two main issues of the process of physical vapor deposition (PVD) are manufacturing costs and customization of cutting tool properties.The aim of this study is to identify optimal PVD coating process parameters.Three process parameters were selected, namely nitrogen gas pressure (N2),argon gas pressure (Ar),and Turntable Speed (TT),while thin film grain size of titanium nitrite (TiN) was selected as an output response.Coating grain size was characterized using Atomic Force Microscopy (AFM) equipment.In this paper,to obtain a proper output result,an approach in modeling surface grain size of Titanium Nitrite (TiN)coating using Response Surface Method (RSM) has been implemented. …”
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Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution
Published 2006“…Currently testing the validation of the proposed segmentation in a validation study that compares resulting MS lesion as well as gray and white matter tissue structures with Neural Network expert segmentation system. …”
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Theory-guided machine learning for predicting and minimising surface settlement caused by the excavation of twin tunnels / Chia Yu Huat
Published 2024“…To enhance prediction efficiency, validated numerical models serve as the foundation for data generation. …”
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Thesis -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Using Image Processing Technique in Packaging Decoration
Published 2009“…The aim of this thesis is to develop an application for packaging decoration purpose that allow user to apply image processing algorithm onto the decoration image and subsequently paste the decoration image on a flat and curve surface in order the decoration image to be viewed at different angles. …”
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