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input processing » text processing (Expand Search), melt processing (Expand Search)
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A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
Published 2022“…Different image steganography research methods are proposed recently but each has their advantages and disadvantages and still have necessity to develop some better image steganography mechanisms to achieve the reliability between the basics criteria of image steganography. …”
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143
Sentiment analysis for Arabizi in social media. (c2015)
Published 2015“…We also created an algorithm that lemmatizes Arabizi words, and classifies input sentences into positive, negative or neutral categories. …”
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masterThesis -
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Mitigating the impact of cultural diversity on the innovation process in the private sector in Dubai
Published 2017“…According to Ely and Thomas (2001), for easy running and management of organization’s operations and activities, it is paramount to ensure that all workers have clear mental and physical images of their co-workers and this provides healthy environment from which they can work harmoniously and in a coordinated manner. …”
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145
The image as a site of transgression: the case of Beirut counter-visuality since October 2019
Published 2023“…The circulation of the content online inspired a group of artists to remediate the digital image themselves into a series of artistic works, adding in the process additional layers of meaning and interpretation to its original context. …”
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Published 2023“…Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. …”
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CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Published 2023“…<p dir="ltr">Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing skills in children, resulting in poor writing abilities. …”
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149
Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review
Published 2022“…Artificial Intelligence (AI) is now combined with traditional diagnostic processes to improve the performance of non-invasive approaches. …”
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COVID-19 infection localization and severity grading from chest X-ray images
Published 2021“…Given the effects of COVID-19 on pulmonary tissues, chest radiographic imaging has become a necessity for screening and monitoring the disease. …”
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Personalized Social Image Organization, Visualization, and Querying Tool Using Low- and High-Level Features
Published 2016“…This requires low-level and high-level image feature extraction and processing, where: low-level features represent color, texture, and shape image descriptors, whereas high-level features consist of textual descriptors extracted from image annotations and surrounding texts. …”
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conferenceObject -
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MUSE Prototype for Music Sentiment Expression
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Low cost, flow-rate-controllable cryogenic cooling system for manufacturing processes
Published 2017“…In-process cryogenic cooling in fabrication processes is known to — among other benefits — extend tool life and improve the surface properties of a work-piece. …”
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conferenceObject -
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Performance prediction in online academic course: a deep learning approach with time series imaging
Published 2023“…We also propose to transform these time series of clicks into images using the Gramian Angular Field. The learning model makes use of the available extra demographic and assessment information. …”
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
Published 2022“…Here, breast ultrasound (US) images are preprocessed with a sigmoid filter followed by interference-based despeckling and then by anisotropic diffusion. …”
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Applications of artificial intelligence in ultrasound imaging for carpal-tunnel syndrome diagnosis: a scoping review
Published 2025“…</p><h3>Conclusion</h3><p dir="ltr">The integration of AI in US imaging for CTS diagnosis holds significant promise for transforming clinical practice. …”
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A Deep Learning based Process Model for Crack Detection in Pavement Structures
Published 2022“…We provide our methodology in developing the proposed model and the validation process in this paper. A dataset consisting of 500 sample images was used to test the model and our experiments showed that the proposed model is effective with a mean accuracy of 96% and a standard deviation of. 025. …”
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