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New phase transitions for formulas in Lukasiewicz logic

Frontiers of Computer Science 2020年第6期14卷 197-199页

作者： Mohamed EL HALABY areeg abdalla Department of Mathematics Faculty of ScienceCairo UniversityGiza 12613Egypt

1 Introduction L-clausal forms is an interesting class of formulas in Eukasiewicz logic that was shown to be NP-complete[1].These formulas are defined over the following Lukasiewicz operations:negation-x=1-x strong di... 详细信息

关键词： formulas transitions Lukasiewicz

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Tumor microenvironment and immune evasion in head and neck squamous cell carcinoma

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International Journal of Oral Science 2021年第3期13卷 219-229页

作者： areeg Elmusrati Justin Wang Cun-Yu Wang Laboratory of Molecular Signaling Division of Oral Biology and MedicineSchool of DentistryUCLALos AngelesCAUSA Jonsson Comprehensive Cancer Center UCLALos AngelesCAUSA

Head and neck squamous cell carcinoma(HNSCC),an aggressive malignancy,is characterized by high morbidity and low survival rates with limited therapeutic options outside of regional surgery,conventional cytotoxic chemotherapy,and *** studies have supported the synergistic role of the tumor microenvironment(TME)in cancer *** immune system,in particular,plays a key role in surveillance against the initiation,development,and progression of *** understanding of how neoplastic cells evolve and evade the immune system whether through self-immunogenicity manipulation,or expression of immunosuppressive mediators,provides the foundation for the development of advanced ***,the crosstalk between cancer cells and the host immune system have a detrimental effect on the TME promoting angiogenesis,proliferation,and *** review provides a recent insight into the role of the key inflammatory cells infiltrating the TME,with a focus on reviewing immunological principles related to HNSCC,as cancer immunosurveillance and immune escape,including a brief overview of current immunotherapeutic strategies and ongoing clinical trials.

关键词： squamous chemotherapy outside

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Intelligent Sign Multi-Language Real-Time Prediction System with Effective Data Preprocessing

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Journal of Computer and Communications 2023年第10期11卷 120-134页

作者： Doaa E. Elmatary Doaa M. Maher areeg Tarek Ibrahim Department of Communications and Computers AlSafwa High Institute of Engineering Qalyubia Egypt

A multidisciplinary approach for developing an intelligent sign multi-language recognition system to greatly enhance deaf-mute communication will be discussed and implemented. This involves designing a low-cost glove-based sensing system, collecting large and diverse datasets, preprocessing the data, and using efficient machine learning models. Furthermore, the glove is integrated with a user-friendly mobile application called “Life-sign” for this system. The main goal of this work is to minimize the processing time of machine learning classifiers while maintaining higher accuracy performance. This is achieved by using effective preprocessing algorithms to handle noisy and inconsistent data. Testing and iterating approaches have been applied to various classifiers to refine and improve their accuracy in the recognition process. Additionally, the Extra Trees (ET) classifier has been identified as the best algorithm, with results proving successful gesture prediction at an average accuracy of about 99.54%. A smart optimization feature has been implemented to control the size of data transferred via Bluetooth, allowing for fast recognition of consecutive gestures. Real-time performance has been measured through extensive experimental testing on various consecutive gestures, specifically referring to Arabic Sign Language (ArSL). The results have demonstrated that the system guarantees consecutive gesture recognition with a lower delay of 50 milliseconds.

关键词： Hand Gesture Translator Sign Multi-Language Machine Learning Models Deaf-Mute Community

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