The healthcare industry is undergoing a fundamental revolution with the integration of Quantum Natural Language Processing techniques for matching patient-clinical trials. This research envisions a paradigm where pati...
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To date, the study of the resistance between miRNA (microRNA) and drugs has consistently garnered widespread *** the resistance between miRNAs and drugs holds significant implications for disease treatment and the dev...
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Semantic Communication(SC)has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networ...
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Semantic Communication(SC)has emerged as a novel communication paradigm that provides a receiver with meaningful information extracted from the source to maximize information transmission throughput in wireless networks,beyond the theoretical capacity *** the extensive research on SC,there is a lack of comprehensive survey on technologies,solutions,applications,and challenges for *** this article,the development of SC is first reviewed and its characteristics,architecture,and advantages are ***,key technologies such as semantic extraction,semantic encoding,and semantic segmentation are discussed and their corresponding solutions in terms of efficiency,robustness,adaptability,and reliability are *** of SC to UAV communication,remote image sensing and fusion,intelligent transportation,and healthcare are also presented and their strategies are ***,some challenges and future research directions are presented to provide guidance for further research of SC.
In a growing demand of accurately predicting the stock market and inefficient complex markets the rising accurate relationship prediction is not adequately addressed by the conventional methods. The dynamic and comple...
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Liver cancer is a significant worldwide health issue that requires precise diagnosis techniques and efficient treatment options. This paper presents sophisticated deep learning (DL) algorithms for the segmentation and...
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Despite its many uses, deep learning (DL) is a key tool in the machine learning (ML) community’s toolbox. Numerous techniques have been developed to identify violence and criminal activity on video since many crimes ...
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Alzheimer's disease(AD)is the most frequent cause of dementia,however,and it is caused by a number of different *** regard to the elderly population all over the world,Alzheimer's disease is the seventh larges...
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Alzheimer's disease(AD)is the most frequent cause of dementia,however,and it is caused by a number of different *** regard to the elderly population all over the world,Alzheimer's disease is the seventh largest cause of mortality,disability,and ***,social isolation,inactivity,alcohol,smoking,obesity,diabetes,high blood pressure,and age are all variables that can increase the likelihood of getting *** risk factors include social isolation,depression,and smoking.A diagnosis of Alzheimer's disease at an earlier stage may improve the odds of receiving care and *** professionals often diagnose AD based on a limited number of *** the other hand,it is now possible to identify and categorize Alzheimer's disease(AD)because of technological advancements such as artificial intelligence(AI).However,to identify the current AI-enabled approaches,we must conduct an investigation into the state of the *** breakthrough in diagnosis methodologies will enable the development of the Clinical Decision Support System(CDSS),capable of automatically diagnosing Alzheimer's disease(AD)without human *** this publication,we conduct a systematic review of sixty research articles previously reviewed by other *** systematic review sheds light on the synthesis of new knowledge and *** study discusses the current approaches for machine learning,deep learning methods,ensemble models,transfer learning,and methods used for early Alzheimer's disease *** paper provides answers to a large number of research issues and synthesizes fresh information that is helpful to the reader on many elements of AI-enabled approaches for Alzheimer's disease *** addition,it has the potential to stimulate additional research into more effective methods of computer-based intelligent identification of Alzheimer's disease.
Wireless sensor networks are heavily utilized in numerous applications in both industry and science. As the original data is transferred from the sensor node to the sink node, unauthorized individuals attempt to acces...
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The paper provides an explicit outlook on the development of a comprehensive sentiment analysis systems for online social media by targeting user-generated text and images on platforms such as Twitter, Facebook, and I...
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Innovative dyadic discrete wavelet transform techniques are used to improve multi-directional single-channel speech accuracy. Materials and Methods: The experiment used a Kaggle dataset, which is open-access. The clin...
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