Due to the widespread use of computers, assembly language is indispensable in operating computer software. Learning assembly language is particularly important. However, it requires strong logical and spatial imaginat...
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Dynamic gesture recognition plays an important role in natural human-computer interaction. Gesture image sequences can express more complex interaction intentions. Currently, the majority of dynamic gesture recognitio...
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Modern society has made mobile devices a necessary component in the daily lives of humans, and malware is growing at the same time. Users often utilize Android programs to conduct a variety of tasks, and the security ...
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Public transportation systems are often not taken into account by the parents as a mode of transport, due to the risks and lack of safety measures they possess. The Internet of Things (IoT) based applications and devi...
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Due to the expanding application field of gaze estimation, gaze estimation has become an important research topic in human-computer interaction and computer vision. Most of the current mainstream methods for gaze esti...
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Human Action Recognition (HAR) from a visual stream has recently attained much researcher consideration in the domain of computer vision. Due to its large applications like monitoring of health, home automation, and t...
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The study of neurodegenerative diseases has thus given artificial intelligence an opportunity to solve traditional problems within the context of the big data era. Most neurodegenerative disorders are associated with ...
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ISBN:
(纸本)9798350368109
The study of neurodegenerative diseases has thus given artificial intelligence an opportunity to solve traditional problems within the context of the big data era. Most neurodegenerative disorders are associated with complex genetic fingerprints that are currently the center of intense contemporary study. Multiomic data, when combined with neuroimaging and electronic health record data, might become important in making the most detailed patient profile workable. Deep learning will make it feasible to generate intractable profiles for early pathologic diagnosis, better treatment personalization, and valuable insights into neurodegenerative diseases for drug development and repurposing. In this sense, this paper delves into how relevant research has sought to demonstrate with the available data sources in biomedicine that deep learning may play a pivotal role in getting a more precise understanding of the mechanisms behind neurodegenerative diseases such as Alzheimer's and Parkinson's. Diseases that are associated with a neurodegenerative course, like Alzheimer's, Parkinson's, and amyotrophic lateral sclerosis (ALS), create complex challenges because of their multifactorial etiologies and heterogeneous pathologies. The birth of big data and artificial intelligence (AI) has inexorably shifted the landscape of research on neurodegenerative disorders through innovative insights and opportunities for the understanding of these conditions. This abstract investigates the multi-layered approach to neurodegenerative diseases facilitated by big data and AI. AI uses vast datasets from genomics, proteomics, neuroimaging, and clinical records to develop machine learning and deep learning skills to recognize patterns and relationships, predict disease progression, and find new biomarkers and therapeutic targets. Major findings include considerably improved diagnostic accuracy, personalized therapeutic approaches, and identification of disease mechanisms that are now known to be dr
The United States Department of Defense (DoD) has long been interested in aerial swarms for military intelligence, surveillance, and reconnaissance (ISR) missions. Through work with DoD partners, we found a unique nee...
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Flexible sensing film has a broad application prospect in the fields of medicine, wearable electronic devices, complex environment sensing, and others. In this paper, dimethylsiloxane (PDMS) was used as a flexible sub...
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Enterprise Resource Planning (ERP) is a powerful software program created to combine and streamline several company processes. Companies in developed countries frequently use it to increase their general effectiveness...
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