Object detection in railway will help to enhance safety, operational efficiency, and the overall reliability of rail trans portation. Various technologies and methods can be employed for object detection in railway li...
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Battery Electric Vehicles (BEVs) have unraveled as a potential solution to address the global pollution crisis and alter the global oil trade structure. With various evolving technologies and improving the efficiency ...
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Word recognition stands as a pivotal element within natural language processing (NLP) and machine learning, crucial for diverse applications ranging from automatic speech recognition to optical character recognition a...
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Recently, emphasis has been placed on the applications of ISL since they assist people with HIs in their day- to-day lives in diversely populated India. This review paper aims to present years of development in real-t...
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Placements are of utmost significance to academic organizations and college students. A strong foundation for the professional field is built up for the student beforehand, and a positive placement report gives a scho...
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Time elapsed till an event of interest is often modeled using the survival analysis methodology, which estimates a survival score based on the input features. There is a resurgence of interest in developing more accur...
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ISBN:
(纸本)9798400701023
Time elapsed till an event of interest is often modeled using the survival analysis methodology, which estimates a survival score based on the input features. There is a resurgence of interest in developing more accurate prediction models for time-to-event prediction in personalized healthcare using modern tools such as neural networks. Higher quality features and more frequent observations improve the predictions for a patient, however, the impact of including a patient's geographic location-based public health statistics on individual predictions has not been studied. This paper proposes a complementary improvement to survival analysis models by incorporating public health statistics in the input features. We show that including geographic location-based public health information results in a statistically significant improvement in the concordance index evaluated on the Surveillance, Epidemiology, and End Results (SEER) dataset containing nationwide cancer incidence data. The improvement holds for both the standard Cox proportional hazards model and the state-of-the-art Deep Survival Machines model. Our results indicate the utility of geographic location-based public health features in survival analysis.
This paper mainly focuses on getting acquainted with various applications of Programmable Logic Controller (PLC) used in industries. This paper compares and contrasts several research publications and projects on appl...
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This research study aims to investigate the two rapidly growing fields of Augmented Reality and Virtual Reality from their technical aspect, possible uses, issues, and evolution. AR and VR are innovations that have ex...
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Efficiently categorizing physical system models is crucial for data science applications in scientific and engineering realms, facilitating insightful analysis, control, and optimization. While current methods, often ...
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Technology must be developed to suit the older population in an increasingly elderly global society, especially concerning the development of user-friendly UI/UX (User Interface/User Experience) for smart devices. Whi...
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ISBN:
(纸本)9798350373141;9798350373158
Technology must be developed to suit the older population in an increasingly elderly global society, especially concerning the development of user-friendly UI/UX (User Interface/User Experience) for smart devices. While phones and tablets offer many benefits for seniors, age-related cognitive, physical, and sensory changes pose challenges in creating an accessible and intuitive UI/UX. This study aims to explore adaptive UI/UX solutions to overcome these issues and alleviate technology anxiety among older users. The research involved approximately 100 elderly individuals from India who identified common challenges faced when using applications. Subsequently, psychometric techniques based on our findings were employed in a test. Continuous use of the application by individuals allowed its UI to adapt to user actions, customizing it to their behavior patterns. A voice-task model was developed that navigated through the application to complete a task that the user desires. Focused on banking and financial applications, along with cab booking applications, the study targeted age groups between 60 and 75 years. Conclusively, this research highlights the effectiveness of adaptive UI/UX designs in enhancing the lives of geriatric users. It also provides valuable insights and practical guidelines for designing technologies that align with their needs.
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