Accurate anticipation and surveillance of seismic activities are crucial for safeguarding human life and infrastructure. The integration of advanced deep learning algorithms has emerged as a transformative approach, o...
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ISBN:
(纸本)9798350389166;9798350389173
Accurate anticipation and surveillance of seismic activities are crucial for safeguarding human life and infrastructure. The integration of advanced deep learning algorithms has emerged as a transformative approach, offering unprecedented precision in interpreting intricate seismic data patterns. This review delves into the spectrum of recent advancements in deep learning methodologies, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Long Short-Term Memory networks (LSTMs), among others. We scrutinize their implementation in seismic phase identification, event detection, and predictive modelling. Furthermore, we underscore the existing challenges and chart a course for future research, aiming to further integrate these algorithms into seismological practices.
This paper demonstrates Pyneapple-L, an open-source library designed to enhance scalable spatial analysis through learning-based techniques. Through collaboration with social scientists and domain experts, we identify...
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PWC-Net is a convolutional neural network for optical flow estimation that is superior in both inference speed and accuracy. However, the detection accuracy of this network for small moving objects is poor, and there ...
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This research paper presents the development of a weather forecasting model that incorporates real-time data through Application Programming Interfaces. This model utilises simple algorithms to analyse meteorological ...
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This work focus to develop an Efficient device for the detection of air pollutants which is cost-effective, user friendly and wearable device. This device mainly works with the sensors and it performs with various asp...
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Facial Emotional Recognition (FER) in healthcare can help to monitoring the patient by analyzing the emotional state of the patient through various emotional states. In medical industry it can help to trace the emotio...
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As technology has evolved, digital images have become increasingly popular. However, these images often exhibit a high degree of correlation and redundancy among pixels, which creates specific requirements for applica...
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Owing to the Internet of Vehicles (IoV) quick growth, both academics and the sector have paid close emphasis to vehicular edge computation (VEC). Nevertheless, because of the unbalanced congestion and the strict delay...
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The UniVibe project represents a groundbreaking endeavor in the realm of student interaction within the university community. This dynamic and inclusive platform, designed as a web application, aims to revolutionize t...
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ISBN:
(纸本)9798350356816
The UniVibe project represents a groundbreaking endeavor in the realm of student interaction within the university community. This dynamic and inclusive platform, designed as a web application, aims to revolutionize the way students connect, collaborate, and engage within the academic environment. At its core, UniVibe addresses the challenges associated with traditional communication barriers, such as batch divisions, academic year separations, and limited avenues for spontaneous interactions. The project embraces a strategic fusion of cutting-edge technologies, including *** for a hybrid rendering approach, Websockets for real-time communication, and WebRTC for multimedia sharing capabilities. The user-centric design of UniVibe places a strong emphasis on creating a seamless and responsive interface. The front-end architecture adopts a component-based structure, promoting code modularity and reusability. The hybrid rendering capabilities of *** contribute to optimized performance, combining server-side rendering (SSR) and static site generation (SSG) for swift initial loads and real-time content updates. UniVibe transcends conventional social circles, creating an environment where users can engage in real-time discussions, collaborate on projects, and share multimedia content effortlessly. WebRTC integration introduces multimedia sharing capabilities, allowing users to engage in face-to-face interactions and collaborative endeavors in real time. This feature enriches the depth of communication within the platform, providing a multifaceted experience that goes beyond text-based interactions. The back-end architecture, ensures scalability and efficient handling of concurrent connections. Aiven for database, accommodates the dynamic nature of user-generated content, providing flexibility in data storage. As for Security measures, JSON Web Tokens (JWT) and Clerk is being used for authentication and authorization, safeguard user information and ensure the confid
The demand to enact state-level computerscience (CS) policies rapidly increased across the United States in response to advances in emerging technologies (e.g. Artificial Intelligence, cybersecurity, etc). The author...
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ISBN:
(纸本)9798400706264
The demand to enact state-level computerscience (CS) policies rapidly increased across the United States in response to advances in emerging technologies (e.g. Artificial Intelligence, cybersecurity, etc). The authors of this paper present the implications of K-12 CS education policies in the state of Tennessee, and recommendations to move towards justice-centered approaches after districts received Strategic CSforALL Resource Implementation Planning Tool (SCRIPT) workshops to help set goals and prioritize CS implementation. Evidence connected to the CS education literature accompanied by the authors, who are partners supporting local education agencies (LEAs), and qualitative findings from workshops provided further reasoning for policy recommendations.
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