The paper proposes a methodology for implementing Sentiment Analysis on user feedback of a social media website named 'DevelopersBay'. This study has performed a sentiment analysis of user feedback received on...
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In the process of making countries developed, the environment is often neglected. Various inventions made to help as well as provide comfort to mankind such as automobiles, air conditioners, etc. led to the deteriorat...
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In this study, we propose a data-driven survival risk analysis approach in support of predictive maintenance management of a large portfolio of industrial assets. The concrete use case considered is a large portfolio ...
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Large-scale pre-training has shown remarkable performance in building open-domain dialogue ***,previous works mainly focus on showing and evaluating the conversational performance of the released dialogue model,ignori...
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Large-scale pre-training has shown remarkable performance in building open-domain dialogue ***,previous works mainly focus on showing and evaluating the conversational performance of the released dialogue model,ignoring the discussion of some key factors towards a powerful human-like chatbot,especially in Chinese *** this paper,we conduct extensive experiments to investigate these under-explored factors,including data quality control,model architecture designs,training approaches,and decoding *** propose EVA2.0,a large-scale pre-trained open-domain Chinese dialogue model with 2.8 billion parameters,and will make our models and codes publicly *** and human evaluations show that EVA2.0 significantly outperforms other open-source *** also discuss the limitations of this work by presenting some failure cases and pose some future research directions on large-scale Chinese open-domain dialogue systems.
Fog networking is an aspect of the IoT (Internet of Things) idea, which sees most of the products used by humans on a daily basis connected to one another. Smart phones, smart health monitoring equipment, as...
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One of the actual tasks of movement classification based on electromyography is the choice of the most informative set of features characterizing the movements. Increasing the number of features may decrease the learn...
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Face recognition technology using AI has seen paradigm shift in the evolving world. Automatic attendance monitoring using real-time face identification is a solution to handle attendance in any small/large as well as ...
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We present a simple yet effective method for constructing 3D self-supporting surfaces with planar quadrilateral(PQ)*** with a triangular discretization of a self-supporting surface,we firstcompute the principal curvat...
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We present a simple yet effective method for constructing 3D self-supporting surfaces with planar quadrilateral(PQ)*** with a triangular discretization of a self-supporting surface,we firstcompute the principal curvatures and directions of each triangular face using a new discrete differential geometryapproach,yielding more accurate results than existing ***,we smooth the principal direction field to reduce the number of ***,we partition all faces into two groups in terms of principalcurvature *** each face with small curvature difference,we compute a stretch matrix that turns the principal directions into a pair of conjugate *** the remaining triangular faces,we simply keep their smoothed principal ***,applying a mixed-integer programming solver to the mixed principal and conjugate direction field,we obtain a planar quadrilateral *** results show that our method is computationally efficient and can yield high-quality PQ meshes that well approximate the geometry of the input surfaces and maintain their self-supporting properties.
We give an overview of the 2022 Computational Geometry Challenge targeting the problem Minimum Partition into Plane Subsets, which consists of partitioning a given set of line segments into a minimum number of non-cro...
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We give an overview of the 2022 Computational Geometry Challenge targeting the problem Minimum Partition into Plane Subsets, which consists of partitioning a given set of line segments into a minimum number of non-crossing subsets.
This research introduces a novel approach that integrates Deep Contextual Learning (DCL), specifically the DCL-256-32 model with an embedding model to accurately classify offense levels within the textual data. The DC...
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