A bipolar VSC-HVDC system with multiple operation modes can improve the reliability of power grids. However, the overvoltage level is different for multiple HVDC links, which may lead to inadaptability of the existing...
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Registration of point clouds is a fundamental task in robotic SLAM pipelines. Typically this task is performed only on point clouds of the same sensor or at least the same sensing modality. However, robots designed fo...
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This paper proposes a self adaptive physics informed neural network (SAPINN) model to predict the degree of polymerization (DP) of oil-impregnated paper insulation to quantify the level of degradation and the remainin...
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A new three-phase hybrid-excited multi-tooth switched reluctance motor with embedded permanent magnets is proposed, capable of achieving higher torque density for transportation electrification applications. Operating...
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Vehicle suspension systems play a pivotal role in ensuring both comfort and safety during driving by maintaining stability and handling. Recent advancements in reinforcement learning (RL) for control design offer adap...
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The Chief Complaint (CC) is a crucial component of a patient's medical record as it describes the main reason or concern for seeking medical care. It provides critical information for healthcare providers to make ...
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Image captioning is an emerging field in machine *** refers to the ability to automatically generate a syntactically and semantically meaningful sentence that describes the content of an *** captioning requires a comp...
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Image captioning is an emerging field in machine *** refers to the ability to automatically generate a syntactically and semantically meaningful sentence that describes the content of an *** captioning requires a complex machine learning process as it involves two sub models:a vision sub-model for extracting object features and a language sub-model that use the extracted features to generate meaningful ***-based vision transformers models have a great impact in vision field *** this paper,we studied the effect of using the vision transformers on the image captioning process by evaluating the use of four different vision transformer models for the vision sub-models of the image captioning The first vision transformers used is DINO(self-distillation with no labels).The second is PVT(Pyramid Vision Transformer)which is a vision transformer that is not using convolutional *** third is XCIT(cross-Covariance Image Transformer)which changes the operation in self-attention by focusing on feature dimension instead of token *** last one is SWIN(Shifted windows),it is a vision transformer which,unlike the other transformers,uses shifted-window in splitting the *** a deeper evaluation,the four mentioned vision transformers have been tested with their different versions and different configuration,we evaluate the use of DINO model with five different backbones,PVT with two versions:PVT_v1and PVT_v2,one model of XCIT,SWIN *** results show the high effectiveness of using SWIN-transformer within the proposed image captioning model with regard to the other models.
Mobile networks have seen more than a thousand times traffic increases in the past decade. Network operators face an ever increasing demand and cost to deploy denser networks in order to maintain the quality of servic...
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The demand for electricity is increasing exponentially day by day,especially with the arrival of electric *** the smart community neighborhood project,electricity should be produced at the household or community level...
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The demand for electricity is increasing exponentially day by day,especially with the arrival of electric *** the smart community neighborhood project,electricity should be produced at the household or community level and sold or bought according to the *** the actors can produce,sell,and buy according to the demands,thus the name *** solutions can contribute to this in several ways,such as machine learning for analyzing the household data for customer demand and peak hours for the usage of electricity,blockchain as a trustworthy platform for selling or buying,data hub,and ensuring data security and privacy of ***:Token for controlled computation is a framework that allows users to analyze the data without moving the data from the data owner's *** also ensures the data security and privacy of the ***,in this article,we will show the importance of the TOTEM architecture in the EnergiX project and how the extended version of TOTEM can be efficiently merged with the demands of the current and similar projects.
In the process of generating conventional FDTD meshes, the model voxelization often takes up too many computational resources. To address this issue, this paper is devoted to presenting an effective mesh voxelization ...
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