This paper presents a novel miniaturized implantable antenna operating in the industrial, scientific, and medical band of 2.4-2.48 GHz for medical implant applications. A biocompatible material, Rogers 3210 with a die...
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This Sleep apnea is an important and common disorder that leads to the reduction or interruption of respiratory flow during sleep due to obstruction of the airways. Currently, nocturnal polysomnography (PSG) is the st...
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We have proposed an aerial view vehicle detection, classification, and tracking system using the You Look Only Once Version 7 (YOLOv7) machine learning model for automatic ad-hoc traffic statistical information gather...
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The trajectory planning and tracking problem are critical points of intelligent vehicles concerning their safety and *** these parts are separated,interactions should be made between them,especially when sudden change...
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The trajectory planning and tracking problem are critical points of intelligent vehicles concerning their safety and *** these parts are separated,interactions should be made between them,especially when sudden changes and disturbances *** paper presents a method that integrates the two parts using a cascade ***,the proposed method deals with the interaction between the lateral and the longitudinal trajectory based on dynamical *** whole problem is handled using the model predictive method based on online *** system receives the path borders as input and generates the control requests for the actuators on its *** configuration space of the system can be maximized to gain stability by handling the lateral-longitudinal parts and the trajectory planning and tracking in one complex *** main advantage of the proposed approach is that the optimization problem in the predictive method is formulated so that the path and dynamics are considered equality and inequality constraints,and the cost function includes only a physical phenomenon to be minimized without tuning *** evaluation of the proposed algorithm is presented in this paper based on simulation and real-time measurements results.
The World Health Organization (WHO) reports that diabetic retinopathy affects one-third of diabetics, regardless of their stage of the disease. Several research efforts are focused on its automated detection and diagn...
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Establishing early warning systems and efficient management of water resources in tidal reaches is crucial for achieving adequate flood protection. In tidal reaches, the river stage interacts non-linearly with tides (...
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we introduced image encryption algorithms with high sensitivity, such that even a single alteration in a plain-text image would result in a complete transformation of the ciphered image. The first algorithm employed p...
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Driven by the imperative to reduce emissions from transportation, Electric Vehicles (EVs) are proliferating rapidly. However, the widespread adoption of EV charging facilities poses a potential threat to the stability...
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The outbreak of COVID 19 has increased the anxiety and stress among teachers and students. This has increased the need for gamified learning systems (GLS) to make the educational process more attractive and increase t...
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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.
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