In this paper, we propose the speech quality assessment transformer utilizing listener dependent modeling (SQAT-LD) mean opinion score (MOS) prediction system, which was submitted to the 2023 VoiceMOS Challenge. The s...
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Aggregate production planning is an essential stage in the production process by companies because the planning stage will affect the next stage. It will be crucial if the company has several production branch locatio...
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The evidence-based literature on healthcare is akin to a vast universe, continually expanding with new discoveries and insights. In this dynamic landscape, the integration oftools and multi-omics approaches a beacon o...
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This research aims to construct a two-dimensional image to represent an underwater geometry map with a Side Scan Sonar (SSS) mounted on a Hybrid Autonomous Underwater Glider (HAUG). Building the underwater map has two...
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Osteoarthritis is the most common joint disease, affecting about 12% of the population. It mainly affects the weight-bearing hip and knee joints but is also commonly found in other locations (spine, shoulder, elbow, a...
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A novel method called cooperative communication allows devices with a single antenna to share their antennae and assist other nodes in signal relaying. Thus, enhanced reception reliability, lower power usage, and incr...
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The need for a building with a green building concept is now very important for environmental conservation. The concept of green building is to design a building that has a more efficient consumption of electrical ene...
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A low-profile ultra-wideband(UWB)band-stop frequency selective surface(FSS)is designed for S-,C-,X-and Ku-bands communication *** FSS is constructed by using square and circular loop elements printed on the top and bo...
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A low-profile ultra-wideband(UWB)band-stop frequency selective surface(FSS)is designed for S-,C-,X-and Ku-bands communication *** FSS is constructed by using square and circular loop elements printed on the top and bottom sides of the RO3210 *** FSS has been designed to reduce the electromagnetic interference(EMI)as well as to mitigate the harmful effects of electromagnetic radiation on the human body caused by different radio *** dimension and size of the UWB FSS have been reduced to 0.12λ×0.12λand 90%,respectively,as compared to the reported *** other advantages of the proposed FSS are that it is low profile,it has a simplified geometry and it ensures better angular and polarization stability of up to 85◦.The-10 and-20 dB bandwidths of the proposed FSS are 146%(2.0-13.0 GHz)and 80%(4.87-11.42 GHz),*** results have been obtained using ANSYS HFSS and verified through measured results.
Recently, the Internet of Things (IoT) has been considered for its applications in diverse settings, such as intelligent urban environments, advanced manufacturing facilities, and environmental surveillance. However, ...
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Recently, the Internet of Things (IoT) has been considered for its applications in diverse settings, such as intelligent urban environments, advanced manufacturing facilities, and environmental surveillance. However, significant obstacles exist in the implementation of these IoT solutions due to various issues, such as heterogeneity, diverse application requirements, restricted resources, and massive connectivity. To tackle these issues, merging satellite-based networks with conventional ground-based networks has been proposed as an effective and affordable option for enhancing IoT device connectivity.
Text extraction from images using the traditional techniques of image collecting,and pattern recognition using machine learning consume time due to the amount of extracted features from the *** Neural Networks introdu...
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Text extraction from images using the traditional techniques of image collecting,and pattern recognition using machine learning consume time due to the amount of extracted features from the *** Neural Networks introduce effective solutions to extract text features from images using a few techniques and the ability to train large datasets of images with significant *** study proposes using Dual Maxpooling and concatenating convolution Neural Networks(CNN)layers with the activation functions Relu and the Optimized Leaky Relu(OLRelu).The proposed method works by dividing the word image into slices that contain *** pass them to deep learning layers to extract feature maps and reform the predicted *** Short Memory(BiLSTM)layers extractmore compelling features and link the time sequence fromforward and backward directions during the training *** Connectionist Temporal Classification(CTC)function calcifies the training and validation loss *** addition to decoding the extracted feature to reform characters again and linking them according to their time *** proposed model performance is evaluated using training and validation loss errors on the Mjsynth and Integrated Argument Mining Tasks(IAM)*** result of IAM was 2.09%for the average loss errors with the proposed dualMaxpooling and *** the Mjsynth dataset,the best validation loss rate shrunk to 2.2%by applying concatenating CNN layers,and Relu.
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