In this study, two deep learning models for automatic tattoo detection were analyzed;a modified Convolutional Neural Network (CNN) and pre-trained ResNet-50 model. In order to achieve this, ResNet-50 uses transfer lea...
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The recent renewed interest in amphibious seaplane operation has stimulated the research related to this class of airplane. In fact, modern techniques previously developed for conventional land planes are now being mo...
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Recent advancements in spherical microphone array technology and binaural rendering methods enable plausible auralization of measured spatial sound fields over headphones with preservation of spatial auditory percepti...
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Drive Wave is a device that can help drivers communicate with other road users by displaying familiar words and icons as well as a speech to text feature that can make it easier for drivers to communicate with other r...
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ISBN:
(数字)9798331508616
ISBN:
(纸本)9798331508623
Drive Wave is a device that can help drivers communicate with other road users by displaying familiar words and icons as well as a speech to text feature that can make it easier for drivers to communicate with other road users. in this work, a system design prototype consisting of two devices, namely Remote and LED message board. The most spoken words used and icons displayed on the LED message board are controlled wireless using a Remote using the ESP-NOW protocol and Bluetooth Low Energy (Bluetooth LE). The two ways of he LED message board controlled by the remote are manual and automatic speech to text converter system controlled the LED message board displayed. the manual way, the user pressed the button to choice the word to be displayed. in the automatic voiced control, the LED displayed the word uttered by the user. the automatic voiced controlled applied Mel-frequency cepstral coefficients (MFCC) as feature extraction techniques and Long Short-Term Memory (LSTM) method for word identification methods. The results showed that the automatic voice controlled 99.78% and 100% for training and validating accuracy, respectively. the real testing result showed that 24 times testing which have 100% accuracy.
Industry-Academy Collaborative Research (IAC) in Software engineering is being applied and developed widely in practice. These collaborative, research practices help both academic and software industry environments. A...
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In this paper, we consider a scheduling issue for parcel delivery and pickup services by a truck-drone last-mile delivery system. We are given a single carrier truck and multiple identical drones to serve a finite set...
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Accurate anomaly classification in solar modules is crucial for efficient solar power system monitoring and maintenance. This study explores deep learning, specifically Convolutional Neural Networks (CNNs), for automa...
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For centuries, emergencies have been a recurring situation in cities. Natural or human-induced emergency situations can cause infrastructural damages in cities, potentially resulting in injuries, death, and economic l...
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Solar-powered dryers are still expensive and difficult to obtain for farmers with medium to low production capacity. For this reason, it is necessary to develop technology on a solar-powered dryer with a solar panel c...
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This paper presents a design to improve the robustness of visual SLAM(vSLAM). A processing step of feature-removal is added to the tracking thread of the conventional ORB-SLAM2 algorithm to improve the localization ac...
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