In this paper, we have proposed the testing of the Graphical User Interface (GUI) applications using the idea of finite state machines. Results have been compares with the model generated using Simulink's script, ...
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Answering a question related to a given image is called as visual question answering (VQA).The state-of-the-art VQA models require a convolutional neural network (CNN) for image feature extraction and a family of recu...
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With the increasing urbanization of people on day-to-day basis, the cities have developed issues that need a smart solution to overcome them with the aid of the IoT and transform cities into smart cities. Firstly, thi...
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Nowadays, prevention control of message sharing as well as security enhancement in speech transmission which occurs due to users having a passion for novel inventions, communication system benefits. In this paper, the...
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Nowadays, prevention control of message sharing as well as security enhancement in speech transmission which occurs due to users having a passion for novel inventions, communication system benefits. In this paper, the main objective is to design a speech steganography framework with covert message data transmission including speech. The secret message data is encrypted with the help of the Hyperelliptic Curve Cryptography (HECC) algorithm to provide a maximum security environment. The designed speech steganography framework is integrated with the pause removal mechanism respectively. Since, the Stegospeech is sent into the channel, as the Stegospeech as of now obtained the secret Message data its transfer speed will increment. Then at that point, it needs high bandwidth for transmission as well as needs higher energy utilization. In this manner, to decrease the data transfer speed, the best procedure is to eliminate the undesirable pause in the speech, the pause removal strategy carried out utilizing the combinations of Ensemble Empirical Mode Decomposition (EEMD) with Hilbert-Huang Transform (HHT). Then, some techniques are used to embed the message into the speech like 4-level Discrete Wavelet Transformation (DWT), Matrix definition, and Single Value Decomposition (SVD). They are likewise utilized for the secret message extraction from speech signal as well as message information from the Stegospeech signal. The presented strategy is carried out and analyzed towards the different invasions in the output. The Correlation Coefficient (CC), the Peak Signal-To-Noise Ratio (PSNR), the Signal-To-Noise Ratio (SNR), the Number of Pixels Changing Rate (NPCR), and the Unified Average Changing Intensity (UACI) are some of the popular standards that are utilised when comparing two encrypted voice signals. The numbers 33.3% and 100%, respectively, for UACI and NPCR are considered to be optimum states. It is noticed that the presented technique provides better Statistical resul
In computer Vision, image captioning is one of the most fascinating topics. Image captioning simply says generating sentences from a given picture. The process of generating captions from images includes two processes...
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Image captioning is a challenging task that needs the knowledge from both computer vision algorithms and language processing techniques. The model must be able to understand an image and then apply language generation...
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A visual question answering (VQA) system uses the domain of both computer vision (CV) and natural language processing (NLP). These systems produce an answer in a given natural language corresponding to a natural langu...
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To make a Driver Drowsiness Detection that can be used to check if the driver is drowsy or not. Since more than half of vehicle-related accidents occur due to human error, many these accidents occur due to that slight...
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Diabetes is affecting a lot of people nowadays. It is a very common disease throughout the world. People found it difficult to predict the probability of this disease at an earlier stage. The disease is not curable ye...
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In India, lots of people are suffering from diabetes. People have to take medicines only to control diabetes because it cannot be cured permanently. So, there is a need for early prediction. In this work, SVM is used ...
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