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Speech synthesis using generative adversarial network for improving readability of Hindi words to recuperate from dyslexia
Children learn and develop their abilities at their own pace. One of the most basic skills that they acquire is reading. However, some children...
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Rediscovering West Chinatown: Immersive Game Design Revives Toronto’s Chinese Cultural Heritage
This project focuses on recovering marginalized stories from Toronto’s West Chinatown. It aims to make these findings accessible through interactive... -
VaultBox: Enhancing the Security and Effectiveness of Security Analytics
Security tools like Firewalls, IDS, IPS, SIEM, EDR, and NDR effectively detect and block threats. However, these tools depend on the system,... -
A CNN-LSTM-Based Hybrid Deep Learning Approach for Sentiment Analysis on Monkeypox Tweets
The research on sentiment analysis has shown a great deal of utility in the field of public health, specifically in the investigation of infectious...
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Text recuperated using ontology with stable marriage optimization technique and text visualization using AR
Written text stands as a cornerstone of communication in our daily lives. However, it is not uncommon for letters to be marred by obscurities,...
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Improved Database Security Using Cryptography with Genetic Operators
Database security is of utmost importance in today’s digital age where sensitive data is vulnerable to unauthorized access and cyber-attacks. Various...
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Are My Employees Able to and Do They Want to Work? The Baseline Investigation in a Follow up Study Regarding Managers’ Attitudes and Measures to Increase Employees’ Employability in an Extended Working Life
Background: The demographic change affects the retirement age, which has been postponed in many countries. Therefore, the number of senior employees... -
Hybrid scheme for safe speech transmission based on multiple chaotic maps, watermarking and Arnold scrambling algorithm
In this paper, we present a novel scheme for enhancing the security of speech information in communication systems. We build a hybridization of three...
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Academic information retrieval using citation clusters: in-depth evaluation based on systematic reviews
The field of science map** has shown the power of citation-based clusters for literature analysis, yet this technique has barely been used for...
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Auto-authentication watermarking scheme based on CNN and perceptual hash function in the wavelet domain
This paper presents a novel method for image watermarking authentication using Convolutional Neural Networks (CNN). The proposed method addresses the...
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Exploring trade-offs in public bus electrification under stochastic conditions
In this article, we address the question of electric bus planning and operation under stochastic travel time and energy consumption. Uncertainties in...
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An Improved Analysis of TNN-Based Managed and Unverified Learning Approaches for Optimum Threshold Resolve
Noise reduction is a crucial procedure in signal processing applications. The goal of de-major noising is to recover noise-free data that facilitates...
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Underwater Image Restoration and Enhancement Based on Machine and Deep Learning Algorithms
Underwater image processing is the key research of the last decade. Due to attenuation and scattering of light into beneath of ocean, it is... -
Recent advancement in haze removal approaches
Haze and fog are big reasons for road accidents. The haze occurrence in the air lowers the images quality captured by visible camera sensors. Haze...
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EfficientNet for Brain-Lesion Classification
In the development of technology, there are increasing cases of brain disease, there are more treatments proposed and achieved a positive result.... -
Analysis of V-Net Architecture for Iris Segmentation in Unconstrained Scenarios
Iris segmentation contains the most significant character in the iris recognition system. An accurate iris segmentation helps to increase the...
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Supporting Sense of Meaningful Life and Human Dignity in Digitally Assisted Physiotherapy Environment – Qualitative Secondary Research with Thematic Analyses and Inductive Synthesis
The goal of this secondary research was to create a model that aims at increasing the sense of meaningful life and human dignity in physiotherapy by... -
Intelligent Cognitive Fusion in Human-Robot Interaction: A Autism Spectrum Disorder Case Study
Edge computing has recently emerged as a transformative concept, facilitating the development of future technologies such as AI, robotics, IoT, and... -
BTS-ADCNN: brain tumor segmentation based on rapid anisotropic diffusion function combined with convolutional neural network using MR images
Brain cancer is a fatal and debilitating condition that has a profoundly negative impact on patients' lives. Therefore, early diagnosis of brain...
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Threshold sensitivity of the production network topology
Industries today are tightly interconnected, necessitating a systematic perspective in understanding the complexity of relations. Employing network...