Multimodal emotion recognition is recognizing the emotion from more than one modality like facial expression, gestures, speech, text and physiological signals. The prototypical networks is a well-known few-shot distan...
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Crowdsourcing platforms have become essential tools for managing various tasks, relying on distributed labour practices to enhance productivity and goal achievement. However, they often encounter challenges such as un...
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In today's data-driven world, striking a balance between data utility and privacy is paramount. Homomorphic encryption, a revolutionary cryptographic technique, facilitates computations on encrypted data without d...
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Air writing is a unique method that allows individuals to freely write or draw in the air without the need for sensor devices. One of the significant applications is aimed at addressing the challenges faced by dyslexi...
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Air writing is a unique method that allows individuals to freely write or draw in the air without the need for sensor devices. One of the significant applications is aimed at addressing the challenges faced by dyslexic children, who often struggle with reading, writing, and spelling. Currently, there is a lack of tailored applications to guide dyslexic children through their learning process. This paper presents a groundbreaking solution designed to assist dyslexic individuals in mastering the art of writing alphabets, digits, and words. Using various hand gestures, children can effortlessly write any character, digit, or word on a virtual canvas and memorize them easily through the hand movements. This approach not only makes learning enjoyable but also boosts a child's confidence. Additionally, the application allows children to unleash their imagination by creating doodles. While existing air writing methods have limitations, such as reliance on devices and restricting content to digits and characters within predefined boundaries. These limitations have been overcome in our proposed approach. Leveraging afordable technologies, our system caters to the needs of dyslexic learners and serves as an interactive tool to enhance their writing skills. It also provides a means of communication for the deaf and mute community. Utilizing cutting-edge technologies such as machine learning, deep learning, computer vision, and web development, we have developed a practical application that seamlessly tracks finger movements and gestures, capturing trajectories and images for classification. Our model exhibits remarkable performance, achieving a training accuracy rate of 98.57% for digit recognition, 98.80% for character recognition, and 97.09% for doodle recognition. This paper contributes valuable insights into the development of an effective and engaging tool to improve learning skills for students, particularly dyslexic children, while also addressing communication barriers
The ability to predict customer churn represents a critical component in the telecom industry's quest for enhanced customer retention and long-term viability. In this research, several standalone machine learning ...
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Facial recognition plays a crucial role in various applications, as it tackles challenges such as changes in lighting, position, and facial expressions. This study aims to explore the effectiveness of ensemble learnin...
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One of the most important tasks in combining computer vision and natural language understanding is Visual Question Answering (VQA). This paper focuses on the VQA problem in Malayalam, a language known for its unique D...
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Compiler design represents the intersection of art and science, where intricate algorithms and creative problem-solving converge to translate abstract human-readable code into machine-executable instructions. At the h...
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Fish diseases pose significant challenges to aquaculture, causing economic losses and environmental issues. Early and accurate detection is important for effective management and prevention of diseases. This study pro...
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The increasing amount of underwater visual data and deep sea research have led to the rise of marine animal identification as a major field for data processing and analysis. The need to protect the ecosystem emphasize...
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