Volume-10, Issue-3

May-June, 2024

Research Paper

1. Hybrid Approach Involving Deep Learning Techniques for Recognition Facial Emotions Efficiently

Facial emotion recognition holds paramount importance in various human-centric applications, particularly in human-computer interaction (HCI) systems. This paper delves into the realm of machine vision and artificial intelligence (AI) to explore the methodologies and advancements in facial emotion identification. Leveraging computer vision technologies, coupled with AI algorithms, the research focuses on the recognition of human emotions through facial expressions. In human communication, facial expressions serve as a vital channel for conveying emotional states, playing a significant role in interpersonal understanding. Understanding emotions expressed through facial cues aids in effective decision-making and tailored interactions in human-machine interfaces. Emphasizing the relevance of non-verbal communication, this study investigates the significance of facial expressions in conveying emotional nuances. Deep learning techniques, particularly convolutional neural networks (CNNs), have revolutionized facial emotion recognition by enabling end-to-end learning from raw image data. By minimizing reliance on handcrafted features and pre-processing techniques, CNN-based approaches demonstrate superior performance in emotion detection and classification. Researchers have made substantial strides in developing intricate neural network architectures to enhance the accuracy and efficiency of facial emotion recognition systems. Through a comprehensive review of existing literature and methodologies, this research contributes to the ongoing discourse surrounding facial emotion recognition. Insights gleaned from this study pave the way for the continued advancement of HCI systems, facilitating more nuanced and responsive human-machine interactions.

Published by: Nayak Himanshukumar Dinanath, Dr. Ashish SarvaiyaResearch Area: Deep Learning, Facial Expression Recognition

Organisation: Gujarat Technological University, Ahmedabad, GujaratKeywords: Deep Learning, CNN, FERC, AI and SSD

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Research Paper

2. The Impact of Artificial Intelligence on Business Growth: A Comprehensive Analysis

Business has been revolutionized by artificial intelligence (AI) as machines can do what was once assigned to the human brain. We examine the effect of AI on productivity improvement and growth in various sectors through this research paper. The document evaluates the impact of AI on optimizing operations, enhancing decision-making, and fostering innovation by arguing that it affects all these areas. For instance, Amazon has made use of AI techniques to improve its efficiency by reducing costs and increasing customer satisfaction levels. In addition to that, this essay also discusses upcoming trends where AI is expected to change a lot about business practices including its uses in politics, education, and the fashion industry. This essay brings out the many-sided advantages of using AI for growing business and maintaining competitiveness with empirical evidence and statistical insights.

Published by: Manhar ShankarResearch Area: Computer Science

Organisation: Scottish High International School, Gurugram, HaryanaKeywords: Artificial Intelligence, Business Growth, Automation, Data Analysis, Innovation

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Online paper publication is ongoing for the current issue and authors can submit their paper for this issue until Ongoing Submissions.