Computer-Based Fuzzy Logic for Forecasting the Population Census of Edo State, Nigeria
Automated Short Answer Grading using Long Short-Term Memory Optimized with Particle Swarm Optimization
Forensics: Cybercrime Investigation Analysis in Social Networks
Enhancing Donor Acquisition and Retention in Blood Banks via AI-Powered Decision Support Framework
Artificial Intelligence in Media: Perspectives and Implications
Influence of Digital Transformation and Artificial Intelligence in Business
Artificial Intelligence in Investment Management, Asset Management and Warehouse Management
A Study on Employee Perception towards Digital Marketing Services
A Study on Spending Patterns in the Digital Era with Special Reference to Tamilnadu
Video Analytics for Optimizing Bank Services
A Comparative Analysis for Identifying the Polarity of People Based on Emotional Pulse in a Smart City
Video Analytics for Optimizing Bank Services
Forensics: Cybercrime Investigation Analysis in Social Networks
Automated Short Answer Grading using Long Short-Term Memory Optimized with Particle Swarm Optimization
Enhancing Donor Acquisition and Retention in Blood Banks via AI-Powered Decision Support Framework
The use of Closed-Circuit Television (CCTV) footage for surveillance, demographic monitoring, and behavior analysis has increased dramatically in the recent years. One of the key challenges in analyzing such recordings is to count people and identify emotions efficiently and accurately. This paper proposed a system for counting people and identifying facial expressions of emotion in CCTV footage. It used Deep Neural Networks (DNN) trained on massive annotation datasets to recognize people in videos, extract facial images, and identify emotions. It evaluated the performance of the method on publicly available datasets and compares it with state-of-the-art techniques. The findings demonstrate the ability of the method to accurately count people and identify their emotions.
Over the past decade, the field of industrial informatics has extensively studied smart-city applications. This paper proposes a method for identifying the polarity of people based on the emotional pulse of a city by using publicly available, large-scale social media interactions that capture individuals' ideas and beliefs. The effectiveness of the framework was assessed and controversial ideas and unpleasant arguments in the public sphere were tracked. The level of hostility was measured through online discussions using a Deep Learning (DL)-based classifier. Natural Language Processing (NLP) and Markov models have been used to characterize the mood of the general populace. The results and applications of Artificial Intelligence (AI) to identify citizens' emotional pulses could enhance security, communication, and policymaking.
Artificial Intelligence is an integral component that drives digital transformation, which involves leveraging digital technologies to reshape business operations, processes, and customer experience. AI-powered automation tools can help businesses streamline processes, reduce costs, and improve their efficiency. This paper discusses the influence of digital transformation and artificial intelligence in business in terms of efficiency, productivity, and customer satisfaction. It also highlights the challenges that businesses face when there is digital transformation for change management and the risk of disruption. Digital transformation is a complex and challenging process, but it can be a valuable tool for businesses that want to remain competitive in the digital age.
This study focuses on investigating the effectiveness of new strategies in digital marketing, specifically at Technopundits Knowledge Solutions Private Limited. The success of digital marketing relies on a comprehensive strategy built upon seven core capabilities: strategic approach, performance improvement process, management buy-in, resourcing and structure, data and infrastructure, integrated customer communication, and customer experience. The research is confined to Technopundits employees, aiming to gauge their perceptions of the company's services and examine their impact on firm sales. To achieve these objectives, various statistical tools and techniques were used to analyze the collected data. Insights from this research have the potential to help Technopundits and similar companies to refine their digital marketing strategies, enhance their online presence, and meet customer expectations in an ever-evolving digital landscape. By understanding employee perceptions, this study aims to provide valuable guidance for leveraging digital marketing's full potential, to achieve greater success and competitiveness in the market. It is important to note that the scope of this research is limited to Technopundits and may not be directly applicable to other digital marketing services or industries.
This study highlights the impact of digital payments on spending patterns and financial behavior. A structured questionnaire was used to collect data from 200 participants. The results indicate that income, age, family status, and occupation played a significant role in financial behavior and priorities. The data also revealed that many respondents faced various financial challenges, such as insufficient money, debt payments, education expenses, healthcare costs, and meeting expenses. Digital payments and financial planning have been identified as potential solutions for managing these challenges and achieving financial goals. Financial awareness and education are needed, particularly for younger individuals, to improve their financial decision-making skills, investments, and stability.
Artificial Intelligence (AI) has revolutionized diverse industries, including investment, asset, and warehouse management. In this analysis, the exploration of the applications and benefits of AI in each domain highlights how it enhances decision-making and optimizes operations efficiently. AI analyzes extensive financial data to make informed investment decisions, create personalized portfolios, and predict market trends in investment management. Asset Management leverages AI's predictive capabilities to monitor asset performance, assess risks, and optimize asset allocation strategies. AI tools can continuously monitor the environment and activities of a warehouse. This study explains AI and its impact on investment, asset, and warehouse management. The impact of AI is undeniable, and creates opportunities for better performance, reduced costs, and enhanced customer satisfaction.
