A Study on Algorithms For Intelligent Computing And Smart City Applications
…including traffic management, energy optimization, public safety, and human-centric analytics. Various machine learning techniques, such as supervised and unsupervised learning, as well as deep learning, are explored for their applications in tasks like…
Performance Evaluation of Player Performance Prediction Models Using Data Mining Techniques
…the performance evaluation of player performance prediction models using various data mining techniques, focusing on the application of machine learning algorithms to predict individual and team performance in sports. The study compares the effectiveness…
Future Prospects of AI driven Human Resources Management
Rajagopalan, S.; Shiddharthy, R.
…organizations attract, retain, and manage talent. AI-driven HRM leverages advanced analytics, machine learning, and automation to enhance decision-making, streamline recruitment, improve employee engagement, and foster data-driven workforce planning.…
Sustainable Urban Development and Smart Cities
…Smart cities leverage Internet of Things (IoT), artificial intelligence (AI), big data, and renewable energy systems to optimize urban functions like mobility, energy use, and waste management. Sustainable urban development prioritizes reducing carbon…
Optimizing Performance Evaluation of Badminton Players Using Proximal Policy Optimization (PPO) Algorithm
…learning (RL) algorithm—to automate and enhance player performance analysis through data-driven decision-making. By integrating multi-modal inputs (computer vision for shuttle tracking, feedback from players and match statistics), the system trains PPO…
AI ana the Changing role of Teachers in Higher Education
…as generative AI, intelligent tutoring systems, automated assessment tools, learning analytics, and adaptive learning platforms provide teachers with new opportunities to improve educational quality and student engagement. At the same time, the growing use…
Strategic Trends Defining the Future of Social Media and Influencer Marketing Thought-Leadership Style
…ecosystems. The rapid progress in digital platforms, artificial intelligence, and data analytics—along with changing consumer expectations regarding authenticity, privacy, and alignment of values—are reshaping the creation and maintenance of influence.…
AI ana the Changing role of Teachers in Higher Education
…as generative AI, intelligent tutoring systems, automated assessment tools, learning analytics, and adaptive learning platforms provide teachers with new opportunities to improve educational quality and student engagement. At the same time, the growing use…
Prospects of Artificial Intelligence (AI) and Personalized Learning in Inclusive Education Integrated to the National Education Policy (NEP) – 2020
…management, and teacher support through tools like adaptive platforms, chatbots, and data analytics, aiming for a learner-centric, inclusive, and future-ready system, with initiatives like the "AI for All" course promoting basic understanding among citizens.…
Artificial Intelligence and the National Education Policy (NEP) 2020: A Qualitative Exploration of Integration, Opportunities, and Challenges
…such as intelligent tutoring systems, adaptive learning platforms, and predictive analytics are reshaping teaching and learning into more personalized, data-driven processes. In the Indian context, the National Education Policy (NEP) 2020 envisions…
A Study on Awareness Towards Artificial Intelligence (AI) Among College Students in Pollachi Taluk
…to dedicate more time to instruction and student engagement. Additionally, AI-driven data analytics can identify patterns in student performance, helping educators intervene early and offer targeted support to those who need it most.
Application of Computing Technologies in the Re-Exploration of Indian Knowledge System for Enhancing Educational Quality
Rajagopalan, S.; Shiddharthy, R.
…educational quality. Technologies such as digitization, artificial intelligence, data analytics, virtual reality, and online learning platforms are examined as tools that bridge traditional knowledge with modern educational practices. The study further…
AI-Enabled Transformation of Employee Engagement Strategies for Sustainable Marketing Performance
…The following examples of AI applications have been included: predictive analytics, sentiment analysis, intelligent automation, chatbots and personalized learning platforms. AI technology can enhance employee experience, provide real-time…
AI-Enabled Personalization for Inclusive and Lifelong Learning
…learning. Using adaptive learning systems, intelligent tutoring, and learning analytics, AI customizes content, pace, and assessment to enhance learner engagement and outcomes. It supports equitable access to education and continuous skill development…
Emerging Technologies in Education and Digital Learning Platforms
…(AI), Machine Learning (ML), Virtual Reality (VR), Augmented Reality (AR), Big Data Analytics, Cloud Computing, Internet of Things (IoT), and Blockchain are playing a crucial role in modern education. Digital learning platforms like Learning Management…
Real-Time IoT Monitoring in Coconut Farms Using Blynk With Weather Insights
…temperature, humidity, and light intensity. A NodeMCU microcontroller processes the data and transmits it via Wi-Fi to the Blynk platform, enabling farmers to remotely monitor and control irrigation systems through their smartphones. Additionally, weather…
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