Challenges and Opportunities in Implementing Naan Mudhalvan Employability Enhancement Schemes in Arts and Science Colleges in Tamil Nadu-An Empirical Study
The Naan Mudhalvan (I am the first) scheme is an ambitious program launched by the Government of Tamil Nadu in 2022 to provide internships, training, and mentorship opportunities to college students to enhance their employability and entrepreneurial skills.…
Challenges and Opportunities in Implementing Employability Enhancement Schemes in Arts and Science Colleges in Tamil Nadu – An Empirical Study
The Naan Mudhalvan (I am the first) scheme is an ambitious program launched by the Government of Tamil Nadu in 2022 to provide internships, training, and mentorship opportunities to college students to enhance their employability and entrepreneurial skills.…
Prediction and Classification of Textural Properties on Fruits During Ripening Using Convolutional Neural Network
Rathamani, M.; Kanjana Devi, P.
Non-destructive quality detection and automatic grading are significant in fruit industry. The customary way separates fruits into four level ripening stages dependent on color. The assurance of the ripeness condition of fruits is a fundamental component in…
Image Segmentation K-Means Clustering Algorithm for Fruit Disease Detection Image Processing
Rathamani, M.; Kanjana Devi, P.
Fruit diseases are always considered as a remarkable issue in the cultivating business carried out across the globe. This arises the need for manual checking framework. In this way, agriculturists require the manual analysis of fruits. Nevertheless, the…
Fruit Grade Verification Using Image Processing Techniques
Rathamani, M.; Kanjana Devi, P.
Most of the Indian population depend on agriculture. GDP contribution is high by agricultural sector when compared to the other sectors. The agricultural products serve the purpose of economic contribution. The products that are produced by farmers are in…
Enhanced Back Propagation Neural Network for Fruit Disease Prediction and Classification
Rathamani, M.; Kanjana Devi, P.
Data mining assumes an essential part in the dynamic cycle in numerous application territories. Information mining is essential for data handling and the executives. Plant sicknesses bargain efficiency which impacts public activity and economy of the country.…
Data Preprocessing Using Enhanced Principal Component Analysis (EPCA) for Agricultural Datasets
Data pre-processing is considered as the core stage in core and data mining. Standardization, discretization, and dimensionality decrease are notable strategies in data pre-processing. In this paper proposed Enhanced Principal component Analysis (EPCA) the…
Crop Yield Prediction Using With the Simulated Annealing Convolutional Neural Networks (SACNNS) Optimization Algorithm
This paper introduces an innovative approach for precise crop yield prediction in Tamil Nadu, India, a region with diverse agricultural conditions. The Simulated Annealing Convolutional Neural Networks (SACNNs) optimization algorithm is employed to enhance…
Agriculture Data Feature Extraction Using Sequential Pattern Mining and Random Forest (SPM-RF) Data Mining Method
Feature extraction assumes a critical part in analyzing agricultural datasets and acquiring experiences for decision-making. In this paper we propose a methodology that consolidates Sequential Pattern Mining (SPM) and Random Forest (RF) techniques for feature…
Implementation of Different Approaches Using Enhanced Algorithms for Fruit Disease Identification
Rathamani, M.; Kanjana Devi, P.
The utilization of computers to investigate images has numerous possible applications for mechanized agricultural tasks. However, the fluctuation of the agricultural objects makes it hard to adjust the current industrial algorithms to the agricultural…
Fruit Grade Classification Using Improved Convolutional Neural Network
Rathamani, M.; Kanjana Devi, P.
Machine learning is the recent research topic which attracts the attention of researchers worldwide. Automation of fruit grading and fruit detection system lays a vital role in field of agriculture and also in the consumer end too. This can be achieved by…
Analysis of Heart Diseases Dataset Using Neural Network Approach
One of the important techniques of Data mining is Classification. Many real-world problems in various fields such as business, science, industry and medicine can be solved by using classification approach. Neural Networks have emerged as an important tool for…
The Impact of Blended Learning on Academic Performance of Students
The advent of new technologies has impacted the learning process among students in higher education. The new technologies have been embraced by students and led to the growth and popularity of learning using the internet. Nowadays, many Colleges and Higher…
A Study on Algorithms For Intelligent Computing And Smart City Applications
The rapid urbanization and technological advancements in recent years have paved the way for the development of smart cities, aiming to enhance the quality of life, sustainability, and efficiency of urban areas. This survey provides a comprehensive overview…
Global Leadership Effectiveness in Global Teams
Globalization has revolutionized the business landscape, necessitating the formation of diverse and geographically dispersed teams known as "global teams." These teams consist of individuals from different cultural backgrounds, time zones, and languages,…
AI Powered Education in 2047: Reshaping Learning and Skill Development for India’s Future
By 2047, AI-powered education is poised to become the cornerstone of India’s strategy for a developed, inclusive, and technologically advanced society. As India aims to become a global leader in innovation and economic growth, the integration of Artificial…
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