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N-Grade deals with the maintenance of university, department, faculty, student information within the university. N-Grade is an automation system, which is used to store the department, faculty, student, courses and information of a university. Starting from registration of a new student in the university, it maintains all the details regarding the attendance and marks of the students. The project deals with retrieval of information through an INTRANET based campus wide portal. It collects related information from all the departments of an organization and maintains files, which are used to generate reports in various forms to measure individual and overall performance of the students.

University management System project report..pdf

Kamal Acharya

LIST OF EXPERIMENTS: 1. Implement simple vector addition in Tensor Flow. 2. Implement a regression model in Keras. 3. Implement a perception in TensorFlow/Keras Environment. 4. Implement a Feed Forward Network in TensorFlow/Keras. 5. Implement an image classifier using CNN in TensorFlow/Keras. 6. Improve the deep Learning model by fine tuning hyper parameters. 7. Implement a Transfer Learning concept in image classification. 8. Using a pre trained model on Keras for transfer learning. 9. Perform Sentimental Analysis using RNN. 10. Implement an LSTM based Auto encoding inTensorflow/Keras. 11. Image generation using GAN. ADDITIONAL EXPERIMENTS 12. Train a deep Learning model to classify a given image using pre trained model. 13. Recommendation system from sales data using Deep Learning. 14. Implement Object detection using CNN. 15. Implement any simple Reinforcement Algorithm for an NLP problem.

CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record

Asst.prof M.Gokilavani

UNIT-III FMM. DIMENSIONAL ANALYSIS

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UNIT - IV - Air Compressors and its Performance

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Result Management System Report for College Project The Result Management System is a crucial tool for educational institutions to efficiently manage and publish student results online. This project was developed as part of the 6th semester project for Pokhara University, with the aim of providing a user-friendly platform for students, faculty, and administrators to access and manage academic results. The system allows for easy input of student grades, calculation of final results, and generation of result reports. It also provides secure access to results for students through a login system, ensuring data privacy and confidentiality. To improve and increase the effectiveness of the Result Management System, several enhancements can be implemented. These include: 1. Integration of automated result processing algorithms to reduce manual data entry and calculation errors. 2. Implementation of a notification system to alert students and faculty when results are published or updated. 3. Addition of features such as result analysis tools, graphical representations of student performance, and trend analysis. 4. Enhancing the user interface to make it more intuitive and user-friendly for all stakeholders. 5. Incorporating a feedback mechanism to gather suggestions and improve the system based on user input. By incorporating these enhancements, the Result Management System can become a more robust and efficient tool for managing academic results online, benefiting both students and faculty alike.

result management system report for college project

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Structural Analysis and Design of Foundations: A Comprehensive Handbook for Students and Professionals. Unlock the potential of foundation design with Dr. Costas Sachpazis’s enlightening handbook, a meticulously crafted guide poised to become an indispensable resource for both budding and seasoned civil engineers. This comprehensive manual illuminates the theoretical and practical aspects of structural analysis and design across various types of foundations and retaining walls. Within these pages, Dr. Sachpazis distills complex engineering principles into digestible, step-by-step processes, enhanced by detailed diagrams, case studies, and real-world examples that bridge the gap between academic study and professional application. From soil mechanics and load calculations to innovative design techniques and sustainability considerations, this book covers a vast landscape of structural engineering. Key Features: • In-Depth Analysis and Design: Explore thorough explanations of both shallow and deep foundation designs, supported by case studies that demonstrate their practical implementations. • Practical Guides: Benefit from detailed guides on site investigation, bearing capacity calculations, and settlement analysis, ensuring designs are both robust and reliable. • Innovative Techniques: Discover the latest advancements in foundation technology and retaining wall design, preparing you for future trends in civil engineering. • Educational Tools: Utilize this handbook as an educational tool, perfect for both classroom learning and professional development. Whether you're a student eager to learn the fundamentals or a professional seeking to deepen your expertise, Dr. Sachpazis’s handbook is designed to support and inspire excellence in the field of structural engineering. Embrace this opportunity to enhance your skills and contribute to building safer, more efficient structures.

Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...

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Intze Overhead Water Tank Design by Working Stress - IS Method.pdf

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Unit 1 - Soil Classification and Compaction.pdf

RagavanV2

UNIT-II FMM-Flow Through Circular Conduits

rknatarajan

Welcome to the April edition of WIPAC Monthly, the magazine brought to you by Water Industry Process Automation & Control. In this month's edition, along with the latest news from the industry we have articles on: The use of artificial intelligence and self-service platforms to improve water sustainability A feature article on measuring wastewater spills An article on the National Underground Asset Register Have a good month, Oliver

Water Industry Process Automation & Control Monthly - April 2024

Water Industry Process Automation & Control

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University management System project report..pdf

CCS335 _ Neural Networks and Deep Learning Laboratory_Lab Complete Record

UNIT-III FMM. DIMENSIONAL ANALYSIS

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UNIT - IV - Air Compressors and its Performance

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Intze Overhead Water Tank Design by Working Stress - IS Method.pdf

data_management_and _data_science_cheat_sheet.pdf

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Unit 1 - Soil Classification and Compaction.pdf

UNIT-II FMM-Flow Through Circular Conduits

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