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The Educational Administration: Theory and Practice publishes prominent empirical and conceptual articles focused on timely and critical leadership and policy issues of educational organizations. The journal embraces traditional and emergent research paradigms, methods, and issues. The journal particularly promotes the publication of rigorous and relevant scholarly work that enhances linkages among and utility for educational policy, practice, and research arenas. The goal of the editorial team and the journal’s editorial board is to promote sound scholarship and a clear and continuing dialogue among scholars and practitioners from a broad spectrum of education. Educational Administration: Theory and Practice presents prominent empirical and conceptual articles focused on timely and critical leadership and policy issues facing educational organizations. As an editorial team, we embrace traditional and emergent theoretical frameworks, research methods, and topics. We particularly promote the publication of rigorous and relevant scholarly work with utility for educational policy, practice, and research. The journal’s primary focus is on studies of educational leadership, organizations, leadership development, and policy as they relate to elementary and secondary levels of education. Examinations of leadership and policy that fall outside K-12 are considered insofar as there are meaningful connections to the K-12 arena (e.g., college pipeline). International comparative investigations are welcome to the extent they have implications for a broad audience.s.

Call for Papers - Educational Administration: Theory and Practice, E-ISSN: 21...

Christo Ananth

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

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African Journal of Biological Sciences is an International peer-reviewed, Open Access journal that publishes original research articles as well as review articles in all areas of Biological Sciences. It operates a fully open access publishing model which allows open global access to its published content. This model is supported through Article Processing Charges. For more information on Article Processing charges click here. Its scope embraces Animal Sciences, Biochemistry, Bioinformatics, Biotechnology, Botany, Cell Biology, Developmental Biology, Ecology, Environmental Sciences, Ethno Medicine, Food Science, Freshwater Biology, Genetics, Immunology, Marine Biology, Microbiology, Molecular Biology, Physiology, Plant Sciences, Structural Biology,Toxicology,Zoology etc. It is essential that authors prepare their manuscripts according to established specifications. Failure to follow them may result in papers being delayed or rejected. Therefore, contributors are strongly encouraged to read the author guidelines carefully before preparing a manuscript for submission. The manuscripts should be checked carefully for grammatical, punctuation errors. All papers are subjected to peer review. All articles published in this journal represent the opinion of the authors and not reflect the official policy of the Journal of African Journal of Biological Sciences

Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...

Christo Ananth

data_management_and _data_science_cheat_sheet.pdf

JiananWang21

Online banking management system project.pdf

Kamal Acharya

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Suman Jyoti

Vivazz, Mieres Social Housing Design Spain

timesproduction05

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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KubeKraft presentation @CloudNativeHooghly

sanyuktamishra911

Thermal Engineering-R & A / C - unit - V

DineshKumar4165

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

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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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UNIT-V FMM.HYDRAULIC TURBINE - Construction and working

rknatarajan

UNIT-III FMM. DIMENSIONAL ANALYSIS

rknatarajan

GAS POWER CYCLES Cycles: Otto, Diesel, Dual, Brayton - Calculation of mean effective pressure - Air standard efficiency - Comparison of cycles INTERNAL COMBUSTION ENGINES Classification - Components and their function - valve timing diagram and port timing diagram - actual and theoretical p-v diagram of two stroke and four stroke engines – carburettor - diesel pump and injector system - battery and magneto ignition system - principles of combustion and detonation in CI engines - lubrication and cooling systems - performance parameters and calculations.

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DineshKumar4165

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Online banking management system project.pdf

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

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Thermal Engineering Unit - I & II . ppt

Pt amir hajar kilsi -laubscher-planning-mass-mining-operations

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