M.Phil / MS

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Automation Silage Feeding and Showering System of a Dairy farm Under Graduate Final Year Project Report
(comsats university islamabad lahore campus, 2020) AIZAZ UR REHMAN,HASHAM MEHMOOD,; FA15-BCE-015 FA15-BCE-008 RANA MUHAMMAD SHOAIB FA15-BCE-047; Mian Ahmed Yaser
Traditionally a dairy farm is managed on the basis of experience of the farmer. He observes the herd a couple of times a day and attends to each animal twice or thrice a day during milking. The increase in average farm size leaves the farmers less time for individual animals. Sensor systems and methods for automatic recognition of animals requiring special care will be incorporated to assist the farmer. In this project, sensors and controllers facilitate the collaboration between the farmers, feed suppliers and dairy industries. The project focuses on an integrated approach for sensing, information sharing and alarms. Presence of an animal in particular part of the facility is identified using sensors and is recorded. The sensor information can be based on sensors attached to the individual animals or on sensors that recognize the presence of an animal. Silage will be provided to individual animal in an organized manner automatically through conveyor belt and the remaining silage will be flushed through conveyor as well.
STUDENT PERFORMANCE PREDICTION SYSTEM FINAL YEAR PROJECT REPORT
(Library Information Services, CUI Lahore, 2023) Hammad Shahzad; FA18-BSE- 054; Dr. Touseef Tahir
Machine learning uses hidden relationships and patterns of data for predicting future trends. Companies use data mining to turn raw data into meaningful information by discovering underlying patterns of data. By using software to look for patterns in large batches of data, organizations and different universities can learn more about their stakeholders and specifically for the students to develop better study strategies, greater results, and lower failure rates. Over the last decade, improvements in processing power and speed have enabled us to automate traditional, time- consuming data analysis. The more complex the data sets collected; the more insights can be gained. We aim to build a data-driven website that uses data mining and machine learning techniques to predict student’s performances according to their historic data. We will first identify student attributes that can be used to predict their performance through analysing available research work. Later, we will collect the data about students’ attributes through a data collection form. The data will be processed by using state of the art data mining methods and by training regression and classification machine learning models. The best performing machine learning model will be used in the website to predict student performance. The website will also enable its users to recommend resources (e.g., books, tutorials, and research papers) based on their experiences while studying a course. It will also enable students to offer their services for understanding a topic or problem in a course
CS43_Policy Driven Chatbot
(Library Information Services, CUI Lahore, 2021) Faizan Ahmad; LHR TP 7511; FA17- BCS-066; Dr. Wajahat Mehmood Qazi
Our daily life is changing with the change in technology and innovation. Today we are living in a competitive world where everyone requires information which can be fetched quickly within no time, and which can be trusted. This can be very hectic as every person is living a life with tightened up routine. This gave growth to many technologies like Siri, Alexa and Google AI Assistant which fetches information for you as quickly as possible so that you do not have to waste time in surfing the web looking for few simple things. But what if you need to know a simple question from your personal files which are filled with a lot of data? You know that you are going to encounter this question within few minutes, and you do not have enough time to skim through your files? Sometimes we also need to retrieve information from many files and then relate them for different reasons or relate that retrieved information with the information we already have. The proposed project is a first step to achieve the bigger goal. This project will process the given text and will create a semantic network of that text. Knowledge base will already be available and if any new entity is detected, it will add it to the knowledge base so that next time relations can be created accordingly. This project aims to create a semantic network so that different sentences with same meaning or context could be understand just like humans. Conceptual graphs are created to understand the semantic network or to extract a query from the created semantic network. A user-friendly application is available so that each user can login and create a semantic network of its own. In this way, different users creating knowledge base will increase the accuracy of the semantic networ

M.Phil / MS

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