Browsing by Author "Umer Farooq"

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A Machine Learning Approach for Mutation Identification in Gene Sequences to Detect Lungs Cancer
(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2022) Umer Farooq; SP19-RCS-029; LHR TP 8334; Dr. Allah Bux Sargano
Cancer is one of the leading causes of death worldwide. The mutation is one of the basic causes of cancer, which is caused by any change in the gene sequences of the human body. The abnormal and uncontrolled growth in the cells of the lungs is a cause of lung cancer. It is the second most common type of cancer worldwide, considered 11.2% of all cancers. According to the cancer statistics of the United States of America (USA), about 236,740 people were diagnosed with lung cancer in the year 2021, and about 130,180 people died from lung cancer in the same year. This study aims to develop a dataset, machine learning, and deep learning-based techniques to address the above-mentioned issues. In this regard, the asia.ensembl.org website is used to extract normal gene sequences from the lung cancer dataset, while the mutated gene sequences for lung cancer are obtained from the intogen.org website. Thus, the dataset of 1588 samples consisting of 2576 mutations is developed by following the standard dataset creation method. Then, different feature extraction methods are applied to extract the discriminative features from the dataset; these features include raw moment, Hahn moment, central moment, position relative incident matrix (PRIM), reverse position relative incident matrix (RPRIM) calculation, feature vector determination, accumulative absolute position incidence vector (AAPIV), reverse accumulative absolute position incidence vector (RAAPIV). These features are then fed to the traditional machine learning (ML) algorithms such as Random Forest (RF), Logistic Regression (LR), Multi-Layer Perceptron (MLP), and an ensemble of these traditional ML algorithms. These extracted features are also fed to deep learning (DL) methods such as LSTM, GRU, Bi-LSTM, and an ensemble of these DL algorithms. An averaging technique is applied to ensemble the classification algorithms. Three validation methods are used for evaluation: self consistency testing, 10-fold cross-validation, and independent set testing. The final classification result of lung cancer is generated as accuracy, specificity, Mathew's Correlation Coefficient (MCC), sensitivity, and Cohen's Kappa. The efficacy of this study can be measured with the accuracy of 94.5% obtained from the ensemble of x machine learning models using 10-FCV and with the accuracy of 97.3% obtained from the ensemble of deep learning models using the independent set test.
AN Textile Mills ltd.
(Library Information Services, CUI Lahore, 2023) SP20-BAF-032; Umer Farooq; Mr. Haroon Rashid
This summer was a great opportunity for me and my colleagues to do internships and gain practical experience to strengthen our knowledge of accounting and finance. I got an opportunity to spend my internship period with AN Textiles ltd. It started on 17th July and ended by 30th August. That was a 6-week internship period, and I experienced a lot of technical and practical things in the Accounts and finance department. During my internship at AN Textile Mills Limited , I got a thorough grasp of the accounting and finance operations of a fast-paced textile manufacturing company. During my internship, I gained hands-on experience in various areas, such as bookkeeping, cash and bank management, inventory management, and sales. Through these experiences, I was able to apply my theoretical knowledge in practical situations and improve my financial operations management skills. Although time was not enough to go deep down and observe everything within the departments. The report is based on experience and opportunities I have gone through within my internship period with AN Textile Mills Ltd. Further I will discuss the related information and knowledge of other departments
The Impact of Training and Development of Employee’s Performance in Textile Industry
(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2020) Warda Khalid Khan.; SP17-BBA-119; Umer Farooq; LHR TP 6714
Training and advancementusually referred as training measure to continually help the employees or workers towards better hit in a studied manner. This can be either at the work place or at the workshops as well. This is for the most part to improve the technical skills of the employees and workers. Whereas, development implies drawing out the genuine possibilities and therefore willing to high inspiration and duty standards towards work and in order to improve your behavioral skills it is important. Now talking about the role of HRM in industries during the era of teaching and advancement is crucial. The impact of teaching and advancement on Pakistan’s recession nowbroad and the technical area inappropriate is actually evident. Firms in Pakistan are covering various of issues in training and development. If we compare ourselves with other countries like China, India, Bangladesh the Pakistan’s ranking has decreased due to the technology and structure.Accordingly, dealing with the HR play a principle part and act in the achievement and improvement of the associations. In the time of training and advancement the function of Human resource management turns out to be more critical and vital simultaneously. In the event that we explicitly talk about preparing it add to upgrading a current ability to think about the patterns in innovation and other social, social and natural changes of an association. Each industryneeds to have very much prepared and experienced individuals to perform out the activities that must be finished. Along these lines, modern management needs to create human resource management. In a quick evolving society, employee training isn't just an action that an organization must arrange if that it is to keep up a suitable and proficient workforce. Training is in this way a viable and imperative need these days. It has additionally been recognized that in each industry whether in the public or private sector, people who are discovered to be more profitable are those have an affluence involvement on their positions which they have gained throughtraining and development. It has additionally been noticed that different textile sector, workers who have not gotten appropriate training before to being allocated duty come up short on the essential certainty with which to carry out the responsibilities of the work.
The Impact of Training and Development of Employee’s Performance in Textile Industry
(Library Information Services, COMSATS University Islamabad, Lahore Campus, 2020) Warda Khalid Khan; SP17-BBA-119; LHR TP 6714; Umer Farooq
ABSTRACT This report is basically designed to have an insight into the main purpose of training and development and how it effects and influencesonemployees’ performance in textile industry.There are different objectives that should be considered the compulsory components which shouldbe sought after by representatives in training and development and recognize the connection between worker fulfillment and training and its improvement. Moreover, I also had a discussion on the generic information of training and development and employee’s attitude, behavior and how it is appealing to the representatives, and what is the worker’s attitude, measurement, dimensions and structures or forms towards the organizational performance for the attainment of goals and objectives. This project is solely based on qualitative research that had a detailed discussion on the level of data collection, sources of data and also conducted personal interviews for gathering information and collected data on training and development. Then I gave some recommendations at the end of this project. The textile industry should vary their training programs alternately to bring out a professional training system and also increase their projects and introduce new technology in their training system. Lastly, I will wind up with giving out full training and advancement plans that could help in increasing efficiency for company’s better management as well asto improve employees performance and it will also increase the company’s growth, productivity and profitibility.