Browsing by Author "Ali Awais"

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    Automic Paraphras Generation for Urdu Language
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2025) Ali Awais; CIIT/CIIT/SP23-RCS-004/LHR; Dr. Muhammad Sharjeel; LHR TP 9994
    Automatic paraphrase generation is an important task in Natural Language Processing (NLP) that focuses on producing alternative sentences with the same meaning as the original text. This study aims to develop an automatic paraphrase generation system specifically for the Urdu language. Due to the limited availability of linguistic resources and computational tools for Urdu, generating accurate paraphrases remains a challenging problem. The research explores different NLP and machine learning techniques to generate meaningful paraphrases while preserving the original context and semantics. A dataset of Urdu sentences is used to train and evaluate the proposed model. Various approaches such as rule-based methods, statistical techniques, and deep learning models are analyzed to improve paraphrasing quality. The results demonstrate that the proposed system can effectively generate alternative Urdu sentences while maintaining the original meaning. This study contributes to the advancement of Urdu language processing and can support applications such as text summarization, question answering, machine translation, and plagiarism detection.
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    CULTURAL RECONSTRUCTION THROUGH GRAPHIC DESIGN
    (Library Information Services, COMSATS University Islamabad, Lahore Campus, 2021) Ali Awais; FA17-BDE-029; LHR TP 7094; Hira Nadeem
    This research investigates the relationship between culture and graphic design in the photographs of cultural festivals. The study is focused on research in the fields of history, cultural identity, cultural variable theory, visual communication, and the cultural contexts of the cultural festival images. The secondary purpose of this research is to promote the local crafts of the Pakistan that will help the individuals economically. Even in the website different traditional crafts were shown that attracted The tourists. The festival website contains festival's logo and all of the elements necessary for purchasing crafts, animated posters, print posters, and collector products such as T-shirts and mugs, among other things. The cultural festival visuals reveal that graphic design does reflect thoroughly culture. The representation of the graphic images is different, according to cultural variable theory, and cultures influence design as a communication medium. The data was collected by two methods. The First one an online survey was created and second was a live survey. Participants were youth and tourists that were interested in the Pakistan’s cultural festivity. The data was analyzed using Spss or excel. The results indicate that there is a connection between culture, cultural festivals and graphic design and that culture and graphic design are linked by visual elements. The application of this research may aid the audience in better understanding the academic representation of the pictures of the cultural festival by digital promoting, especially for those who are unfamiliar with the cultures.
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    To Optimize Selection of Charging Types for Electric Buses
    (Library Information Services COMSATS University Lahore Campus, 2024-03-17) Ali Awais; SP23-RMT-003; Dr. Sarfraz Ahmad; LHR TP 9570
    Outranking techniques are a class of decision-making methods that excel in providing well suited solutions based on the pairwise comparison of alternatives across multiple criteria. These methods are particularly useful in complex decision-making scenarios where exper imental data is limited, information is imprecise, and human evaluations are subjective. In real-world applications, decisions often involve uncertainty and ambiguity, which tradi tional decision-making models struggle to handle. To address these challenges, spherical fuzzy sets have emerged as a powerful tool, offering a richer structure to capture the full spectrum of human opinions, including satisfaction, dissatisfaction, neutrality, and absti nence. This research presents a series of outranking methodologies within the spherical fuzzy model to address multi-criteria group decision-making (MCGDM) problems more effec tively. Specifically, two significant variants of the PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) family—Spherical Fuzzy PROMETHEE I and Spherical Fuzzy PROMETHEE II—are proposed and applied to the selection of an optimal charging type for electric buses. The PROMETHEE methods, enhanced by spher ical fuzzy sets, are particularly well-suited for dealing with uncertainty and imprecision in human judgments. The case study focuses on the charging infrastructure for electric buses, a critical aspect of the growing adoption of electric transportation. Different charging alternatives are eval uated based on multiple criteria, including cost-effectiveness, charging time, energy ef ficiency, and scalability of infrastructure. By using spherical fuzzy numbers, this study captures the imprecision and subjective nature of expert evaluations, providing a more ro bust and flexible decision-making framework. The results demonstrate how the Spherical Fuzzy PROMETHEE methods can effectively rank alternatives, helping decision-makers identify the most suitable charging type under uncertain and ambiguous conditions. This research contributes to the field of multi-criteria decision-making by introducing spher ical fuzzy PROMETHEE methods as an effective tool for addressing real-world decision problems where human judgment and imprecision play a significant role. The findings ix have important implications for both the electric transportation sector and broader appli cations in energy management, supply chain optimization, and other domains requiring robust decision support systems