• IoT based Smart Monitoring and Power Optimization of Individual Solar Panel using Wireless Sensor Network 

  MUAVIAH, HASNAIN; GHAFOOR, HAMNA ABDUL; SHAFE, IBTEHAJ; SAJJAD, REMEESHA (Computer Science COMSATS University Islamabad Lahore Campus, 2024-01-01)

  Currently in most of the large-scale solar power production systems, only aggregated power of solar panels is acquired and monitored. There is a need to individually monitor each solar panel to optimize its efficiency. ...
• Automatic Screening of Diabetic Retinopathy at Early Stage using Colored Fundus Images 

  Ashraf, Muhammad Nadeem (Computer Science Department COMSATS University Islamabad Lahore Campus, 2024-01-01)

  The research work in this thesis is about an automated diagnosis of diabetic retinopathy (DR) for screening of DR patients at an early stage by classifying both red lesions using color fundus images, through a deep ...
• PakqueKid 

  Rafique, Muzamil; Shahbaz, Arisha; Safi, Waqar (CS COMSATS University Islamabad Lahore Campus, 2024-01-01)

  The text-based study makes children bore within minutes of their reading. Lack of vocabulary related to the reading topic also prevents children from understanding the purpose of reading and they lose interest. According ...
• Thread-Based Health Portal 

  Awais, Saad; Javaid, Huzaifa; Nadir, Affan (2024-01-01)

  It is a web-based app which allows users to register either as a doctor or a patient. Patients can then open threads in which they explain the problem they are facing along with their case history. A doctor from ...
• Multi-label Financial Text Classification: Corpus and Methods 

  Khalid, Laraib (Comsats CUI Lahore, 2024-04-17)

  Multi-label financial text classification is evolving but widely researched Natural Language Processing (NLP) task of the current decade. In the recent past, several research efforts have been reported for financial text ...
• Automatic Classification of Retinal OCT Images Using Deep Learing Techniques 

  Fiaz, Muhammad (Comsats CUI Lahore, 2024-04-17)

  Automatic Classification of Retinal OCT Images Using Deep Learing Techniques
• Performance Analysis of Machine Learning Algorithms for Security and Privacy Vulnerabilities in IoT 

  Sarwar, Muhammad (Comsats CUI Lahore, 2024-04-16)

  The rapid growth of the Internet of Things (IoT) has brought forth numerous security and privacy challenges. In this MS thesis, we propose a comprehensive research study on the performance analysis of machine learning ...
• Cross-genre Multi-label Emotion Classification on Mono-lingual and Code-mixed Texts 

  Mahmood, Ahmad (Comsats CUI Lahore, 2024-04-15)

  This research focuses on Emotion Classification (EC) in textual data and explores the problem of Cross-genre Multi-Label Emotion Classification (CGMLEC). EC involves detecting the emotional attitude conveyed by text, while ...
• Investigating Cyclic Translation for Urdu Text Reuse Detection using Deep and Transfer Learning Methods 

  Arslan, Muhammad (Comsats CUI Lahore, 2024-04-15)

  This research study addresses the complex problem of generating text reuse corpora using Machine Translation (MT), effectively detecting text reuse in paraphrased text through a cyclic translation approach and investigating ...
• City Scale Multi Camera Vehicle Re-Identification 

  Ul Abidin, Zain (Computer Science COMSATS University Islamabad Lahore Campus, 2024-01-19)

  Vehicle re-identification (Re-ID) is a difficult computer vision task that requires matching and tracking cars across many cameras with no overlapping views. Its applications in traffic monitoring, law enforcement, and ...
• Text Reuse Detection for the Urdu Language at Lexical Level 

  Noreen, Ayesha (COMSATS University Islamabad Lahore Campus, 2024-02-19)

  Text reuse is a process of creating new text(s) from pre-existing text(s). In recent years, Urdu Text Reuse Detection (UTRD) has gained the attention of researchers because the text is readily available in digital format ...
• Classification of MGMT Promoter Methylation Status in Brain Tumor MR Images using Deep Learning 

  Sohaib Iqbal, Muhammad (COMSATS University Islamabad Lahore Campus, 2024-02-19)

  Glioblastoma is the most dangerous brain tumor type (worst prognosis), having the least survival rate of less than a year. O6-methylguanine-DNA- methyltransferase (MGMT) promoter status “methylation” adds a favorable prognosis ...
• An Automated Diabetic Retinopathy Grading Pipeline based on Deep Learning Approaches 

  ZAHID AHMAD, MUHAMMAD (Physics COMSATS University Islamabad Lahore Campus, 2024-02-16)

  Early detection is essential for efficient disease treatment and prevention since diabetic retinopathy (DR) is one of the main causes of blindness in the globe. This thesis addresses the value of early detection during the ...
• An Automated Diabetic Retinopathy Grading Pipeline based on Deep Learning Approaches 

  AHMAD, MUHAMMAD ZAHID (COMSATS University Islamabad Lahore Campus, 2024-02-16)

  Early detection is essential for efficient disease treatment and prevention since diabetic retinopathy (DR) is one of the main causes of blindness in the globe. This thesis addresses the value of early detection during the ...
• A POI Clustered Users Recommendation Method in LBSNs Considering the Weather Forecast 

  Shahzad, Khurram (Comsats University, 2024-01-09)

  The Location-Based Social Network (LBSN) is one type of social web platform that allows users to register when they visit certain Points of Interest (POIs). The practice of recommending points of interest (POI) has become ...
• A Digital Twin based Approach for Healthier Smart City Environment 

  Naveed, Khazina (Comsats University, 2024-01-09)

  Air quality, toxic substances, climate change, pollution, and occupational hazards are the environmental factors that have a great impact on human and environmental health. The presence of pollutants and contaminants in ...
• i Survival Prediction of Glioma Patients Based on Radiomic Features 

  Naeem, Talha (Comsats University, 2024-01-09)

  Our brain is the most important part of our body that controls and commands all the functions. It Takes information from different organs of the body and five main senses and then commands the tissues to perform specific ...
• Contextual Hate Speech over Social Media using Machine Learning and Deep Learning 

  Rasheed, Tayyab (Comsats University, 2024-01-09)

  With the growing use of social media, information is also increasing dramatically. Because of this growing web material, the disruptions and problems are also increasing. One of the major problems is hate speech, which ...
• City Scale Multi Camera Vehicle Tracking Using Deep Learning 

  Khan, Muhammad Sameed (2024-01-09)

  6 ABSTRACT Intelligent city and traffic management depend on city-scale multi-camera vehicle tracking; however, this work has various difficulties. On the different viewing angles, problems arise that include the ...
• GameMania 

  Fabiha Anjum (Dept. of CS CUI,L, 2023-08-23)

  Gaming can play an essential role in our lives. People spend their leisure time playing games on different platforms and linked with technology during their daily life. Several platforms entail online games, and gaming ...

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