Information Technology: Recent submissions

  • Simulation Modeling and Forecasting of Dengue Spread using Agent-based Modeling 
    Jahan, Mishal (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
    Dengue Fever a “mosquito-borne” viral disease is also known as “break bone Fever”, with the symptoms of sudden commencement of fever (for>3 days and <10 days), aches, nausea, severe joints pain, rashes, leukopenia ...
  • An HLA Based Framework for Simulation of Geographically Distributed Data Centers 
    Elahi, Bukhtawar (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
    Usually, the existing simulators provide limited scalability. Therefore, re searchers can simulate their protocols and algorithms to a certain extent. In cloud simulators such as CloudNetSim++ and CloudSim are two ...
  • Energy Efficient Data Dissemination for Large-Scale Smart Farming Using Reinforcement Learning 
    Ali, Muhammad Yasir (School of Electrical Engineering and computer Science (SEECS), NUST, 2021)
    Smart farming is essential to increase the crop production for which IOT in agricultural parameters is crucial for the growth of crops. To achieve this, modern technology is required to enable accuracy in fertilizing, ...
  • Optimized Communication Model for IoT Network Using LoRaWan 
    Yamin, Kamran (School of Electrical Engineering and computer Science (SEECS), NUST, 2021)
    In today’s world concept of internet of things is emerging rapidly and high demand of IOT requires a communication standard that can provide lower power consumption, long coverage area and scalability. Some of the ...
  • Modeling and Simulation of Urban Water Resources in NUST using WEAP Framework 
    Saleem, Arfa (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
    Increased usage and non-efficient management of limited resources has created the risk of facing resource scarcity. Water, the most essential element for survival of life, is on the disastrous verge of scarcity. Due ...
  • Optimizing Cryptocurrencies for Profit 
    Rashid, Shehreyar (School of Electrical Engineering and computer Science (SEECS), NUST, 2018)
    There is a considerable body of research exploring the dynamics of the mining process for Bitcoin, the mining ecosystem, and the inherent risks of concentrating network computing power in the hands of just a few miners. ...
  • Modeling and Optimization of V/UHF RF Propagation in Maritime Environment 
    Siddiqui, Ali Waqas (School of Electrical Engineering and computer Science (SEECS), NUST, 2019)
    Very/Ultra High Frequency communication uses electromagnetic radio waves of frequency range, 30 MHz – 3.0 GHz (wavelength from 10m -1 mm) for voice/data communication and active/passive sensors. The electromagnetic ...
  • An AI-Aided Cardiovascular Care Unit for the Classification of Arrhythmias and Cardiac Maladies 
    Umar, Umara (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)
    Pakistan, like many developing countries, faces several challenges in providing standard health care facilities, particularly in less privileged and least developed areas. Cardiovascular diseases (CVDs) are a leading ...
  • Mist computing Framework for Delay Sensitive Medical Applications 
    Khan, Asfandyar (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Cloud Computing made possible to manage large storage, thereby providing improved processing by utilizing virtual processors. As technology is progressing, researchers and industries are coming together to built smart ...
  • Credibility of images using textual techniques for Social Media Platforms 
    Naveed, Yahya (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    Finding credible information is of paramount importance in the digital-age where massive flow of information is perceived by every internet user. Information shared on social media got potential to manipulate the thoughts ...
  • Corroborating Information from Disagreeing Views Using Machine Learning Techniques 
    Riaz, Tayyeba (School of Electrical Engineering and Computer Science NUST SEECS, 2022)
    In this era of big data, huge amount of heterogeneous data is produced and shared on the internet making it a central medium for valuable sources of information. This data on the web can be published without quality ...
  • Automatic Text Detection in Images using Google Cloud Vision API 
    Samad, Sumbal (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
  • Natural Language Modeling for Sentence Generation through Deep Learning 
    Bashir, Sarmad (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    With the advancement in technology and establishment of Recurrent Neural Networks (RNN), various Natural Language Generation (NLG) tasks have achieved tremendous success, such as image caption generation, neural machine ...
  • Formally Verifying History using Theorem Proving 
    Imtiaz, Sana (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    History is considered as an essential part of our life, as it decides our present and future which is primarily based on historical facts. Historical facts are usually documented in books and are justified by the use of ...
  • Multi Class Classification of EEG Signal for Epilepsy Disease Detection Using Deep Learning 
    Ain, Qurat ul (School of Electrical Engineering and Computer Science NUST SEECS, 2020)
    This work is related to a real life health issue i.e. Epilepsy. Epilepsy disease is a neurological disorder which causes generation of an abnormal signal in brain causing uncontrollable jerking movements, temporary confusion ...
  • Prediction based Target Tracking in Wireless Sensor Network (WSN) 
    Khan, Muneeb Ahmed (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Wireless Sensor Networks (WSN) are used for monitoring purposes like physical monitoring, environmental monitoring, and area monitoring. WSNs cover many application areas such as security, health, environmental monitoring, ...
  • E2E security for popular web services 
    Shaheen, Muhammad Zohaib (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    With the ever growing number of data breaches on servers, its now more important than ever to secure sensitive information in a way that only intended parties can decrypt/understand the message even if data itself is ...
  • Inflation Forecasting for Pakistan using Artificial Neural Networks 
    Jawwad, Muhammad (School of Electrical Engineering and Computer Science NUST SEECS, 2021)
    Inflation forecasting is an important activity at central banks to formulate forward looking monetary policy. So the interest rate can be adjusted in order to curb inflation in the country. For this various techniques ...
  • Contextually Request Tweets Classification Based on Deep Features 
    Danish, Muhammad (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Millions of tweets are posted on Twitter related to different events and situations. As a result, many research problems have been identified for Twitter data. One of them is tweet classification, especially classification ...
  • AI & Machine Learning based early stage Landslide detection using GIS 
    Eman, Mehak (School of Electrical Engineering and Computer Science NUST SEECS, 2019)
    Number of population and areas affected by natural disasters are increasing day by day due to lack of proper planning and response/regularity authorities. Better practices and models must be adopted in order to reduce ...

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