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Now showing items 1-13 of 13

Formal Modeling for Automated Security Analytics fo the Internet of Things

Mohsin, Mujahid (SEECS, National University of Science and Technology, Islamabad., 2017)

The Internet of Things (IoT) has given us a notion of a smartly connected world, being driven by a network of embedded devices or “things”; observing, interacting and implementing feature(s) with minimal human intervention. ...
Application of Fuzzy Ontology in Image Retrieval

Madiha Liaqat (SEECS, National University of Science and Technology, Islamabad., 2018)
Semantic Annotation and Retrieval in E-Recruitment

Awan, Malik Nabeel Ahmed (School of Electrical Engineering and Computer Science (SEECS), NUST, 2019)

E-recruitment processes prioritize matching between job descriptions and user queries to identify relevant candidates. Existing e-recruitment systems face challenges in extracting job descriptions due to unstructured ...
Reconstruction of Qualitative Gene Regulatory Networks

Mehrosh Khalid (SEECS, National University of Science and Technology, Islamabad., 2019)
Dynamic Secret Sharing in Wireless Network for Security Purposes

Bhatti, David Samuel (School of Electrical Engineering and Computer Science (SEECS), NUST, 2020)

Wireless networks are widely accepted in almost all fields of life. Due to the broadcast nature, extensive and across-the-board use of these networks, security is becoming a critical issue day by day in these networks. ...
Information Security in the Post Quantum Era for IoT

Rauf, Abid (School of Electrical Engineering and Computer Science,(SEECS) NUST, 2021)

With the emergence of Quantum computing, more and more emphasis is on devel oping cyber-physical quantum-safe systems. Information-Theoretic security does not depend upon assumptions of computational hardness. Thus is ...
An Intelligent Multimodal System for Regional Water Quality Monitoring and Management Based on Remote Sensing and GIS

Ahmed, Mehreen (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)

Water pollution is a major threat to the waterways and ecosystems. The tradi tional approaches to monitor the quality of water involve manual sampling and subsequent laboratory analysis. These conventional monitoring ...
A Framework of Effective Resource Allocation with Privacy Preservation in Connected Vehicles

Shabir, Balawal (School of Electrical Engineering and Computer Sciences (SEECS), NUST, 2023)

A vehicular fog network is an emerging paradigm adopted to facilitate delay-sensitive and innovative applications. Since vehicular environments are inherently dynamic, it is challenging to effectively utilize available ...
Energy Forecasting and Decision Making using Data Analytics in Smart Grid

Qurat-ul-Ain (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)

In a world driven by a massive demand for energy, energy forecasting and intelli gent decision making are crucial. Load forecasting remains challenging due to the non-linearity, multiple seasonality, varying variance, and ...
An Integrated Approach for Agricultural Monitoring based on Internet of Things (IoT), Remote Sensing and Deep Learning

Shafi, Uferah (School of Electrical Engineering & Computer Science (SEECS), NUST, 2024)

The agriculture sector holds a dominant position in Pakistan’s economy, accounting for 37.4% of employment generation and playing a key role in ensuring food security. Despite the nation’s GDP heavily relying on agriculture, ...
Implementation of Open Models for Fully / Partially Disaggregated SDN based Optical Networks

Mati Ur Rahman, Hafiz (School of Electrical Engineering & Computer Science (SEECS),NUST, 2024)

In an era marked by the relentless demand for enhanced networking solutions, this research delves into the realm of Software Defined Optical Networks (SDON). Harnessing the transformative power of Software Defined ...
Data Analytics in Smart Grid for Optimal Energy Management for Green Cities

Shahzad, Khuram (School of Electrical Engineering and Computer Science (SEECS)NUST, 2024)

In the modern era of rapid urbanization and pressing environmental concerns, the concept of smart grids has emerged as a pivotal solution towards sustainable and energyefficient cities. To fully leverage the capabilities ...
Generalized Zero-Shot Learning for Visual Object Recognition

Gull, Muqaddas (School of Electrical Engineering and Computer Science (SEECS)NUST, 2024)

Modern computer vision tasks rely heavily on extensive training data for accurate classification. However, the collection and annotation of such data can be impractical. To address this challenge, zero-shot learning (ZSL) ...

Now showing items 1-13 of 13

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