NUST Institutions Library Catalogue

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Machine Learning based Short Term Electric Load Forecasting for Domestic Users / Anum Niaz

by Niaz, Anum | Supervisor: Dr. Hashir Moheed Kiani.

Material type: Text Text Islamabad : SEECS, NUST, 2022Online access: Click here to access online Availability: Items available for loan: Central Library (CL)Call number: 200 (1).
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A Hybrid Machine Learning Technique for Short-Term Electric Load Forecasting for Residential Users / Muhammad Awais Nawaz

by Nawaz, Muhammad Awais | Supervisor: Dr. Hashir Moheed Kiani.

Material type: Text Text Islamabad : SEECS, NUST, 2022Online access: Click here to access online Availability: Items available for loan: Central Library (CL)Call number: 200 (1).
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Enhancing Efficiency, Security, and Reliability in VANET using a Reputation-Based System/ Haseeb Mehdi

by MEHDI, HASEEB | Supervisor: Dr. Hashir Moheed Kiani.

Material type: Text Text Islamabad, SEECS NUST, 2023Online access: Click here to access online Availability: Items available for loan: Central Library (CL)Call number: 200 (1).
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Improving Phishing URL Detection Accuracy through Hybrid Learning with Isolation Forest Anomaly Integration/ Azka Batool Jaffri,

by Jaffri, Azka Batool | Supervisor: Dr. Hashir Moheed Kiani.

Material type: Text Text Islamabad: SEECS NUST. 2025Online access: Click here to access online Availability: Items available for loan: Central Library (CL)Call number: 200 (1).
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Advanced Brain Tumor Detection and Segmentation in MRI Imaging using Deep Learning and Explainable AI/ Ayesha Maryam,

by Maryam, Ayesha | Supervisor: Dr. Hashir Moheed Kiani.

Material type: Text Text Islamabad: SEECS NUST. 2025Online access: Click here to access online Availability: Items available for loan: Central Library (CL)Call number: 200 (1).
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Renewable Energy Generation Forecasting Using Machine Learning and Weather Data/ Bisma Ali,

by Ali, Bisma | Supervisor: Dr. Hashir Moheed Kiani.

Material type: Text Text Islamabad: SEECS NUST. 2026Online access: Click here to access online Availability: Items available for loan: Central Library (CL)Call number: 200 (1).
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