Muzaffar Ali

Tri-hybrid transformer framework for multi-target performance prediction of solid desiccant evaporative cooling systems

Habeb Al-Sameai, Sibghat Ullah, Radhwan A. A. Saleh, Mustafa Ghaleb et autres

Solid desiccant evaporative cooling system (DECS) offers a sustainable alternative for building air conditioning; however, its coupled heat and mass transfer processes make accurate performance prediction challenging. Although data-driven models have increasingly been applied to this problem, existing approaches often suffer from …

Transient Analysis of Solar Driven Hydrogen Generation System Using Industrial Waste Water

Muzaffar Ali, Javed Iqbal Akhter, Muhammad Usman, Muhammad Taha Manzoor et autres

This study investigates an integrated solar-powered system for wastewater treatment and hydrogen production, combining solar PV, a humidification–dehumidification (HDH) system, solar thermal collectors, and electrolysis. The objective is to evaluate the feasibility of utilizing industrial wastewater for both clean water production and …

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Improved Thermal and Power Management of Modified Solar PV System Integrated with Phase Change Material Through Transient Charging and Discharging Cycles

Mohsin Ali, Muzaffar Ali, Najam Ul Hassan Shah, Guiqiang Li et autres

Increase in temperatures significantly reduce photovoltaic (PV) panel efficiency by increasing thermalization losses and carrier recombination. To mitigate this issue, phase change material (PCM-RT35) is integrated with the PV system. This study investigates the thermal performance of a PV–PCM hybrid system under …

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Analysis of building-integrated solar desiccant air cooling systems considering the dynamic sensible and latent cooling loads

Ghulam Qadar Chaudhary, Z.Q. Hu, Suoying He, Muzaffar Ali et autres

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Effect of critical parameters on the performance of integrated climate controlled solar desiccant air conditioning system

Sibghat Ullah, Muzaffar Ali, Allah Ditta, Ghulam Qadar Chaudhary et autres

A remarkable increase in global ambient temperature is resulting in a high demand for human thermal comfort. The space cooling and heating requirements are increasing worldwide. Currently, conventional vapor compression refrigeration systems are dominating the market share in building air conditioning. These …

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Virtual Energy Replication Framework for Predicting Residential PV Power, Heat Pump Load, and Thermal Comfort Using Weather Forecast Data

Daud Mustafa Minhas, Muhammad Usman, Irtaza Bashir Raja, Aneela Wakeel et autres

It is essential to balance energy supply and demand in residential buildings through accurate forecasting of energy use due to varying daily and seasonal residential building loads. This study demonstrates a data-driven Virtual Energy Replication Framework (VERF) to predict the behavior of …

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Adapting Energy Conservation Building Code-2023 for the Diverse Climates of Pakistan: A Path to Affordable Energy Efficiency and Sustainable Living

Tahir Mehmood, Tanzeel ur Rashid, Muhammad Usman, Muzaffar Ali et autres

In Pakistan and most other developing nations, the residential building sector is one of the highest energy-consuming domains. The residential sector has the highest share of 50% of final electricity use of the country. Though Energy Conservation Building Codes (ECBC-2023) provide structured …

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Investigation on a good combination of inlet air spray pre-cooling and Y-type windbreak in a natural draft dry cooling tower

Yu Luo, Weiran Shi, Ke Zheng Sun, Huimin Pang et autres

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Enhanced thermal efficiency in crossflow evaporative cooling systems: A comparative study of materials and flow patterns

Sabir Rasheed, Muzaffar Ali, Hassan Ali, Nadeem Ahmed Sheikh et autres

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Car Genie -Designing A Prototype Of Automated Vehicle System

Syeda Bareeerah, Sofia Amreen, Muzaffar Ali

This project aims to develop a prototype of a robotcar that can be controlled using a smartphone viaWi-Fi. The goal is to build a robust, flexible, andefficient system that requires minimal resources. Atthe heart of the system lies the ESP8266microcontroller, which acts …

Hybrid Machine Learning Model for Efficient Bonet Attack Detection

Mohd Mubashir Affan, Mohammed Thouheeduddin, Ahmed Shehab Khan, Muzaffar Ali

With the rapid development of Internettechnology, cyber-attacks are becomingincreasingly sophisticated, with botnet attacksemerging as one of the most harmful threats.Botnet identification is challenging due to thewide range of attack vectors and the continuousevolution of malicious software. As the Internetof Things (IoT) technology …

Secure Inter Organizational File Sharing Using Block Chain

Syed Ghouse Pasha, Mohammed Omer, Muzaffar Ali

As industrial systems continue to evolve, edge devices are generating vast amounts of data on a daily basis. Despite this growth, most data remains confined to centralized data centers, creating significant challenges for secure data exchange across different domains. The emergence of …

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