Impacts Assessment of the Expanding Urban Land Development on the Discharge of the SWAT Perennial River Utilizing GIS-based Hydrological Models

Authors

  • Saad Zaheer Centre of Excellence in Water Resources Engineering, University of Engineering and Technology (UET), Lahore, Pakistan/Civil Engineering Department, Bahauddin Zakariya University, Multan, Pakistan
  • Hamid Ullah Shandong Normal University, Shandong, China
  • Mehran Khalil Site Inspector, National Highway Authority (NHA), Balochistan, Pakistan
  • Zafar Ullah Khan US-Pakistan Center for Advanced Studies in Energy, University of Engineering and Technology (UET), Peshawar, Pakistan
  • Abdul Aleem Mehran University of Engineering and Technology Jamshoro, Pakistan
  • Yaseen Badar Department of Electrical Engineering, Bahria University, Karachi, Pakistan

Abstract

The development of conscious creatures that can mimic human cognitive capacities has long been a goal of the artificial intelligence (AI) community. The integration of emotion, common sense, and learning is still a basic difficulty, despite advancements in areas like as reasoning, problem-solving, and pattern recognition. Although these components are necessary for intelligence comparable to that of humans, they are challenging to simulate and apply. The present status of research on creating conscious entities that can integrate emotion, common sense, and adaptive learning is examined in this study. We point out important problems, suggest possible fixes, and indicate areas for further study.

Keywords: Emotion Recognition in AI, Common Sense Reasoning, Adaptive Learning Systems, Conscious AI Agents, Affective Computing, Neuro-symbolic Integration, Lifelong Learning in AI, Cognitive Architectures, Human-Centric AI, Artificial General Intelligence (AGI)

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Published

2024-10-31

How to Cite

Saad Zaheer, Hamid Ullah, Mehran Khalil, Zafar Ullah Khan, Abdul Aleem, & Yaseen Badar. (2024). Impacts Assessment of the Expanding Urban Land Development on the Discharge of the SWAT Perennial River Utilizing GIS-based Hydrological Models. Spectrum of Engineering Sciences, 2(3), 242–273. Retrieved from https://sesjournal.com/index.php/1/article/view/44

Issue

Vol. 2 No. 3 (2024): Spectrum of Engineering Sciences

Section

Articles