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Khan, Aimal
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1

Enhanced Symbolic Artificial Intelligence Mechanism for Ext..:

, In: 2024 IEEE International Conference on Industrial Technology (ICIT),
Khan, Aimal ; Hetznecker, Alexander ; Drath, Rainer. - p. 1-6 , 2024
Link: https://doi.org/10.1109/..
 
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2

Self-Monitoring of External Magnetic Interference in Magnet..:

, In: Proceedings of the 2023 8th International Conference on Machine Learning Technologies,
Khan, Aimal ; König, Tobias ; Liebgott, Florian. - p. 8-14 , 2023
Link: https://dl.acm.org/doi/1..
 
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3

External Magnetic Interference Classification in Magnetostr..:

, In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN),
Khan, Aimal ; Konig, Tobias ; Liebgott, Florian. - p. 1-6 , 2023
Link: https://doi.org/10.1109/..
 
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4

Symbolic AI for External Magnetic Interference Classificati..:

, In: 2023 IEEE Conference on Artificial Intelligence (CAI),
Khan, Aimal ; Greiner, Thomas - p. 185-188 , 2023
Link: https://doi.org/10.1109/..
 
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5

Application of Smart IoT Technology in Project Management S..:

, In: 2022 International Conference on Data Analytics for Business and Industry (ICDABI),
Rasheed, Kumeel ; Ammad, Syed ; Said, Akhunzada Younis... - p. 49-55 , 2022
Link: https://doi.org/10.1109/..
 
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6

Laparoscopic Ileocolic Resection:

, In: Techniques in Minimally Invasive Surgery,
Khan, Aimal ; Fichera, Alessandro - p. 323-331 , 2021
Link: https://doi.org/10.1007/..
 
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7

Towards the Selection of the Best Machine Learning Techniqu..:

, In: Proceedings of the 2020 12th International Conference on Machine Learning and Computing,
Zeb, Babar ; Khan, Aimal ; Khan, Younas... - p. 127-133 , 2020
Link: https://dl.acm.org/doi/1..
 
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8

Denoising The Wireless Channel Corrupted Images Using Machi..:

, In: 2019 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD),
Sufian, Muhammad ; Khan, Aimal ; Saeed, Takreem. - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
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9

Blood Glucose Level Prediction with Minimal Inputs Using Fe..:

, In: Proceedings of the 2019 11th International Conference on Machine Learning and Computing,
Asad, Muhammad ; Qamar, Usman ; Zeb, Babar.. - p. 182-185 , 2019
Link: https://dl.acm.org/doi/1..
 
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10

Towards the Selection of Best Machine Learning Model for St..:

, In: 2019 6th International Conference on Soft Computing & Machine Intelligence (ISCMI),
Masood, Muhammad Faisal ; Khan, Aimal ; Hussain, Farhan... - p. 12-17 , 2019
Link: https://doi.org/10.1109/..
 
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11

Machine Learning Techniques for Heart Disease Datasets :..:

, In: Proceedings of the 2019 11th International Conference on Machine Learning and Computing,
Khan, Younas ; Qamar, Usman ; Yousaf, Nazish. - p. 27-35 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

A Systematic Literature Review of Continuous Blood Glucose ..:

, In: Proceedings of the 2019 11th International Conference on Machine Learning and Computing,
Asad, Muhammad ; Qamar, Usman ; Khan, Aimal. - p. 539-545 , 2019
Link: https://dl.acm.org/doi/1..
 
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13

ReNoVatE: Recovery from Node Failure in Virtual Network Emb..:

, In: Proceedings of the 12th Conference on International Conference on Network and Service Management,
Shahriar, Nashid ; Ahmed, Reaz ; Khan, Aimal... - p. 19-27 , 2016
Link: https://dl.acm.org/doi/1..
 
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14

A Brick-by-Brick Approach to Learning MIPS Microarchitectur:

, In: 2023 IEEE Global Engineering Education Conference (EDUCON),
Yousafzai, Jibran Khan ; Yousafzai, Aimal Khan - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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15

Optimization of Efficient Copper-Indium-Gallium Di-Selenide..:

, In: 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE),
Rashid Ullah, Muhammad ; Daud Khan, Aimal ; Iqbal, Javed - p. 1-6 , 2019
Link: https://doi.org/10.1109/..
 
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