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Muhammad Ikram Ullah Lali
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2020 – today
- 2024
- [j33]Iqra Ahmad, Javaria Amin, Muhammad Ikram Ullah Lali, Farhat Abbas, Muhammad Imran Sharif:
A novel Deeplabv3+ and vision-based transformer model for segmentation and classification of skin lesions. Biomed. Signal Process. Control. 92: 106084 (2024) - [j32]Hafsa Shareef Dar, Romana Aziz, Javed Ali Khan, Muhammad Ikram Ullah Lali, Nouf Abdullah Almujally:
Gamify4LexAmb: a gamification-based approach to address lexical ambiguity in natural language requirements. PeerJ Comput. Sci. 10: e2229 (2024) - 2023
- [j31]Saliha Zahoor, Umar Shoaib, Muhammad Ikram Ullah Lali:
Breast Masses Segmentation: A Framework of Skip Dilated Semantic Network and Machine Learning. Int. J. Artif. Intell. Tools 32(3): 2340012:1-2340012:29 (2023) - [j30]Hafiz Tayyab Rauf, Muhammad Ikram Ullah Lali, Muhammad Attique Khan, Seifedine Kadry, Hanan Alolaiyan, Abdul Razaq, Rizwana Irfan:
Time series forecasting of COVID-19 transmission in Asia Pacific countries using deep neural networks. Pers. Ubiquitous Comput. 27(3): 733-750 (2023) - 2022
- [j29]Muhammad Saqib Nawaz, Meng Sun, Basit Shahzad, Muhammad Ikram Ullah Lali, Tariq Umer, Shaohua Wan:
Quality of service in IoT protocol as designs and its verification in PVS. Trans. Emerg. Telecommun. Technol. 33(8) (2022) - 2021
- [j28]Muhammad Bilal, Mohsen Marjani, Ibrahim Abaker Targio Hashem, Nadia Malik, Muhammad Ikram Ullah Lali, Abdullah Gani:
Profiling reviewers' social network strength and predicting the "Helpfulness" of online customer reviews. Electron. Commer. Res. Appl. 45: 101026 (2021) - [j27]Syed Ahmad Chan Bukhari, Hafsa Shareef Dar, Muhammad Ikram Ullah Lali, Fazel Keshtkar, Khalid Mahmood Malik, Seifedine Nimer Kadry:
Frameworks for Querying Databases Using Natural Language: A Literature Review - NLP-to-DB Querying Frameworks. Int. J. Data Warehous. Min. 17(2): 21-38 (2021) - [j26]Talha Meraj, Hafiz Tayyab Rauf, Saliha Zahoor, Arslan Hassan, Muhammad Ikram Ullah Lali, Liaqat Ali, Syed Ahmad Chan Bukhari, Umar Shoaib:
Lung nodules detection using semantic segmentation and classification with optimal features. Neural Comput. Appl. 33(17): 10737-10750 (2021) - [j25]Hafiz Tayyab Rauf, Waqas Haider Bangyal, Muhammad Ikram Ullah Lali:
An adaptive hybrid differential evolution algorithm for continuous optimization and classification problems. Neural Comput. Appl. 33(17): 10841-10867 (2021) - [j24]Ahmad S. Almadhor, Hafiz Tayyab Rauf, Muhammad Ikram Ullah Lali, Robertas Damasevicius, Bader Alouffi, Abdullah Alharbi:
AI-Driven Framework for Recognition of Guava Plant Diseases through Machine Learning from DSLR Camera Sensor Based High Resolution Imagery. Sensors 21(11): 3830 (2021) - 2020
- [j23]Muhammad Samiullah, Waqar Aslam, Hira Nazir, Muhammad Ikram Ullah Lali, Basit Shahzad, Muhammad Rafiq Mufti, Humaira Afzal:
An Image Encryption Scheme Based on DNA Computing and Multiple Chaotic Systems. IEEE Access 8: 25650-25663 (2020) - [j22]Muhammad Attique Khan, Muhammad Ikram Ullah Lali, Muhammad Sharif, Kashif Javed, Khursheed Aurangzeb, Syed Irtaza Haider, Abdulaziz S. Altamrah, Tallha Akram:
Correction to "An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection". IEEE Access 8: 36514 (2020) - [j21]Muhammad Bilal, Mohsen Marjani, Muhammad Ikram Ullah Lali, Nadia Malik, Abdullah Gani, Ibrahim Abaker Targio Hashem:
Profiling Users' Behavior, and Identifying Important Features of Review "Helpfulness". IEEE Access 8: 77227-77244 (2020) - [j20]Hafiz Tayyab Rauf, Umar Shoaib, Muhammad Ikram Ullah Lali, Majed Alhaisoni, Muhammad Naeem Irfan, Muhammad Attique Khan:
Particle Swarm Optimization With Probability Sequence for Global Optimization. IEEE Access 8: 110535-110549 (2020) - [j19]Hafiz Tayyab Rauf, Sumbal Malik, Umar Shoaib, Muhammad Naeem Irfan, Muhammad Ikram Ullah Lali:
Adaptive inertia weight Bat algorithm with Sugeno-Function fuzzy search. Appl. Soft Comput. 90: 106159 (2020) - [j18]Farooq Javeed, Ansar Siddique, Akhtar Munir, Basit Shehzad, Muhammad Ikram Ullah Lali:
Discovering software developer's coding expertise through deep learning. IET Softw. 14(3): 213-220 (2020) - [j17]Fakhar Ullah Mangla, Muzammil Shahzad, Muhammad Ikram Ullah Lali, Syed Ahmad Chan Bukhari:
Sketch-based facial recognition: a weighted component-based approach (WCBA). Multim. Tools Appl. 79(37-38): 27533-27553 (2020)
2010 – 2019
- 2019
- [j16]Basit Shahzad, Kinza Mehr Awan, Abdullatif M. Abdullatif, Muhammad Ikram Ullah Lali, M. Saqib Nawaz, Ume Ayesha, Muzafar Khan:
Quantification of Productivity of the Brands on Social Media With Respect to Their Responsiveness. IEEE Access 7: 9531-9539 (2019) - [j15]Muhammad Attique Khan, Muhammad Ikram Ullah Lali, Muhammad Sharif, Kashif Javed, Khursheed Aurangzeb, Syed Irtaza Haider, Abdulaziz S. Altamrah, Tallha Akram:
An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection. IEEE Access 7: 46261-46277 (2019) - [j14]Muhammad Bilal, Abdullah Gani, Muhammad Ikram Ullah Lali, Mohsen Marjani, Nadia Malik:
Social Profiling: A Review, Taxonomy, and Challenges. Cyberpsychology Behav. Soc. Netw. 22(7): 433-450 (2019) - [j13]Hafiz Tayyab Rauf, Muhammad Ikram Ullah Lali, Saliha Zahoor, Syed Zakir Hussain Shah, Abd Ur Rehman, Syed Ahmad Chan Bukhari:
Visual features based automated identification of fish species using deep convolutional neural networks. Comput. Electron. Agric. 167 (2019) - [j12]Muhammad Ikram Ullah Lali, Ali Shariq Imran:
A Special Section on Effectiveness of Search Engine and Social Networking Data in Healthcare Systems. J. Medical Imaging Health Informatics 9(4): 647-648 (2019) - [j11]Fiaz Majeed, Muhammad Waqas Asif, Muhammad Awais, Syed Ali Abbas, Muhammad Ikram Ullah Lali:
Social Media News Classification in Healthcare Communication. J. Medical Imaging Health Informatics 9(6): 1215-1223 (2019) - [j10]Syed Muhammad Naqi, Muhammad Sharif, Muhammad Ikram Ullah Lali:
A 3D nodule candidate detection method supported by hybrid features to reduce false positives in lung nodule detection. Multim. Tools Appl. 78(18): 26287-26311 (2019) - [i2]Hafsa Shareef Dar, Muhammad Ikram Ullah Lali, Moin Ul Din, Khalid Mahmood Malik, Syed Ahmad Chan Bukhari:
Frameworks for Querying Databases Using Natural Language: A Literature Review. CoRR abs/1909.01822 (2019) - [i1]M. Saqib Nawaz, Moin Malik, Yi Li, Meng Sun, Muhammad Ikram Ullah Lali:
A Survey on Theorem Provers in Formal Methods. CoRR abs/1912.03028 (2019) - 2018
- [j9]Shafaan Khaliq Bhatti, Muhammad Ikram Ullah Lali, Basit Shahzad, Farooq Javid, Fakhar Ullah Mangla, Muhammad Ramzan:
Leveraging the Big Data Produced by the Network to Take Intelligent Decisions on Flow Management. IEEE Access 6: 12197-12205 (2018) - [j8]Hafsa Shareef Dar, Muhammad Ikram Ullah Lali, Humaira Ashraf, Muhammad Ramzan, Tehmina Amjad, Basit Shahzad:
A Systematic Study on Software Requirements Elicitation Techniques and its Challenges in Mobile Application Development. IEEE Access 6: 63859-63867 (2018) - [j7]Muhammad Sharif, Muhammad Attique Khan, Zahid Iqbal, Muhammad Faisal Azam, Muhammad Ikram Ullah Lali, Muhammad Younus Javed:
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection. Comput. Electron. Agric. 150: 220-234 (2018) - 2017
- [j6]Hussam Ali, Muhammad Ikram Ullah Lali, Muhammad Zohaib Nawaz, Muhammad Sharif, B. A. Saleem:
Symptom based automated detection of citrus diseases using color histogram and textural descriptors. Comput. Electron. Agric. 138: 92-104 (2017) - [j5]Muhammad Ikram Ullah Lali, Raza Ul-Mustafa, Kashif Saleem, M. Saqib Nawaz, Tehseen Zia, Basit Shahzad:
Finding Healthcare Issues with Search Engine Queries and Social Network Data. Int. J. Semantic Web Inf. Syst. 13(1): 48-62 (2017) - [j4]Basit Shehzad, Kinza Mehr Awan, Muhammad Ikram Ullah Lali, Waqar Aslam:
Identification of Patterns in Failure of Software Projects. J. Inf. Sci. Eng. 33(6): 1465-1479 (2017) - [j3]Waqar Aslam, Farah Ijaz, Muhammad Ikram Ullah Lali, Waqar Mehmood:
Risk Aware and Quality Enriched Effort Estimation for Mobile Applications in Distributed Agile Software Development. J. Inf. Sci. Eng. 33(6): 1481-1500 (2017) - 2016
- [c2]M. Saqib Nawaz, Hussam Ali, Muhammad Ikram Ullah Lali:
Concurrent Algorithms in SPIN Model Checker. FIT 2016: 193-198 - 2012
- [j2]Wim H. Hesselink, Muhammad Ikram Ullah Lali:
Formalizing a hierarchical file system. Formal Aspects Comput. 24(1): 27-44 (2012) - 2010
- [j1]Wim H. Hesselink, Muhammad Ikram Ullah Lali:
Simple concurrent garbage collection almost without synchronization. Formal Methods Syst. Des. 36(2): 148-166 (2010)
2000 – 2009
- 2009
- [c1]Wim H. Hesselink, Muhammad Ikram Ullah Lali:
Formalizing a Hierarchical File System. REFINE@FMWeek 2009: 67-85
Coauthor Index
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