Items where Author is "Hashmani, M.A."

Jaffari, R. and Hashmani, M.A. and Reyes-Aldasoro, C.C. and Junejo, A.Z. and Taib, H. and Abdullah, M.N.B. (2023) PLPose: An efficient framework for detecting power lines via key points-based pose estimation. Journal of King Saud University - Computer and Information Sciences, 35 (7). ISSN 13191578

Khan, D. and Hashmani, M.A. and Jung, L.T. and Junejo, A.Z. (2022) Blockchain Enabled Track-and-Trace Framework for Covid-19 Immunity Certificate. In: UNSPECIFIED.

Khan, D. and Hashmani, M.A. and Jung, L.T. and Junejo, A.Z. (2022) Blockchain Enabled Track-and-Trace Framework for Covid-19 Immunity Certificate. In: UNSPECIFIED.

Hashmani, M.A. and Memon, M.M. and Raza, K. and Adil, S.H. and Rizvi, S.S. and Umair, M. (2022) Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++). Sensors, 22 (3).

Khan, D. and Jung, L.T. and Hashmani, M.A. and Cheong, M.K. (2022) Empirical Performance Analysis of Hyperledger LTS for Small and Medium Enterprises. Sensors, 22 (3).

Khairuddin, S.H. and Hasan, M.H. and Akhir, E.A.P. and Hashmani, M.A. (2022) Generating type 2 trapezoidal fuzzy membership function using genetic tuning. Computers, Materials and Continua, 71 (1). pp. 717-734.

Khairuddin, S.H. and Hasan, M.H. and Akhir, E.A.P. and Hashmani, M.A. (2022) Generating type 2 trapezoidal fuzzy membership function using genetic tuning. Computers, Materials and Continua, 71 (1). pp. 717-734.

Effendi, A.D. and Sia, C.W. and Jasamai, M. and Hashmani, M.A. (2022) Investigation on esterified pectin as natural hydrate inhibitor on methane hydrate formation. Journal of Petroleum Exploration and Production Technology.

Khursheed, S. and Badruddin, N. and Jeoti, V. and Hashmani, M.A. (2022) A Novel Online Correlation Noise Model Based on Band Coefficients Mean to Achieve Low Computational and Coding-Efficient Distributed Video Codec. Applied Sciences (Switzerland), 12 (13).

Hashmani, M.A. and Umair, M. (2022) A Novel Visual-Range Sea Image Dataset for Sea Horizon Line Detection in Changing Maritime Scenes. Journal of Marine Science and Engineering, 10 (2).

Hashmani, M.A. and Memon, M.M. and Ebrahim, M. and Raza, K. and Arain, A.A. (2022) Student Procrastination Analysis in Virtual Learning Environments. In: UNSPECIFIED.

Umair, M. and Hashmani, M.A. (2022) A Visual-Range Cloud Cover Image Dataset for Deep Learning Models. International Journal of Advanced Computer Science and Applications, 13 (1). pp. 534-541.

Hashmani, M.A. and Umair, M. and Keiichi, H. (2022) Wave Parameters Prediction for Wave Energy Converter Site using Long Short-Term Memory. International Journal of Advanced Computer Science and Applications, 13 (3). pp. 481-487.

Shaikh, F.B. and Rehman, M. and Amin, A. and Hashmani, M.A. (2021) Cyber Wellness and Youth: A Systematic Literature Review. In: UNSPECIFIED.

Shaikh, F.B. and Rehman, M. and Amin, A. and Shamim, A. and Hashmani, M.A. (2021) Cyberbullying Behaviour: A Study of Undergraduate University Students. IEEE Access, 9. pp. 92715-92734.

Junejo, A.Z. and Hashmani, M.A. and Memon, M.M. (2021) Empirical evaluation of privacy efficiency in blockchain networks: Review and open challenges. Applied Sciences (Switzerland), 11 (15).

Palli, A.S. and Jaafar, J. and Hashmani, M.A. (2021) Performance Degradation of Multi-class Classification Model Due to Continuous Evolving Data Streams. Lecture Notes on Data Engineering and Communications Technologies, 72. pp. 696-706.

Hashmani, M.A. and Jameel, S.M. and Rizvi, S.S.H. and Shukla, S. (2021) An adaptive federated machine learning-based intelligent system for skin disease detection: A step toward an intelligent dermoscopy device. Applied Sciences (Switzerland), 11 (5). pp. 1-19.

Zaffar, M. and Hashmani, M.A. and Habib, R. and Quraishi, K.S. and Irfan, M. and Alqhtani, S. and Hamdi, M. (2021) A hybrid feature selection framework for predicting students performance. Computers, Materials and Continua, 70 (1). pp. 1893-1920.

Jaffari, R. and Hashmani, M.A. and Reyes-Aldasoro, C.C. (2021) A novel focal phi loss for power line segmentation with auxiliary classifier u-net. Sensors, 21 (8).

Hashmani, M.A. and Junejo, A.Z. and Alabdulatif, A.A. and Adil, S.H. (2020) Blockchain in Education - Track ability and Traceability. In: UNSPECIFIED.

Shaikh, T.A. and Hussain, S.S. and Tanweer, M.R. and Hashmani, M.A. (2020) Broadening selection competitive constraint handling algorithm for faster convergence. Journal of Information Science and Engineering, 36 (6). pp. 1293-1314.

Hashmani, M.A. and Jameel, S.M. and Rehman, M. and Inoue, A. (2020) Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review. International Journal on Smart Sensing and Intelligent Systems, 13 (1). pp. 1-16.

Khairuddin, S.H. and Hasan, M.H. and Hashmani, M.A. (2020) Integration of cluster centers and gaussian distributions in fuzzy c-means for the construction of trapezoidal membership function. Mathematics and Statistics, 8 (5). pp. 559-565.

Umair, M. and Hashmani, M.A. and Keiichi, H. (2020) Optimal Feature Identification for Machine Prediction of Wind-Wave Parameters at Wave Energy Converter Site. In: UNSPECIFIED.

Hashmani, M.A. and Memon, M.M. and Raza, K. (2020) Semantic Segmentation for Visually Adverse Images - A Critical Review. In: UNSPECIFIED.

Osawa, K. and Yamaguchi, H. and Umair, M. and Hashmani, M.A. and Horio, K. (2020) Wave Height and Peak Wave Period Prediction Using Recurrent Neural Networks. In: UNSPECIFIED.

Jameel, S.M. and Hashmani, M.A. and Rehman, M. and Budiman, A. (2020) An adaptive deep learning framework for dynamic image classification in the internet of things environment. Sensors (Switzerland), 20 (20). pp. 1-25.

Jameel, S.M. and Hashmani, M.A. and Rehman, M. and Budiman, A. (2020) An adaptive deep learning framework for dynamic image classification in the internet of things environment. Sensors (Switzerland), 20 (20). pp. 1-25.

Jameel, S.M. and Hashmani, M.A. and Alhussain, H. and Rehman, M. and Budiman, A. (2020) An optimized deep convolutional neural network architecture for concept drifted image classification. Advances in Intelligent Systems and Computing, 1037. pp. 932-942.

Uddin, V. and Rizvi, S.S.H. and Hashmani, M.A. and Jameel, S.M. and Ansari, T. (2020) A study of deterioration in classification models in real-time big data environment. Advances in Intelligent Systems and Computing, 1073. pp. 79-87.

Zaffar, M. and Hashmani, M.A. and Savita, K.S. (2019) Comparing the performance of FCBF, Chi-Square and relief-F filter feature selection algorithms in educational data mining. Advances in Intelligent Systems and Computing, 843. pp. 151-160.

Zaffar, M. and Hashmani, M.A. and Savita, K.S. (2019) Comparing the performance of FCBF, Chi-Square and relief-F filter feature selection algorithms in educational data mining. Advances in Intelligent Systems and Computing, 843. pp. 151-160.

Anwar, R. and Rehman, M. and Wang, K.S. and Hashmani, M.A. and Shamim, A. (2019) Investigation of Knowledge Sharing Behavior in Global Software Development Organizations Using Social Cognitive Theory. IEEE Access, 7. pp. 71286-71298.

Jameel, S.M. and Hashmani, M.A. and Alhussain, H. and Budiman, A. (2019) A fully adaptive image classification approach for industrial revolution 4.0. Advances in Intelligent Systems and Computing, 843. pp. 311-321.

Jameel, S.M. and Hashmani, M.A. and Alhussain, H. and Budiman, A. (2019) A fully adaptive image classification approach for industrial revolution 4.0. Advances in Intelligent Systems and Computing, 843. pp. 311-321.

Zaffar, M. and Hashmani, M.A. and Savita, K.S. (2018) Performance analysis of feature selection algorithm for educational data mining. 2017 IEEE Conference on Big Data and Analytics, ICBDA 2017, 2018-J. pp. 7-12.

Hashmani, M.A. and Abro, F.R. and Unar, M.A. and Watada, J. (2018) A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals. Journal of Theoretical and Applied Information Technology, 96 (8). pp. 2106-2127.

Hashmani, M.A. and Abro, F.R. and Unar, M.A. and Watada, J. (2018) A novel algorithm to reduce peak-to-average power ratio of orthogonal frequency division multiplexing signals. Journal of Theoretical and Applied Information Technology, 96 (8). pp. 2106-2127.

Zaffar, M. and Savita, K.S. and Hashmani, M.A. and Rizvi, S.S.H. (2018) A study of feature selection algorithms for predicting students academic performance. International Journal of Advanced Computer Science and Applications, 9 (5). pp. 541-549.

Zaffar, M. and Savita, K.S. and Hashmani, M.A. and Rizvi, S.S.H. (2018) A study of feature selection algorithms for predicting students academic performance. International Journal of Advanced Computer Science and Applications, 9 (5). pp. 541-549.