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Adam Slowik
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Publications
- 2024
- [j47]Yao Lv, Peng Liu, Juan Wang, Yao Zhang, Adam Slowik, Jianhui Lv:
GA-based feature selection method for oversized data analysis in digital economy. Expert Syst. J. Knowl. Eng. 41(1) (2024) - [j46]Hadi Zavieh, Amir Javadpour, Forough Ja'fari, Arun Kumar Sangaiah, Adam Slowik:
Enhanced Efficiency in Fog Computing: A Fuzzy Data-Driven Machine Selection Strategy. Int. J. Fuzzy Syst. 26(1): 368-389 (2024) - [j45]Chenyi Zhang, Yu Xue, Ferrante Neri, Xu Cai, Adam Slowik:
Multi-Objective Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification. Int. J. Neural Syst. 34(3): 2450014:1-2450014:18 (2024) - [j44]Wen Xing, Adam Slowik, J. Dinesh Peter:
Edge-cloud computing oriented large-scale online music education mechanism driven by neural networks. J. Cloud Comput. 13(1): 55 (2024) - [j43]Jianhui Lv, Bo Yi, Adam Slowik, Peichen Li, Jiahao Chen:
VNF Constituted Consumer Application Preference for High-Quality Service Provision in IoT. IEEE Trans. Consumer Electron. 70(1): 1071-1079 (2024) - 2023
- [j42]Xiao Chen, Zhi Li, J. Dinesh Peter, Adam Slowik:
Circular economy oriented future building information processing: PSO for CNN approach. Appl. Soft Comput. 149(Part B): 111013 (2023) - [j41]Qiuying Lv, Nannan Yang, Adam Slowik, Jianhui Lv, Amin Yousefpour:
Market behavior-oriented deep learning-based secure data analysis in smart cities. Comput. Electr. Eng. 108: 108722 (2023) - [j40]Poria Pirozmand, Mehdi Sadeghilalimi, Ali Asghar Rahmani Hosseinabadi, Fatemeh Sadeghilalimi, Seyedsaeid Mirkamali, Adam Slowik:
A feature selection approach for spam detection in social networks using gravitational force-based heuristic algorithm. J. Ambient Intell. Humaniz. Comput. 14(3): 1633-1646 (2023) - [j39]Tacjana Niksa-Rynkiewicz, Piotr Stomma, Anna Witkowska, Danuta Rutkowska, Adam Slowik, Krzysztof Cpalka, Joanna Jaworek-Korjakowska, Piotr Kolendo:
An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks. J. Artif. Intell. Soft Comput. Res. 13(3): 197-210 (2023) - [j38]Wanjin Dong, Soonbae Kim, Adam Slowik, Jianhui Lv:
Bridging Human-Computer Interaction and Ecofeminism: Insights from Deleuze and AI. J. Multim. Inf. Syst. 10(4): 301-320 (2023) - [j37]Zhenman Zhang, Yu Xue, Adam Slowik, Ziming Yuan:
Sle-CNN: a novel convolutional neural network for sleep stage classification. Neural Comput. Appl. 35(23): 17201-17216 (2023) - [j36]Amir Javadpour, Samira Rezaei, Arun Kumar Sangaiah, Adam Slowik, Shadi Mahmoodi Khaniabadi:
Enhancement in Quality of Routing Service Using Metaheuristic PSO Algorithm in VANET Networks. Soft Comput. 27(5): 2739-2750 (2023) - [j35]Yu Xue, Chen Chen, Adam Slowik:
Neural Architecture Search Based on a Multi-Objective Evolutionary Algorithm With Probability Stack. IEEE Trans. Evol. Comput. 27(4): 778-786 (2023) - [c23]Adam Slowik, Krzysztof Cpalka, Aboul Ella Hassanien:
Evolutionary Algorithms and Their Applications in Intelligent Systems. AISI 2023: 143-153 - [e2]Aboul Ella Hassanien, Abdelkrim Haqiq, Ahmad Taher Azar, KC Santosh, M. A. Jabbar, Adam Slowik, Parthasarathy Subashini:
The 3rd International Conference on Artificial Intelligence and Computer Vision, AICV 2023, Marrakesh, Morocco, March 5-7, 2023. Lecture Notes on Data Engineering and Communications Technologies 164, Springer 2023, ISBN 978-3-031-27761-0 [contents] - 2022
- [j34]Krzysztof Cpalka, Adam Slowik, Krystian Lapa:
A population-based algorithm with the selection of evaluation precision and size of the population. Appl. Soft Comput. 115: 108154 (2022) - [j33]Maryam Ahmady, Seyed Saeid Mirkamali, Bahareh Pahlevanzadeh, Elnaz Pashaei, Ali Asghar Rahmani Hosseinabadi, Adam Slowik:
Facial expression recognition using fuzzified Pseudo Zernike Moments and structural features. Fuzzy Sets Syst. 443(Part): 155-172 (2022) - [j32]Poria Pirozmand, Ali Asghar Rahmani Hosseinabadi, Maedeh Farrokhzad, Mehdi Sadeghilalimi, Seyed Saeid Mirkamali, Adam Slowik:
Correction to: Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing. Neural Comput. Appl. 34(3): 2497 (2022) - [j30]Adam Slowik, Krzysztof Cpalka:
Guest Editorial: Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications. IEEE Trans. Ind. Informatics 18(1): 542-545 (2022) - [j29]Adam Slowik, Krzysztof Cpalka:
Hybrid Approaches to Nature-Inspired Population-Based Intelligent Optimization for Industrial Applications. IEEE Trans. Ind. Informatics 18(1): 546-558 (2022) - 2021
- [j28]Yu Xue, Yan Zhao, Adam Slowik:
Classification Based on Brain Storm Optimization With Feature Selection. IEEE Access 9: 16582-16590 (2021) - [j26]Yu Xue, Yankang Wang, Jiayu Liang, Adam Slowik:
A Self-Adaptive Mutation Neural Architecture Search Algorithm Based on Blocks. IEEE Comput. Intell. Mag. 16(3): 67-78 (2021) - [j25]Yu Xue, Jiafeng Qin, Shoubao Su, Adam Slowik:
Brain Storm Optimization Based Clustering for Learning Behavior Analysis. Comput. Syst. Sci. Eng. 39(2): 211-219 (2021) - [j24]Gaurav Dhiman, Krishna Kant Singh, Mukesh Soni, Atulya Nagar, Mohammad Dehghani, Adam Slowik, Amandeep Kaur, Ashutosh Sharma, Essam H. Houssein, Korhan Cengiz:
MOSOA: A new multi-objective seagull optimization algorithm. Expert Syst. Appl. 167: 114150 (2021) - [j23]Gaurav Dhiman, Mukesh Soni, Hari Mohan Pandey, Adam Slowik, Harsimran Kaur:
A novel hybrid hypervolume indicator and reference vector adaptation strategies based evolutionary algorithm for many-objective optimization. Eng. Comput. 37(4): 3017-3035 (2021) - [j22]Yu Xue, Haokai Zhu, Jiayu Liang, Adam Slowik:
Adaptive crossover operator based multi-objective binary genetic algorithm for feature selection in classification. Knowl. Based Syst. 227: 107218 (2021) - [j21]Gaurav Dhiman, Krishna Kant Singh, Adam Slowik, Victor Chang, Ali Riza Yildiz, Amandeep Kaur, Meenakshi Garg:
EMoSOA: a new evolutionary multi-objective seagull optimization algorithm for global optimization. Int. J. Mach. Learn. Cybern. 12(2): 571-596 (2021) - [j20]Morteza Babazadeh Shareh, Shirin Hatami Bargh, Ali Asghar Rahmani Hosseinabadi, Adam Slowik:
An improved bat optimization algorithm to solve the tasks scheduling problem in open shop. Neural Comput. Appl. 33(5): 1559-1573 (2021) - [j19]Walaa Hassan Elashmawi, Ahmed Fouad Ali, Adam Slowik:
Hybrid crow search and uniform crossover algorithm-based clustering for top-N recommendation system. Neural Comput. Appl. 33(12): 7145-7164 (2021) - [j18]Poria Pirozmand, Ali Asghar Rahmani Hosseinabadi, Maedeh Farrokhzad, Mehdi Sadeghilalimi, Seyed Saeid Mirkamali, Adam Slowik:
Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing. Neural Comput. Appl. 33(19): 13075-13088 (2021) - [j17]Fereshteh Jeyafzam, Babak Vaziri, Mohsen Yaghoubi Suraki, Ali Asghar Rahmani Hosseinabadi, Adam Slowik:
Improvement of grey wolf optimizer with adaptive middle filter to adjust support vector machine parameters to predict diabetes complications. Neural Comput. Appl. 33(22): 15205-15228 (2021) - [j16]Rizk Masoud Rizk-Allah, Adam Slowik, Ashraf Darwish, Aboul Ella Hassanien:
Orthogonal Latin squares-based firefly optimization algorithm for industrial quadratic assignment tasks. Neural Comput. Appl. 33(23): 16675-16696 (2021) - [j15]Ashutosh Sharma, Pradeep Kumar Singh, Wei-Chiang Hong, Gaurav Dhiman, Adam Slowik:
Introduction to the Special Issue on Artificial Intelligence for Smart Cities and Industries. Scalable Comput. Pract. Exp. 22(2): 89-91 (2021) - [c22]Krystian Lapa, Krzysztof Cpalka, Adam Slowik:
Population Management Approaches in the OPn Algorithm. ICAISC (1) 2021: 402-414 - [e1]Aboul Ella Hassanien, Adam Slowik, Václav Snásel, Hisham El-Deeb, Mohamed Fahmy Tolba:
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics, AISI 2020, Cairo, Egypt, 19-21 October 2020. Advances in Intelligent Systems and Computing 1261, Springer 2021, ISBN 978-3-030-58668-3 [contents] - 2020
- [j12]Nour Eldeen Mahmoud Khalifa, Mohamed Hamed N. Taha, Dalia Ezzat, Adam Slowik, Aboul Ella Hassanien:
Artificial Intelligence Technique for Gene Expression by Tumor RNA-Seq Data: A Novel Optimized Deep Learning Approach. IEEE Access 8: 22874-22883 (2020) - [j11]Rizk Masoud Rizk-Allah, Adam Slowik, Aboul Ella Hassanien:
Hybridization of Grey Wolf Optimizer and Crow Search Algorithm Based on Dynamic Fuzzy Learning Strategy for Large-Scale Optimization. IEEE Access 8: 161593-161611 (2020) - [j9]Rizk Masoud Rizk-Allah, Aboul Ella Hassanien, Adam Slowik:
Multi-objective orthogonal opposition-based crow search algorithm for large-scale multi-objective optimization. Neural Comput. Appl. 32(17): 13715-13746 (2020) - [j8]Walaa Hassan Elashmawi, Ahmed Fouad Ali, Adam Slowik:
An improved Jaya algorithm with a modified swap operator for solving team formation problem. Soft Comput. 24(21): 16627-16641 (2020) - [j7]Adam Slowik, Krzysztof Cpalka, Yaochu Jin:
Introduction to the Special Issue on Nature-Inspired Optimization Methods in Fuzzy Systems. IEEE Trans. Fuzzy Syst. 28(6): 1019-1022 (2020) - [j6]Adam Slowik, Krzysztof Cpalka, Krystian Lapa:
Multipopulation Nature-Inspired Algorithm (MNIA) for the Designing of Interpretable Fuzzy Systems. IEEE Trans. Fuzzy Syst. 28(6): 1125-1139 (2020) - 2019
- [j5]Ali Asghar Rahmani Hosseinabadi, Adam Slowik, Mehdi Sadeghilalimi, Mohammad Farokhzad, Morteza Babazadeh Shareh, Arun Kumar Sangaiah:
An Ameliorative Hybrid Algorithm for Solving the Capacitated Vehicle Routing Problem. IEEE Access 7: 175454-175465 (2019) - [i1]Moustafa Zein, Aboul Ella Hassanien, Ammar Adl, Adam Slowik:
Monkey Optimization System with Active Membranes: A New Meta-heuristic Optimization System. CoRR abs/1910.06283 (2019)
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last updated on 2024-05-10 21:27 CEST by the dblp team
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