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Ibrahiem Mahmoud Mohamed Elhenawy

Faculty Computers and Informatics - Department Computer Science

BSc In , [1973]
MSc In , (), [1976]
(لايوجد)
PhD In , (), [1983]
(لايوجد)

قائم بالعمل

Academic Jobs

معيد : 25/10/1973
Doctor Assisant : 25/2/1978
Doctor : 24/4/1983
Professor Assisant : 27/11/1989
Professor : 14/9/2003
Professor Emeritus : 25/3/2010

Publications

1 - A Review on the Applications of Neutrosophic Sets (2016).

2 - Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization (2017).

3 - Solving 0–1 knapsack problem by binary flower pollination algorithm (2018).

4 - A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem (2018).

5 - A modified flower pollination algorithm for the multidimensional knapsack problem: human-centric decision making (2017).

6 - A novel whale optimization algorithm for cryptanalysis in Merkle-Hellman cryptosystem (2018).

7 - A novel whale optimization algorithm for cryptanalysis in Merkle-Hellman cryptosystem (2018).

8 - A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection (2019).

9 - Arabic ‎text clustering using improved clustering algorithms with dimensionality reduction‎ (2019).

10 - EGBIOIMAGE: A Software Tool for Gel Images Analysis and Hierarchical Clustering (2020).

11 - A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection (2020).

12 - Deep Learning Model for Fine-Grained Aspect-Based Opinion Mining (2020).

13 - 2-Levels of clustering strategy to detect and locate copy-move forgery in digital images (2020).

14 - Neutrosophic Sets Integrated with Metaheuristic Algorithms: A survey (2021).

15 - Scalable Clustering Algorithms for Big data: A Review (2021).

16 - BERT-CNN: A Deep Learning Model for Detecting Emotions from Text (2021).

17 - Determining Extractive Summary for a Single Document Based on Collaborative Filtering Frequency Prediction and Mean Shift Clustering (2019).

18 - FR-Tree: A novel rare association rule for big data problem (2022).

19 - New multi-criteria decision-making technique based on neutrosophic axiomatic design (2022).

20 - A practical evaluation of correlation filter-based object trackers with new features (2022).

21 - A trust framework utilization in cloud computing environment based on multi-criteria decision-making methods (2021).

22 - Improving crisis events detection using distilbert with hunger games search algorithm (2022).

23 - A Multi-Objective Optimization for Supply Chain Management using Artificial Intelligence (AI) (2022).

24 - FR-Tree: A novel rare association rule for big data problem (2022).

25 - Applying apache spark on streaming big data for health status prediction (2022).

26 - Price Prediction of Seasonal Items Using Machine Learning and Statistical Methods (2021).

27 - DEVELOPING BIOINFORMATICS TOOLBOX FOR ANALYZING BIOLOGICAL DATA (2024).

28 - Metaheuristic for Solving Global Optimization Problems (2024).

29 - EEG emotion recognition framework based on invariant wavelet scattering convolution network (2024).

Research Area