Search Results - "Ewees, Ahmed A."

Automatic clustering method to segment COVID-19 CT images by Abd Elaziz, Mohamed, A A Al-Qaness, Mohammed, Abo Zaid, Esraa Osama, Lu, Songfeng, Ali Ibrahim, Rehab, A Ewees, Ahmed

“…Coronavirus pandemic (COVID-19) has infected more than ten million persons worldwide. Therefore, researchers are trying to address various aspects that may…”
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Optimization Method for Forecasting Confirmed Cases of COVID-19 in China by Al-Qaness, Mohammed A A, Ewees, Ahmed A, Fan, Hong, Abd El Aziz, Mohamed

“…In December 2019, a novel coronavirus, called COVID-19, was discovered in Wuhan, China, and has spread to different cities in China as well as to 24 other…”
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Wind Power Forecasting Using Optimized Dendritic Neural Model Based on Seagull Optimization Algorithm and Aquila Optimizer by Al-qaness, Mohammed A. A., Ewees, Ahmed A., Abd Elaziz, Mohamed Abd, Samak, Ahmed H.

“…It is necessary to study different aspects of renewable energy generation, including wind energy. Wind power is one of the most important green and renewable…”
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Bone metastasis detection method based on improving golden jackal optimization using whale optimization algorithm by Magdy, Omnia, Abd Elaziz, Mohamed, Elgarayhi, Ahmed, Ewees, Ahmed A., Sallah, Mohammed

“…This paper presents a machine learning-based technique for interpreting bone scintigraphy images, focusing on feature extraction and introducing a new feature…”
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Solving Optimization Problems Using an Extended Gradient-Based Optimizer by Ewees, Ahmed A.

“…This paper proposes an improved method for solving diverse optimization problems called EGBO. The EGBO stands for the extended gradient-based optimizer, which…”
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Discrete fractional-order Caputo method to overcome trapping in local optima: Manta Ray Foraging Optimizer as a case study by Yousri, Dalia, AbdelAty, Amr M., Al-qaness, Mohammed A.A., Ewees, Ahmed A., Radwan, Ahmed G., Abd Elaziz, Mohamed

“…Enhancing the exploration and exploitation phases of the metaheuristic (MH) optimization algorithms is the key to avoiding local optima. The Manta ray foraging…”
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Bone scintigraphy based on deep learning model and modified growth optimizer by Magdy, Omnia, Elaziz, Mohamed Abd, Dahou, Abdelghani, Ewees, Ahmed A., Elgarayhi, Ahmed, Sallah, Mohammed

“…Bone scintigraphy is recognized as an efficient diagnostic method for whole-body screening for bone metastases. At the moment, whole-body bone scan image…”
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Modified aquila optimizer for forecasting oil production by Al-qaness, Mohammed A. A., Ewees, Ahmed A., Fan, Hong, AlRassas, Ayman Mutahar, Abd Elaziz, Mohamed

“…Oil production estimation plays a critical role in economic plans for local governments and organizations. Therefore, many studies applied different Artificial…”
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Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey by Al-Qaness, Mohammed A A, Abd Elaziz, Mohamed, Kim, Sunghwan, Ewees, Ahmed A, Abbasi, Aaqif Afzaal, Alhaj, Yousif A, Hawbani, Ammar

“…Human motion detection and activity recognition are becoming vital for the applications in smart homes. Traditional Human Activity Recognition (HAR) mechanisms…”
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An Improved Marine Predators Algorithm With Fuzzy Entropy for Multi-Level Thresholding: Real World Example of COVID-19 CT Image Segmentation by Elaziz, Mohamed Abd, Ewees, Ahmed A., Yousri, Dalia, Alwerfali, Husein S. Naji, Awad, Qamar A., Lu, Songfeng, Al-Qaness, Mohammed A. A.

“…Medical imaging techniques play a critical role in diagnosing diseases and patient healthcare. They help in treatment, diagnosis, and early detection. Image…”
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Improved Artificial Bee Colony Using Sine-Cosine Algorithm for Multi-Level Thresholding Image Segmentation by Ewees, Ahmed A., Abd Elaziz, Mohamed, Al-Qaness, Mohammed A. A., Khalil, Hassan A., Kim, Sunghwan

“…Multilevel-thresholding is an efficient method used in image segmentation. This paper presents a hybrid meta-heuristic approach for multi-level thresholding…”
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An Electric Fish-Based Arithmetic Optimization Algorithm for Feature Selection by Ibrahim, Rehab Ali, Abualigah, Laith, Ewees, Ahmed A., Al-qaness, Mohammed A. A., Yousri, Dalia, Alshathri, Samah, Abd Elaziz, Mohamed

“…With the widespread use of intelligent information systems, a massive amount of data with lots of irrelevant, noisy, and redundant features are collected;…”
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MTV-MFO: Multi-Trial Vector-Based Moth-Flame Optimization Algorithm by Nadimi-Shahraki, Mohammad H., Taghian, Shokooh, Mirjalili, Seyedali, Ewees, Ahmed A., Abualigah, Laith, Abd Elaziz, Mohamed

“…The moth-flame optimization (MFO) algorithm is an effective nature-inspired algorithm based on the chemical effect of light on moths as an animal with…”
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Metaheuristic optimization algorithms hybridized with artificial intelligence model for soil temperature prediction: Novel model by Penghui, Liu, Ewees, Ahmed A., Beyaztas, Beste Hamiye, Qi, ChongChong, Salih, Sinan Q., Al-Ansari, Nadhir, Bhagat, Suraj Kumar, Yaseen, Zaher Mundher, Singh, Vijay P.

“…An enhanced hybrid artificial intelligence model was developed for soil temperature (ST) prediction. Among several soil characteristics, soil temperature is…”
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Improved Adaptive Neuro-Fuzzy Inference System Using Gray Wolf Optimization: A Case Study in Predicting Biochar Yield by Ewees, Ahmed A., Elaziz, Mohamed Abd

“…This paper presents an alternative method for predicting biochar yields from biomass thermochemical processes. As biochar is considered a renewable and…”
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Grasshopper Optimization Algorithm With Crossover Operators for Feature Selection and Solving Engineering Problems by Ewees, Ahmed A., Gaheen, Marwa A., Yaseen, Zaher Mundher, Ghoniem, Rania M.

“…Feature selection (FS) is an irreplaceable phase that makes data mining more efficient. It effectively enhances the implementation and decreases the…”
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Evaluating the Applications of Dendritic Neuron Model with Metaheuristic Optimization Algorithms for Crude-Oil-Production Forecasting by Al-qaness, Mohammed A. A., Ewees, Ahmed A., Abualigah, Laith, AlRassas, Ayman Mutahar, Thanh, Hung Vo, Abd Elaziz, Mohamed

“…The forecasting and prediction of crude oil are necessary in enabling governments to compile their economic plans. Artificial neural networks (ANN) have been…”
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Boosting Arithmetic Optimization Algorithm with Genetic Algorithm Operators for Feature Selection: Case Study on Cox Proportional Hazards Model by Ewees, Ahmed A., Al-qaness, Mohammed A. A., Abualigah, Laith, Oliva, Diego, Algamal, Zakariya Yahya, Anter, Ahmed M., Ali Ibrahim, Rehab, Ghoniem, Rania M., Abd Elaziz, Mohamed

“…Feature selection is a well-known prepossessing procedure, and it is considered a challenging problem in many domains, such as data mining, text mining,…”
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Multi-Modal Evolutionary Deep Learning Model for Ovarian Cancer Diagnosis by Ghoniem, Rania M., Algarni, Abeer D., Refky, Basel, Ewees, Ahmed A.

“…Ovarian cancer (OC) is a common reason for mortality among women. Deep learning has recently proven better performance in predicting OC stages and subtypes…”
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Wild Horse Optimizer-Based Spiral Updating for Feature Selection by Ewees, Ahmed A., Ismail, Fatma H., Ghoniem, Rania M.

“…Feature selection (FS) is a vital and challenging process in several domains, including data mining, data clustering, text mining, education, biology,…”
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