COVID-19 has affected all peoples' lives. Though is on the rising, existence of misinformation about virus also grows in parallel. Additionally, spread created confusion among people, caused disturbances society, and even led to deaths. Social media central our daily The Internet become a significant source knowledge. Owing widespread damage by fake news, it important build computerized systems detect news. paper proposes an updated deep neural network for identification false learning...

The elephant herding optimization (EHO) algorithm is a relatively novel population-based technique, which mimics behavior and can be modeled into two operators: clan updating operators separating operators. Also, in the literature, EHO has received great deal of attention from researchers since it was proposed applied to many application fields for its advantages excellent global ability ease implementation. However, there still an insufficiency regarding lack exploitation, leads slow...

The rapid development of tools for communication such as social networks, tweeting and Whatsapp has generated a large mass important textual data. Also, the COVID-19 pandemic inflamed hence automatic analysis opinions become paramount. purpose this paper is to analyze Arabic tweets in terms positivity, negativity, or neutrality.In analyzing language, real challenge encountered, which lies use different dialects (Egyptian, Saudian, Maghrebian, Gulfian, Levantine, Syrian ⋯). In paper, we...

Deep learning architectures, especially deep convolutional neural networks (CNN) achieve high accuracy on object classification and localization tasks. Achieving such requires powerful devices. In this paper, rather than an ensemble of multiple complex models, a single Inception-v4 model is adapted to classify extracted from the HAM10000 dataset. The proposed enhanced by employing feature reuse using long residual connection in which features earlier layers are concatenated with high-level...

Feature selection (FS) is applied to reduce data dimensions while retaining much information. Many optimization methods have been enhance the efficiency of FS algorithms. These approaches processing time and improve accuracy learning models. In this paper, a developed method called MPAO based on marine predators algorithm (MPA) “narrowed exploration” strategy Aquila optimizer (AO) proposed handle FS, global optimization, engineering problems. This modification enhances exploration behavior...

Feature selection (FS) is a vital and challenging process in many domains, including data mining, clustering, text education, biology, medicine, public health, machine learning, image processing, others. The greedy comprehensive algorithm methods cannot identify the best subset amid rising number of features. Thus, swarm-based algorithms are becoming more popular for identifying group This study relies on spiral-updated position Whale Optimization Algorithm (WOA) to propose an improved...

Ongoing importance remains placed on parameter estimation in photovoltaic (PV) system design and simulation. Among the diode-based models utilized frequently are those consisting of a single diode, double three diode. Minimizing discrepancy between calculated measured values is often primary aim when estimating parameters for these models. In recent years, conventional PV has been approached using various numerical, analytical, hybrid techniques. However, methods could be made more complex...

There are several types of cancer; each is classified by the type cells that affected. Leukemia a kind cancer caused excessive production leukocytes replaces normal blood cells. According to growth speed overproduction leukemic cells, they can be into four major types. This work focuses only on Acute Lymphoblastic (ALL), which also called childhood leukemia. The main goal this classify lymphoblastic leukemia or proposed approach starts identifying and segmenting cell then extracting features...

Egyptian monuments have too many features and information to investigate. Working on in Egypt, which is one of the most remarkable industry, would surely a huge impact economy development. Any culture, general, unique when it comes different monuments, writing, music. Examining techniques recognize these not easy be done especially concerning history stories behind each monument. Monument Recognition challenging process field image recognition classification. Many obstacles tackled since...

One of the most widely used biometric approaches is face recognition. Face recognition in many Fields. these fields mobile devices authentication. While number device users increasing year after year, need for security also gaining ground. However, can be easily attacked by a malicious spoofing. That intended to deceive system facial pictures obtained from images or videos. Other cheaters show mask an authorized person fool camera into real person. Liveness detection important research topic...

Purpose The purpose of this paper is to propose an enhanced elephant herding optimization (EEHO) algorithm by improving the exploration phase overcome fast-unjustified convergence toward origin native EHO. and exploitation proposed EEHO are achieved updating both clan separation operators. Design/methodology/approach original EHO shows fast unjustified specifically, a constant function used as benchmark for inspecting biased evolutionary algorithms. Furthermore, star discrepancy measure...

This paper presents an approach based on Artificial Bee Colony (ABC) to optimize the parameters of membership functions Sugeno Adaptive Neuro-Fuzzy Inference System (ANFIS).The optimization is achieved by for sake achieving minimum Root Mean Square Error ANFIS structure.The proposed ANFIS-ABC model used build a system predicting wind speed.To ensure accuracy model, different number has been used.The experimental results indicates that best 98% with ten and least value RMSE which 0.39.

Recently, the automatic process of Arabic opinion mining (AOM) attracts intention scientific researchers, especially with real challenges arabic language as dialectal language, Arabizi format, which combine multilingual forms. The prepossessing aims to realize a filtering operation on text, then TF-IDF is applied in order transform text numerical vector. main drawback arises dimensionality. Thus, feature selection plays vital role for selecting relevant words using swarm intelligence...

Intellectual property rights are the legal that protect creations of an owner's mind, such as inventions, artistic works, and designs. Designers play a crucial role in creative industry, intellectual ensure their designs protected from infringement by others. As such, designers can control how used monetized. In this paper, we have introduced styles visual recommendation system detects similar style three professional domains: artworks, clothes, logos. The VGG (visual Geometry Group)...

Since Egypt is the cradle of civilizations, it contains many monuments and historical places. Tourist guides need help machine learning techniques to aid foreigners in getting know Egypt's great history. This paper introduces a system recognize provides detailed description. A significant challenge tackled this paper, which recognizing cropped monuments. When tourist captures monument image real life, may be occluded by an object. The human brain fills blanks completes automatically. Our...

As a matter of fact, the textural features extracted from medical images have physical meaning. Some them express contrast, uniformity, homogeneity, distortion and suavity image. The idea information digging for finding associations among these in retina is introduced. proposed technique works three stages. In first stage, Gray Level Co-event Matrix (GLCM) are averaged 0°, 45°, 90° 135° directions. second feature selection adopted using relief algorithm to choose most relevant discretize...