As corona virus disease (COVID-19) is still an ongoing global outbreak, countries around the world continue to take precautions and measures control spread of pandemic. Because excessive number infected patients resulting deficiency testing kits in hospitals, a rapid, reliable, automatic detection COVID-19 extreme need curb infections. By analyzing chest X-ray images, novel metaheuristic approach proposed based on hybrid dipper throated particle swarm optimizers. The lung region was...

Soil erosion, the degradation of earth’s surface through removal soil particles, occurs in three phases: dislocation, transport, and deposition. Factors such as type, assembly, infiltration, land cover influence velocity erosion. erosion can result loss some areas deposition others. In this paper, we proposed Random Search-Random Forest (RS-RF) model, which combines random search optimization with algorithm, for prediction. This model helps to better understand predict dynamics, supporting...

This study proposes a novel glaucoma identification system from fundus images through the deep belief network (DBN) optimized by elephant-herding optimization (EHO) algorithm. Initially, input image undergoes preprocessing steps of noise removal and enhancement processes, followed optical disc (OD) cup (OC) segmentation extraction structural, intensity, textural features. Most discriminative features are then selected using ReliefF algorithm passed to DBN for classification into glaucomatous...

The need for cloud storage grows day after due to its reliable and scalable nature. maintenance of user data at a remote location are severe issues the difficulty ensuring privacy confidentiality. Some security within current systems managed by third party (CTP), who may turn into an untrustworthy insider part. This paper presents automated Encryption/Decryption System Cloud Data Storage (AEDS) based on hybrid cryptography algorithms improve ensure confidentiality without interference from...

Abstract Reliance on deep learning techniques has become an important trend in several science domains including biological science, due to its proven efficiency manipulating big data that are often characterized by their non-linear processes and complicated relationships. In this study, Convolutional Neural Networks (CNN) been recruited, as one of the techniques, be used classifying predicting activities essential oil-producing plant/s through chemical compositions. The model is established...

DNA sequence classification is considered a significant challenge for biological researchers to scientifically analyze the enormous volumes of data and discover different features. In genomic research, classifying sequences may help learn new functions protein. Insulin an example protein that human body produces regulate glucose levels. Any mutations in insulin gene would result diabetes mellitus. Diabetes one widely spread chronic diseases, leading severe effects longer term if diagnosis...

Recently, The Egyptian health sector whether it is public or private; utilizes emerging technologies such as data mining, business intelligence, Internet of Things (IoT), among many others to enhance the service and deal with increasing costs growing pressures. However, process mining has not yet been used in organizations, whereas can enable domain experts fields achieve a realistic view problems that are currently happening undertaken field, thus solve it. This paper presents application...

Water is a prime necessity for the survival and sustenance of all living beings. Thus, it very important to maintain water quality balance. Otherwise, would seriously damage health humans severely affect ecological balance among other species. an factor consider, whether ecosystem needs or contamination levels that directly impact health, hygiene, food, economy. In this study, we have utilized Artificial Intelligence as efficient technique predict without resorting traditional analysis...

Improving the performance of e-learning services to provide a scalable and effective system is big challenge for educational organizations. The faces many challenges in pedagogical (e.g. learning design content problems), technical resource provisioning financial cost). This article presents an environment based on cloud computing (PCLE) attempt enhance services' by customizing contents course's material depending students' knowledge, experiences, requirements. Also, focuses supporting...

Throughout the years Machine Learning (ML) has increased a lot of consideration on ordinary products as search, filters, recognition and recently genomics. Various strategies incorporate sophisticated artificial neural system designs are all known applications Deep (DL). These days, deep learning could be current fortifying field machine learning. models have fair been shown prepared for both enhancing data encoding simplicity prescient design execution over elective methodologies. Also...

The rapid spread of using Cloud services has become a source attraction for many business owners due to its multiple potential benefits flexibility and efficiency with variant pricing plans that can be suited all types users. However, there are some vulnerabilities have important influential impact on the Computing efficiency, specially ability achieve availability security customers. In this paper we try find way assessing public frameworks E-learning application from two points view;...

Real-time systems are intensively used nowadays. Scheduling algorithms very important to manage the scheduling of tasks in real-time systems. In this paper we give an overview on techniques for uniprocessors and multiprocessors, then present a comparison between multiprocessor which classified into partitioning global algorithms. The results achieved from have showed that parameters such as makespan, waiting time, missed deadlines task preemptions better performance when using partitioned...

Day after day, the importance of relying on nature in many fields such as food, medical, pharmaceutical industries, and others is increasing. Essential oils (EOs) are considered one most significant natural products for use antimicrobials, antioxidants, antitumorals, anti-inflammatories. Optimizing usage EOs a big challenge faced by scientific researchers because complexity chemical composition every EO, addition to difficulties determine best inhibiting bacterial activity. The goal this...

Cloud Computing is, by nature, multi-tenant, complex, large-scale, and heterogeneous distributed systems. Thus respectively, its processes strategies need to be automated integrated. one of the essential in computing system is negotiating service level agreement which always has elastic flexible handling translating user services' requirements. This paper aims at presenting an SLA negotiation framework based on autonomous agents multi agent systems autonomic features as suitable tools for...

The volatile nature of Cloud user's needs is considered a worthy challenge in formulating the Service Level Agreement (SLA) negotiation. sterility standard SLA templates handling diversity users' requirements motives concept dynamic SLA. Establishing contract mainly based on converting QoS into meaningful Objectives (SLO) during negotiation phase, but case modification these especially run-time, current may be violated and provider resort to terminate re-establish it. This paper presents...

The outbreak of Covid-19 has taken the lives many patients so far. symptoms COVID-19 include muscle pains, loss taste and smell, coughs, fever, sore throat, which can lead to severe cases breathing difficulties, organ failure, death. Thus, early detection virus is very crucial. be detected using clinical tests, making us need know most important symptoms/features that enhance decision process. In this work, we propose a modified multilayer perceptron (MLP) with feature selection (MLPFS)...

Abstract Background Nonalcoholic Steatohepatitis (NASH) results from complex liver conditions involving metabolic, inflammatory, and fibrogenic processes. Despite its burden, there has been a lack of any approved food-and-drug administration therapy up till now. Purpose Utilizing machine learning (ML) algorithms, the study aims to identify reliable potential genes accurately predict treatment response in NASH animal model using biochemical molecular markers retrieved bioinformatics...

Artificial intelligence (AI) including machine learning (ML), and deep (DL) models have become powerful tools for analyzing genomics data in recent years. These can process large amounts of identify complex patterns that may not be apparent through traditional statistical methods. ML DL been used a wide range applications, gene expression analysis, variant detection, drug discovery. One popular approach using is to train these on datasets genomic information. include information levels, DNA...

Recent advances in imaging and computing technology generate tremendous image data daily. Searching collections has been made easier with the introduction of some content-based retrieval (CBIR) approaches. The research area CBIR is currently an active topic. It becoming increasingly important to process store big a parallel distributed manner using CBIR, especially cloud platforms. Cloud provides high amounts computation power that can be accessed at low costs. However, servers are not...