Cancer is a deadly disease caused by various biochemical abnormalities and genetic diseases. Colon lung cancer have developed as two major causes of disability death in human beings. The histopathological detection these malignancies vital element determining the optimal solution. Timely initial diagnosis sickness on either front diminishes possibility death. Deep learning (DL) machine (ML) methods are used to hasten such recognition, allowing research community examine more patients much...

A cyber-physical system (CPS) can be referred to as a network of cyber and physical components that communicate with each other in feedback manner. CPS is essential for daily activities approves critical infrastructure it provides the base innovative smart devices. The recent advances field explainable artificial intelligence have contributed development robust intrusion detection modes environments. This study develops an Explainable Artificial Intelligence Enabled Intrusion Detection...

Currently, remote sensing images (RSIs) are often exploited in the explanation of urban and rural areas, change recognition, other domains. As majority RSI is high-resolution contains wide varied data, proper interpretation RSIs most important. Land use land cover (LULC) classification utilizing deep learning (DL) a common efficient manner geospatial study. It very important planning, environmental monitoring, mapping, management. But, one recent approaches problems like vulnerability to...

Sixth generation (6G)-enabled smart cities with intelligent reconfigurable surfaces (IRSs), unmanned aerial vehicles (UAVs), and non-orthogonal multiple access (NOMA) technologies have the potential to transform consumer electronics through ultra-fast wireless connectivity, effective resource utilization, urban services. This paper presents a new optimization scheme in NOMA multi-UAV (M-UAV) networks by utilizing IRSs. The proposed focuses on ground user equipment (GUE) UAV association,...

Lung cancer is the main cause of deaths all over world. An important reason for these was late analysis and worse prediction. With accelerated improvement deep learning (DL) approaches, DL can be effectively widely executed several real-world applications in healthcare systems, like medical image interpretation disease analysis. Medical imaging devices vital primary-stage lung tumor observation tumors from treatment. Many modalities computed tomography (CT), chest X-ray (CXR), molecular...

Recently, artificial intelligence (AI) including machine learning (ML) and deep (DL) models has been commonly employed for the automated disease diagnosis process. AI in biological biomedical imaging is an emerging area will be a future trend field. At same time, images can used classification of Rheumatoid arthritis (RA) diseases. RA autoimmune illness that affects musculoskeletal system causing systemic, inflammatory chronic effects. The frequently becomes progressive decreases physical...

Intelligent Transportation System (ITS) is one of the revolutionary technologies in smart cities that helps reducing traffic congestion and enhancing quality. With help big data communication technologies, ITS offers real-time investigation highly-effective management. Traffic Flow Prediction (TFP) a vital element city management used to forecast upcoming conditions on transportation network based past data. Neural Network (NN) Machine Learning (ML) models are widely utilized resolving...

Cyberattack detection has become an important research domain owing to increasing number of cybercrimes in recent years. Both Machine Learning (ML) and Deep (DL) classification models are useful effective identification cyberattacks. In addition, the involvement hyper parameters DL a significantly influence upon overall performance models. this background, current study develops Intelligent Cybersecurity Classification using Chaos Game Optimization with (ICC-CGODL) Model. The goal proposed...

Floods are one of the most severe and frequent natural calamities. It causes enormous economic damage even leads to higher mortality rates. Studies on detection roads using artificial intelligence (AI) methods gained more attention currently, especially in development smart cities. Therefore, this study designs an optimal Fuzzy Wavelet Neural Network based Road Damage Detection (OFWNN-RDD) technique for Flooding Management. The OFWNN-RDD aims exploit remote sensing images classify different...

Liver cancer ranks among the leading global causes of death.The process detecting liver tumours from computerized tomography (CT) images is crucial for detection and management cancer.It takes a significant amount time effort to physically identify tissue.So, in order accurately right therapy, computer-aided diagnostic utilised decisionmaking process.As result, primary goal this work properly categorise using deep learning technique.The volumetric data 1800 Computerized Tomography were taken...

Recently, bioinformatics and computational biology-enabled applications such as gene expression analysis, cellular restoration, medical image processing, protein structure examination, data classification utilize fuzzy systems in offering effective solutions decisions. The latest developments of with artificial intelligence techniques enable to design the microarray models. In this aspect, study introduces a novel feature subset selection optimal adaptive neuro-fuzzy inference system...

Short-term traffic flow prediction (TFP) is an important area in intelligent transportation system (ITS), which used to reduce congestion. But the avail of data with temporal features and periodic are susceptible weather conditions, making TFP a challenging issue. process significantly influenced by several factors like accident weather. Particularly, inclement conditions may have extreme impact on travel time flow. Since most existing techniques do not consider TF, it needed develop...

The number of elderly and disabled people worldwide has increased their day-to-day activities depend on others' help.Improving the quality life these become most important responsibility society it is role technology specialists to make as normal possible easy so that they can do at right time without othersʼ help.Many researchers have proposed several solutions, but limitations such poor performance usability.In this paper, we propose a smart wirelessbased wheelchair system completely...

With the rapid development of Internet technology, users have an increasing demand for data. The continuous popularization traffic-intensive applications such as high-definition video, 3D visualization, and cloud computing has promoted evolution communications industry. In order to cope with huge traffic today's users, 5G networks must be fast, flexible, reliable sustainable. Based on these research backgrounds, academic community proposed D2D communication. main feature communication is...

COVID'19 has caused the entire universe to be in existential health crisis by spreading globally year 2020. The lungs infection is detected Computed Tomography (CT) images which provide best way increase existing healthcare schemes preventing deadly virus. Nevertheless, separating infected areas CT faces various issues such as low-intensity difference among normal and infectious tissue high changes characteristics of infection. To resolve these issues, a new inf-Net (Lung Infection...

Polyhydroxyalkanoates (PHA) are polyesters of various hydroxyl alkanoates that synthesized by many gram-positive and gramnegative bacteria from about 75 different genera. PHA genes database is a repository its genomic information related to PHA.It contains data on the characterization intermediates PHA. These include CAB genes, responsible for biodegradable plastic synthesis. The provides archaeal, bacterial eukaryotic genomes.

Elliptic curve cryptography ensures more safety and reliability than other public key cryptosystems of the same size. In recent years, use elliptic curves in public-key has increased due to their complexity reliability. Different kinds substitution boxes are proposed address process cryptosystems, including dynamical, static, curve-based methods. Conventionally, S-boxes based on prime field but this manuscript; we propose a new technique generating mordell over Galois . This affords higher...

Renewable energy is one of the essential elements social and economic development in any civilized country. The use fossil fuels non-renewable form has many adverse effects on most ecosystems. Given high potential renewable sources Yemen absence similar studies region, this study aimed to examine wind Hodeidah-Yemen Republic by analyzing characteristics assessment, determining available power density, calculate extracted at different heights. average speed Hodeidah was obtained only for data...

The adoption and recent development of Unmanned Aerial Vehicles (UAVs) are because their widespread applications in the private public sectors, from logistics to environment monitoring. incorporation 5G technologies, satellites, UAVs has provoked telecommunication networks advance provide more stable high-quality services remote areas. However, vulnerable cyberattacks rapidly expanding volume poor inbuilt security. Cyber security detection cyber threats might considerably benefit artificial...

The increasing use of fossil fuels has a significant impact on the environment and ecosystem, which increases rate pollution. Given high potential renewable energy sources in Yemen other Arabic countries, absence similar studies region. This study aims to examine wind Mokha was done by analyzing evaluating properties, determining available density, calculating extracted at different altitudes, then computing capacity factor for few turbines best. Weibull speed verified as closest average...