Abstract Several technologies are employed for the synthesis of silver nanoparticles, each technique has advantages and disadvantages, best relies on application at hand, required qualities size product. But in this article green were followed. In research, AgNPs synthesized using Salvia Sclarea leaf extract synthetic routes. The nanoparticles examined UV–vis spectroscopy, powder XRD, SEM, FT-IR. Here three different type biosynthesized, AgNPs-1, AgNPs-2, AgNPs-3 (where composition AgNO 3...

Cerebrovascular diseases such as stroke are among the most common causes of death and disability worldwide preventable treatable. Early detection strokes their rapid intervention play an important role in reducing burden disease improving clinical outcomes. In recent years, machine learning methods have attracted a lot attention they can be used to detect strokes. The aim this study is identify reliable methods, algorithms, features that help medical professionals make informed decisions...

In a wireless sensor network (WSN), node localization is key requirement for many applications. The concept of mobile anchor-based not new concept; however, the anchor nodes gains much attention with advancement in Internet Things (IoT) and electronic industry. this paper, we present range-free algorithm sensors three-dimensional (3D) networks based on flying anchors. nature also suitable vehicle as are using setup similar to vehicle-to-infrastructure- (V2I-) positioning algorithm. A...

Lung cancer is one of the most common causes deaths in modern world. Screening lung nodules essential for early recognition to facilitate treatment that improves rate patient rehabilitation. An increase accuracy during detection vital sustaining persistence, even though several research works have been conducted this domain. Moreover, classical system fails segment cells different sizes accurately and with excellent reliability. This paper proposes a sooty tern optimization algorithm-based...

The Vehicular Ad Hoc Network (VANET) plays a vital role in the development of smart cities, especially ensuring vehicles' safety on roads. However, VANET wireless-based networks face some challenges such as security, stability, communication, and reliability. To resolve these issues, we propose fuzzy cluster head selection scheme Cognitive Radio (CR) VANET, which uses CR technology for spectrum sensing algorithm. In this technology, free spectrums primary user are utilized by secondary users...

VANET is the spontaneous evolving creation of a wireless network, and clustering in these networks challenging task due to rapidly changing topology frequent disconnection networks. The cluster head (CH) stability plays prominent role robustness scalability network. stable CH ensures minimum intra- intercluster communication, thereby reducing overhead. These challenges lead authors search for selection method based on weighted amalgamation four metrics: befit factor, community neighborhood,...

Deep neural networks are efficient methods of recognizing image patterns and have been largely implemented in computer vision applications. Object detection has many applications vision, including face vehicle detection, video surveillance, plant leaf detection. An automatic flower identification system over categories is still challenging due to similarities among classes intraclass variation, so the deep learning model requires more precisely labeled high-quality data. In this proposed...

The potato is a widely grown crop in many regions of the world. In recent decades, farming has gained incredible traction Potatoes are susceptible to several illnesses that stunt their development. This plant seems have significant leaf disease. Early Blight and Late two prevalent diseases affect plants. early detection these would be beneficial for enhancing yield this crop. ideal solution use image processing identify analyze disorders. Here, we present an autonomous method based on...

Abstract Depression in older adults is a significant public health issue with broad impacts on both individuals and society. The multifaceted nature of depression underscores the complexity identifying predicting risk factors, necessitating sophisticated accurate approach based new emerging technologies. Compared to traditional statistical methods, machine learning provides more detailed individualized understanding variables by analyzing large datasets, patterns, building predictive models....

Hepatitis disease is a deadliest disease. The management and diagnosis of hepatitis expensive requires high level human expertise which poses challenges for the health care system in underdeveloped developing countries. Hence, development automated methods accurate prediction inevitable. In this paper, we develop diagnostic hybridizes linear support vector machine (SVM) model with adaptive boosting (AdaBoost) model. We exploit sparsity SVM that caused by <math...

Researchers have proposed several automated diagnostic systems based on machine learning and data mining techniques to predict heart failure. However, researchers not paid close attention predicting cardiac patient mortality. We developed a clinical decision support system for mortality in patients address this problem. The dataset collected the experimental purposes of model consisted 55 features with total 368 samples. found that classes were highly imbalanced. To avoid problem bias model,...

Wireless sensor network (WSN) is an emerging technology that can detect, collect, and transmit information in a specific unknown area environment. It currently playing increasingly important role the fields of national defense, medical health, daily life. WSN node location extremely many applications. The data collected by developed based on known information. one issues WSNs. Location very for wireless sensors. A without meaningless because almost all applications need to know information,...

Wireless power transfer techniques to energy have been widely adopted by wireless rechargeable sensor networks (WRSNs). These are aimed at increasing network lifetime transferring end devices. Under these techniques, the incurred charging latency replenish nodes is considered as one of major issues in (WSNs). Existing recharging schemes rely on rigid schedules recharge a WSN deployment using single global charger. Although charge devices, they not on-demand and incur higher affecting WSN....

Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)based infrastructure, vital part the fourth industrial revolution.Machine-type devices (MTCDs) regularly share extensive data without human intervention while making all types decisions.These decisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeat monitoring, and several different alert systems.Many these simultaneously to form an...

Smart agriculture is a strategy for restructuring and reorganizing agricultural systems to ensure food security in the face of emerging climate change challenges. Diseases cause problems on development yield they're generally tough control. It necessary have precise diagnosis grape leaf diseases preventative measures before time. In order diagnose diseases, this research suggests novel recognition method that based enhanced convolutional neural networks. Firstly; addressed disease types into...

The Internet of Vehicles (IoV) is a networking paradigm related to the intercommunication vehicles using network. In dynamic network, one key challenges in IoV traffic management under increasing avoid congestion. Therefore, optimal path selection route between origin and destination vital. This research proposed realistic strategy reduce service response time by enabling real-time content distribution systems heterogeneous network access. Firstly, this work novel use Ant Colony Optimization...

Mobile sensor network localization is a growing research topic after IEEE 802.15.4 specified the procedure of low-rate wireless personal area networks (LR-WPANs), which further helps localize vehicles in automobile industry. This paper presents new scheme based on flying anchors deployed vehicular infrastructure. The mobile anchor nodes follow random C-shaped trajectory. A global positioning system (GPS) attached to each node, transmitting beacons with ID and location all other network....