Nanotechnology has gained considerable attention in the present century due to its peculiar properties make it as an effective candidate multidisciplinary fields with numerous applications. Nanoparticles displays characteristic chemical and physical like stability, high thermal electrical conductivity, optical catalytic activity. These made them promising material for applications different space applications, industry, photo imaging, therapy, cosmetics medical nano sensors detection of...

Plant mediated synthesis of nanoparticles is a path breaking approach to fabricate ecologically friendly which can be utilized in various applications. The majority the existing procedures used for rely up on chemical and physical methods, these methods are sometimes harmful potentially dangerous environment living organisms. But green way using plant extract unique, systematic, affordable, environmentally sound method synthesizing with selective specific properties In this article,...

The rapid evolution of IoT environment in medical and industrial applications has led to an increase network vulnerabilities, making intrusion detection system a critical requirement. Existing methods often struggle capturing complex irregular patterns from dynamic data, them not suitable for different applications. To address these limitations, this work proposes STID-Net that integrated customized convolutional kernels spatial feature extraction LSTM layers temporal sequence modelling....

Background and objective: Autoverification (AV) of test results in laboratory forms most important transformative step enhancing efficiency, accuracy, workflow the laboratory. plays a critical role by providing framework for adapting emerging technologies like artificial intelligence, machine learning. The key milestones this journey included development customisable rule based systems, integration with LIS alignment quality standards patient safety. Creating validating these rules are...

Significant threats to the environment and human health arise from contamination of heavy metals, especially in urban industrial locations where conventional remediation methods are costly intrusive.Phytoremediation is a sustainable environmentally beneficial method for removing toxic contaminants different environmental compartments. It uses plant’s innate ability absorb, stabilize, detoxify metals. Some plants hyperaccumulators have high capacity sequestering absorbing lead, making them...

Among most of the cyber attacks that occured, drastic are advanced persistent threats. APTs differ from other as they have multiple phases, often silent for long period time and launched by adamant, well-funded opponents. These targeted mainly concentrated on government agencies organizations in industries, those involved international trade having sensitive data. escape detection antivirus solutions, intrusion prevention systems firewalls. In this paper we proposes a classification model...

Persistent Organic Pollutants (POPs) are poisonous, environmentally harmful, volatile organic pollutants deposited worldwide due to atmospheric cycling. POPs increasingly gaining attention on a global scale because of their persistence. Humans experience endocrine and reproductive issues cancer as result it. The ecological consequences highlight the interdependence ecosystem need for pollution control protect biodiversity ecosystem's health. While several effective management strategies...

LoRaWAN is a protocol for wireless communication related to the Internet of Things (IoT), that belongs Low Power Wide Area Network (LPWAN) family. LoRa technology used long distances at low cost power consumption. This able transfer tiny amounts or few bytes data over network effectively regular time interval. Several previous works focus on performance analysis compared security protocol. v1.1 has been significant development definition and some new security-related features improvements....

Anomaly detection refers to the task of estimating and finding patterns which do not comply with general behavior data. Moreover, a range assumptions are made so as differentiate between normal deviated data instances. This paper describes solution approach this problem using two-step phase including an important preprocessing anomaly phase. For phase, we have used two methods mainly: Recursive Feature Elimination method (RFE) Random Forest Ensemble (RF-Ensemble) method. next detection,...

In the rapidly evolving landscape of mobile security, increasing risk posed by Android malware is a paramount concern. The inherent openness system emphasizes critical need for continuous vigilance and strategic alertness. Packed poses significant challenge in detection analysis, as these deliberate techniques complicate traditional security measures, allowing malicious actors to conceal their intent effectively. This research proposes an automated that integrates static dynamic leveraging...