Due to the rapid growth in IT technology, digital data have increased availability, creating novel security threats that need immediate attention. An intrusion detection system (IDS) is most promising solution for preventing malicious intrusions and tracing suspicious network behavioral patterns. Machine learning (ML) methods are widely used IDS. a limited training dataset, an ML-based IDS generates higher false ratio encounters imbalance issues. To deal with data-imbalance issue, this...

Cervical cancer has become the third most common form of in in-universe, after widespread breast cancer. Human papillomavirus risk infection is linked to majority cases. Preventive care, expensive way fighting cancer, can protect about 37% The Pap smear examination a standard screening procedure for initial cervical However, this manual test generates many false-positive outcomes due individual errors. Various researchers have extensively investigated machine learning (ML) methods...

The vast enhancement in the development of Internet Vehicles (IoV) is due to impact distributed emerging technology and topology industrial IoV. It has created a new paradigm, such as security-related resource constraints Industry 5.0. A revolution dimension IoV popup raise various critical challenges existing information preservation, especially node transactions communication, transmission, trust privacy, security-protection-related problems, which have been analyzed. These aspects pose...

The industrial Internet of Things (IIoT) has gained more attention because the self-governing nature system configuration with interoperable application connectivity. In E-healthcare environment, it cooperates medical sensors to capture, examine, analyze, preserve, and document day-to-day transactions patients in real-time. integration IIoT provides an analytical platform handle a large amount data low cost cloud-enabling scalable storage. Throughout transformation, patients' personal...

Polycystic ovary syndrome (PCOS) has been classified as a severe health problem common among women globally. Early detection and treatment of PCOS reduce the possibility long-term complications, such increasing chances developing type 2 diabetes gestational diabetes. Therefore, effective early diagnosis will help healthcare systems to disease’s problems complications. Machine learning (ML) ensemble have recently shown promising results in medical diagnostics. The main goal our research is...

With the evolution of information technology, use internet things has increased. It affects several areas such as medical field, smart cities, and systems. In this work, we will technological development in context health, particularly e-health. We present a platform based on IoMT to allow monitoring patient’s health. To meet constraint secrecy confidentiality information, Blockchain secure system. Our system data collected by sensors blood pressure, SPO2 concentration, EEG signals. These...

The presence of various maize plant leaf diseases has significantly decreased both the quality and quantity crop production. In order to take appropriate steps prevent occurrence diseases, it is essential track recognize such infections during planting period. However, correct recognition numerous difficult achieve because currently employed automated solutions are operationally complicated or only effective on samples with plain backgrounds. While real-world scenarios suffering from huge...

In recent decades, deep-learning dependent fruit disease detection and classification techniques have evinced outstanding results in technologically advanced horticulture investigation. Due to the comparatively limited image processing capabilities of edge computing devices, implementing deep learning methods actual field scenarios is currently difficult. The use intelligent machines contemporary being hampered by these restrictions, which are emerging as a new barrier. this research, we...

With the growing number of cloud users, shared data auditing is becoming increasingly important. However, these schemes have issues with certificate management. Although there a certificate-shared scheme, it ineffective in dealing dynamic and protecting privacy. The verifier cannot access content to ensure integrity due security concerns. This paper proposes novel technique improve control. A enhanced storage retrieval mechanism used performance cloud’s mechanisms achieve this. evaluated...

Cloud computing plays an important role in every IT sector. Many tech giants such as Google, Microsoft, and Facebook deploying their data centres around the world to provide computation storage services. The customers either submit job directly or they take help of brokers for submission jobs cloud centres. preliminary aim is reduce overall power consumption which was ignored early days development. This due performance expectations from servers were supposed all services through layers...

In this work, a slotted wideband eight-element multiple-input multiple-output (MIMO) antenna system is presented, which covers the N77 (3.2–4.2 GHz) frequency band. The MIMO antennas are printed on 0.8-mm-thick FR-4 substrate with dimensions of 150 × 75 mm2. placed along length and width circuit board (PCB). arrangement elements offers pattern polarization diversity, enhancing smartphone's ability to receive signals from various directions. characteristics in range 3.25–4.49 GHz achieved by...

River streamflow is an essential hydrological parameters for optimal water resource management. This study investigates models used to estimate monthly time-series river data at two stations in the USA (Heise and Irwin on Snake River, Idaho). Five diverse types of machine learning (ML) model were tested, support vector machine-radial basis function (SVM-RBF), SVM-Polynomial (SVM-Poly), decision tree (DT), gradient boosting (GB), random forest (RF), long short-term memory (LSTM). These...

Network on chip (NoC) is an integrated communication system (SoC), efficiently connecting various intellectual property (IP) modules a single die. NoC has been suggested as enormously scalable solution to overcome the problems in SoC. The performance of depends several aspects terms area, latency, throughput, and power. In this paper, 2D 3D mesh Virtex-5 field-programmable gate array (FPGA) studied. design carried Xilinx ISE 14.7 behavior model followed based XY XYZ routing for respectively....

This study proposes a novel method for streaming data compression and encoding protocols based on generative adversarial networks (GANs) fuzzy logic. The concept of GAN logic integration creates different prospect as compared to the existing multimedia security protocols. article proposed collaborative model by integrating with It guarantees using secure channel verification platform multimedia-enabled videos. Thus, it defines fuzzy-based weight function controlling frequency current objects...

A C TBreast cancer is one of the foremost reasons death among women in world.It has largest mortality rate compared to types accounting for 1.9 million per year 2020.An early diagnosis may increase survival rates.To this end, automating analysis and allows improve accuracy reduce processing time.However, analyzing breast imagery's non-trivial lead experts' disagreements.In research, we focus on histopathological images acquired using microscopic scan tissues.We present combined two deep...

Heart disease is one of the lethal diseases causing millions fatalities every year. The Internet Medical Things (IoMT) based healthcare effectively enables a reduction in death rate by early diagnosis and detection disease. biomedical data collected using IoMT contains personalized information about patient this has serious privacy concerns. To overcome issues, several protection laws are proposed internationally. These created huge problem for techniques used traditional machine learning....

Abstract The hunger games search (HGS) algorithm is a recently proposed population-based optimization that mimics common phenomenon of animals searching for food due to stimuli and has simple easy-to- understand structure. However, the original HGS still suffers from shortcomings, such as low population diversity tendency fall into local optima. To remedy these an improved HGS, called OCBHGS, proposed, which introduces three main strategies, namely chaotic initialization strategy, Gaussian...