The exponential advancements in recent technologies for surveillance become an important part of life. Though the internet things (IoT) has gained more attention to develop smart infrastructure, it also provides a large attack surface intruders. Therefore, requires identifying attacks as soon possible provide secure environment. In this work, network intrusion detection system, by applying ensemble model (NIDSE) Smart Homes is designed identify home devices. problem classifying considered...

Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of new attractive offers, the considerable issue customer churn was faced by telecommunication industry. Thus, an efficient Churn Prediction (CP) model is required for monitoring churn. Therefore, this work proposes a novel framework predict through deep learning namely Swish Recurrent Neural Network (S-RNN). Finally, SRNN adapted classify Customer (CC) and normal customer. If result customer, network...

This study investigates the potentially revolutionary role that Internet of Things (IoT) may play in combating urgent ocean pollution problem and promoting growth ecologically sound marine ecosystems. An approach is data-driven has become essential light fact poses a risk to delicate balance life puts future seas jeopardy. The user can get real-time data on water quality, pollutant levels, plastic trash dispersion if installs sensors devices IoT enables. will allow us gain greater knowledge...

The usage of a solar-powered buck converter within low-power Internet Things (IoT) system is suggested. goal to use solar energy power IoT devices, which often utilize extremely small batteries and need be aware their impact on the environment. uses PV panels gather sunlight, then control enhance required voltage. Maximum point tracking (MPPT) pulse width modulation (PWM) are examples strategies used improve efficiency provide reliable voltage regulation. By continually modifying PWM...

Distributed systems cannot achieve consistency, availability, and partition tolerance, according to Brewer's Rule (CAP theorem). affects distributed data warehouses. improves warehouse architecture, this study. Database research reliability, accessibility, tolerance for partitions. Consistency—the condition that all system nodes access the same simultaneously—is examined. transactions, two-phase commit, consensus methods let warehouses consistency. A must be available even if some fail,...

Abstract Background The functional impact of m 6 A modifications on RNA is governed by reader proteins that read the marks and process accordingly. Recent studies have highlighted importance in heart. However, function a protein Ythdf3 heart remains completely unknown. Objective We aim to uncover hearts. Methods& Results Here, we show indispensable for heart, its knockdown leads cardiac cachexia evident cardiomyocyte atrophy, death, less dense myofibrils visualized electron microscopy....

Background: The role of AI-based predictive analytics in general surgery. use artificial intelligence (AI) tools surgical environments is influenced by several factors including perceived usefulness, usability, and trust between professionals. This study focused on the core acceptance intelligence-24 surgery with technology model (TAM). Methods: A cross-sectional quantitative survey was conducted 273 healthcare providers (general surgeons, residents, anesthesiologists, operating room nurses,...

The three-dimensional analysis on lung computed tomography scan was carried out in this study to detect the malignant nodules. An automatic segmentation algorithm proposed here efficiently segmented tissue clusters (nodules) inside lung. However, an morphological region-grow that implemented segment well-circumscribed nodules present did not juxta-pleural nodule inner surface of wall A novel edge bridge and fill technique is article pleural-tail accurately. centroid shift each candidate...

One-way road networks can be designed with the aid of computer program. However, use genetic algorithm in such design is new. This research paper presents a new approach to search out and determine appropriate travel directions for one-way network. The main objective minimise total distance travelled by vehicles. To calculate distance, branch-and-bound technique breadth-first applied shortest path between start points end points. Results demonstrate that successfully network case studies. In...

This paper presents high frequency cable modelling and analysis of cable. Advantages dodecagonal space vector switching two-level inverters are achieved with a constant input DC supply. An improved high-frequency power is connected between the drive induction motor to measure harmonic distortion reflected overshoot voltage at terminal. The results have confirmed that present method has very time domain. model used predict effect long cables for any pulse width modulation technique (SWPWM),...

Image segmentation is the process of partitioning digital image into many quarters or pixels. It very important to build a mathematical model segment out area interest than using complex techniques. Markov Random Field (MRF) tool which reducing tough procedure as well simplifies handling The aim this paper cancer affected region input mammogram Fields probabilistic measure. goal technique simplify give meaningful representation image. pectoral muscle always mimics tumor identified from...

The IoT technology advancement and wearable devices, the healthcare industry is shifting ahead to a brighter future. In this paper, we present Wi-Fi battery powered system monitor patient's Bio signal from anywhere at any time through an IP based network. unique as it composed of 2 or/and 8 channel electrodes measure ECG EMG signals with sampling frequency fixed 1 KHz, analog front-end (AFE) compliant IEEE 802.11 standard, microcontroller for data processing transmission, power management...

Accurate and effective breast cancer diagnosis is crucial for early rehabilitation treatment in the IoT medical environment. Life has changed dramatically Internet of Things over past few years as a result development artificial intelligence data mining technologies, which offer methods analyzing both current data. In this study, we present an IoT-based system that can successfully discriminate malignant individuals from positive environment to address challenge detection. An innovative...

CMOS technology miniaturization limits have provided new alternative technologies, Quantum cellular automata (QCA) is a in nanometer scale as one of the alternatives, QCA has large potential terms high space density and power dissipation with development faster computers lower consumption. This paper proposes use Hopfield neural network design simple cells study device level uncertainties like stable polarization at output cell, near to ground state configuration cells. helpful synthesize...

In this paper, we propose a non-invasive method to detect glaucoma eye disease at the earlier stage from aqueous humor (AH) fluid's biomagnetic signal in anterior chamber of eye. The AH fluid has emission because magnetic material, such as sodium, potassium, chloride, bicarbonate, and protein. At present, diagnosis was done later undetectable microvariation fundus image cup disc size ratio measurement similar symptoms vision problem. proposed method, can be detected through acquisition giant...

Quantum cellular automata technology (QCA) is one of the promising nanotechnologies in future due to prospects extremely low power operation and reduction interconnections. This paper discuss about energy flow equations, calculation dissipation for elementary QCA circuits. The upper bound model Cell from its equations can be used calculate gain Circuits. find error information a circuit. Hence majority gate, invertors, multiplexer OR – serial array circuits are studied estimated. It was...

Research in cognitive radio networks aims at maximized spectrum utilization by giving access to increased users with the help of dynamic allocation policy. The unknown and rapid nature environment makes decision making optimized resource be a challenging one. In order support allocation, intelligence is needed incorporated system study parameters, internal state, operating behaviour based on which decisions need made for under-utilized spectrum. A novel priority-based reserved method...

In this paper we are going to discuss and analyze the different methods which developed detect Lung nodules cause lung cancer. At end of analyzing methods, new methodology detecting using Spline Wavelet technique has been proposed in paper. Continuous modeling data often required medical imaging, Polynomial Splines especially useful consider image as continuum rather than discrete array pixels. The multi resolution property makes them prime candidates for constructing wavelet bases. tool...

Cognitive radio technology are highly shows the non-reliance property to signal noise ratio due its covariance nature of spectrum sensing. But using T-W distribution with minimum eigen value and does not depend on power. In this paper proposed algorithm power meanwhile depends eigne value. Minimum causes detection much easier thereby performance improvement better in lower area ratio. While adapting technique achievement low smoothening effect SNR Ranges. So is achieved concentrating only...

Abstract Cognitive Radio network (CRN) depends on opportunistic spectrum access and sensing for improving the wireless networks’ efficiency. Since throughput maximization can result in high-energy consumption, technique should address energy-throughput trade-off. The time has to be determined by considering residual battery energies of each secondary user (SU). primary (PU) interference degrades entire network. Hence, transmit power level PU SU energy. This paper proposes multi-objective...