In this paper, a novel Multi-Objective Hypergraph Particle Swarm Optimization (MOHGPSO) algorithm for structural health monitoring (SHM) systems is considered. This autonomously identifies the most relevant sensor placements in combined fitness function without artificial intervention. The approach utilizes six established Optimal Sensor Placement (OSP) methods to generate Pareto front, which systematically analyzed and archived through Grey Relational Analysis (GRA) Fuzzy Decision Making...

Uplink and Downlink channel estimation in massive Multiple Input Output (MIMO) systems is an intricate issue because of the increasing matrix dimensions. The feedback overhead using traditional codebook schemes very large, which consumes more bandwidth decreases overall system efficiency. purpose this paper to decrease by taking advantage sparse attributes also optimize Energy Efficiency (EE) system. To cope with issue, we propose a novel approach Compressed-Sensing (CS), Block...

The mobile Internet business is rapidly developing, leading to a demand for higher data service rates. To address this, massive Multiple-Input Multiple-Output (MIMO) technology has gained widespread attention due its ability fully exploit spatial degree of freedom and improve spectral efficiency while maintaining high energy efficiency. However, there are challenges with channel estimation in multi-user MIMO systems, such as pilot overhead, accuracy, complexity. tackle these challenges, this...

Software-based technical indicators have been widely used for the stock market forecasting, aiming to predict direction. Even though many algorithms software based are presented, there almost no hardware implementations reported in literature. In this paper, implementation is presented three commonly indicators: Moving Average Convergence/Divergence (MACD), Relative Strength Index (RSI), and Aroon. Latency evaluation conducted Bitcoin Ethereum within a single-day timeframe, utilizing Xilinx...

ABSTRACT This paper introduces a novel ensemble Deep learning (DL)‐based Multi‐Label Retinal Disease Classification (MLRDC) system, known for its high accuracy and efficiency. Utilising stacking approach, integrating DenseNet201, EfficientNetB4, EfficientNetB3 EfficientNetV2S models, exceptional performance in retinal disease classification is achieved. The proposed MLRDC model, leveraging DL as the meta‐model, outperforms individual base detectors, with DenseNet201 achieving an of 96.5%,...

With the rapid development of wireless technologies, access networks have entered their Fifth-Generation (5G) system phase. The heterogeneous and complex nature a 5G system, with its numerous technological scenarios, poses significant challenges to resource management, making radio optimization an important aspect Device-to-Device (D2D) communication in such systems. Cellular D2D can improve spectrum efficiency, increase capacity, reduce base station burdens by sharing authorized cell...

QoS is an arguable feature of Message Queuing Telemetry Transport Protocol (MQTT) that employed under constrained environment for communication over unreliable network in smart cities. It gives extra control to the client matching its needs according application but with confiscated performance. For a reliable end-to-end service assurance, guaranteed and controlled scalability, MQTT based IoT must be examined various parameters. In this work, improved TCP transparent proposed massively...

This paper gives an insight on the performance of mixed dual-hop radio-frequency (RF)-underwater optical wireless communication (UOWC) systems. The system consists multiple-input multiple-output (MIMO) RF hop employing Nakagami- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$m$</tex-math></inline-formula> fading channel source ( notation="LaTeX">$S$</tex-math></inline-formula> ) node communicating with a...

Routing protocols in Mobile Ad Hoc Networks (MANETs) play a pivotal role ensuring quality of service (QoS) and improving network performance. Selection optimal routing protocol suitable parameters for given scenario is major task that ultimately affects the behavior network. This work exploits machine learning (ML) techniques selection adequate by regression to ensure The trained based on parametric setup expanding ring search mechanism (ERS) random early detection (RED) technique estimate...

By leveraging ubiquitous computing and the Internet of Things (IoT), smart cities gain potential to provide a wider range services. Different homogeneous heterogeneous networking schemes applications have been proposed in literature date. In these schemes, human computer are connected for social, economic, physiological, technological growth. However, there is dearth recent that incorporates recently operating techniques technologies capable enhancing productivity machine IoT technologies....

Traditional channel estimation algorithms such as minimum mean square error (MMSE) are widely used in massive multiple-input multiple-output (MIMO) systems, but require a matrix inversion operation and an enormous amount of computations, which result high computational complexity make them impractical to implement. To overcome the problem, we propose computationally efficient hybrid steepest descent Gauss–Seidel (SDGS) joint detection, directly estimates user’s transmitted symbol vector, can...

In this paper, we propose a random access protocol for vehicular-to-infrastructure communications. We consider the case where an unmanned aerial vehicle (UAV) provides assistance to roadside unit enhance system throughput. traditional carrier sense multiple schemes (CSMA), senses channel first and it does not transmit data until is free. However, CSMA has been shown be often wasteful of resources includes potentially unbounded delays in dense networks. use capture effect, collisions can...

Stock market forecasting is one of the most challenging problems in today’s financial markets. According to efficient hypothesis, it almost impossible predict stock with 100% accuracy. However, Machine Learning (ML) methods can improve predictions some extent. In this paper, a novel strategy proposed prediction efficiency ML models for Nine are used direction market. First, these trained and validated using traditional methodology on historic data captured over 1-day time frame. Then,...

Abstract Agricultural plants are the fundamental source of nutrients worldwide. The attack diseases on these leads to food scarcity and results in a catastrophic situation. These can be prevented by using manual or automatic approaches. approach, where plant pathologists inspect fields, is costly, error‐prone, time‐consuming. Alternatively, approaches utilize 2D images processed through machine learning. current study opts for later approach due its advantages terms speed, efficiency,...

Fingerprint recognition is best known and generally used as a biometric technology because of their high acceptability, immutability, uniqueness. A fingerprint consists ridges valleys pattern also furrows. These patterns fully develop in the mother's womb remain constant throughout whole lifetime individual. The ridge bifurcation termination are main minutiae features that extracted for identification individuals system. aim this paper to enhance performance systems using classifiers. To...

The Ad Hoc On-demand Distance Vector (AODV) routing scheme is a widely used technique in ad hoc networks due to its low traffic overhead. However, the performance of minimum hop by AODV degrades significantly when underlying system has routes that have high throughput and count. In this paper, we propose modifications metric route discovery mechanism AODVv2 scheme. modified termed Modified-AODV (M-AODV). Simulation results reveal proposed improves terms key metrics compared with AODV.

Unreliable networks often use excess bandwidth for data integration in smart cities. For this purpose, Messaging Queuing Telemetry Transport (MQTT) with a certain quality of service (QoS) is employed. Data integrity and security are frequently compromised reducing usage while designing integrated applications. Thus, reliable secure Internet Everything (IoE) service, range network parameters conditioned to achieve the required deliverable service. In work, QoS-0-based MQTT developed such...

Acoustic sensors or sensor networks can be efficiently used to spot and observe targets of interest have the ability conclude exact location an object event within network's coverage range. For detection estimation shooter, schemes gunshot localization require one more sensing technologies. In current situation importance counter sniper systems cannot denied. An efficient system that provide immediate shooter will many benefits our security personnel. this paper, Time Difference Of Arrival...

Researchers are showing more and interest in the Vehicular Ad Hoc Networks (VANETs) as it is found most suitable mean for road safety, effective monitoring control of traffic global connectivity at all times desired currently future ahead. VANETs do not face energy resource constraint which makes them larger coverage network life time. However, due to higher vehicle speeds, persistent issues regarding topology arises leading frequent link failures, stale routes, end delay packet loss ratios....

Efficient and Symmetry based precoding plays a key role in wireless communications. In order to improve the transmission performance of multi-user millimeter wave Multiple-Input Multiple-Output (MIMO) (MU-mmWave MIMO) systems, this paper proposes an analog scheme for receiver mmWave MIMO with split sub-array hybrid digital architecture. Then, we propose algorithm on channel reciprocity (APoCR) maximize spectral efficiency by utilizing triple joint optimization problem, which can be divided...