Industrial Wireless Sensor Networks (WSNs) are becoming increasingly popular due to their enhanced scalability and low cost of deployment. However, they also present new challenges, such as energy optimization network maintenance, which industrial users must address. In order meet the Machine Learning techniques have been used create an model for WSNs. This utilizes knowledge-based learning identify optimize consumption nodes, allowing WSNs consume least amount given tasks. addition,...

In hostile and remote environments, such as mountains, forests or suburban areas, traditional communications may not be available, especially after a disaster, flood, forest fire an earthquake. these situations, the wireless networks become congested completely disrupted adequate to support traffic generated by rescuers. It is also considered key tool in Corona Virus (COVID-19) battle. Moreover, conventional approaches with fixed gateways work either, this might lead decoding errors due...

Spectrum sensing is a critical component of cognitive radio systems, enabling the detection and utilization underutilized frequency bands. Convolutional neural networks (CNNs) recurrent (RNNs), in particular, have showed promise recent years for enhancing precision effectiveness spectrum sensing. This paper presents an overview using CNNs RNNs their performance systems. Furthermore, delves into RNNs, particularly processing time-series data. are capable capturing temporal dependencies...

Smart Hospital will play a key role in improving the quality of services (QoS) related to health sector. In present scenario, it is impossible accommodate an ageing population with current infrastructure and facilities provided by conventional hospitals. However, integration technologies hospital enhancing medical also making easier for public, who can save time money getting all necessary while sitting at home. The deployment fifth generation (5G) taking place over world. 5G network offers...

This paper presents a compact 5G wideband antenna designed for body-centric networks (BCN. The single element design includes simple T-shaped radiator patch with ring shaped ground plane and transformer impedance feedline. First, the was simulated in free-space, its resonant frequency is found to be 27 GHz, falling within 5G’s n261 band. proposed has size of 23.375 mm 3 , it offers wide bandwidth 2.0 GHz (26–28 GHz). Parametric studies demonstrated that by increasing length slots patch, can...

<abstract> <p>The cyclostationary spectrum (CS) method is one of the best at what it does because effectively detects idle with low signal-to-noise ratios (SNR). In order to distinguish signal in a noisy environment, gather more data that aids better analysis signals, and use spectral correlation for dependable framework modelling, CS achieves optimal performance characteristics. High intricacy seen as CS's shortcomings. this article, we suggest novel algorithm 5G waveforms. By...

The sudden increase in patients with severe COVID-19 has obliged doctors to make admissions intensive care units (ICUs) health practices where capacity is exceeded by the demand. To help difficult triage decisions, we proposed an integration system Xtreme Gradient Boosting (XGBoost) classifier and Analytic Hierarchy Process (AHP) assist authorities identifying patients' priorities be admitted into ICUs according findings of biological laboratory investigation for COVID-19. was used decide...

Recent studies have shown the potential of Data-Efficient Image Transformer (DeiT)-based transfer learning method in speech/image recognition and classification utilizing models pre-trained on image datasets. However, use DeiT models, especially those datasets, has not yet been explored for Valvular Heart Disease (VHD) detection. This paper proposes a methodology using model datasets VHD classification. Additionally, we introduce hybrid Convolution-DeiT (Conv-DeiT) architecture to further...

Counting fetal movements is essential for assessing health, but manually recording these can be challenging and inconvenient pregnant women. This study presents a wearable device designed to detect across various settings, both within outside medical facilities. The integrates accelerometer gyroscope sensors with Internet of Things (IoT) technology accurately differentiate between non-fetal movements. Data were collected from 35 women at Suranaree University Technology (SUT) Hospital....

This dataset comprises phonocardiogram (PCG) signals, blood pressure measurements, and additional demographic collected from 78 participants under controlled conditions. The data were recorded using medical-grade digital stethoscope automated monitor to ensure precision consistency. PCG signals captured at the Pulmonic area (P), located second left intercostal space near sternum, segmented into 10-s intervals with 50 % overlap, enhancing signal processing analysis capabilities. Blood...

A quarter of the world population uses smartphones to access Internet and various types multimedia services on cellular networks, leading importance focusing user-centric approach, based Quality Experience (QoE) metric, measure business success for Mobile Network Operator (MNO). Although, quality network can be improved with help Service (QoS), but it does not indicate user satisfaction. Therefore, is vital use QoE along QoS parameters evaluate improve network. In this paper, we propose...

As the world population and its dependency on energy is growing exponentially day by day, existing generating resources are not enough to fulfill their needs. In conventional grid system, most of generated wasted because improper demand side management (DSM). This leads a difficulty in keeping equilibrium between user need electric power production. To overcome these difficulties, smart (SG) introduced, which composed integration two-way communication utility. utilize better way, SG best...

Those with disabilities who have lost their legs must use a prosthesis to walk. However, traditional prostheses the disadvantage of being unable move and support human gait because there are no mechanisms or algorithms control them. This makes it difficult for wearer To overcome this problem, we developed an insole device wearable sensor real-time phase detection based on kNN (k-nearest neighbor) algorithm prosthetic control. The is used raw data obtained from pressure sensors in predict...

Abdominal aortic aneurysm (AAA) is among the most widespread and dangerous diseases that may cause death. Recently, Endovascular Aneurysm Repair outperformed open surgery, since it a safe reliable technique where stent graft system placed within aneurysm. It was aimed to design an Mg biodegradable alloy with bio-friendly alloying elements enhance corrosion resistance mechanical properties of for stents Aortic repair. Adaptive Neuro-Fuzzy Inference System (ANFIS) proposed compared other...

Abstract Shouted and normal speech classification plays an important role in many speech-related applications. The existing works are often based on magnitude-based features ignore phase-based features, which directly related to magnitude information. In this paper, the importance of is explored for detection shouted speech. novel contributions work as follows. (1) Three namely, relative phase (RP), linear prediction analysis estimated speech-based RP (LPAES-RP) residual-based (LPR-RP)...

In this paper, low profile frequency reconfigurable monopole antenna is designed on FR-4 substrate with a compact size of 30 mm3 × 20 1.6 mm3. The tuned to four different modes through three pin diode switches. Mode 1 (SW1 SW3 = OFF), covers wideband 3.15–8.51 GHz. For 2 ON, SW2 the proposed resonates at 3.5 shows dual band behavior and 2.6 6.4 GHz in 3 OFF). same bands 2.1, 5 when operating 4 ON). has good radiation efficiency ranges from 70%∼84%, providing adequate average gain 2.05 dBi...

The impact of daily emissions gaseous and particulate pollutants machines industries on human health the environment has attracted increasing concerns. This significantly led to a notable increase in mortality highly industrialized zones. Therefore, monitoring air quality creating public awareness are important for safer future, which governments globally invest multi-billion policymaking solution stratification address problem. study aims design real-time Internet Things low-cost system....

Astrocytoma IV or glioblastoma is one of the fatal and dangerous types brain tumors. Early detection tumor increases survival rate helps in reducing fatality rate. Various imaging modalities have been used for diagnosing by expert radiologists, Medical Resonance Image (MRI) considered a better option detecting tumors as MRI non-invasive technique provides visualization region. One challenging issues to identify tumorous region from scans correctly. Manual segmentation performed medical...

In this paper, a wideband circularly polarized (CP) Y-shaped printed monopole antenna with the twin parasitic conducting strips (PCS) loaded circular-shaped metasurface (MS) layer is investigated. Initially, linearly (LP) designed. Thereby, to attain CP from LP, metallic strip used short one of ground plane. Further, MS radius 1.25λ∘, placed just below radiator at height 0.33λ∘, which enhances impedance and axial bandwidths, as well gain, motive achieve performance trade-offs an application...

Brain implantable wireless microsystems has potential to treat neurological diseases and maintain the quality of life. Highly efficient miniaturized antenna is fundamental part BID (brain device) for reliable signaling data through dissipative intracranial material. In this paper, a patch with L-shaped defected ground demonstrated. radiator contributed achieve resonance at 2.45 GHz industrial scientific medical (ISM) band. Antenna size reduced 10 × 0.25 mm

This paper addresses the evolving landscape of communication technology, emphasizing pivotal role 5G and emerging 6G networks in accommodating increasing demand for high-speed accurate data transmission. We delve into advancements particularly implementation millimeter wave (mmWave) frequencies ranging from 30 to 300 GHz. These are instrumental enhancing applications requiring massive transmission reception, facilitated by MIMO (multiple input multiple output) systems. Looking towards...