Technology has played a vital part in improving quality of life, especially healthcare. Artificial intelligence (AI) and the Internet Things (IoT) are extensively employed to link accessible medical resources deliver dependable effective intelligent Body wearable devices have garnered attention as powerful for healthcare applications, leading various commercially available multiple purposes, including individual healthcare, activity alerts, fitness. The paper aims cover all advancements made...

Enterprise Resource Planning (ERP) software is extensively used for the management of business processes. ERP offers a system integrated applications with shared central database. Storing all business-critical information in place raises various issues such as data integrity assurance and single point failure, which makes database vulnerable. This paper investigates Blockchain integration, where network works synchronization system, mechanism to validate transactions ensure integrity....

Abstract The global orange industry constantly faces new technical challenges to meet consumer demands for quality fruits. Instead of traditional subjective fruit assessment methods, the interest in horticulture has increased objective, quantitative, and non-destructive methods. Oranges have a thick peel which makes their challenging. This paper evaluates potential short-wave NIR spectroscopy direct sweetness classification approach Pakistani cultivars orange, i.e., Red-Blood, Mosambi,...

In the presence of non-Gaussian impulsive noise (IN) with a heavy tail, active control (ANC) algorithms often encounter stability problems. While adaptive filters based on higher-order error power principle have shown improved filtering capability compared to least mean square family for IN, however, performance filtered-x absolute third (FxLMAT) algorithm tends degrade under high impulses. To address this issue, paper proposes three modifications enhance FxLMAT IN. improve stability, first...

In this paper, an enhanced adaptive impulsive noise cancellation technique based on State Space Recursive Least Square (SSRLS) algorithm is proposed. The applied to the Electrocardiogram (ECG) signal, where affects ECG analysis. Due state space model-dependent recursive parameters, presented scheme does not require reference signal and exhibits better in when compared with existing Normalized Mean (NLMS) and, (RLS) techniques. fastest convergence excellent tracking characteristics of...

<abstract> <p>In recent times, the research community has shown interest in information security due to increasing usage of internet-based mobile and web applications. This presents a novel approach constructing nonlinear component or Substitution Box (S-box) block ciphers by employing coset graphs over Galois field. Cryptographic techniques are employed enhance data address current concerns obstacles with ease. Nonlinear is keystone cryptography that hides association between...

Abstract The progression of Internet Things (IoT) has resulted in generation huge amount data. Effective handling and analysis such big volumes data proposes a crucial challenge. Existing cloud-based frameworks Big Data visualization are rising costs for servers, equipment, energy consumption. There is need green solution targeting lesser cost consumption with tamper-proof record-keeping, storage, interactive only demanded We have proposed Blockchain-based Green Visualization (BGbV) using...

Active noise control (ANC) systems employing adaptive filters suffer from stability issues in the presence of impulsive noise. To overcome this limitation, new methods must be investigated. In paper, we propose filtered-x state-space recursive least square (FxSSRLS), an SSRLS-based practical and algorithm for ANC. Computer simulations are executed to verify enhanced performance FxSSRLS algorithm. Symmetric α-stable (SαS) distributions used model The results show that proposed is more robust...

Active noise control algorithms undergo stability problems in the presence of impulsive noise. This paper investigates such with online secondary path modeling for and varying acoustic paths. The presents three methods active control, along improved modeling. Firstly, filtered x recursive least square algorithm is applied both method gave faster convergence, stability, accuracy as compared to existing ones. not robust abruptly changing To overcome this problem another that uses modified gain...

Public health and its related facilities are crucial for thriving cities societies. The optimum utilization of resources saves money time, but above all, it precious lives. It has become even more evident in the present as pandemic overstretched existing medical resources. Specific to patient appointment scheduling, casual attitude missing appointments (no-show-ups) may cause severe damage a patient's health. In this paper, with help machine learning, we analyze six million plus records...

Social distancing is an utmost reliable practice to minimise the spread of coronavirus disease (COVID-19). As new variant COVID-19 emerging, healthcare organisations are concerned with controlling death and infection rates. Different vaccines have been developed administered worldwide. However, presently vaccine quantity not sufficient fulfil needs world’s population. The precautionary measures still rely on personal preventive strategies. sharp rise in infections has forced governments...

In this paper, we propose an agent-based approach for the evaluation of Multiple Unmanned Autonomous Vehicle (MUAV) wildfire monitoring systems remote and hard-to-reach areas. Emerging environmental factors are causing a higher number wildfires keeping these fires in check is becoming global challenge. MUAV deployment surveillance potential has already been established. However, most scholarly work still focused on operations details. monitoring, evaluations system-level performance terms...

Impulsive noise is a human made and it destroys the information completely. Methods must be investigated to mitigate this noise. In paper, State Space Recursive Least Square (SSRLS) algorithm based enhanced adaptive impulsive cancellation technique proposed. Initially scheme tested on sinusoidal signal showing fast rate of convergence excellent tracking performance due its state space model-dependent recursive parameters. The proposed method came out very effective in without requiring...

Impulsive noise is a man-made non-Gaussian that may destroy the information badly.Previously, methods have been investigated to mitigate this noise.In paper, an adaptive filter based impulsive cancellation technique introduced, comprised of Normalized Least Mean Square (NLMS) and Recursive (RLS) algorithms along with clipping method.The proposed scheme tested on binary data modulated over different types constellation schemes.The performance method quite better than previously existing...

Cardiac diseases constitute a major root of global mortality and they are likely to persist. Electrocardiogram (ECG) is widely opted in clinics detect countless heart illnesses. Numerous artifacts interfere with the ECG signal, their elimination vital allow medical specialists acquire valuable statistics from ECG. The utmost artifact that added signal power line interference (PLI). filtering methods have been employed literature eliminate PLI noisy This article proposes an extended Kalman...

With the advent and advancements in wireless technologies, Wi-Fi fingerprinting-based Indoor Positioning System (IPS) has become one of most promising solutions for localization indoor environments. Unlike outdoor environment, lack line-of-sight propagation an environment keeps interest researchers to develop efficient precise positioning systems that can later be incorporated numerous applications involving Internet Things (IoTs) green computing. In this paper, we have proposed a technique...

This paper presents active noise control (ANC) of impulsive modeled by non-Gaussian stable processes. The famous filtered-x least mean square (FxLMS) algorithm for ANC systems becomes unstable as it is based on minimization variance error signal. As the family RLS algorithms give better convergence than that LMS algorithm, a new solution employing Filtered-x recursive squares (FxRLS) proposed noise. Simulation results illustrate has faster and stability existing techniques, highly environments.