A great diversity comes in the field of medical sciences because computing capabilities and improvements techniques, especially identification human heart diseases. Nowadays, it is one world’s most dangerous diseases has very serious effects life. Accurate timely disease can be helpful preventing failure its early stages will improve patient’s survival. Manual approaches for are biased prone to interexaminer variability. In this regard, machine learning algorithms efficient reliable sources...

In this study, a novel framework is proposed for efficient energy management of residential buildings to reduce the electricity bill, alleviate peak-to-average ratio (PAR), and acquire desired trade-off between bill user-discomfort in smart grid. The an integrated artificial neural network (ANN) based forecast engine our day-ahead grey wolf modified enhanced differential evolution algorithm (DA-GmEDE) home controller (HEMC). forecasts price-based demand response (DR) signal consumption...

An operative and versatile household energy management system is proposed to develop implement demand response (DR) projects. These are under the hybrid generation of storage (ESS), photovoltaic (PV), electric vehicles (EVs) in smart grid (SG). Existing systems cannot offer its users a choice ensure user comfort (UC) not provide sustainable solution terms reduced carbon emission. To tackle these problems, this research work proposes heuristic-based programmable controller (HPEMC) manage...

In this paper, we consider a hybrid underlay-overlay cognitive radio with energy harvesting. the considered system, secondary user can harvest from primary user's signal as well other ambient sources, such solar, wind, vibration and so on. Energy is harvested when channel found in busy state. The either operates one of two transmission modes; overlay underlay order to maximize throughput, remains sleep mode conserve energy, or harvests remaining energy. To long-term throughput propose an...

There will be a dearth of electrical energy in the prospective world due to exponential increase demand rapidly growing population. With development internet-of-things (IoT), more smart devices integrated into residential buildings cities that actively participate electricity market via response (DR) programs efficiently manage order meet this increasing demand. Thus, with incitement, an management strategy using price-based DR program is developed for IoT-enabled buildings. We propose...

The implementation of real-time price-based demand response program and integration renewable energy resources (RESs) improves efficiency ensure stability electric grid. This paper proposes a novel intelligent optimization based demand-side management (DSM) framework for smart grid integrated with RESs. In the DSM artificial neural network (ANN) forecasts usage behavior consumers (RTPDRP) utility company (EUC). controller proposed adapts forecasted using RTPDRP to create operation schedule....

With the emergence of smart grid (SG), real-time interaction is favorable for both residents and power companies in optimal load scheduling to alleviate electricity cost peaks demand. In this paper, a modular framework introduced efficient scheduling. The proposed comprised four modules: company module, forecaster home energy management controller (HEMC) resident module. module receives demand response (DR), information (real-time pricing scheme (RTPS) critical peak (CPPS)), from forecast...

Electric energy consumption forecasting enables distribution system operators to perform efficient management by flexibly engaging consumers under the intelligent demand-response program in smart grid (SG). With this motivation, paper, a fast and accurate hybrid electrical (FA-HELF) framework is developed. The proposed integrates two modules with support vector machine (SVM) based forecaster. These are data pre-processing feature engineering, modified enhanced differential evolution (mEDE)...

The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends to automatically create summaries enormous amounts text so that readers can save time and effort. ATS a rapidly growing field aims effort by generating large volumes text. In recent years, significant advancements have been witnessed in this area, accompanied challenges spurred extensive research. proliferation textual data has sparked substantial interest ATS, thoroughly examined survey study....

This work investigates the performance of link-layer rate downlink non-orthogonal multiple access and orthogonal network users in finite blocklength regime. Initially, we formulate achievable effective capacity strong weak networks with blocklength. Furthermore, derive closed-form solutions under Nakagami-𝑚 fading channel. study also formulated derived its expressions at high transmit signal-to-noise ratios (SNRs). To validate proposed use Monte Carlosimulations. Evaluate different values...

This study looks at the level of knowledge about Basic Life Support (BLS) among undergraduate nursing students private colleges in Peshawar, Pakistan. BLS is a crucial skill for healthcare workers, especially emergency situations where quick action can make life-or-death difference. The goal this research to assess how prepared are perform and pinpoint areas their training could be improved

Purpose: To determine the effectiveness of temporary keratoprosthesis in facilitating successful combined penetrating Keratoplasty and vitreoretinal surgery. Study Design: Retrospective interventional case series. Place Duration Surgery: Department Ophthalmology, Peshawar Medical College, from January 2020 December 2023. Methods: A retrospective study was conducted which included 15 patients who underwent keratoprosthesis-assisted Data for pre postoperative visual acuity, IOP, retinal...

Organizational change is essential for the survival and success of any institution. This study examines role communication in facilitating implementation organizational across various universities Malakand Division. Data were collected through a questionnaire from employees working these universities. The findings indicate positive relationship between successful change. Additionally, results reveal that employee commitment serves as full mediator implementation. However, this limited to...

We propose an energy-efficient network architecture that consists of ad hoc (mobile) cognitive radios (CRs) and infrastructure wireless sensor nodes. The nodes within communications range each CR are grouped into a cluster the clusters CRs regularly updated according to random mobility CRs. reduce energy consumption end-to-end delay by dividing disjoint subsets with overlapped sensing coverage primary user (PU) activity. Respective subset provides target detection false alarm probabilities....

A membrane contactor using ionic liquids (ILs) as solvent for pre-combustion capture CO2 at elevated temperature (303–393 K) and pressure (20 bar) has been studied mathematic model in the present work. comprehensive two-dimensional (2D) mass-transfer was developed based on finite element method. The effects of liquid properties, configurations, well operation parameters removal efficiency were systematically studied. simulation results show that can be effectively removed this process. In...

String matching algorithms used in bioinformatics can be applied to scenarios cognitive radios, where reports of cooperative spectrum sensing nodes need compared with each other. Cooperative is susceptible security risks, malicious users who participate the process falsify data, thus affecting radio network performance. In this paper, an efficient system developed (CR) user senses multiple times within allocated period. Each CR quantizes its decision predefined levels so as achieve a...