A review of IoT applications in healthcare

Neurocomputing, Journal Year: 2023, Volume and Issue: 565, P. 127017 - 127017

Published: Nov. 9, 2023

Integrating Internet of Things (IoT) technologies in the healthcare industry represents a transformative shift with tangible benefits. This paper provides detailed examination IoT adoption healthcare, focusing on specific sensor types and communication methods. It underscores successful real-world applications, including remote patient monitoring, individualized treatment strategies, streamlined delivery. Furthermore, it delves into intricate challenges to realizing full potential healthcare. includes addressing data security concerns, ensuring seamless interoperability, optimizing use IoT-generated data. The seeks inspire practitioners researchers by highlighting practical implications emphasizing ways can enhance care, resource allocation, overall efficiency.

Language: Английский

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The q-rung fuzzy LOPCOW-VIKOR model to assess the role of unmanned aerial vehicles for precision agriculture realization in the Agri-Food 4.0 era

Artificial Intelligence Review, Journal Year: 2023, Volume and Issue: 56(11), P. 13373 - 13406

Published: April 11, 2023

Language: Английский

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Fuzzy dynamic MCDM method based on PRSRV for financial risk evaluation of new energy vehicle industry

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 136, P. 110115 - 110115

Published: Feb. 17, 2023

Language: Английский

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Implementation and Recognition of Waste Management System with Mobility Solution in Smart Cities using Internet of Things

Published: Aug. 23, 2023

For cities all across the world, handling waste of garbage has become a significant apprehension as urban populations continue to expand rapidly in consecutive years. Smart are progressively implementing cutting-edge solutions that formulated through integration trash management systems with mobility and Internet Things (IoT) technologies effectively address this issue. IoT-enabled sensors devices utilized proposed system track collect real-time data on levels. This helps identification bin statuses collection routes. These installed several collecting locations, including cans, recycling bins, dumpsters, enabling ongoing research generation patterns. A centralized platform receive collected for analysis decision-making. The includes fleet linked rubbish pickup vehicles GPS tracking, route optimization algorithms, communication modules increase efficiency. With aid data, these given routes dynamically assigned, which optimizes schedules lowers fuel use emissions. IoT-capable keep capacity send main platform, proactive preventing overflow. core analytics machine learning virtual using IoT. It can help identify hotspots, forecast trends generation, improve routes, produce alerts upkeep service needs. Thus provides user-friendly interface.

Language: Английский

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Artificial Intelligence-Based Secured Power Grid Protocol for Smart City

Sensors, Journal Year: 2023, Volume and Issue: 23(19), P. 8016 - 8016

Published: Sept. 22, 2023

Due to the modern power system's rapid development, more scattered smart grid components are securely linked into system by encircling a wide electrical network with underpinning communication system. By enabling range of applications, such as distributed energy management, state forecasting, and cyberattack security, these generate vast amounts data that automate improve efficiency grid. traditional computer technologies' inability handle massive amount systems generate, AI-based alternatives have received lot interest. Long Short-Term Memory (LSTM) recurrent Neural Networks (RNN) will be specifically developed in this study address issue incorporating adaptively time-developing attributes enhance model dynamic properties contemporary Smart Grid (SG) impacted Revised Encoding Scheme (RES) or reconfiguration differentiate LSTM changes & real-time threats. More specifically, we provide federated instructional strategy for consumer sharing Power (PG) is supported edge clouds, protects privacy, communication-efficient. They then design two optimization problems Energy Data Owners (EDO) service operations, well local information assessment method Federated Learning (FL) taking non-independent identically (IID) effects consideration. The test results revealed had longer training duration, four hidden levels, higher loss than other models. provided works incredibly several situations identify FDIA. suggested approach may successfully induce EDOs employ high-quality models, increase payout ESP, decrease task latencies, according extensive simulations, which last points. According verification results, every assault sample could effectively recognized utilizing current detection methods RNN-based structure created Smart.

Language: Английский

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Assessment of Zero-Carbon Measures for Sustainable Transportation in Smart Cities: A CRITIC-MARCOS Framework Based on Q-Rung Fuzzy Preferences

IEEE Internet of Things Journal, Journal Year: 2023, Volume and Issue: 10(21), P. 18651 - 18662

Published: July 7, 2023

Sustainable transportation is an emerging field of research that primarily focuses on eco-friendliness. Smart cities actively attempt to adopt sustainable practices for reducing carbon footprints and improving people's lives. Developing countries like India intensely concentrate the zero-carbon theme promote measures expedite process. Mayor's transport strategy 2018 a useful document describes different smart could transport. Due heterogeneity these measures, ranking becomes essential. Driven by claim, in this article, we develop new framework using q-rung fuzzy information (qRFI) rational measures. QRFI reduces subjective randomness allows uncertainty modeling from three dimensions: 1) membership; 2) hesitancy; 3) nonmembership. Specifically, presents criteria importance through intercriteria correlation (CRITIC) with rank sum (RS) measurement alternatives based compromise solution (MARCOS) methods Some notable innovative aspects are: both objective weights are calculated criteria; experts' derived methodically; ranked close resemblance human-driven decisions. To exemplify usefulness proposed tool, real case example Coimbatore demonstrated. Advantages innovations methodical calculation mitigates biases inaccuracies; consideration subjective/objective gives better expressibility understanding importance; distance-based decision scheme offers flexible ranking. Concerning findings, technical aspect criterion receives highest weight value 0.1404, followed documentation (0.1173) modality shift (0.1125) criteria. Moreover, "start zones," incentive-based ultralow-carbon vehicles," "reduced emissions on-road machinery" can be implemented achieve emissions. The strengths weaknesses tool inferred via sensitivity comparison checks.

Language: Английский

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A Hybrid Group Multi-Criteria Approach Based on SAW, TOPSIS, VIKOR, and COPRAS Methods for Complex IoT Selection Problems

Electronics, Journal Year: 2024, Volume and Issue: 13(4), P. 789 - 789

Published: Feb. 17, 2024

The growth of Internet Things (IoT) systems is driven by their potential to improve efficiency, enhance decision-making, and create new business opportunities across various domains. In this paper, the main selection problems in IoT-type systems, criteria used multi-criteria evaluation, methods for solving IoT are identified. Then, a Hybrid Group Multi-Criteria Approach proposed. approach contains Best Worst Method (BWM) weighting method, Simple Additive Weighting (SAW), Technique Order Preference Similarity an Ideal Solution (TOPSIS), VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR), Complex Proportional Assessment (COPRAS), method that combines solutions obtained using four considered obtain single solution. SAW, TOPSIS, VIKOR, COPRAS were analyzed relation advantages, disadvantages, inputs, outputs, measurement scale, type normalization, aggregation parameters, complexity implementation, interactivity. An application platform comparison between solution proposed realized. A Spearman correlation analysis presented.

Language: Английский

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Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e26997 - e26997

Published: March 1, 2024

The COVID-19 pandemic has caused a surge in essential medical supplies usage, leading to notable increase waste generation. Consequently, extensive research focused on sustainable disposal methods handle used equipment safely. Given the necessity evaluate these considering qualitative and quantitative criteria, this falls within realm of multi-criteria decision-making (MCDM). This study introduces framework for selecting most suitable treatment methods, taking into account economic, technological, environmental, social aspects. Sixteen criteria were assessed using Fuzzy Preference Selection Index (F-PSI) determine optimal approach. Additionally, Compromise Ranking Alternatives from Distance Ideal Solution (F-CRADIS) method was employed nine technologies disposal. Notably, disinfection efficiency emerged as crucial criterion, with autoclaving identified preferred treatment. A practical case conducted Sivas, Turkey, validates feasibility strategies. Multiple sensitivity analyses performed ensure stability reliability proposed

Language: Английский

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An Idiosyncratic Interval Valued Picture q-Rung Orthopair Fuzzy Decision-Making Model for Electric Vehicle Battery Charging Technology Selection

International Journal of Fuzzy Systems, Journal Year: 2024, Volume and Issue: 26(6), P. 2023 - 2038

Published: Feb. 21, 2024

Language: Английский

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Prioritizing the indicators of energy performance management: a novel fuzzy decision-making approach for G7 service industries

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(1), P. 015003 - 015003

Published: Jan. 1, 2024

Abstract Ensuring energy performance management is important in many ways, such improvement of efficiency and decrease costs are reduced. There various indicators the effectiveness buildings. Due to this situation, businesses need make necessary improvements for development these factors. Nonetheless, actions cause an increase companies. Hence, among actions, more ones be identified. Owing issue, can use their limited budgets priority indicators. The purpose study evaluate main systems. In way, a new model proposed analysis hospitals. Firstly, five systems selected by considering ISO 50006 standards. Furthermore, weighted using Spherical fuzzy CRITIC. Secondly, G7 countries examined with RATGOS technique. Identification most significant novelty study. methodological proposing technique literature named RATGOS. It understood that crucial indicator management. it also identified France successful economy respect Japan United States have high respect. recommended should taken efficiency. By conducting audit, consumption data analyzed so losses inefficiencies detected. This assessment provides opportunities helps identify strategies.

Language: Английский

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