Determining the factors affecting transportation demand management and selecting the best strategy: A case study DOI
Ahmet Ayteki̇n, Selçuk Korucuk, Ömer Faruk Görçün

и другие.

Transport Policy, Год журнала: 2023, Номер 146, С. 150 - 166

Опубликована: Ноя. 13, 2023

Язык: Английский

A review of IoT applications in healthcare DOI Creative Commons
Chunyan Li, Jiaji Wang, Shuihua Wang‎

и другие.

Neurocomputing, Год журнала: 2023, Номер 565, С. 127017 - 127017

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

103

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 DOI Open Access
Fatih Ecer, İlkin Yaran Ögel, R. Krishankumar

и другие.

Artificial Intelligence Review, Год журнала: 2023, Номер 56(11), С. 13373 - 13406

Опубликована: Апрель 11, 2023

Язык: Английский

Процитировано

46

Implementation and Recognition of Waste Management System with Mobility Solution in Smart Cities using Internet of Things DOI
Kishori Kasat, Naim Shaikh, Vijay Kumar Rayabharapu

и другие.

Опубликована: Авг. 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.

Язык: Английский

Процитировано

40

Fuzzy dynamic MCDM method based on PRSRV for financial risk evaluation of new energy vehicle industry DOI
Xindong Peng, Haihui Huang, Zhigang Luo

и другие.

Applied Soft Computing, Год журнала: 2023, Номер 136, С. 110115 - 110115

Опубликована: Фев. 17, 2023

Язык: Английский

Процитировано

36

Artificial Intelligence-Based Secured Power Grid Protocol for Smart City DOI Creative Commons
Adel Sulaiman,

N. Bharathiraja,

Gaganpreet Kaur

и другие.

Sensors, Год журнала: 2023, Номер 23(19), С. 8016 - 8016

Опубликована: Сен. 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.

Язык: Английский

Процитировано

29

Assessment of Zero-Carbon Measures for Sustainable Transportation in Smart Cities: A CRITIC-MARCOS Framework Based on Q-Rung Fuzzy Preferences DOI
R. Krishankumar, Arunodaya Raj Mishra, Pratibha Rani

и другие.

IEEE Internet of Things Journal, Год журнала: 2023, Номер 10(21), С. 18651 - 18662

Опубликована: Июль 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.

Язык: Английский

Процитировано

24

A Hybrid Group Multi-Criteria Approach Based on SAW, TOPSIS, VIKOR, and COPRAS Methods for Complex IoT Selection Problems DOI Open Access
Constanţa Zoie Rădulescu, Marius Rădulescu

Electronics, Год журнала: 2024, Номер 13(4), С. 789 - 789

Опубликована: Фев. 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.

Язык: Английский

Процитировано

14

Evaluating the effect of the COVID-19 pandemic on medical waste disposal using preference selection index with CRADIS in a fuzzy environment DOI Creative Commons
Ahmet Turan Demir, Sarbast Moslem

Heliyon, Год журнала: 2024, Номер 10(5), С. e26997 - e26997

Опубликована: Март 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

Язык: Английский

Процитировано

12

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

Thirumalai Nallasivan Parthasarathy,

Samayan Narayanamoorthy,

Navaneethakrishnan Suganthi Keertha Devi

и другие.

International Journal of Fuzzy Systems, Год журнала: 2024, Номер 26(6), С. 2023 - 2038

Опубликована: Фев. 21, 2024

Язык: Английский

Процитировано

11

IoT-Driven Transformation of Circular Economy Efficiency: An Overview DOI Creative Commons
Zenonas Turskis,

Violeta Šniokienė

Mathematical and Computational Applications, Год журнала: 2024, Номер 29(4), С. 49 - 49

Опубликована: Июнь 28, 2024

The intersection of the Internet Things (IoT) and circular economy (CE) creates a revolutionary opportunity to redefine economic sustainability resilience. This review article explores intricate interplay between IoT technologies CE economics, investigating how transforms supply chain management, optimises resources, revolutionises business models. applications boost efficiency, reduce waste, prolong product lifecycles through data analytics, real-time tracking, automation. integration also fosters emergence inventive models, such as product-as-a-service sharing economies, offering benefits novel market opportunities. amalgamation with holds substantial implications for sustainability, advancing environmental stewardship propelling growth within emerging marketplaces. comprehensive unfolds roadmap comprehending implementing pivotal components IoT’s transformation toward nurturing sustainable resilient future. Embracing technologies, authors embark on journey transcending mere heralding an era where progress harmonises full responsibility CE’s promise.

Язык: Английский

Процитировано

10