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Journal articles on the topic 'MRBOA'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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1

Hathal, Hussein M., Ramzy S. Ali, and Abdulkareem S. Abdullah. "A Novel Metaheuristic Moss-Rose-Inspired Algorithm with Engineering Applications." Electronics 10, no. 16 (2021): 1877. http://dx.doi.org/10.3390/electronics10161877.

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Every day, a moss rose generates new flowers with variable diameters. Two flowering mechanisms are controlled by exposure to sunlight, namely, a variable concentration of florigen based on photoreceptors called phytochromes, and the biological clock, which is responsible for the changing diameters of the plant flowers at night and some hours during the day. By explaining and idealizing the flowering mechanisms of the moss rose in nature, a new sort of nature-inspired optimization algorithm called the moss rose optimization algorithm (MROA) was proposed in this study. The MROA was benchmarked u

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2

Alluhaidan, Ala Saleh, Mashael Maashi, Munya A. Arasi, Ahmed S. Salama, Mohammed Assiri, and Amani A. Alneil. "Mud Ring Optimization Algorithm with Deep Learning Model for Disease Diagnosis on ECG Monitoring System." Sensors 23, no. 15 (2023): 6675. http://dx.doi.org/10.3390/s23156675.

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Due to the tremendous growth of the Internet of Things (IoT), sensing technologies, and wearables, the quality of medical services has been enhanced, and it has shifted from standard medical-based health services to real time. Commonly, the sensors can be combined as numerous clinical devices to store the biosignals generated by the physiological actions of the human body. Meanwhile, a familiar method with a noninvasive and rapid biomedical electrocardiogram (ECG) signal can be used to diagnose and examine cardiovascular disease (CVD). As the growing number of patients is destroying the classi

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Wen, Changsheng, Heming Jia, Di Wu, et al. "Modified Remora Optimization Algorithm with Multistrategies for Global Optimization Problem." Mathematics 10, no. 19 (2022): 3604. http://dx.doi.org/10.3390/math10193604.

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Remora Optimization Algorithm (ROA) is a metaheuristic optimization algorithm, proposed in 2021, which simulates the parasitic attachment, experiential attack, and host feeding behavior of remora in the ocean. However, the performance of ROA is not very good. Considering the habits of the remora that rely on the host to find food, and in order to improve the performance of the ROA, we designed a new host-switching mechanism. By adding new a host-switching mechanism, joint opposite selection, and restart strategy, a modified remora optimization algorithm (MROA) is proposed. We use 23 standard b

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TILLMAN, GLENN E., JAMIE L. WASILENKO, MUSTAFA SIMMONS, et al. "Isolation of Shiga Toxin–Producing Escherichia coli Serogroups O26, O45, O103, O111, O121, and O145 from Ground Beef Using Modified Rainbow Agar and Post–Immunomagnetic Separation Acid Treatment†." Journal of Food Protection 75, no. 9 (2012): 1548–54. http://dx.doi.org/10.4315/0362-028x.jfp-12-110.

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It is estimated that at least 70% of human illnesses due to non-O157 Shiga toxin–producing Escherichia coli (STEC) in the United States are caused by strains from the top six serogroups (O26, O45, O103, O111, O121, and O145). Procedures for isolating STEC from food products often use plating media that include antimicrobial supplements at concentrations that inhibit background microflora growth but can also inhibit target STEC growth. In this study, an agar medium with lower supplement concentrations, modified Rainbow agar (mRBA), was evaluated for recovery of STEC serogroups O26, O45, O103, O

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Cheng, Chong-Yang, Ming-Yuan Zhang, Yong-Chun Niu, Meng Zhang, Yue-Hua Geng, and Hui Deng. "Comparison of Fungal Genera Isolated from Cucumber Plants and Rhizosphere Soil by Using Various Cultural Media." Journal of Fungi 9, no. 9 (2023): 934. http://dx.doi.org/10.3390/jof9090934.

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Plant endophytic fungi and rhizosphere soil fungi are often reported as biocontrol agents against plant pathogens or with plant growth promotion potential. Four treatments were performed in field and greenhouse experiments where cucumber plants were inoculated with Trichoderma harzianum and Fusarium oxysporum in 2022. The roots, stems and leaves of cucumber plants and their rhizosphere soil were collected twice individually from the field and greenhouse for isolation of cucumber endophytic and rhizosphere soil fungi. All fungal strains were identified through sequence similarity of the ITS1-5.

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6

Martynova, T. A., N. I. Maksimov, and M. M. Glavatskikh. "Relationship between electrokinetic parameters of red blood cells and acute coronary syndrome." Perm Medical Journal 35, no. 6 (2018): 29–35. http://dx.doi.org/10.17816/pmj35629-35.

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Aim. To assess the state of electrokinetic properties of red blood cells in different variants of the course of acute coronary syndrome (ACS). Materials and methods. The study deals with the assessment of clinical and laboratory-instrumental data from 201 patients with ACS, the results of electrokinetic parameters of red blood cells, their predictors. Results. According to electrokinetic indices of erythrocytes, no reliable differences between the groups were found out. The mean red blood cell oscillation amplitude (MRBCOA) in group 1 was 1.83 ± 0.05, in group 2 – 1.75 ± 0.06 (t =

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7

LEWIS, GENTRY L., NATALIA CERNICCHIARO, and RODNEY A. MOXLEY. "Performance of Chromogenic Agar Media for Isolation of Shiga Toxin–Producing Escherichia coli from Ground Beef." Journal of Food Protection 83, no. 7 (2020): 1149–54. http://dx.doi.org/10.4315/jfp-19-585.

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ABSTRACT The performance of three chromogenic agar media for detection of the “top seven” Shiga toxin–producing Escherichia coli (STEC) in beef was compared. Samples of retail ground beef were inoculated with STEC O26, O45, O103, O111, O121, O145, or O157 at geometric mean (±standard error of the mean) levels of 0, 48 (±1), 420 (±1), 4,100 (±1), or 45,000 (±1) CFU/10 g and enriched 1:10 (90 mL) in EC broth (40°C for 6 h). Following enrichment, aliquots of broth culture were treated by immunomagnetic separation with one of three pools of beads against the seven STEC serogroups: pool I, O26, O45

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8

Hathal, Hussein, Abdulkareem Abdullah, and Ramzy Ali. "Design and Optimizing of Compact Ultra-Wide Band Printed Patch Antenna Employing Different Optimization Algorithms Based on Plant Inspiration." Basrah journal for engineering science 22, no. 1 (2022): 86–92. http://dx.doi.org/10.33971/bjes.22.1.10.

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In this paper, a compact ultra-wide band (UWB) printed patch antenna is designed and optimized using four biologically and plant inspired optimization algorithms. These algorithms are the newly adopted Moss Rose Optimization Algorithm (MROA), Runner Root Algorithm (RRA), Sunflower Optimization Algorithm (SFOA) and Particle Swarm Optimization (PSO). These algorithms are modified in an optimizer software, which merges the attributes of the design of electromagnetic environment of CST Microwave Studio with those of the technical programming environment of MATLAB. A compact (12 × 21.5) mm2 printed

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9

Barik, Ranjan Kumar, Manoranjan Pradhan, and Rutuparna Panda. "Efficient Conversion Technique from Redundant Binary to NonRedundant Binary Representation." Journal of Circuits, Systems and Computers 26, no. 09 (2017): 1750135. http://dx.doi.org/10.1142/s0218126617501353.

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Redundant Binary (RB) to Two’s Complement (TC) converter offers nonredundant representation. However, the sign bit of TC representation has to be handled using nonstandard hardware blocks. The concept of Inverted encoding of negative weighted bits (IEN) eliminates the need of sign extension and offers design only using predefined hardware blocks. NonRedundant Binary (NRB) representation refers to both conventional and IEN representations. The NRB representation is also useful considering problem related to shifting in Carry Save (CS) representation of a RB number. In this paper, we have propos

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10

Song, Danny Y., Doru Petrisor, Michael Muntener, et al. "MRI-compatible pneumatic robot (MRBot) for prostate brachytherapy: Preclinical evaluation of feasibility and accuracy." Brachytherapy 7, no. 2 (2008): 177–78. http://dx.doi.org/10.1016/j.brachy.2008.02.445.

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11

WANG, HONGYE, ZHAO CHEN, and XIUPING JIANG. "Improving the Enrichment and Plating Methods for Rapid Detection of Non-O157 Shiga Toxin–Producing Escherichia coli in Dairy Compost." Journal of Food Protection 79, no. 3 (2016): 413–20. http://dx.doi.org/10.4315/0362-028x.jfp-15-249.

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ABSTRACT A culture method to detect non-O157 Shiga toxin–producing Escherichia coli (STEC) was optimized in this study. The finished dairy compost with 30% moisture content was inoculated with a cocktail of six non-O157 STEC serovars at initial concentrations of 1 to 100 CFU/g. Afterward, non-O157 STEC cells in the inoculated dairy compost were enriched by four methods, followed by plating onto cefixime-tellurite sorbitol MacConkey agar supplemented with 5 mg/liter novobiocin (CTN-SMAC) and modified Rainbow agar containing 5 mg/liter novobiocin, 0.05 mg/liter cefixime trihydrate, and 0.15 mg/l

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Stoianovici, D., D. Y. Song, D. Petrisor, et al. "MRI-compatible Pneumatic Robot (MRBot) for Prostate Brachytherapy: Preclinical Assessment of Accuracy and Execution of Dosimetric Plans." International Journal of Radiation Oncology*Biology*Physics 72, no. 1 (2008): S306—S307. http://dx.doi.org/10.1016/j.ijrobp.2008.06.1071.

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13

Medina, Jose, Joseph Michael Capin, and Imee Catulong. "Evaluation Study on The Impact of MRBOC Programs in Partner Community, Barangay San Isidro, Bais City, Negros Oriental." WORLD EDUCATION CONNECT Multidisciplinary e-Publication IV, no. 7 (2024): 2. https://doi.org/10.5281/zenodo.12818230.

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MEDINA, JOSE, JOSEPH MICHAEL JAPIN, and IMEE CATULONG. "Evaluation Study on The Impact of MRBOC Programs in Partner Community, Barangay San Isidro, Bais City, Negros Oriental." WORLD EDUCATION CONNECT Multidisciplinary e-Publication IV, no. 7 (2024): 2. https://doi.org/10.5281/zenodo.14054213.

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15

Chen, Hao, Erdan Wang, Nuo Wang, and Tao Song. "Research on Embodied Carbon Transfer Measurement and Carbon Compensation among Regions in China." International Journal of Environmental Research and Public Health 20, no. 3 (2023): 2761. http://dx.doi.org/10.3390/ijerph20032761.

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The existence of interprovincial embodied carbon transfer not only makes it difficult to achieve carbon emission reductions but also exacerbates the inequity, inefficiency, and high costs of interprovincial carbon emission reduction rights and responsibilities. This paper uses multi-regional input–output analysis (MRIOA) to measure the interprovincial embodied carbon transfer in 2017, obtains the net carbon transfer between 30 provinces (municipalities and autonomous regions) and eight regions in 2017, and accounts for the interprovincial carbon compensation amount based on the carbon price in

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16

Civeira, Gabriela. "Net Primary Productivity, Carbon Storage and Their Relationship with Soil Properties in the Urban-periurban Gradient of the Metropolitan Region of Buenos Aires (MRBA)." International Journal of Environmental Engineering and Development 3 (July 15, 2025): 119–32. https://doi.org/10.37394/232033.2025.3.10.

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Urban expansion profoundly altered ecosystems by replacing natural or productive land with impervious surfaces, thereby affecting key ecological functions such as net primary productivity (NPP), carbon storage, and soil properties. This study evaluated NPP and soil organic carbon (SOC) across the urban–periurban gradient of the Metropolitan Region of Buenos Aires (MRBA), the most populous area in Argentina. Based on crop yield data, harvest indices, and soil series, NPP (Mg ha⁻¹ yr⁻¹) and SOC (t C ha⁻¹) were estimated for 40 municipalities. The results revealed a marked contrast between urban

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17

"Modern Rounding Based Approximate (MROBA) Multiplier for the Design of Fir Filter." International Journal of Engineering and Advanced Technology 8, no. 6S3 (2019): 1863–66. http://dx.doi.org/10.35940/ijeat.f1357.0986s319.

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For better power utilization,area,speed which are important criteria in the design of DSP processors multiplier design is main issue.The work of multiplier is rounding the numbers both signed and unsigned.In few applications speed is more important than accuracy so to improve the performance approximate circuits are introduced with reduce energy consumption and increase speed.In this paper,we propose an FIR filter based on Modern Rounding Based Approximate(M ROBA).In this modified rounding based approximate multiplier the numbers are rounded to the nearest exponent irrespective of 2 n .The pro

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18

Chen, Yourong, Hao Chen, Meng Han, et al. "Miner revenue optimization algorithm based on Pareto artificial bee colony in blockchain network." EURASIP Journal on Wireless Communications and Networking 2021, no. 1 (2021). http://dx.doi.org/10.1186/s13638-021-02018-x.

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AbstractIn order to improve the revenue of attacking mining pools and miners under block withholding attack, we propose the miner revenue optimization algorithm (MROA) based on Pareto artificial bee colony in blockchain network. MROA establishes the revenue optimization model of each attacking mining pool and revenue optimization model of entire attacking mining pools under block withholding attack with the mathematical formulas such as attacking mining pool selection, effective computing power, mining cost and revenue. Then, MROA solves the model by using the modified artificial bee colony al

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19

Kshirsagar, Anannya, Hayk Mnatsakanyan, Sai Kulkarni, et al. "Multi‐Region Brain Organoids Integrating Cerebral, Mid‐Hindbrain, and Endothelial Systems." Advanced Science, July 8, 2025. https://doi.org/10.1002/advs.202503768.

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AbstractBrain organoid technology has revolutionized the ability to model human neurodevelopment in vitro. However, current techniques remain limited by their reliance on simplified endothelial cell populations. Multi‐Region Brain Organoids (MRBOs) are engineered that integrate cerebral, mid/hindbrain, and complex endothelial organoids into one structure. Unlike earlier approaches based on isolated Human Umbilical Vein Endothelial Cells, the endothelial organoids contain diverse vascular cell types, including progenitors, mature endothelial cells, pericytes, proliferating angiogenic cells, and

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20

Smith, Tyler J., Jeesoo Lee, Michael Markl, and James D. Thomas. "Abstract 15470: Mathematical Modeling of the Determinants and Consequences of Mitral Regurgitation: Jacobian Sensitivity Analysis of a Lumped Parameter Model of the Cardiovascular System." Circulation 146, Suppl_1 (2022). http://dx.doi.org/10.1161/circ.146.suppl_1.15470.

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Background: Mitral regurgitation (MR) results in complex changes to hemodynamics, which lumped parameter (LP) models of the cardiovascular (CV) system can model. A previously validated LP model using time varying elastance of the atria and ventricles models pressure, volume, and flow in the four chambers and valves of the heart and arterial and venous compartments. Here we model moderate MR and perform a Jacobian matrix sensitivity analysis to explore impact of CV parameters on MR variables. Methods: Using MATLAB app designer, we made an app to give input parameter and output variable specific

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21

Mahajan, Pranita, and Dipti Rana. "Feature optimization in CNN using MROA for disease classification." Intelligent Decision Technologies, March 1, 2022, 1–15. http://dx.doi.org/10.3233/idt-220097.

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Electronic Medical Records (EMR) carry important information about a patient’s journey. The past decade shows substantial use of Natural Language Processing (NLP)-based Information Retrieval (IR) techniques to extract insights such as symptoms, diseases, and tests from these unstructured records. The state-of-the-art shows that convolutional neural networks (CNN) make a significant contribution to the disease classification task.A significant improvement in precise knowledge mining is possible with precise feature extraction. Feature selection addresses undesirable, unneeded, or irrelevant fea

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Sathe, Rupali, and Shilpa Shinde. "Adaptive financial fraud detection system using modified rain optimization algorithm." Intelligent Decision Technologies, February 28, 2025. https://doi.org/10.1177/18724981251317642.

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This paper describes an adaptive financial fraud detection system that uses a modified rain optimization algorithm. There are three phases to the proposed approach. The first phase is data pre-processing using Synthetic Minority Oversampling Technique (SMOTE). The second phase includes feature selection on pre-processed data using the Modified Rain Optimization Algorithm (MROA). To evaluate features based on cost functions, MROA uses a stochastic diffusion method, which allows for iterative feature merger or absorption to maximize selection. The feature selection chooses relevant features whic

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Li, Lei, Ming Jeat Foo, Jiaye Chen, et al. "Mobile Robotic Balance Assistant (MRBA): a gait assistive and fall intervention robot for daily living." Journal of NeuroEngineering and Rehabilitation 20, no. 1 (2023). http://dx.doi.org/10.1186/s12984-023-01149-0.

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Abstract Background Aging degrades the balance and locomotion ability due to frailty and pathological conditions. This demands balance rehabilitation and assistive technologies that help the affected population to regain mobility, independence, and improve their quality of life. While many overground gait rehabilitation and assistive robots exist in the market, none are designed to be used at home or in community settings. Methods A device named Mobile Robotic Balance Assistant (MRBA) is developed to address this problem. MRBA is a hybrid of a gait assistive robot and a powered wheelchair. Whe

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Whitlow, S., A. Haughey, J. O’Connor, and RP Killeen. "Prevalence of significant pathology on MRI of brain and orbits in patients presenting with visual disturbance." European Journal of Ophthalmology, March 2, 2023, 112067212311609. http://dx.doi.org/10.1177/11206721231160990.

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Purpose The aim of our study was to determine the frequency and variety of abnormalities detected on MRI studies of the brain and orbits (MRBO), in patients referred for investigation of visual disturbance from a tertiary ophthalmology centre in Ireland. A secondary objective was to assess the various imaging pathologies identified in this cohort of patients. Methods The inclusion criteria were patients who underwent an Magnetic resonance imaging (MRI) brain or MRI brain and orbits over a 12-month period for investigation of first episode of visual disturbance, who were over 18 years of age, w

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25

Kamal, Vivek V., Nakul Pradeep, Rani Santhakumari amma, Muhammed Arif, Ananthan D. Thampi, and Sneha Edla. "Tribological property and oxidation stability evaluation of rice bran oil with silicon dioxide nanoparticles and spicy aroma-based herbal oils as additives." Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, March 15, 2023, 135065012311623. http://dx.doi.org/10.1177/13506501231162396.

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Around the globe, the majority of industries are utilizing mineral oil-based lubricants because of their cost, availability, and compatibility with different engineering materials. The progressive depletion and negative impacts of mineral oil-based products on the environment have led to the search for some potential alternatives. Biodegradable and nontoxic vegetable oils are considered a potential replacement for mineral oils. However, they exhibit certain limitations such as less oxidation stability, poor cloud, and pour point characteristics. In the present study, herbal oils are used as no

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26

Munugapati, Bhavana, and Srinivas Rao Dr.Koppula. "AN EFFECTIVE DEEP LEARNING APPROACH FOR CROP YIELD FORECASTING IN PRECISION AGRICULTURE BASED ON CLIMATE CHANGES." June 7, 2024. https://doi.org/10.5281/zenodo.14001030.

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Crop Yield Prediction (CYP) in precision agriculture is a critical application involving various data-driven techniques and advanced technologiesto estimate the potential harvest output of crops. The goal is to provide farmers with valuable insights into expected yields, allowing them tomake informed decisions about resource allocation, crop management practices, and harvest planning. CYP is a complex task involvingchallenges and uncertainties like high computational time complexity and higher accuracy. This paper proposes a novel deep-learning techniquefor crop yield prediction in precision a

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27

A, Dinesh, and Rangaraj J. "Energy Efficient Clustering and Routing Using Hybrid Fuzzy with Modified Rider Optimization Algorithm in IoT - Enabled Wireless Body Area Network." Journal of Machine and Computing, April 5, 2023, 171–83. http://dx.doi.org/10.53759/7669/jmc202303016.

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Wireless sensor networks are widely used in various Internet of Things applications, including healthcare, underwater sensor networks, body area networks, and multiple offices. Wireless Body Area Network (WBAN) simplifies medical department tasks and provides a solution that reduces the possibility of errors in the medical diagnostic process. The growing demand for real-time applications in such networks will stimulate significant research activity. Designing scenarios for such critical events while maintaining energy efficiency is difficult due to dynamic changes in network topology, strict p

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28

Jeganathan, Suresh, Gunasekaran Kulandaivelu, Dhurgadevi Muthusamy, and Kishore Verma Samraj. "Trust‐Aware Routing Protocol Using Hierarchical Manta Ray Foraging Optimization Algorithm With Selfish Node Detection in MANET." International Journal of Communication Systems 38, no. 5 (2025). https://doi.org/10.1002/dac.70011.

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ABSTRACTMobile ad hoc networks (MANETs) are fast, self‐organizing, infrastructure‐less wireless networks; it is highly suitable for use in emergencies, natural catastrophes, and between places without infrastructure. However, this approach fails to focus on the selfish nodes. To address this, a trust‐aware routing protocol using the Hierarchical Manta Ray Foraging Optimization Algorithm (HMRFOA) with selfish node detection in MANET (SND‐MSWGCN‐TRP‐MANET) is proposed in this manuscript. Initially, clustering is processed using Localized Sparse Incomplete Multiview Clustering (LSIMVC). The node

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