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Journal articles on the topic 'Odor vector'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Lee, Do-Hyun, Sang-Hun Lee, Saem-Ee Woo, Min-Woong Jung, Do-yun Kim, and Tae-Young Heo. "Prediction of Complex Odor from Pig Barn Using Machine Learning and Identifying the Influence of Variables Using Explainable Artificial Intelligence." Applied Sciences 12, no. 24 (2022): 12943. http://dx.doi.org/10.3390/app122412943.

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Odor is a very serious problem worldwide. Thus, odor prediction research has been conducted consistently to help prevent odor. Odor substances that are complex odors are known, but complex odors and odor substances do not have a linear dependence. In addition, depending on the combination of odor substances, the causal relationships, such as synergy and antagonism, are different for complex odors. Research is needed to know this, but the situation is incomplete. Therefore, in this study, research was conducted through data-based research. The complex odor was predicted using various machine le

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Yan, Luchun, Chuandong Wu, and Jiemin Liu. "Visual Analysis of Odor Interaction Based on Support Vector Regression Method." Sensors 20, no. 6 (2020): 1707. http://dx.doi.org/10.3390/s20061707.

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The complex odor interaction between odorants makes it difficult to predict the odor intensity of their mixtures. The analysis method is currently one of the factors limiting our understanding of the odor interaction laws. We used a support vector regression algorithm to establish odor intensity prediction models for binary esters, aldehydes, and aromatic hydrocarbon mixtures, respectively. The prediction accuracy to both training samples and test samples demonstrated the high prediction capacity of the support vector regression model. Then the optimized model was used to generate extra odor d

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Aleixandre, Manuel, Kaoru Nakazawa, and Takamichi Nakamoto. "Optimization of Modulation Methods for Solenoid Valves to Realize an Odor Generation System." Sensors 19, no. 18 (2019): 4009. http://dx.doi.org/10.3390/s19184009.

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An artificial olfactory system coupled with an odor generation system is herein reported. The artificial olfactory system is composed of four chemical sensors consisting of quartz crystal microbalances (QCMs) coated with room temperature ionic liquids (RTILs). The sensors are interrogated by four vector network analyzers, which are used to measure the series resonant frequency and motional resistance. The odor generation system can generate eight different odors and mix them in any composition. Solenoid valves are used to switch the path and control the concentration of the different odors bef

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Yamanaka, Takao, Nitikarn Nimsuk, and Takamichi Nakamoto. "Concurrent Recording and Regeneration of Visual and Olfactory Information Using Odor Sensor." Presence: Teleoperators and Virtual Environments 16, no. 3 (2007): 307–17. http://dx.doi.org/10.1162/pres.16.3.307.

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In this paper, a method of concurrent recording and regeneration of visual and olfactory information is presented using electronic nose technology. To accomplish this objective, the sensor response patterns of odors in the atmosphere were measured using QCM (quartz crystal microbalance) odor sensors with partially overlapping specificities. Then the odors were identified from the response patterns using LVQ (learning vector quantization), a pattern classification algorithm of neural networks with supervised learning. Visual information, presented as a movie, was captured using a digital video

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Chai, Hwa Chia, and Kek Heng Chua. "The Potential Use of Volatile Biomarkers for Malaria Diagnosis." Diagnostics 11, no. 12 (2021): 2244. http://dx.doi.org/10.3390/diagnostics11122244.

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Pathogens may change the odor and odor-related biting behavior of the vector and host to enhance pathogen transmission. In recent years, volatile biomarker investigations have emerged to identify odors that are differentially and specifically released by pathogens and plants, or the pathogen-infected or even cancer patients. Several studies have reported odors or volatile biomarkers specifically detected from the breath and skin of malaria-infected individuals. This review will discuss the potential use of these odors or volatile biomarkers for the diagnosis of malaria. This approach not only

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Robinson, Ailie, Annette O. Busula, Mirjam A. Voets, et al. "Plasmodium-associated changes in human odor attract mosquitoes." Proceedings of the National Academy of Sciences 115, no. 18 (2018): E4209—E4218. http://dx.doi.org/10.1073/pnas.1721610115.

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Malaria parasites (Plasmodium) can change the attractiveness of their vertebrate hosts to Anopheles vectors, leading to a greater number of vector–host contacts and increased transmission. Indeed, naturally Plasmodium-infected children have been shown to attract more mosquitoes than parasite-free children. Here, we demonstrate Plasmodium-induced increases in the attractiveness of skin odor in Kenyan children and reveal quantitative differences in the production of specific odor components in infected vs. parasite-free individuals. We found the aldehydes heptanal, octanal, and nonanal to be pro

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Nordén, Frans, Behzad Iravani, Martin Schaefer, et al. "The human olfactory bulb communicates perceived odor valence to the piriform cortex in the gamma band and receives a refined representation back in the beta band." PLOS Biology 22, no. 10 (2024): e3002849. http://dx.doi.org/10.1371/journal.pbio.3002849.

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A core function of the olfactory system is to determine the valence of odors. In humans, central processing of odor valence perception has been shown to take form already within the olfactory bulb (OB), but the neural mechanisms by which this important information is communicated to, and from, the olfactory cortex (piriform cortex, PC) in humans are not known. To assess communication between the 2 nodes, we simultaneously measured odor-dependent neural activity in the OB and PC from human participants while obtaining trial-by-trial valence ratings. By doing so, we could determine when subjecti

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Liu, Yuanchang, Nan Peng, Jinlong Kang, Takeshi Onodera, and Rui Yatabe. "Identification of Beef Odors under Different Storage Day and Processing Temperature Conditions Using an Odor Sensing System." Sensors 24, no. 17 (2024): 5590. http://dx.doi.org/10.3390/s24175590.

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This study used an odor sensing system with a 16-channel electrochemical sensor array to measure beef odors, aiming to distinguish odors under different storage days and processing temperatures for quality monitoring. Six storage days ranged from purchase (D0) to eight days (D8), with three temperature conditions: no heat (RT), boiling (100 °C), and frying (180 °C). Gas chromatography–mass spectrometry (GC-MS) analysis showed that odorants in the beef varied under different conditions. Compounds like acetoin and 1-hexanol changed significantly with the storage days, while pyrazines and furans

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Barea-Sepúlveda, Marta, José Luis P. Calle, Marta Ferreiro-González, and Miguel Palma. "Development of a Novel HS-GC/MS Method Using the Total Ion Spectra Combined with Machine Learning for the Intelligent and Automatic Evaluation of Food-Grade Paraffin Wax Odor Level." Foods 13, no. 9 (2024): 1352. http://dx.doi.org/10.3390/foods13091352.

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The intensity of the odor in food-grade paraffin waxes is a pivotal quality characteristic, with odor panel ratings currently serving as the primary criterion for its assessment. This study presents an innovative method for assessing odor intensity in food-grade paraffin waxes, employing headspace gas chromatography with mass spectrometry (HS/GC-MS) and integrating total ion spectra with advanced machine learning (ML) algorithms for enhanced detection and quantification. Optimization was conducted using Box–Behnken design and response surface methodology, ensuring precision with coefficients o

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Husni, Nyayu Latifah, Siti Nurmaini, Irsyadi Yani, and Ade Silvia. "Intelligent Sensing Using Metal Oxide Semiconductor Based-on Support Vector Machine for Odor Classification." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4133–47. https://doi.org/10.11591/ijece.v8i6.pp4133-4147.

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Classifying odor in real experiment presents some challenges, especially the uncertainty of the odor concentration and dispersion that can lead to a difficulty in obtaining an accurate datasets. In this study, to enhance the accuracy, datasets arrangement based on MOS sensors parameters using SVM approach for odor classification is proposed. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability when applied to the various sources at different range. Three sources were used in experimental test, namel

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Husni, Nyayu Latifah, Siti Nurmaini, Irsyadi Yani, and Ade Silvia. "Intelligent Sensing Using Metal Oxide Semiconductor Based-on Support Vector Machine for Odor Classification." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4133. http://dx.doi.org/10.11591/ijece.v8i6.pp4133-4147.

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Classifying odor in real experiment presents some challenges, especially the uncertainty of the odor concentration and dispersion that can lead to a difficulty in obtaining an accurate datasets. In this study, to enhance the accuracy, datasets arrangement based on MOS sensors parameters using SVM approach for odor classification is proposed. The sensors are tested to determine the sensors' time response, sensors' peak duration, sensors' sensitivity, and sensors' stability when applied to the various sources at different range. Three sources were used in experimental test, namely: ethanol, meth

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Ogawa, Keishiro, Katsufumi Inoue, Michifumi Yoshioka, and Hidekazu Yanagimoto. "Odor Detecting Algorithm with Boundary Compensation Support Vector Machine." IEEJ Transactions on Electronics, Information and Systems 135, no. 7 (2015): 920–26. http://dx.doi.org/10.1541/ieejeiss.135.920.

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13

Mweresa, Collins K., W. R. Mukabana, J. J. A. van Loon, M. Dicke, and W. Takken. "Use of semiochemicals for surveillance and control of hematophagous insects." Chemoecology 30, no. 6 (2020): 277–86. http://dx.doi.org/10.1007/s00049-020-00317-1.

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Abstract Reliance on broad-spectrum insecticides and chemotherapeutic agents to control hematophagous insect vectors, and their related diseases is threatened by increasing insecticide and drug resistance, respectively. Thus, development of novel, alternative, complementary and effective technologies for surveillance and control of such insects is strongly encouraged. Semiochemicals are increasingly developed for monitoring and intervention of insect crop pests, but this has not been adequately addressed for hematophagous insects of medical and veterinary importance. This review provides an in

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Hou, Hui-Rang, Rui-Xue Han, Xiao-Nei Zhang, and Qing-Hao Meng. "Pleasantness Recognition Induced by Different Odor Concentrations Using Olfactory Electroencephalogram Signals." Sensors 22, no. 22 (2022): 8808. http://dx.doi.org/10.3390/s22228808.

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Olfactory-induced emotion plays an important role in communication, decision-making, multimedia, and disorder treatment. Using electroencephalogram (EEG) technology, this paper focuses on (1) exploring the possibility of recognizing pleasantness induced by different concentrations of odors, (2) finding the EEG rhythm wave that is most suitable for the recognition of different odor concentrations, (3) analyzing recognition accuracies with concentration changes, and (4) selecting a suitable classifier for this classification task. To explore these issues, first, emotions induced by five differen

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Mayer, Christoph J., Andreas Vilcinskas, and Jürgen Gross. "Phytopathogen Lures Its Insect Vector by Altering Host Plant Odor." Journal of Chemical Ecology 34, no. 8 (2008): 1045–49. http://dx.doi.org/10.1007/s10886-008-9516-1.

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16

Jiang, Wei, and Daqi Gao. "Five Typical Stenches Detection Using an Electronic Nose." Sensors 20, no. 9 (2020): 2514. http://dx.doi.org/10.3390/s20092514.

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This paper deals with the classification of stenches, which can stimulate olfactory organs to discomfort people and pollute the environment. In China, the triangle odor bag method, which only depends on the state of the panelist, is widely used in determining odor concentration. In this paper, we propose a stenches detection system composed of an electronic nose and machine learning algorithms to discriminate five typical stenches. These five chemicals producing stenches are 2-phenylethyl alcohol, isovaleric acid, methylcyclopentanone, γ-undecalactone, and 2-methylindole. We will use random fo

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17

Hawaria, Dawit, Dante Santiago, and Delnesaw Yewhalaw. "Efficient attractants and simple odor-baited sticky trap for surveillance of Anopheles arabiensis Patton mosquito in Ethiopia." Journal of Infection in Developing Countries 10, no. 01 (2016): 82–89. http://dx.doi.org/10.3855/jidc.6841.

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Introduction: Many efforts have been made to ease the burden of malaria through vector control, among whichis the development of odor-baited traps and evaluation of efficient attractants that could replace host odor. However, most traps and evaluated attractants are expensive, which poor communities cannot afford. This study was conductedwith the aim to devise asimple and affordable odor-baited trap and to investigate effective but affordable attractants for trapping Anopheles arabiensis. Methodology: First, an odor-baited sticky trap was developed; next, an experimental study with randomized

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Ray, Garrett, Robert M. Huff, John S. Castillo, Anthony J. Bellantuono, Matthew DeGennaro, and R. Jason Pitts. "Carboxylic acids that drive mosquito attraction to humans activate ionotropic receptors." PLOS Neglected Tropical Diseases 17, no. 6 (2023): e0011402. http://dx.doi.org/10.1371/journal.pntd.0011402.

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The mosquito, Aedes aegypti, is highly anthropophilic and transmits debilitating arboviruses within human populations and between humans and non-human primates. Female mosquitoes are attracted to sources of blood by responding to odor plumes that are emitted by their preferred hosts. Acidic volatile compounds, including carboxylic acids, represent particularly salient odors driving this attraction. Importantly, carboxylic acids are major constituents of human sweat and volatiles generated by skin microbes. As such, they are likely to impact human host preference, a dominant factor in disease t

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19

Choi, Sang-Il, and Gu-Min Jeong. "A Discriminant Distance Based Composite Vector Selection Method for Odor Classification." Sensors 14, no. 4 (2014): 6938–51. http://dx.doi.org/10.3390/s140406938.

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Galán, Roberto Fdez, Silke Sachse, C. Giovanni Galizia, and Andreas V. M. Herz. "Odor-Driven Attractor Dynamics in the Antennal Lobe Allow for Simple and Rapid Olfactory Pattern Classification." Neural Computation 16, no. 5 (2004): 999–1012. http://dx.doi.org/10.1162/089976604773135078.

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The antennal lobe plays a central role for odor processing in insects, as demonstrated by electrophysiological and imaging experiments. Here we analyze the detailed temporal evolution of glomerular activity patterns in the antennal lobe of honeybees. We represent these spatiotemporal patterns as trajectories in a multidimensional space, where each dimension accounts for the activity of one glomerulus. Our data show that the trajectories reach odor-specific steady states (attractors) that correspond to stable activity patterns at about 1 second after stimulus onset. As revealed by a detailed ma

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Zhang, Wenli, Fengchun Tian, An Song, Zhenzhen Zhao, Youwen Hu, and Anyan Jiang. "Continuous wide spectrum odor sensing for electronic nose system." Sensor Review 38, no. 2 (2018): 223–30. http://dx.doi.org/10.1108/sr-04-2017-0067.

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Purpose This paper aims to propose an odor sensing system based on wide spectrum for e-nose, based on comprehensive analysis on the merits and drawbacks of current e-nose. Design/methodology/approach The wide spectral light is used as the sensing medium in the e-nose system based on continuous wide spectrum (CWS) odor sensing, and the sensing response of each sensing element is the change of light intensity distribution. Findings Experimental results not only verify the feasibility and effectiveness of the proposed system but also show the effectiveness of least square support vector machine (

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22

Wang, G., A. F. Carey, J. R. Carlson, and L. J. Zwiebel. "Molecular basis of odor coding in the malaria vector mosquito Anopheles gambiae." Proceedings of the National Academy of Sciences 107, no. 9 (2010): 4418–23. http://dx.doi.org/10.1073/pnas.0913392107.

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Zaitseva, N. V., I. V. May, D. А. Kiryanov, S. V. Kleyn, V. М. Chigvintsev, and А. А. Klyachin. "Methodical approaches to spatial identification of probable sources of obnoxious odors in ambient air based on fuzzy logic." Health Risk Analysis, no. 4 (December 2024): 14–26. https://doi.org/10.21668/health.risk/2024.4.02.eng.

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The article describes a task of searching for an unknown source of odor pollution. This task is classified as ‘considerably uncertain’, for which formal solution is proposed. The issue of obnoxious odor is relevant for many residential areas in large cities and industrial centers. Despite strict governmental control of emissions, including those from recycling facilities, undetermined pollution sources often become a reason for numerous people’s complaints. Odor pollution is known to affect human health including the respiratory, cardiovascular and nervous systems; to reduce life quality and a

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Zaitseva, N. V., I. V. May, D. А. Kiryanov, S. V. Kleyn, V. М. Chigvintsev, and А. А. Klyachin. "Methodical approaches to spatial identification of probable sources of obnoxious odors in ambient air based on fuzzy logic." Health Risk Analysis, no. 4 (December 2024): 14–26. https://doi.org/10.21668/health.risk/2024.4.02.

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The article describes a task of searching for an unknown source of odor pollution. This task is classified as ‘considerably uncertain’, for which formal solution is proposed. The issue of obnoxious odor is relevant for many residential areas in large cities and industrial centers. Despite strict governmental control of emissions, including those from recycling facilities, undetermined pollution sources often become a reason for numerous people’s complaints. Odor pollution is known to affect human health including the respiratory, cardiovascular and nervous systems; to reduce life quality and a

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Nimsuk, Nitikarn. "Application of Electronic Nose for Classification of Fish Sauces Using Transient Responses and Learning Vector Quantization Algorithm." Advanced Materials Research 931-932 (May 2014): 1582–86. http://dx.doi.org/10.4028/www.scientific.net/amr.931-932.1582.

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Fish sauce is one of the signature condiments in various cuisines in many countries. In this paper, fish sauces are successfully classified into groups depending on their quality indicated by the level of total nitrogen content. We introduce an electronic nose technology together with a neural network algorithm to the classification of fish sauces. The transient responses are used as features for the creation of pattern vectors for odor samples. The result of principal component analysis shows well-separated patterns of fish sauce. Furthermore, we also apply the learning vector quantization me

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Metz, Hillery C., Jessica L. Zung, and Carolyn S. McBride. "QuantifyingAedes aegyptiHost Odor Preference Using a Two-Port Olfactometer." Cold Spring Harbor Protocols 2023, no. 5 (2023): pdb.top107661. http://dx.doi.org/10.1101/pdb.top107661.

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Blood-feeding mosquitoes are a leading threat to global public health—vectoring dangerous infections including Zika, dengue, and malaria. Mosquitoes identify and target hosts for blood meals by using visual, thermal, and chemical cues. Here we describe an assay for measuring odor-based host-preference behavior—that is, the preferential approach toward one host over another based on differences in the volatile compounds they emit. The assay can be adapted for use with diverse odor sources, from live animals and their breath to odor-scented sleeves with controlled amounts of CO2. Mosquitoes in t

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Giraldo, Diego, and Conor J. McMeniman. "Quantification ofAnopheles gambiaeOlfactory Preferences under Semi-Field Conditions." Cold Spring Harbor Protocols 2024, no. 4 (2023): pdb.prot108304. http://dx.doi.org/10.1101/pdb.prot108304.

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Anopheles gambiaeis a highly anthropophilic (human-preferring) malaria vector that prefers to blood feed frequently and selectively on humans. This mosquito species exhibits a strong innate olfactory preference to seek out human scent over other animals, and certain humans over others—key behavioral traits with the potential to drive heterogeneity in biting risk and malaria transmission. Here, we describe the application of a large-scale, semi-field system in Zambia for the quantification ofAn. gambiaeolfactory preferences toward whole body odor sourced from individual humans. We detail steps

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Liu, Taoping, Wentian Zhang, Peter McLean, Maiken Ueland, Shari L. Forbes, and Steven W. Su. "Electronic Nose-Based Odor Classification using Genetic Algorithms and Fuzzy Support Vector Machines." International Journal of Fuzzy Systems 20, no. 4 (2018): 1309–20. http://dx.doi.org/10.1007/s40815-018-0449-8.

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Yan, Luchun, Jiemin Liu, and Di Fang. "Use of a Modified Vector Model for Odor Intensity Prediction of Odorant Mixtures." Sensors 15, no. 3 (2015): 5697–709. http://dx.doi.org/10.3390/s150305697.

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Lu, Tan, Yu Tong Qiu, Guirong Wang, et al. "Odor Coding in the Maxillary Palp of the Malaria Vector Mosquito Anopheles gambiae." Current Biology 17, no. 18 (2007): 1533–44. http://dx.doi.org/10.1016/j.cub.2007.07.062.

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Wang, Fangyi, Haiying Hu, Yunru Luo, Xiangdong Lei, Di Wu, and Jie Jiang. "Monitoring of Urban Black-Odor Water Using UAV Multispectral Data Based on Extreme Gradient Boosting." Water 14, no. 21 (2022): 3354. http://dx.doi.org/10.3390/w14213354.

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During accelerated urbanization, the lack of attention to environmental protection and governance led to the formation of black-odor water. The existence of urban black-odor water not only affects the cityscape, but also threatens human health and damages urban ecosystems. The black-odor water bodies are small and hidden, so they require large-scale and high-resolution monitoring which offers a temporal and spatial variation of water quality frequently, and the unmanned aerial vehicle (UAV) with a multispectral instrument is up to the monitoring task. In this paper, the Nemerow comprehensive p

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Liu, Huixiang, Qing Li, Bin Yan, Lei Zhang, and Yu Gu. "Bionic Electronic Nose Based on MOS Sensors Array and Machine Learning Algorithms Used for Wine Properties Detection." Sensors 19, no. 1 (2018): 45. http://dx.doi.org/10.3390/s19010045.

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In this study, a portable electronic nose (E-nose) prototype is developed using metal oxide semiconductor (MOS) sensors to detect odors of different wines. Odor detection facilitates the distinction of wines with different properties, including areas of production, vintage years, fermentation processes, and varietals. Four popular machine learning algorithms—extreme gradient boosting (XGBoost), random forest (RF), support vector machine (SVM), and backpropagation neural network (BPNN)—were used to build identification models for different classification tasks. Experimental results show that BP

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Seol, Daun, Daeil Jang, Kyungjoon Cha, Jin-Woo Oh, and Hoeil Chung. "Use of Multiple Bacteriophage-Based Structural Color Sensors to Improve Accuracy for Discrimination of Geographical Origins of Agricultural Products." Sensors 21, no. 3 (2021): 986. http://dx.doi.org/10.3390/s21030986.

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A single M13 bacteriophage color sensor was previously utilized for discriminating the geographical origins of agricultural products (garlic, onion, and perilla). The resulting discrimination accuracy was acceptable, ranging from 88.6% to 94.0%. To improve the accuracy further, the use of three separate M13 bacteriophage color sensors containing different amino acid residues providing unique individual color changes (Wild sensor: glutamic acid (E)-glycine (G)-aspartic acid (D), WHW sensor: tryptophan (W)-histidine (H)-tryptophan (W), 4E sensor: four repeating glutamic acids (E)) was proposed.

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Knols, Bart G. J., Arnel Posada, Mark J. Sison, Johan M. H. Knols, Nila F. A. Patty, and Akib Jahir. "Rapid Elimination of Aedes aegypti and Culex quinquefasciatus Mosquitoes from Puerco Island, Palawan, Philippines with Odor-Baited Traps." Insects 14, no. 9 (2023): 730. http://dx.doi.org/10.3390/insects14090730.

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Globalization and climate change are key drivers for arboviral and parasitic infectious diseases to expand geographically, posing a growing threat to human health and biodiversity. New non-pesticidal approaches are urgently needed because of increasing insecticide resistance and the negative human and environmental health impacts of synthetic pyrethroids used for fogging. Here, we report the complete and rapid removal of two mosquito species (Aedes aegypti L. and Culex quinquefasciatus Say), both arboviral disease vectors, with odor-baited mosquito traps (at a density of 10 traps/hectare) from

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Na Songkhla, Sawit, and Takamichi Nakamoto. "Interpretation of Quartz Crystal Microbalance Behavior with Viscous Film Using a Mason Equivalent Circuit." Chemosensors 9, no. 1 (2021): 9. http://dx.doi.org/10.3390/chemosensors9010009.

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In odor sensing based on Quartz Crystal Microbalances (QCMs), the sensing film is crucial for both sensor sensitivity and selectivity. The typical response of the QCM due to sorption is a negative frequency shift. However, in some cases, the sorption causes a positive frequency shift, and then, Sauerbrey’s equation and Kanazawa’s equation cannot be applied to this situation. We model the QCM response with a Mason equivalent circuit. The model approximates a single layer of a uniform viscous coating on the QCM. The simulation of the equation circuit shows the possibility of the positive frequen

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Wang, Wei, Weizhen Yang, Maozhen Li, Zipeng Zhang, and Wenbin Du. "A Novel Approach for Apple Freshness Prediction Based on Gas Sensor Array and Optimized Neural Network." Sensors 23, no. 14 (2023): 6476. http://dx.doi.org/10.3390/s23146476.

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Apple is an important cash crop in China, and the prediction of its freshness can effectively reduce its storage risk and avoid economic loss. The change in the concentration of odor information such as ethylene, carbon dioxide, and ethanol emitted during apple storage is an important feature to characterize the freshness of apples. In order to accurately predict the freshness level of apples, an electronic nose system based on a gas sensor array and wireless transmission module is designed, and a neural network prediction model using an improved Sparrow Search Algorithm (SSA) based on chaotic

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Eilerts, Diane, Morgen VanderGiessen, Elizabeth Bose, Kyera Broxton, and Clément Vinauger. "Odor-Specific Daily Rhythms in the Olfactory Sensitivity and Behavior of Aedes aegypti Mosquitoes." Insects 9, no. 4 (2018): 147. http://dx.doi.org/10.3390/insects9040147.

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Many biological processes and behaviors in mosquitoes display rhythmic patterns, allowing for fine tuning to cyclic environmental conditions. In mosquitoes, vector-host interactions are primarily mediated by olfactory signals. Previous studies have established that, in the malaria vector Anopheles gambiae, rhythmic expression of odorant binding proteins and takeout proteins in the antenna resulted in a corresponding rhythm in olfactory sensitivity to relevant host odors. However, it remained unclear how rhythms observed in olfactory sensitivity affect or explain rhythms in behavioral output, w

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Gaurav, Kumar, Ajay Kumar, and Ram Dayal. "Veco-Taxis as a Novel Engineered Algorithm for Odor Source Localization." International Journal of Ambient Computing and Intelligence 11, no. 2 (2020): 1–29. http://dx.doi.org/10.4018/ijaci.2020040101.

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Algorithms with limited intelligence are unable to localize an odor source in an indoor environment with weak or no airflow. Stage wise solutions to odor source localization has been provided with a novel engineered algorithm called veco-taxis for plume traversal. It finds turn angles by calculating concentration gradients using vector algebra-based search algorithms. Levy walk is used in the plume finding phase. The concept of last chemical detection points (LCDPs) has been adopted for source declaration. The success rate of implemented algorithms is quantified using minimum and maximum move

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Liu, Zhitong, Hao Feng, Xiaohe Liu, et al. "Smelly communication between haemaphysalis longicornis and infected hosts with indolic odorants: A case from severe fever with thrombocytopenia syndrome virus." PLOS Neglected Tropical Diseases 19, no. 6 (2025): e0013139. https://doi.org/10.1371/journal.pntd.0013139.

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Objects Vector ticks’ perception of characteristic odors emitted by infected hosts is key to understand tick’s foraging behavior for infected host and design odor-based control strategies for tick-borne diseases. Methods Laboratory mice knocked out for type I interferon (IFN) receptors (Ifnar-/-) were used to develop a simulated host by intraperitoneal infection with Bandavirus dabieense (SFTSV). Urine and fecal samples were collected 4 days post-infection and analyzed to detect differential volatile metabolites (DVMs) during infection. Next, the two salient odor cues among the SFTSV-induced h

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Lipshutz, David, Aneesh Kashalikar, Shiva Farashahi, and Dmitri B. Chklovskii. "A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment." PLOS Computational Biology 19, no. 2 (2023): e1010864. http://dx.doi.org/10.1371/journal.pcbi.1010864.

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To adapt to their environments, animals learn associations between sensory stimuli and unconditioned stimuli. In invertebrates, olfactory associative learning primarily occurs in the mushroom body, which is segregated into separate compartments. Within each compartment, Kenyon cells (KCs) encoding sparse odor representations project onto mushroom body output neurons (MBONs) whose outputs guide behavior. Associated with each compartment is a dopamine neuron (DAN) that modulates plasticity of the KC-MBON synapses within the compartment. Interestingly, DAN-induced plasticity of the KC-MBON synaps

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SAKURABA, Yuichi, Junichi IDE, Takamichi NAKAMOTO, and Toyosaka MORIIZUMI. "Selection of Odor Adsorption Films for Sensory Quantity Evaluation and Estimation Using Fuzzy Learning Vector Quantization." Transactions of the Society of Instrument and Control Engineers 31, no. 3 (1995): 357–63. http://dx.doi.org/10.9746/sicetr1965.31.357.

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Liang, Wei, Li Na Zhang, Xiao Wei Li, and Yan Di Zuo. "Research of Electronic Nose Pattern Recognition Algorithm Based on SVM." Applied Mechanics and Materials 220-223 (November 2012): 2244–47. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2244.

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In order to improve the recognition rate of the electronic nose system for small samples, an electronic nose pattern recognition algorithm based on support vector machine (SVM) is proposed in this paper. Identification experiments for three kinds of wine with similar odor were carried out. The sensor arrays are optimized by means of principal component analysis (PCA) method first. Then, make comparing experiment using different algorithms for different number of training samples of wine. The related results show that PCA-SVM based pattern recognition algorithms has high recognition accuracy, s

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Xiong, Yunwei, Yuhua Li, Chenyang Wang, et al. "Non-Destructive Detection of Chicken Freshness Based on Electronic Nose Technology and Transfer Learning." Agriculture 13, no. 2 (2023): 496. http://dx.doi.org/10.3390/agriculture13020496.

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As a non-destructive detection method, an electronic nose can be used to assess the freshness of meats by collecting and analyzing their odor information. Deep learning can automatically extract features and uncover potential patterns in data, minimizing the influence of subjective factors such as selecting features artificially. A transfer-learning-based model was proposed for the electronic nose to detect the freshness of chicken breasts in this study. First, a 3D-printed electronic nose system is used to collect the odor data from chicken breast samples stored at 4 °C for 1–7 d. Then, three

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Tolba, Ahmed, Nihal N. Mostafa, Ali Wagdy Mohamed, and Karam M. Sallam. "Hybrid Deep Learning Approach for Milk Quality Prediction." Precision Livestock 1 (January 9, 2024): 1–13. http://dx.doi.org/10.61356/j.pl.2024.1199.

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Milk quality prediction is considered a vital research area due to increase the need for obtain sustainable development goals. This study aims to predict milk quality by integrate gated recurrent units (GRUs) and residual network (ResNet). Our model was evaluated on milk quality prediction dataset with seven unique feature such as pH, temperature, taste, odor, fat, turbidity, and color. The prediction output is classified with high (Goog), Low (Bad), and Medium (Moderate) classes. Our model shows superior results with comparison with multi-layer perceptron (MLP), random forest (RF) and support

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Fang, Jiayi, Genfa Yu, Shengliang Liao, Songxing Zhang, Guangyong Zhu та Fengping Yi. "Using the β/α Ratio to Enhance Odor-Induced EEG Emotion Recognition". Applied Sciences 15, № 9 (2025): 4980. https://doi.org/10.3390/app15094980.

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Emotion recognition using an odor-induced electroencephalogram (EEG) has broad applications in human-computer interaction. However, existing studies often rely on subjective self-reporting to label emotion, lacking objective verification. While the β/α ratio has been identified as a potential objective indicator of arousal in EEG spectral analysis, its value in emotion recognition remains underexplored. This study ensured the authenticity of emotions through self-reporting and EEG spectral analysis of 50 adults after inhaling sandalwood essential oil (SEO) or bergamot essential oil (BEO). Clas

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Avrunin, Oleg, Yana Nosova, Sergii Zlepko, Ibrahim Younouss Abdelhamid, and Nataliia Shushliapina. "ASSESSMENT OF THE DIAGNOSTIC VALUE OF THE METHOD OF COMPUTER OLFACTOMETRY." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 9, no. 3 (2019): 18–21. http://dx.doi.org/10.35784/iapgos.236.

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Olfactory studies can be a criterion for evaluating rhinosurgical intervention, and olfactory impairment may indicate respiratory impairment. Therefore, the urgent task is to develop an integrated approach to determining respiratory and olfactory disorders. A structural scheme was developed for the method of objective diagnosis of respiratory and olfactory disorders, taking into account the measu, rement of both the aerodynamic parameters of nasal breathing and the calculation of energy characteristics, which are used to determine olfactory sensitivity. The diagnostic significance of the propo

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Chen, Cheng-Hsuan, Kuo-Kai Shyu, Cheng-Kai Lu, Chi-Wen Jao, and Po-Lei Lee. "Classification of Prefrontal Cortex Activity Based on Functional Near-Infrared Spectroscopy Data upon Olfactory Stimulation." Brain Sciences 11, no. 6 (2021): 701. http://dx.doi.org/10.3390/brainsci11060701.

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The sense of smell is one of the most important organs in humans, and olfactory imaging can detect signals in the anterior orbital frontal lobe. This study assessed olfactory stimuli using support vector machines (SVMs) with signals from functional near-infrared spectroscopy (fNIRS) data obtained from the prefrontal cortex. These data included odor stimuli and air state, which triggered the hemodynamic response function (HRF), determined from variations in oxyhemoglobin (oxyHb) and deoxyhemoglobin (deoxyHb) levels; photoplethysmography (PPG) of two wavelengths (raw optical red and near-infrare

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Fahmi, Miftahuddin, Anton Yudhana, and Sunardi Sunardi. "Image Processing Using Morphology on Support Vector Machine Classification Model for Waste Image." MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer 22, no. 3 (2023): 553–66. http://dx.doi.org/10.30812/matrik.v22i3.2819.

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Sorting waste has always been an important part of managing waste. The primary issue with the waste sorting process has been the discomfort caused by prolonged contact with waste odor. A machinelearning method for identifying waste types was created to address this issue. The study’s goal was to create machine learning to solve waste management challenges by applying the most accurate categorization model available. The research approach was the quantitative analysis of the classification model accuracy. The Kaggle dataset was used to collect and curate data, which was subsequently preprocesse

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Zhou, Sujuan, Huajian Lin, and Jiang Meng. "Discrimination and chemical composition quantitative model of Raw Moutan Cortex and Moutan Cortex Carbon based on electronic nose and machine learning." Mathematical Biosciences and Engineering 19, no. 9 (2022): 9079–97. http://dx.doi.org/10.3934/mbe.2022422.

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<abstract> <p>Raw Moutan Cortex (RMC) is a traditional medicinal material commonly used in China. Moutan Cortex Carbon (MCC) is a processed product of RMC by stir-frying. As raw and processed products of the same Chinese herb pieces, they have different effects. RMC has the effects of clearing heat and cooling blood, promoting blood circulation and removing blood stasis, but MCC has the contrary effect of cooling blood and hemostasis. Therefore, it is necessary to distinguish them effectively. The traditional quality evaluation method of RMC and MCC still adopts character identific

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Zhang, Yang, Lei Zhang, Yabin Ma, Jinsen Guan, Zhaoxia Liu, and Jihui Liu. "Research on dairy products detection based on machine learning algorithm." MATEC Web of Conferences 355 (2022): 03008. http://dx.doi.org/10.1051/matecconf/202235503008.

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In this study, an electronic nose model composed of seven kinds of metal oxide semiconductor sensors was developed to distinguish the milk source (the dairy farm to which milk belongs), estimate the content of milk fat and protein in milk, to identify the authenticity and evaluate the quality of milk. The developed electronic nose is a low-cost and non-destructive testing equipment. (1) For the identification of milk sources, this paper uses the method of combining the electronic nose odor characteristics of milk and the component characteristics to distinguish different milk sources, and uses

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