Relevant bibliographies by topics / Uncontrolled environments

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Uncontrolled environments'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 January 2023

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Journal articles on the topic "Uncontrolled environments"

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Abbas, Ali, Michael Haslgrübler, Abdul Mannan Dogar, and Alois Ferscha. "Micro Activities Recognition in Uncontrolled Environments." Applied Sciences 11, no. 21 (2021): 10327. http://dx.doi.org/10.3390/app112110327.

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Deep learning has proven to be very useful for the image understanding in efficient manners. Assembly of complex machines is very common in industries. The assembly of automated teller machines (ATM) is one of the examples. There exist deep learning models which monitor and control the assembly process. To the best of our knowledge, there exists no deep learning models for real environments where we have no control over the working style of workers and the sequence of assembly process. In this paper, we presented a modified deep learning model to control the assembly process in a real-world en
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Hernández-Rabadán, Deny Lizbeth. "Method for Segmenting Tomato Plants in Uncontrolled Environments." Engineering 04, no. 10 (2012): 599–606. http://dx.doi.org/10.4236/eng.2012.410076.

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Martins, Pedro, José Silvestre Silva, and Alexandre Bernardino. "Multispectral Facial Recognition in the Wild." Sensors 22, no. 11 (2022): 4219. http://dx.doi.org/10.3390/s22114219.

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This work proposes a multi-spectral face recognition system in an uncontrolled environment, aiming to identify or authenticate identities (people) through their facial images. Face recognition systems in uncontrolled environments have shown impressive performance improvements over recent decades. However, most are limited to the use of a single spectral band in the visible spectrum. The use of multi-spectral images makes it possible to collect information that is not obtainable in the visible spectrum when certain occlusions exist (e.g., fog or plastic materials) and in low- or no-light enviro
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Shafait, Faisal, Ajmal Mian, Mark Shortis, et al. "Fish identification from videos captured in uncontrolled underwater environments." ICES Journal of Marine Science: Journal du Conseil 73, no. 10 (2016): 2737–46. http://dx.doi.org/10.1093/icesjms/fsw106.

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Monroy, Javier G., Esteban J. Palomo, Ezequiel López-Rubio, and Javier Gonzalez-Jimenez. "Continuous chemical classification in uncontrolled environments with sliding windows." Chemometrics and Intelligent Laboratory Systems 158 (November 2016): 117–29. http://dx.doi.org/10.1016/j.chemolab.2016.08.011.

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Gunawan, Alexander Agung Santoso, and Reza A. Prasetyo. "Face Recognition Performance in Facing Pose Variation." CommIT (Communication and Information Technology) Journal 11, no. 1 (2017): 1. http://dx.doi.org/10.21512/commit.v11i1.1847.

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There are many real world applications of face recognition which require good performance in uncontrolled environments such as social networking, and environment surveillance. However, many researches of face recognition are done in controlled situations. Compared to the controlled environments, face recognition in uncontrolled environments comprise more variation, for example in the pose, light intensity, and expression. Therefore, face recognition in uncontrolled conditions is more challenging than in controlled settings. In thisresearch, we would like to discuss handling pose variations in
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Edwards, Dalton J., and Logan T. Trujillo. "An Analysis of the External Validity of EEG Spectral Power in an Uncontrolled Outdoor Environment during Default and Complex Neurocognitive States." Brain Sciences 11, no. 3 (2021): 330. http://dx.doi.org/10.3390/brainsci11030330.

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Traditionally, quantitative electroencephalography (QEEG) studies collect data within controlled laboratory environments that limit the external validity of scientific conclusions. To probe these validity limits, we used a mobile EEG system to record electrophysiological signals from human participants while they were located within a controlled laboratory environment and an uncontrolled outdoor environment exhibiting several moderate background influences. Participants performed two tasks during these recordings, one engaging brain activity related to several complex cognitive functions (numb
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Botero-Valencia, Juan, Luis Castano-Londono, and David Marquez-Viloria. "Indoor Temperature and Relative Humidity Dataset of Controlled and Uncontrolled Environments." Data 7, no. 6 (2022): 81. http://dx.doi.org/10.3390/data7060081.

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The large volume of data generated with the increasing development of Internet of Things applications has encouraged the development of a large number of works related to data management, wireless communication technologies, the deployment of sensor networks with limited resources, and energy consumption. Different types of new or well-known algorithms have been used for the processing and analysis of data acquired through sensor networks, algorithms for compression, filtering, calibration, analysis, or variables being common. In some cases, databases available on the network, public governmen
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Hum, Yan Chai, Yee Kai Tee, Wun-She Yap, et al. "A contrast enhancement framework under uncontrolled environments based on just noticeable difference." Signal Processing: Image Communication 103 (April 2022): 116657. http://dx.doi.org/10.1016/j.image.2022.116657.

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Barcelo-Ordinas, Jose M., Messaoud Doudou, Jorge Garcia-Vidal, and Nadjib Badache. "Self-calibration methods for uncontrolled environments in sensor networks: A reference survey." Ad Hoc Networks 88 (May 2019): 142–59. http://dx.doi.org/10.1016/j.adhoc.2019.01.008.

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Dissertations / Theses on the topic "Uncontrolled environments"

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Fu, Y. "Face recognition in uncontrolled environments." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1468901/.

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This thesis concerns face recognition in uncontrolled environments in which the images used for training and test are collected from the real world instead of laboratories. Compared with controlled environments, images from uncontrolled environments contain more variation in pose, lighting, expression, occlusion, background, image quality, scale, and makeup. Therefore, face recognition in uncontrolled environments is much more challenging than in controlled conditions. Moreover, many real world applications require good recognition performance in uncontrolled environments. Example applications
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Yao, Yi. "Hand gesture recognition in uncontrolled environments." Thesis, University of Warwick, 2014. http://wrap.warwick.ac.uk/74268/.

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Human Computer Interaction has been relying on mechanical devices to feed information into computers with low efficiency for a long time. With the recent developments in image processing and machine learning methods, the computer vision community is ready to develop the next generation of Human Computer Interaction methods, including Hand Gesture Recognition methods. A comprehensive Hand Gesture Recognition based semantic level Human Computer Interaction framework for uncontrolled environments is proposed in this thesis. The framework contains novel methods for Hand Posture Recognition, Hand G
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Huerta, Casado Ivan. "Foreground Object Segmentation and Shadow Detection for Video Sequences in Uncontrolled Environments." Doctoral thesis, Universitat Autònoma de Barcelona, 2010. http://hdl.handle.net/10803/5797.

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Aquesta tesis esta dividida en dos parts principalment. A la primera, es presenta un estudi dels problemes que es poden trobar en la segmentació per moviment, basant-se en aquest estudi es presenta un algoritme genèric el qual es capaç de solucionar d'una forma acurada la majoria dels problemes que es poden trobar en aquest tipus de segmentació. En la segona part, es tracta el tema de les ombres en profunditat. Primer, es presenta un algoritme bottom-up basat en un detector de ombres cromàtiques el qual es capaç no només de solucionar les ombres que es troben a la penombra, sinó també les ombr
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Moore, Kristin Suzanne. "Comparison of eye movement data to direct measures of situation awareness for development of a novel measurement technique in dynamic, uncontrolled test environments." Connect to this title online, 2009. http://etd.lib.clemson.edu/documents/1263402095/.

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Fathi, Kazerouni Masoud [Verfasser], and Klaus-Dieter [Gutachter] Kuhnert. "Fully-automated plant recognition systems in challenging controlled and uncontrolled environments using classical and Deep Learning methods / Masoud Fathi Kazerouni ; Gutachter: Klaus-Dieter Kuhnert." Siegen : Universitätsbibliothek der Universität Siegen, 2019. http://d-nb.info/1208506811/34.

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Svens, Lisa. "Mathematical Analysis of Intensity Based Segmentation Algorithms with Implementations on Finger Images in an Uncontrolled Environment." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-43650.

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The main task of this thesis is to perform image segmentation on images of fingers to partition the image into two parts, one with the fingers and one with all that is not fingers. First, we present the theory behind several well-used image segmentation methods, such as SNIC superpixels, the k-means algorithm, and the normalised cut algorithm. These have then been implemented and tested on images of fingers and the results are shown. The implementations are unfortunately not stable and give segmentations of varying results.
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Braga, Marilita Gnecco de Camargo. "The vehicle driver's perception of attributes of the road environment that influence safety at four-arm uncontrolled junctions." Thesis, Imperial College London, 1990. http://hdl.handle.net/10044/1/47784.

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BLACK, DAVID PAUL. "SYNERGIES IN WITHIN- AND BETWEEN-PERSON INTERLIMB RHYTHMIC COORDINATION: EFFECTS OF COORDINATION STABILITY AND ENVIRONMENTAL ANCHORING." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1129553094.

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Yu, Xiezhi. "Assessment and bioremediation of solis contaminated by uncontrolled recycling of electronic-waste at Guiyu, SE China." HKBU Institutional Repository, 2008. http://repository.hkbu.edu.hk/etd_ra/876.

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Junior, Jozias Rolim de Araújo. "Reconhecimento multibiométrico baseado em imagens de face parcialmente ocluídas." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/100/100131/tde-24122018-011508/.

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Com o avanço da tecnologia, as estratégias tradicionais para identificação de pessoas se tornaram mais suscetíveis a falhas. De forma a superar essas dificuldades algumas abordagens vêm sendo propostas na literatura. Dentre estas abordagens destaca-se a Biometria. O campo da Biometria abarca uma grande variedade de tecnologias usadas para identificar ou verificar a identidade de uma pessoa por meio da mensuração e análise de aspectos físicos e/ou comportamentais do ser humano. Em função disso, a biometria tem um amplo campo de aplicações em sistemas que exigem uma identificação segura de seus
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Books on the topic "Uncontrolled environments"

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Foley, W. J. Closeout of IE bulletin 80-10: Contamination of nonradioactive system and resulting potential for unmonitored, uncontrolled release of radioactivity to the environment. Division of Operational Events Assessment, Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission, 1990.

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Babina, Ol'ga. Theory, methodology and practice of regional strategic planning. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1738755.

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In the monograph, the region is presented as a complex, multilevel socio-economic system consisting of many heterogeneous, interacting economic entities of different levels (economic agents and markets, management, resources and economic processes), jointly organizing reproduction processes embedded in the economic space of the national economy on the local territory. Currently, the role of rational management of the socio-economic development of the region is increasing. In such conditions, it is advisable to use strategic planning, which, in turn, has increasingly been carried out using a si
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United States. Congress. House. Committee on Government Operations. Environment, Energy, and Natural Resources Subcommittee. The uncontrolled export of unregistered pesticides: Hearing before the Environment, Energy, and Natural Resources Subcommittee of the Committee on Government Operations, House of Representatives, One Hundred First Congress, first session, May 3, 1989. U.S. G.P.O., 1989.

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United States. Congress. House. Committee on Government Operations. Environment, Energy, and Natural Resources Subcommittee. The uncontrolled export of unregistered pesticides: Hearing before the Environment, Energy, and Natural Resources Subcommittee of the Committee on Government Operations, House of Representatives, One Hundred First Congress, first session, May 3, 1989. U.S. G.P.O., 1989.

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United States. Congress. House. Committee on Government Operations. Environment, Energy, and Natural Resources Subcommittee. The uncontrolled export of unregistered pesticides: Hearing before the Environment, Energy, and Natural Resources Subcommittee of the Committee on Government Operations, House of Representatives, One Hundred First Congress, first session, May 3, 1989. U.S. G.P.O., 1989.

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United States. Congress. House. Committee on Merchant Marine and Fisheries. Subcommittee on Fisheries and Wildlife Conservation and the Environment. High seas driftnet fishing: Hearing before the Subcommittee on Fisheries and Wildlife Conservation and the Environment of the Committee on Merchant Marine and Fisheries, House of Representatives, One Hundred Second Congress, first session, on the devastating effects that uncontrolled largescale driftnetting has had on the marine resources of the northern Pacific Ocean, August 6, 1991--Seattle, Washington. U.S. G.P.O., 1991.

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Oliveri, Stephen R. Field Safety in Uncontrolled Environments: A Process-Based Guidebook. American Association of Petroleum Geologists, 2005.

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Taylor, Elaine. Uncontrolled Environment. Dorrance Publishing Co., 2018.

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Center for Environmental Research Information (U.S.), ed. Approaches for remediation of uncontrolled wood preserving sites. Center for Environmental Research Information, Office of Research and Development, U.S. Environmental Protection Agency, 1990.

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Bulut, Mehmet, and Cem Korkut, eds. Döngüsel Ekonomi ve Sürdürülebilir Hayat. Turkish Academy of Sciences, 2022. http://dx.doi.org/10.53478/tuba.978-605-2249-97-0.

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The “circular economy” practices within the concept of sustainability offer solutions to the problem of uncontrolled production and irresponsible consumption that the world is trying to overcome. Approaches are being developed within the framework of circular economy in many areas from economy to environment, from education to local government policies, from finance to trade. The book “Circular Economy and Sustainable Living” discusses the circular economy conceptually and questions its necessity. Afterwards, it focuses on the applications of this concept with chapters written by experts in th
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Book chapters on the topic "Uncontrolled environments"

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Gangonda, Siddheshwar S., Prashant P. Patavardhan, and Kailash J. Karande. "Analysis of Face Recognition Algorithms for Uncontrolled Environments." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1513-8_93.

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Coimbra, Miguel, and João Paulo Silva Cunha. "Vital Responder – Wearable Sensing Challenges in Uncontrolled Critical Environments." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32778-0_4.

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Reck, Ryan, and Sherine Antoun. "Autonomous Robot Navigation with Fuzzy Logic in Uncontrolled Environments." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32523-7_18.

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Conde, Cristina, Isaac Martin de Diego, and Enrique Cabello. "Face Recognition in Uncontrolled Environments, Experiments in an Airport." In E-Business and Telecommunications. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35755-8_2.

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Santiago Ramírez, Everardo, J. C. Acosta-Guadarrama, Jose Manuel Mejía Muñoz, Josue Dominguez Guerrero, and J. A. Gonzalez-Fraga. "Facial Re-identification on Non-overlapping Cameras and in Uncontrolled Environments." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21077-9_16.

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Castelblanco, Alejandra, Jesus Solano, Christian Lopez, Esteban Rivera, Lizzy Tengana, and Martín Ochoa. "Machine Learning Techniques for Identity Document Verification in Uncontrolled Environments: A Case Study." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49076-8_26.

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Bakshi, Akshay, Sudhanshu Gulhane, Tanish Sawant, Vijay Sambhe, and Sandeep S. Udmale. "ALPR - An Intelligent Approach Towards Detection and Recognition of License Plates in Uncontrolled Environments." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-24848-1_18.

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Fields, Lindsay, and John Licato. "Combatting Conspiratorial Thinking with Controlled Argumentation Dialogue Environments." In The Pandemic of Argumentation. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-91017-4_15.

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AbstractThe COVID-19 pandemic has been associated with an explosion in misinformation, leading to increased interest in methods to combat the failures in critical thinking which make such misinformation so powerful. In combatting misinformation, simply throwing uncontrolled argumentation at the problem is often counter-productive, partially because the means by which people evaluate arguments are highly subject to cognitive biases. Such biases which promote jumping to unwarranted conclusions have been shown to correlate with conspiratorial belief. We consider the use of Controlled Argumentation Dialogue Environments (CADEs) as a means to mitigate cognitive biases which contribute to belief in COVID-19 conspiracy theories. We will discuss Warrant Game (WG) and Warrant Game for Analogies (WG-A), CADEs in which two arguers are presented with a divisive issue and two competing positions on that issue. They then compete by iteratively improving warrants for their arguments and attacking those of their opponents. The warrant, when made explicit, makes it easier to determine key features typically associated with argument strength and may reveal hidden assumptions or fundamental reasoning incompatibilities. By presenting an issue and positions which relate to conspiratorial thinking, CADEs may operate as an educational tool for breaking conspiratorial belief into core values and building cognitive skills.
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Yao, Yi, and Chang-Tsun Li. "Real-Time Hand Gesture Recognition for Uncontrolled Environments Using Adaptive SURF Tracking and Hidden Conditional Random Fields." In Advances in Visual Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41939-3_53.

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Ding, Yuqi, Nianyi Li, S. Susan Young, and Jinwei Ye. "Efficient 3D Face Recognition in Uncontrolled Environment." In Advances in Visual Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-33720-9_33.

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Conference papers on the topic "Uncontrolled environments"

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Podilchuk, Christine, William Hulbert, Ralph Flachsbart, and Lev Barinov. "Face recognition for uncontrolled environments." In SPIE Defense, Security, and Sensing, edited by B. V. K. Vijaya Kumar, Salil Prabhakar, and Arun A. Ross. SPIE, 2010. http://dx.doi.org/10.1117/12.851986.

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Mirzadeh, Seyed Iman, Jessica Ardo, Ramin Fallahzadeh, et al. "LabelMerger: Learning Activities in Uncontrolled Environments." In 2019 First International Conference on ​Transdisciplinary AI (TransAI). IEEE, 2019. http://dx.doi.org/10.1109/transai46475.2019.00019.

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Aghajanian, Jania, and Simon J. D. Prince. "Face Pose Estimation in Uncontrolled Environments." In British Machine Vision Conference 2009. British Machine Vision Association, 2009. http://dx.doi.org/10.5244/c.23.76.

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Simone, Gabriele, Marius Pedersen, and Jon Yngve Hardeberg. "Measuring perceptual contrast in uncontrolled environments." In 2010 2nd European Workshop on Visual Information Processing (EUVIP). IEEE, 2010. http://dx.doi.org/10.1109/euvip.2010.5699114.

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Zeng, Pingping, Yu-Jin Zhang, and Fei Duan. "Gender classification system in uncontrolled environments." In IS&T/SPIE Electronic Imaging, edited by Juha Röning, David P. Casasent, and Ernest L. Hall. SPIE, 2011. http://dx.doi.org/10.1117/12.872320.

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Cheng Zhong, Zhenan Sun, Tieniu Tan, and Zhaofeng He. "Robust 3D face recognition in uncontrolled environments." In 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2008. http://dx.doi.org/10.1109/cvpr.2008.4587646.

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Germann, Marcel, Tiberiu Popa, Remo Ziegler, Richard Keiser, and Markus Gross. "Space-Time Body Pose Estimation in Uncontrolled Environments." In 2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT). IEEE, 2011. http://dx.doi.org/10.1109/3dimpvt.2011.38.

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Moraes, André Ribeiro, and Clodoaldo Aparecido de Moraes Lima. "Facial Detection in Uncontrolled Environments: Systematic Literature Review." In SBSI 2021: XVII Brazilian Symposium on Information Systems. ACM, 2021. http://dx.doi.org/10.1145/3466933.3466992.

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da Silva Vieira, Gabriel, Fabrizzio A. A. M. N. Soares, Junio Cesar de Lima, et al. "Trunk Detection and Tree Disparity Calculation in Uncontrolled Environments." In 2019 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2019. http://dx.doi.org/10.1109/iscc47284.2019.8969574.

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Nefian, Ara V., Mehdi Khosravi, and Monson H. Hayes III. "Real-time detection of human faces in uncontrolled environments." In Electronic Imaging '97, edited by Jan Biemond and Edward J. Delp III. SPIE, 1997. http://dx.doi.org/10.1117/12.263232.

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Reports on the topic "Uncontrolled environments"

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Hugh I. Henderson, Jensen Zhang, James B. Cummings, and Terry Brennan. Mitigating the Impacts of Uncontrolled Air Flow on Indoor Environmental Quality and Energy Demand in Non-Residential Buildings. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/924486.

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Foley, W., R. Dean, and D. Hennick. Closeout of IE Bulletin 80-10: Contamination of nonradioactive system and resulting potential for unmonitored, uncontrolled release of radioactivity to the environment. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/7011675.

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