Relevant bibliographies by topics / BCS Classification

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

Academic literature on the topic 'BCS Classification'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "BCS Classification"

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Espasandin, Ana Carolina, Andrea Gimena Larracharte Cardoso, and Nicolás Pérez López. "Guided classification measurement of body condition in beef cows." Agrociencia Uruguay 27 (August 28, 2023): e1165. http://dx.doi.org/10.31285/agro.27.1165.

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The use of predictive techniques based on image acquisition at field level is presented to improve livestock production. With this, the farmer can plan the management of the herd and the need for supplemental feeding. The use of the Body Condition Score (BCS) measured by visual assessment has been proposed as a method of subjective evaluation of the nutritional status of cattle. Studies show that a good BCS at calving allows increases in the order of 10 to 15% in the following pregnancy rate of the herd. This increase has a significant impact on farm productivity. Although the benefits of the
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Dudhat, Kiran Rameshbhai. "Vital Medications in the World According to Preliminary BCS Classification: Prognostication of Solubility and Permeability." Journal of Clinical Trials and Regulations 4, no. 2 (2022): 1–19. http://dx.doi.org/10.46610/jctr.2022.v04i02.001.

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The Biopharmaceutical Classification System (BCS) has been used as a predictive method to evaluate potential formulation impacts on oral medication bioavailability in humans. The BCS can assist in the prediction of in vivo product performance and the construction of mechanistic models that enable formulation assessments through the generation of scenarios when used in conjunction with in vitro dissolution testing. The applicability of current human BCS standards has not yet been examined in dogs, which restricts its application in canine medication development. The BCS has had a significant im
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Biopharmaceutical, Classification System dissolution permeability Gastrointestinal track ., and J. Bhor1 Rashid Azeez2 Vinod A. Bairagi3 Kalyani. "Review: Biopharmaceutical Classification System." International Journal in Pharmaceutical Sciences 2, no. 3 (2024): 350–66. https://doi.org/10.5281/zenodo.10810211.

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Dr. Gordon Amidon developed the Biopharmaceutical Classification System (BCS) to classify pharmacological compounds based on their solubility in water and intestinal permeability. His work in this area earned him the Science Award from the International Pharmaceutical Federation (FIP) in August 2006. The BCS has since been used by the U.S. Food and Drug Administration to estimate the absorption of oral medications in the intestines. It has become an indispensable tool in regulatory decision-making for drug development, allowing for the evaluation of dissolution, solubility, and intestinal perm
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Dandıl, Emre, Kerim Kürşat Çevik, and Mustafa Boğa. "Automated Classification System Based on YOLO Architecture for Body Condition Score in Dairy Cows." Veterinary Sciences 11, no. 9 (2024): 399. http://dx.doi.org/10.3390/vetsci11090399.

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Body condition score (BCS) is a common tool used to assess the welfare of dairy cows and is based on scoring animals according to their external appearance. If the BCS of dairy cows deviates from the required value, it can lead to diseases caused by metabolic problems in the animal, increased medication costs, low productivity, and even the loss of dairy cows. BCS scores for dairy cows on farms are mostly determined by observation based on expert knowledge and experience. This study proposes an automatic classification system for BCS determination in dairy cows using the YOLOv8x deep learning
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L. Prasanna Tarivitla and M. Sunitha Reddy. "An Overview of the Biopharmaceutics Classification System (BCS)." GSC Biological and Pharmaceutical Sciences 14, no. 2 (2021): 217–21. http://dx.doi.org/10.30574/gscbps.2021.14.2.0012.

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The Biopharmaceutics Classification System (BCS) is an essential tool in pharmaceutical sciences, providing a scientific framework for classifying drugs based on their solubility and permeability characteristics. This system, developed in 1995, helps streamline drug development and regulatory approval processes by predicting in vivo drug performance from in vitro data. This paper reviews the four BCS classes, their solubility and permeability criteria, detailed procedures for determining these characteristics, and suitable formulation strategies for each class. Additionally, it explores the co
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Ifould, Peta, and Pauline Joseph. "User difficulties working with a business classification scheme: a case study." Records Management Journal 26, no. 1 (2016): 21–37. http://dx.doi.org/10.1108/rmj-03-2015-0011.

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Purpose – The purpose of this paper is to provide a unique perspective into user difficulties working with the functional business classification scheme (BCS) to register, search and retrieve corporate information at the Western Australia Police (WA Police). Design/methodology/approach – This paper is a single case study. Questionnaire and interview data were collected and analysed from a sample of ten EDRMS users on their perspectives of working with the BCS. An interpretive analysis methodology was used, and inductive reasoning was used for thematic analysis and sense making of the textual d
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Kus-Slowinska, Marta, Monika Wrzaskowska, Izabela Ibragimow, Piotr Igor Czaklosz, Anna Olejnik, and Hanna Piotrowska-Kempisty. "Solubility, Permeability, and Dissolution Rate of Naftidrofuryl Oxalate Based on BCS Criteria." Pharmaceutics 12, no. 12 (2020): 1238. http://dx.doi.org/10.3390/pharmaceutics12121238.

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The Biopharmaceutics Classification System (BCS) was conceived to classify drug substances by their in vitro aqueous solubility and permeability properties. The essential activity of naftidrofuryl oxalate (NF) has been described as the inhibition of the serotonin receptors (5-HT2), resulting in vasodilation and decreasing blood pressure. Since the early 1980s, NF has been used to treat several venous and cerebral diseases. There is no data available on the BCS classification of NF. However, based on its physical-chemical properties, NF might be considered to belong to the 1st or the 3rd BCS cl
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Sabra, Rayan, Daniel Kirby, Vikram Chouk, Kleta Malgorzata, and Afzal R. Mohammed. "Buccal Absorption of Biopharmaceutics Classification System III Drugs: Formulation Approaches and Mechanistic Insights." Pharmaceutics 16, no. 12 (2024): 1563. https://doi.org/10.3390/pharmaceutics16121563.

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Buccal drug delivery emerges as a promising strategy to enhance the absorption of drugs classified under the Biopharmaceutics Classification System (BCS) Class III, characterized by high solubility and low permeability. However, addressing the absorption challenges of BCS Class III drugs necessitates innovative formulation strategies. This review delves into optimizing buccal drug delivery for BCS III drugs, focusing on various formulation approaches to improve absorption. Strategies such as permeation enhancers, mucoadhesive polymers, pH modifiers, ion pairing, and prodrugs are systematically
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Miranda, Claudia, Alexis Aceituno, Mirna Fernández, et al. "ICH Guideline for Biopharmaceutics Classification System-Based Biowaiver (M9): Toward Harmonization in Latin American Countries." Pharmaceutics 13, no. 3 (2021): 363. http://dx.doi.org/10.3390/pharmaceutics13030363.

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The biopharmaceutical classification system (BCS) is a very important tool to replace the traditional in vivo bioequivalence studies with in vitro dissolution assays during multisource product development. This paper compares the most recent harmonized guideline for biowaivers based on the biopharmaceutics classification system and the BCS regulatory guidelines in Latin America and analyzes the current BCS regulatory requirements and the perspective of the harmonization in the region to develop safe and effective multisource products. Differences and similarities between the official and publi
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Semakula, Jimmy, Rene A. Corner-Thomas, Stephen T. Morris, Hugh T. Blair, and Paul R. Kenyon. "Application of Machine Learning Algorithms to Predict Body Condition Score from Liveweight Records of Mature Romney Ewes." Agriculture 11, no. 2 (2021): 162. http://dx.doi.org/10.3390/agriculture11020162.

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Body condition score (BCS) in sheep (Ovis aries) is a widely used subjective measure of the degree of soft tissue coverage. Body condition score and liveweight are statistically related in ewes; therefore, it was hypothesized that BCS could be accurately predicted from liveweight using machine learning models. Individual ewe liveweight and body condition score data at each stage of the annual cycle (pre-breeding, pregnancy diagnosis, pre-lambing and weaning) at 43 to 54 months of age were used. Nine machine learning (ML) algorithms (ordinal logistic regression, multinomial regression, linear d
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Dissertations / Theses on the topic "BCS Classification"

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Pujari, Twarita Anil. "Cocrystals of nutraceuticals: Protocatechuic acid and quercetin." Scholar Commons, 2009. http://scholarcommons.usf.edu/etd/2156.

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The cocrystallization of two or more pure compounds by crystal engineering to create a new functional material is of a great academic and industrial interest. Pharmaceutical cocrystallization has allured a lot of attention by means of altering the physicochemical properties of Active Pharmaceutical Ingredient (API) such as solubility, stability and bioavailability. Crystal engineering of nutraceuticals can produce novel compounds such as pharmaceutical cocrystals. To establish the importance of nutraceutical cocrystallization and its use; polyphenols, a major class of nutraceuticals and potent
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Männel, Michael. "Condensation phenomena in interacting Fermi and Bose gases." Doctoral thesis, Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-77738.

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In dieser Dissertation werden das Anregungsspektrum und das Phasendiagramm wechselwirkender Fermi- und Bosegase untersucht. Zu diesem Zweck wird eine neuartige renormierte Kadanoff-Martin-Näherung vorgestellt, die Selbstwechselwirkung von Teilchen vermeidet und somit eine einheitliche Beschreibung sowohl der normalen als auch der kondensierten Phase ermöglicht. Für Fermionen findet man den BCS-Zustand, benannt nach Bardeen, Cooper und Schrieffer, welcher entscheidend ist für das Phänomen der Supraleitung. Charakteristisch für diesen Zustand ist eine Energielücke im Anregungsspektrum an der Fer
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Paraiso, Rafael Leal Monteiro. "Determinação da solubilidade e permeabilidade de fármacos conforme o Sistema de Classificação Biofarmacêutica (SCB)." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/9/9139/tde-15072013-160559/.

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A avaliação da classe biofarmacêutica dos fármacos assume importância na política de medicamentos genéricos, já que as características de solubilidade e permeabilidade de um fármaco, conforme definidas pelo Sistema de Classificação Biofarmacêutica (SCB), constituem critério essencial para bioisenção na obtenção de registro de genéricos. O propósito do trabalho foi o de determinar a classe biofarmacêutica dos fármacos benzilato de anlodipino, fluconazol e cloridrato de fluoxetina, por meio da determinação de seus parâmetros de solubilidade e permeabilidade. Para o teste de solubilidade, foram d
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Felisberto, Ana Paula Barbosa. "Estudos de caracterização e estabilidade de dispersões sólidas contendo ibuprofeno." Universidade Estadual da Paraíba, 2015. http://tede.bc.uepb.edu.br/tede/jspui/handle/tede/2481.

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Submitted by Jean Medeiros (jeanletras@uepb.edu.br) on 2016-08-30T12:40:36Z No. of bitstreams: 1 PDF - Ana Paula Barbosa Felisberto.pdf: 15150593 bytes, checksum: 91492d03c403e10e2661ddddfff9d3fe (MD5)<br>Approved for entry into archive by Secta BC (secta.csu.bc@uepb.edu.br) on 2016-08-31T18:13:01Z (GMT) No. of bitstreams: 1 PDF - Ana Paula Barbosa Felisberto.pdf: 15150593 bytes, checksum: 91492d03c403e10e2661ddddfff9d3fe (MD5)<br>Made available in DSpace on 2016-08-31T18:13:01Z (GMT). No. of bitstreams: 1 PDF - Ana Paula Barbosa Felisberto.pdf: 15150593 bytes, checksum: 91492d03c403e10e2661d
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Burger, Christiaan. "A novel method of improving EEG signals for BCI classification." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/95984.

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Thesis (MEng)--Stellenbosch University, 2014.<br>ENGLISH ABSTRACT: Muscular dystrophy, spinal cord injury, or amyotrophic lateral sclerosis (ALS) are injuries and disorders that disrupts the neuromuscular channels of the human body thus prohibiting the brain from controlling the body. Brain computer interface (BCI) allows individuals to bypass the neuromuscular channels and interact with the environment using the brain. The system relies on the user manipulating his neural activity in order to control an external device. Electroencephalography (EEG) is a cheap, non-invasive, real time ac
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Ervin, Brian. "Neural Spike Detection and Classification Using Massively Parallel Graphics Processing." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1377868773.

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Valikova, Irina V., and Andrei V. Nazarov. "Simulation of diffusion under pressure in bcc metals." Diffusion fundamentals 3 (2005) 11, S. 1-15, 2005. https://ul.qucosa.de/id/qucosa%3A14298.

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This work is devoted to simulation of atom configurations in bcc metals near the point defect using the molecular static method. The values of migration and formation volumes are very sensitive to the atomic structure in the vicinity of a defect, which makes it necessary to consider a large number of atoms in the computation cell and to take into account an elastic matrix around the cell. We have developed the new model taking into the consideration these factors. It allows to define “fine structure” of displacement atoms near the point defect. The atoms of third zone were embedded in an elast
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Valikova, Irina, and Andrei Nazarov. "Simulation of diffusion under pressure in BCC metals." Diffusion fundamentals 2 (2005) 39, S. 1-2, 2005. https://ul.qucosa.de/id/qucosa%3A14369.

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Carrara, Igor. "Méthodes avancées de traitement des BCI-EEG pour améliorer la performance et la reproductibilité de la classification." Electronic Thesis or Diss., Université Côte d'Azur, 2024. http://www.theses.fr/2024COAZ4033.

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L'électroencéphalographie (EEG) mesure de manière non invasive l'activité électrique du cerveau par le biais de champs électromagnétiques générés par l'activité synchronisée de millions de neurones. Cela permet de collecter des données temporelles multivariées qui constituent une trace de l'activité électrique du cerveau mesurée au niveau du cuir chevelu. À tout instant, les mesures enregistrées par ces capteurs sont des combinaisons linéaires des activités électriques provenant d'un ensemble de sources sous-jacentes situées dans le cortex cérébral. Ces sources interagissent entre elles selon
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Nazarov, Andrei V., Alexander A. Mikheev, Irina V. Valikova, Aung Moe, and Alexander G. Zaluzhnyi. "Kinetic of void growth in fcc and bcc metals." Diffusion fundamentals 6 (2007) 28, S. 1-2, 2007. https://ul.qucosa.de/id/qucosa%3A14203.

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Books on the topic "BCS Classification"

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Andreas, Fink, British Classification Society, and Dutch/Flemish Classification Society, eds. Advances in data analysis, data handling and business intelligence: Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008. Springer, 2010.

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Gosselin, Jocelyn. Guide de reconnaissance des types écologiques: Région écologique 3c : hautes collines du Bas-Saint-Maurice. Direction des inventaires forestiers, Forêt Québec, Ministère des ressources naturelles, 2001.

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Bogumil, Veniamin, and Sarango Duke. Telematics on urban passenger transport. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1819882.

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The monograph discusses the application of telematics in dispatch control systems in urban passenger transport. The role of telematics as a technological basis in automating the solution of control tasks, accounting and analysis of the volume and quality of transport work in modern dispatch control systems on urban passenger transport is shown. Analytical models have been developed to estimate the capacity of a high-speed bus transportation system on a dedicated line. Mathematical models and algorithms for predicting passenger vehicle interior filling at critical stages of urban passenger tran
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Curcio, Domenico, Igor Gianfrancesco, Corrado Meglio, Simone Trentini, Alina Preger, and Annalisa Pansini. Rischio di tasso di interesse del portafoglio bancario (IRRBB): evoluzione normativa ed implicazioni gestionai. AIFIRM, 2021. http://dx.doi.org/10.47473/2016ppa00025.

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The AIFIRM Commission on the interest rate risk in the banking book (IRRBB) has been established in a period of significant changes in the related prudential supervisory framework, which started in April 2016 with the publication of Basel Committe on Banking Supervision (BCBS)’s new standards. BCBS confirmed the secondpillar classification of IRRBB and introduced changes in its measurement approach. European regulation has already partially adopted these standards; the European Banking Authority (EBA) will issue specific technical standards and update its guidelines by March 2022. The Commissi
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Book chapters on the topic "BCS Classification"

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Paszkiel, Szczepan. "Using BCI in IoT Implementation." In Analysis and Classification of EEG Signals for Brain–Computer Interfaces. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30581-9_13.

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Barachant, Alexandre, Stéphane Bonnet, Marco Congedo, and Christian Jutten. "Riemannian Geometry Applied to BCI Classification." In Latent Variable Analysis and Signal Separation. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15995-4_78.

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Chevallier, Sylvain, Emmanuel K. Kalunga, Quentin Barthélemy, and Florian Yger. "Riemannian Classification for SSVEP-Based BCI." In Brain–Computer Interfaces Handbook. CRC Press, 2018. http://dx.doi.org/10.1201/9781351231954-19.

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Nadeau, David, and Satoshi Sekine. "A survey of named entity recognition and classification." In Benjamins Current Topics. John Benjamins Publishing Company, 2009. http://dx.doi.org/10.1075/bct.19.03nad.

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Schwager, Waldemar, and Ulrike Zeshan. "Word classes in sign languages: Criteria and classifications." In Benjamins Current Topics. John Benjamins Publishing Company, 2010. http://dx.doi.org/10.1075/bct.25.02sch.

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Khaled, Afifa. "BCN: Batch Channel Normalization for Image Classification." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-78195-7_20.

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Paszkiel, Szczepan. "Using BCI and VR Technology in Neurogaming." In Analysis and Classification of EEG Signals for Brain–Computer Interfaces. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30581-9_11.

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Joyce, Terry. "The significance of the morphographic principle for the classification of writing systems." In Typology of Writing Systems. John Benjamins Publishing Company, 2013. http://dx.doi.org/10.1075/bct.51.04joy.

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Paszkiel, Szczepan. "Computer Game in UNITY Environment for BCI Technology." In Analysis and Classification of EEG Signals for Brain–Computer Interfaces. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30581-9_12.

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Paszkiel, Szczepan. "Using BCI Technology for Controlling a Mobile Vehicle." In Analysis and Classification of EEG Signals for Brain–Computer Interfaces. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30581-9_8.

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Conference papers on the topic "BCS Classification"

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Hairani, Hairani, Triyanna Widiyaningtyas, Didik Dwi Prasetya, Ilham Saifudin, and Abu Tholib. "Reducing Class Imbalance with Undersampling for Improvement of Classification Method in Liver Disease Classification." In 2024 Beyond Technology Summit on Informatics International Conference (BTS-I2C). IEEE, 2024. https://doi.org/10.1109/bts-i2c63534.2024.10941826.

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Narayan, Yogendra, Daivik Gautam, Dinesh Lakhwani, and Rajyavardhan Kakkar. "BCI based EEG Signals classification using Machine Learning Approach." In 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI). IEEE, 2025. https://doi.org/10.1109/iatmsi64286.2025.10985151.

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Wijayanto, Ardik, Setiawardhana, Agus Indra Gunawan, and Nurmala Asifatu Zahro. "Shrimps Classification Optimization Using Modified CNN-VGG16." In 2024 Beyond Technology Summit on Informatics International Conference (BTS-I2C). IEEE, 2024. https://doi.org/10.1109/bts-i2c63534.2024.10941792.

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Apriani, Ani, Iwan Tri Riyadi Yanto, Aldo Erianda, and Rahmat Hidayat. "Soft Set Classification for Landslide Risk Level." In 2024 Beyond Technology Summit on Informatics International Conference (BTS-I2C). IEEE, 2024. https://doi.org/10.1109/bts-i2c63534.2024.10942131.

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Albini, Emanuele, Antonio Rago, Pietro Baroni, and Francesca Toni. "Relation-Based Counterfactual Explanations for Bayesian Network Classifiers." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/63.

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We propose a general method for generating counterfactual explanations (CFXs) for a range of Bayesian Network Classifiers (BCs), e.g. single- or multi-label, binary or multidimensional. We focus on explanations built from relations of (critical and potential) influence between variables, indicating the reasons for classifications, rather than any probabilistic information. We show by means of a theoretical analysis of CFXs’ properties that they serve the purpose of indicating (potentially) pivotal factors in the classification process, whose absence would give rise to different classifications
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Khosmood, Foaad, and Robert A. Levinson. "Automatic Natural Language Style Classification and Transformation." In BCS-IRSG Workshop on Corpus Profiling. BCS Learning & Development, 2008. http://dx.doi.org/10.14236/ewic/irsg2008.3.

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CEVIK, Kerim Kursat, and Mustafa BOGA. "Body Condition Score (BCS) Classification with Deep Learning." In 2019 Innovations in Intelligent Systems and Applications Conference (ASYU). IEEE, 2019. http://dx.doi.org/10.1109/asyu48272.2019.8946405.

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Shonman, Matthew, Xiaoyu Shi, Mingqing Kang, Zuo Wang, Xiangyang Li, and Anton Dahbura. "Using a Computational Cognitive Model to Understand Phishing Classification Decisions." In 35th International BCS Human-Computer Interaction Conference. BCS Learning & Development, 2022. http://dx.doi.org/10.14236/ewic/hci2022.24.

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Kludas, Jana. "Multimedia Retrieval and Classification for Web Content." In BCS IRSG Symposium: Future Directions in Information Access 2007. BCS Learning & Development, 2007. http://dx.doi.org/10.14236/ewic/fdia2007.13.

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Jiménez, Rodrigo Sánchez. "Category labelling for automatic classification scheme generation." In BCS IRSG Symposium: Future Directions in Information Access 2007. BCS Learning & Development, 2007. http://dx.doi.org/10.14236/ewic/fdia2007.18.

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Reports on the topic "BCS Classification"

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Huynh, Quyen Q., Leon N. Cooper, Nathan Intrator, and Harel Shouval. Classification of Underwater Mammals using Feature Extraction Based on Time-Frequency Analysis and BCM Theory. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada316962.

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Porru, Sara. Portoscuso-Type Amphorae as an Indicator of a Commercial Circuit. Honor Frost Foundation, 2024. http://dx.doi.org/10.33583/mags2023.03.

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The Portoscuso-type amphorae, identified for the first time in 1990 when the necropolis of San Giorgio was discovered, testify to a Phoenician presence in southwestern Sardinia starting from the eighth century B.C. This type of amphora is similar to the T-3.1.1.1. classification made by Ramon Torres and to the B2 described by Bartoloni. A new approach based on ceramic paste analysis through macrophotography will be necessary to better identify this pottery type and outline with more precision one of the commercial circuits in the Mediterranean during the eighth century BC.
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Bishop, Megan, Vuong Truong, Sophia Bragdon, and Jay Clausen. Comparing the thermal infrared signatures of shallow buried objects and disturbed soil. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49415.

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The alteration of physical and thermal properties of native soil during object burial produces a signature that can be detected using thermal infrared (IR) imagery. This study explores the thermal signature of disturbed soil compared to buried objects of different compositions (e.g., metal and plastic) buried 5 cm below ground surface (bgs) to better understand the mechanisms by which soil disturbance can impact the performance of aided target detection and recognition (AiTD/R). IR imagery recorded every five minutes were coupled with meteorological data recorded on 15-minute intervals from 1
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Neeley, Aimee, Stace E. Beaulieu, Chris Proctor, et al. Standards and practices for reporting plankton and other particle observations from images. Woods Hole Oceanographic Institution, 2021. http://dx.doi.org/10.1575/1912/27377.

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This technical manual guides the user through the process of creating a data table for the submission of taxonomic and morphological information for plankton and other particles from images to a repository. Guidance is provided to produce documentation that should accompany the submission of plankton and other particle data to a repository, describes data collection and processing techniques, and outlines the creation of a data file. Field names include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genu
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5

Kumar, Indraneel, Lionel Beaulieu, Annie Cruz-Porter, Chun Song, Benjamin St. Germain, and Andrey Zhalnin. An Assessment of the Workforce and Occupations in the Highway, Street, and Bridge Construction Industries in Indiana. Purdue University, 2020. http://dx.doi.org/10.5703/1288284315018.

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This project explores workforce and occupations within the highway, street, and bridge construction industries (NAICS 237310) in Indiana. There are five specific deliverable comprised of three data reports, one policy document, and a website. The first data report includes an assessment of the workforce based on the eight-part framework, which are industry, occupations, job postings, hard-to-fill jobs, Classification of Instructional Programs (CIP), GAP Analysis, compatibility, and automation. The report defines a cluster followed by a detailed analysis of the occupations, skills, job postings
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6

Kingston, A. W., A. Mort, C. Deblonde, and O H Ardakani. Hydrogen sulfide (H2S) distribution in the Triassic Montney Formation of the Western Canadian Sedimentary Basin. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329797.

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The Montney Formation is a highly productive hydrocarbon reservoir with significant reserves of hydrocarbon gases and liquids making it of great economic importance to Canada. However, high concentrations of hydrogen sulfide (H2S) have been encountered during exploration and development that have detrimental effects on environmental, health, and economics of production. H2S is a highly toxic and corrosive gas and therefore it is essential to understand the distribution of H2S within the basin in order to enhance identification of areas with a high risk of encountering elevated H2S concentratio
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