Relevant bibliographies by topics / Objects’ type identification

Contents

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

Academic literature on the topic 'Objects’ type identification'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Objects’ type identification"

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Iqbal, Umair, Muhammad Zain Bin Riaz, Johan Barthelemy, Nathanael Hutchison, and Pascal Perez. "Floodborne Objects Type Recognition Using Computer Vision to Mitigate Blockage Originated Floods." Water 14, no. 17 (2022): 2605. http://dx.doi.org/10.3390/w14172605.

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The presence of floodborne objects (i.e., vegetation, urban objects) during floods is considered a very critical factor because of their non-linear complex hydrodynamics and impacts on flooding outcomes (e.g., diversion of flows, damage to structures, downstream scouring, failure of structures). Conventional flood models are unable to incorporate the impact of floodborne objects mainly because of the highly complex hydrodynamics and non-linear nature associated with their kinematics and accumulation. Vegetation (i.e., logs, branches, shrubs, entangled grass) and urban objects (i.e., vehicles,
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Šoliūnas, Alvydas. "Influence of global and local features on parallel object identification." F1000Research 7 (May 24, 2018): 660. http://dx.doi.org/10.12688/f1000research.14468.1.

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Background:The present study concerns parallel and serial processing of visual information, or more specifically, whether visual objects are identified successively or simultaneously in multiple object stimulus. Some findings in scene perception demonstrate the potential parallel processing of different sources of information in a stimulus; however, more extensive investigation is needed.Methods:We presented one, two or three visual objects of different categories for 100 ms and afterwards asked subjects whether a specified category was present in the stimulus. We varied the number of objects,
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Hou, Jiang Liang, Hsiu Hui Cheng, and Hung Lung Lin. "RFID-Enabled Object Relationship Identification." Advanced Materials Research 579 (October 2012): 416–26. http://dx.doi.org/10.4028/www.scientific.net/amr.579.416.

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In the last decade, RFID (Radio Frequency Identification) technology has been applied in many applications to support the routine operations. These methods about RFID applications focus mainly on the specific issues in the application domains. In this study, a generic object relationship identification and guidance model is proposed to identify the relationships between objects (including human beings, physical goods and locations) and guide the objects toward their destination based on their predefined objectives via the RFID. Eight general types of object interactions including searching, bl
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Jánoš, Rudolf, and Jozef Varga. "Identification of Randomly Distributed Objects." Applied Mechanics and Materials 791 (September 2015): 184–88. http://dx.doi.org/10.4028/www.scientific.net/amm.791.184.

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This article describes the possibilities of identifying a randomly distributed objects due to the removal of parts from the conveyor belt, which is part of the workplace for assembly of the components. A specific feature of this work is that the installation is carried out with the robot SCARA, which take parts from the conveyor. Parts on the conveyor are unoriented, therefore it is necessary to use a camera system to detect the position and orientation of parts. Because of this, it is necessary to carry out the control lines across the moving conveyor. Recognition, identification, location an
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Seong, Jae-Dong, Hae-Dong Kim, and Ha-Yeon Choi. "A study of a target identification method for an active debris removal system." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 1 (2016): 180–89. http://dx.doi.org/10.1177/0954410016662065.

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In a preparatory study conducted prior to the development of an active space debris removal system, a method for selecting target debris based on information such as the cumulative collision probability, the operational condition of objects, and their sizes and launch dates was developed for use in the protection of four Korea Multi-Purpose Satellite constellation satellites. This method can be used to select candidate removal targets. Two-line element data are used to identify threatening objects with high cumulative collision probability. Using information in the Satellite Catalog database,
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Pop, Cristian, Sanda Grigorescu, and Arjana Davidescu. "Robot Vision Application for Bearings Identification and Sorting." Applied Mechanics and Materials 162 (March 2012): 523–30. http://dx.doi.org/10.4028/www.scientific.net/amm.162.523.

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An automated object recognition application type, implemented on a robotic platform, is described. It is based on an image processing algorithm that enables: the detection of objects like bearings from a pallet conveyor, the identification of bearings type and the calculus of position and orientation, in order to be manipulated by a SCARA robot. The identification algorithm developed in Matlab software consists in HSV image segmentation and a matching technique based on comparison with previous given set of bearing prototypes. The methods used for camera and robot calibration are also describe
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Bandyopadhyay, Shounak. "MOB-NET-SSD: An Enhanced Real Time Object Identification Approach Based on Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 1343–48. https://doi.org/10.22214/ijraset.2025.72405.

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A large, active, and complex field of computer vision dedicated to object identification and recognition is called realtime object detection. Using OpenCV (Open-source Computer Vision), a set of programming methods primarily trained towards real-time computer vision in digital photos and videos, object detection finds the semantic objects in a class. People with visual impairments are unable to recognize objects in their environment. Helping the blind overcome their challenges is the primary goal of this real-time object detection. Applications for real-time object detection include object tra
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Brunet, Catherine, Mark Allen, Marianne Brouty, et al. "COSIM: The necessary evolution of a cross-identification tool along with data evolution." EPJ Web of Conferences 186 (2018): 02004. http://dx.doi.org/10.1051/epjconf/201818602004.

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SIMBAD is a bibliographic added-value database on astronomical objects, where the data on individual objects are cross-identified as far as possible. The data comes exclusively from what has been published by the scientific community. To treat large tables, the work is done semi-automatically with the help of a customized software. Since 2014, we are using a new one, called COSIM (Comparison of Objects for SIMBAD). It meets the new requirements which is a consequence of the evolution of the available astronomical data. It has increased in number, accuracy and diversity. On the basis of the dat
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Viadero-Monasterio, Fernando, Luciano Alonso-Rentería, Juan Pérez-Oria, and Fernando Viadero-Rueda. "Radar-Based Pedestrian and Vehicle Detection and Identification for Driving Assistance." Vehicles 6, no. 3 (2024): 1185–99. http://dx.doi.org/10.3390/vehicles6030056.

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The introduction of advanced driver assistance systems has significantly reduced vehicle accidents by providing crucial support for high-speed driving and alerting drivers to imminent dangers. Despite these advancements, current systems still depend on the driver’s ability to respond to warnings effectively. To address this limitation, this research focused on developing a neural network model for the automatic detection and classification of objects in front of a vehicle, including pedestrians and other vehicles, using radar technology. Radar sensors were employed to detect objects by measuri
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Cave, Carolyn Backer, and Stephen M. Kosslyn. "The Role of Parts and Spatial Relations in Object Identification." Perception 22, no. 2 (1993): 229–48. http://dx.doi.org/10.1068/p220229.

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An investigation of the role of parts and their spatial relations in object identification is reported. At the most general level, two important results were obtained. First, proper spatial relations among components of an object are critical for easy identification. When parts were scrambled on the page, naming times and error rates increased. And, second, the way an object is divided into parts (parsed) affects identification only under the most impoverished viewing conditions. When subjects had as little as 1 s (and sometimes as little as 200 ms) to view an object, the way objects were divi
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Dissertations / Theses on the topic "Objects’ type identification"

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Salimi, Maryam. "Identification and functional analysis of type 2 innate lymphoid cells in the skin and in lesional skin biopsies of patients with atopic dermatitis : the role of type 2 innate lymphoid cells in pathogenesis of atopic dermatitis." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:3f356997-fa1b-4e16-bcaf-231df4d45d3c.

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Over the past four years, a previously unrecognised family of innate effector cells has been identified. Their comprehensive functional capabilities range from lymphoid organogenesis, tissue remodelling, wound healing, immune protection and homeostasis to contribution to inflammation and allergic responses. Here we investigate the presence and function of type 2 innate lymphoid cells (ILC2) in the skin. We show that human ILC2 are resident in human skin and express RORA and GATA3, and skin homing receptors. ILC2 further infiltrate the skin after allergen challenge, where they produce the type
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Ammar, Nesrine. "Autonomous IoT device type identification." Electronic Thesis or Diss., Sorbonne université, 2020. http://www.theses.fr/2020SORUS073.

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Avec la prolifération des objets connectés, de plus en plus de personnes achètent des objets et des électroménagers connectés pour bénéficier de nouveaux services, leur permettant de contrôler leur maison n'importe où, à tout moment et de rester informés. Le nombre de services activés par les objets IoT augmente rapidement, tout comme la diversité des types de ces objets: caméras, capteurs, téléphones intelligents, tablettes, haut-parleurs provenant de plusieurs fournisseurs et avec différents modèles. Les objets et les systèmes de gestion des services IoT d'un réseau domestique doivent savoir
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Irhebhude, Martins. "Object detection, recognition and re-identification in video footage." Thesis, Loughborough University, 2015. https://dspace.lboro.ac.uk/2134/19600.

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There has been a significant number of security concerns in recent times; as a result, security cameras have been installed to monitor activities and to prevent crimes in most public places. These analysis are done either through video analytic or forensic analysis operations on human observations. To this end, within the research context of this thesis, a proactive machine vision based military recognition system has been developed to help monitor activities in the military environment. The proposed object detection, recognition and re-identification systems have been presented in this thesis
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Bichsel, Martin. "Strategies of robust object recognition for the automatic identification of human faces /." [S.l.] : [s.n.], 1991. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=9467.

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Capponi, Cécile. "Identification et Exploitation des Types dans un modèle de connaissances à objets." Phd thesis, Université Joseph Fourier (Grenoble), 1995. http://tel.archives-ouvertes.fr/tel-00345845.

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Les modèles de connaissances à objets (MCO) souffrent d'une surcharge dans l'utilisation de leur langage de représentation associé. Si ce langage a pour objectif d'être adapté à la représentation informatique d'un domaine d'application, nous montrons qu'il n'est pas pertinent de l'utiliser pour définir des structures de données, certes utiles pour la représentation du domaine, mais dépourvues de signification directe dans ce domaine (ex. une matrice dans le domaine de l'astronomie). Cette thèse propose un système de types à deux niveaux, appelé METÈO. Le premier niveau de METÈO est un langage
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Capponi, Cécile Rechenmann François. "Identification et exploitation des types dans un modèle de connaissances à objets." S.l. : Université Grenoble 1, 2008. http://tel.archives-ouvertes.fr/tel-00345845.

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Ladkau, Matthias. "A wide spectrum type system for transformation theory." Thesis, De Montfort University, 2009. http://hdl.handle.net/2086/2410.

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One of the most difficult tasks a programmer can be confronted with is the migration of a legacy system. Usually, these systems are unstructured, poorly documented and contain complex program logic. The reason for this, in most cases, is an emphasis on raw performance rather than on clean and structured code as well as a long period of applying quick fixes and enhancements rather than doing a proper software reengineering process including a full redesign during major enhancements. Nowadays, the old programming paradigms are becoming an increasingly serious problem. It has been identified that
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Lesiewicz, Sophie. "Le « livre (typo)graphique », 1890 à nos jours : un objet littéraire et éditorial innommé. Identification critique et pratique." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLV025.

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Cette thèse a pour origine le constat de la non prise en charge des ouvrages se caractérisant par leur seule iconicité scripturale en histoire du livre et de l’édition ainsi que de l’absence de définition d’une catégorie les regroupant aussi bien dans cette discipline qu’en littérature, histoire du graphisme, sémiotique ou histoire de l’art. Notre première hypothèse est que cette catégorie correspond au « livre graphique ». C’est par les littéraires, soit dans une approche par auteur, soit à travers l’étude de la poésie visuelle, que certains de ses ouvrages ont été abordés, avec les lacunes i
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Books on the topic "Objects’ type identification"

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Graves, Margaret S. Arts of Allusion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190695910.001.0001.

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The art of the object reached unparalleled heights in the medieval Islamic world, yet the deep intellectual dimensions of ceramics, metalwares, and other plastic arts in this milieu have not always been acknowledged. Arts of Allusion reveals the object as a crucial site where premodern craftsmen of the eastern Mediterranean and Persianate realms engaged their creations in fertile dialogue with poetry, literature, painting, and, perhaps most strikingly, architecture. Through close studies of objects from the ninth to the thirteenth centuries, this book reveals that allusions to architecture abo
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Book chapters on the topic "Objects’ type identification"

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Shahriar Sazzad, T. M., L. J. Armstrong, and A. K. Tripathy. "Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis." In Articulated Motion and Deformable Objects. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41778-3_5.

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Ehrich, H. D., A. Sernadas, and C. Sernadas. "Objects, object types, and object identification." In Categorical Methods in Computer Science With Aspects from Topology. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/3-540-51722-7_9.

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van Detten, Jan Niklas, Pol Schumacher, and Sander J. J. Leemans. "A Framework for Advanced Case Notions in Object-Centric Process Mining." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82225-4_30.

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Abstract Real-life processes involve interacting business objects of different types. Object-centric event logs capture the execution of activities in such processes. An important step in the analysis of such logs is the identification of sets of objects which characterize an execution of the process, called a case. Given a case notion, visualizations can be constructed to display the relations between the executed activities and the involved business objects. Depending on the utilized case notion, these visualizations can quickly become excessively complex, impeding human analysis, or may ove
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Pálhalmi, János, and Anna Mező. "AI-Powered Microscopy Platform for Airborne Biothreat Detection." In Security Informatics and Law Enforcement. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-62083-6_10.

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AbstractBecause Bacillus anthracis is one of the most lethal bioweapons, it is critical to create rapid, label-free screening and early warning systems to detect and classify anomalies in bacillus form vegetative cell and spore concentrations in the air. Even though significant effort has been invested in the development of various sensor solutions to detect, monitor, and identify airborne biological agents, no standard, interoperable, real-time or near-real-time optical sensor-based biothreat monitoring solution exists. Aside from the numerous advantages of genomic methods in microbe identifi
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Sun, Yu, Xuyang Cao, Yunbo Yuan, Guang Zhao, Song Ma, and Haofan Li. "Fault Simulation and Experimental Validation of Accessory Transmission System." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1876-4_31.

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AbstractAs an important part of the aero-engine, the accessory transmission system affects the operation status of the engine, and it is of great significance to carry out fault mechanism analysis and fault identification. This paper takes a certain type of aero-engine accessory transmission system as the research object, flexes the box using ANSYS, establishes a rigid-flexible coupling model under normal working conditions and fault conditions through ADAMS, and studies the vibration characteristics in single fault and multi-fault combination modes, such as unbalance of the shaft system, gear
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Rasch, Jochens, and Hans-Joachim Klein. "Functional Dependencies For Value Based Identification In Object-Oriented Databases." In Database Integrity. IGI Global, 2002. http://dx.doi.org/10.4018/978-1-930708-38-9.ch008.

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The Entity-Relationship (ER) model (Chen, 1976) is frequently used for the specification of conceptual database schemas. Entity types and relationship types are the building blocks provided by this data model. A major objective of conceptual database design (see e.g. Batini, Ceri, & Navathe, 1992) is to define entity types and relationship types in such a way that they represent meaningful units of information with respect to the semantics of the modeled application domain. Object types in object-oriented data models are comparable to entity types as far as structural aspects are concerned
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"Chapter 4. Communicative syntactic analysis." In LINGUISTIC ANALYZER: AUTOMATIC TRANSFORMATION OF NATURAL LANGUAGE TEXTS INTO INFORMATION DATA STRUCTURE. St. Petersburg State University, 2019. http://dx.doi.org/10.21638/11701/9785288059278.05.

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The goal of communicative analysis is to transform the Subject-Predicate-Objects-Adverbials structure of individual sentences into a metalinguistic information structure. In the latter, two basic data types are identified, objects and attributes. Attributes are linked to a single object or establish connections between a number of objects (in which case they can be also called predicates). An attribute together with its object(s) forms a proposition. In the information structure, objects can be related to one another either directly or via attributes. Attributes are also interrelated by tempor
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Vaz, Maria Salete Marcon Gomes, and Lucélia de Souza. "Conventional and Non-Conventional Data Modeling." In Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-3946-1.ch011.

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The modeling of database applications involves deciding on how to represent the project in real-world objects. The data modeling process corresponds to a set of conceptual tools to describe data, its relationships, its semantics, and constraints of consistency. This process involves the steps related to the identification of requisites, conceptual modeling of data, conventional modeling, and non-conventional modeling of objects, and its relationships. In the conceptual modeling, where there is no need to specify the methods and data flow, objects and their relationships are defined. In convent
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Vowels, Susan A. "Understanding RFID (Radio Frequency Identification)." In Encyclopedia of Information Communication Technology. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-845-1.ch103.

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RFID, also known as radio frequency identification, is a form of Auto ID (automatic identification). Auto ID is defined as “the identification of an object with minimal human interaction” (Puckett, 1998). Auto ID has been in existence for some time; in fact, the bar code, the most ubiquitous form of Auto ID, celebrated its 30th year in commercial use in 2004 (Albright, 2004). Barcodes identify items through the encoding of data in various sized bars using a variety of symbologies, or coding methodologies. The most familiar type of barcode is the UPC, or universal product code, which provides m
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Vowels, Susan A. "Understanding RFID (Radio Frequency Identification)." In Ubiquitous and Pervasive Computing. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-960-1.ch006.

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RFID, also known as radio frequency identification, is a form of Auto ID (automatic identification). Auto ID is defined as “the identification of an object with minimal human interaction” (Puckett, 1998). Auto ID has been in existence for some time; in fact, the bar code, the most ubiquitous form of Auto ID, celebrated its 30th year in commercial use in 2004 (Albright, 2004). Barcodes identify items through the encoding of data in various sized bars using a variety of symbologies, or coding methodologies. The most familiar type of barcode is the UPC, or universal product code, which provides m
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Conference papers on the topic "Objects’ type identification"

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Muratkhanov, Daulet, Yerkhozha Mamanov, and Bulegenov Kanat. "ABOUT THE GENETIC TYPES OF COPPER DEPOSITS IN KAZAKHSTAN AND THE PROSPECTS FOR IDENTIFICATION OF NEW ECONOMIC COPPER OBJECTS." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/1.1/s01.03.

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Kazakhstan is on leading position in the world in terms of reserves and mining of copper ores. There are 30 deposits with approved reservest. Nowadays, the copper industry of the Rrepublic is provided with a raw material base. Among them, the Zhezkazgan deposit remains unique in terms of reserves and a set of components. The main geological and industrial types of copper deposits (in terms of mining) are deposits of copper sandstones (58%), copper pyrite (17.1%), copper porphyry (8.2%), scarn (4.2%), etc. In the total balance of reserves, ores such as copper sandstones account for 28%, copper
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Zhang, Zhilin, Yiwen Zhang, Wenqian Zhao, Zhongqi Pan, and Yang Yue. "LED-based Rotation Speed Identification of Multi-opening Objects." In Frontiers in Optics. Optica Publishing Group, 2024. https://doi.org/10.1364/fio.2024.jd4a.82.

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A low-cost detection system based on LED is designed, utilizing an attention mechanism to identify 10 different rotation speeds of multi-opening objects, achieving an average identification accuracy of 90.36% across 14 types of objects.
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Chelaru, Bogdan, and Catalin Onutu. "BIM APLICATIONS IN THE DESIGN OF DEEP FOUNDATIONS FOR WIND TURBINES." In SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/6.1/s27.50.

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This paper outlines three key processes: 3D modeling based on the technical records, data mapping to objects in the Building Information Modelling (BIM) model, and data extraction from the model. Access to energy is a critical concern on the modern society, but equally important of how the energy is obtained. The methods used should be efficient enough to minimize adverse environmental impact, which holds significant importance in today�s energy production landscape. In the case of non-load-bearing subsoil, high structural loads or special requirements of the building, a deep foundation with d
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Chunnapiya, Phasuwut, and Porawat Visutsak. "Efficient Video Object Detection for EV Charging Plug Type Identification in Real-World Scenarios." In 2024 19th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP). IEEE, 2024. https://doi.org/10.1109/isai-nlp64410.2024.10799466.

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Shin, Sanghyun, Yiqing Ding, and Inseok Hwang. "Cockpit Alarm Detection and Identification Algorithm for Helicopters." In Vertical Flight Society 72nd Annual Forum & Technology Display. The Vertical Flight Society, 2016. http://dx.doi.org/10.4050/f-0072-2016-11532.

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In recent years, the National Transportation Safety Board (NTSB) has emphasized the importance of analyzing flight data such as cockpit voice recordings as an effective method to improve the safety of helicopter operations. Cockpit voice recordings contain the sounds of engines, crew conversations, alarms, switch activations, and others within a cockpit. Thus, analyzing cockpit voice recordings can contribute to identifying the causes of an accident or incident. Among various types of the sounds in cockpit voice recordings, this paper focuses on cockpit alarm sounds as an object of analysis. I
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Khelifi, Amine, Mohamed Trabelsi, Lacey Thompson, Giuseppina Carannante, Nidhal Bouaynaya, and Charles Johnson. "Advancing Cockpit Safety: Cost-Effective Flight Data Monitoring with Deep Learning." In Vertical Flight Society 80th Annual Forum & Technology Display. The Vertical Flight Society, 2024. http://dx.doi.org/10.4050/f-0080-2024-1239.

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The rotorcraft community faces significantly higher accident rates compared to fixed-wing commercial aircraft, underscoring the critical need for enhanced safety measures. While Helicopter Flight Data Monitoring programs hold promise in improving safety, their widespread adoption remains limited, partly due to challenges associated with the acquisition and analysis of flight data. This paper proposes a Deep Learning (DL) solution to address safety concerns within the rotorcraft community by efficiently acquiring and analyzing flight data for a more automated and comprehensive safety assessment
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Li, Zhiyuan, Jinsong Zhao, Huahui Zhou, and Xiaoxin Hu. "A Novel Symbol Recognition Framework for Digitization of Piping and Instrumentation Diagrams." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.117636.

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Piping and Instrumentation Diagrams (P&IDs) play a crucial role in the chemical industry, yet they are often stored as scanned images or computer-aided design (CAD) drawings, limiting their seamless integration into modern digital workflows. Consequently, the task of automating P&ID digitization has attracted significant attention from the computer-aided design (CAD) research community. Traditional approaches, which typically rely on conventional object detection techniques, often demand extensive manual annotations to accurately identify and classify the various symbols in P&IDs.
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P, Sumathi, Thungashree Y S, and Pushpalatha S. "Real-Time Drone Type Detection for Smart Air Traffic Monitoring." In National level Technical Symposium (Advaya 2k25). International Journal of Advanced Trends in Engineering and Management, 2025. https://doi.org/10.59544/wqwn1934/advaya2k25p10.

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Numerous industries, including defense, logistics, surveillance, agriculture, and entertainment, have undergone radical change as a result of the quick development of Unmanned Aerial Vehicles (UAVs), also referred to as drones. However, the increasing deployment of drones has introduced significant challenges in ensuring airspace security, privacy, and safety, particularly due to their resemblance to birds and other aerial objects when viewed from a distance. Accurate and real time detection and classification of drones have thus become critical to mitigating threats such as unauthorized surve
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Bykov, Mykola. "DEVELOPMENT OF AN EFFICIENT METHOD OF OBJECTS IDENTIFYING IN CONTROL SYSTEMS." In 17th IC Measurement and Control in Complex Systems. VNTU, 2024. https://doi.org/10.31649/mccs2024.5-12.

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The paper presents the theoretical justification and software for an effective method of data identification in intelligent control systems, which is based on the use of the stages of clustering and classification of objects represented by their parametric description. The author proposed a method of data clustering with fixation of cluster boundary points based on the principle of finding their surface tension. The application of this method of cluster analysis allows to increase the efficiency of identification of objects in control systems using the SVM type classifier. The SVM (Support Vec
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Yiran, Zhang, and Xiaojun Liu. "An automatic layout method of children's book covers based on design aesthetics." In 14th International Conference on Applied Human Factors and Ergonomics (AHFE 2023). AHFE International, 2023. http://dx.doi.org/10.54941/ahfe1003218.

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This paper focuses on children's book covers and further investigates the automatic typesetting algorithm for book covers based on the aesthetic measure algorithm. Before designing the algorithm, the element composition and relative positions of current common children's book covers were analyzed, and common types of cover elements and their identification methods were derived and their positions were quantified. The intermediate values of the positions of each type of element in the book cover in the sample were obtained, and then the initial positions of each type of element in the experimen
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Reports on the topic "Objects’ type identification"

1

Kuropiatnyk, D. I. Actuality of the problem of parametric identification of a mathematical model. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2885.

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The purpose of the article is to study the possibilities of increasing the efficiency of a mathematical model by identifying the parameters of an object. A key factor for parametrization can be called the consideration of properties of the values of the model at a specific time point, which allows a deeper analysis of data dependencies and correlation between them. However, such a technique does not always work, because in advance it is impossible to predict that the parameters can be substantially optimized. In addition, it is necessary to take into account the fact that minimization reduces
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2

High-resolution hydroacoustic datasets of the Polish Southern Baltic Sea (2022–2023). Gdynia Maritime University, 2025. https://doi.org/10.26408/southern-baltic-hydroacoustic-datasets.

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This dataset comprises high-resolution bathymetric grids and side-scan sonar mosaics of the seafloor, covering over 7,300 km² of Polish marine areas in the southern Baltic Sea. The data were acquired between 2022 and 2023 as part of a national initiative to map benthic habitats using advanced multibeam echosounder (MBES) and side-scan sonar (SSS) technologies, in accordance with IHO S-44 Order 1a standards. The resulting products include bathymetric grids at 50 × 50 cm resolution and sonar mosaics at 20 × 20 cm resolution, with at least 95% data completeness per raster cell. Rigorous quality c
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