Relevant bibliographies by topics / Automatic cell types annotation

Contents

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

Academic literature on the topic 'Automatic cell types annotation'

Author: Grafiati
Published: 25 June 2021
Last updated: 1 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Automatic cell types annotation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Automatic cell types annotation"

1

Shao, Xin, Jie Liao, Xiaoyan Lu, Rui Xue, Ni Ai, and Xiaohui Fan. "scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data." iScience 23, no. 3 (2020): 100882. http://dx.doi.org/10.1016/j.isci.2020.100882.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Doddahonnaiah, Deeksha, Patrick J. Lenehan, Travis K. Hughes, et al. "A Literature-Derived Knowledge Graph Augments the Interpretation of Single Cell RNA-seq Datasets." Genes 12, no. 6 (2021): 898. http://dx.doi.org/10.3390/genes12060898.

Full text
Abstract:
Technology to generate single cell RNA-sequencing (scRNA-seq) datasets and tools to annotate them have advanced rapidly in the past several years. Such tools generally rely on existing transcriptomic datasets or curated databases of cell type defining genes, while the application of scalable natural language processing (NLP) methods to enhance analysis workflows has not been adequately explored. Here we deployed an NLP framework to objectively quantify associations between a comprehensive set of over 20,000 human protein-coding genes and over 500 cell type terms across over 26 million biomedic
APA, Harvard, Vancouver, ISO, and other styles
3

Pham, Son, Tri Le, Tan Phan, et al. "484 Bioturing browser: interactively explore public single cell sequencing data." Journal for ImmunoTherapy of Cancer 8, Suppl 3 (2020): A520. http://dx.doi.org/10.1136/jitc-2020-sitc2020.0484.

Full text
Abstract:
BackgroundSingle-cell sequencing technology has opened an unprecedented ability to interrogate cancer. It reveals significant insights into the intratumoral heterogeneity, metastasis, therapeutic resistance, which facilitates target discovery and validation in cancer treatment. With rapid advancements in throughput and strategies, a particular immuno-oncology study can produce multi-omics profiles for several thousands of individual cells. This overflow of single-cell data poses formidable challenges, including standardizing data formats across studies, performing reanalysis for individual dat
APA, Harvard, Vancouver, ISO, and other styles
4

Lian, Qiuyu, Hongyi Xin, Jianzhu Ma, et al. "Artificial-cell-type aware cell-type classification in CITE-seq." Bioinformatics 36, Supplement_1 (2020): i542—i550. http://dx.doi.org/10.1093/bioinformatics/btaa467.

Full text
Abstract:
Abstract Motivation Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq), couples the measurement of surface marker proteins with simultaneous sequencing of mRNA at single cell level, which brings accurate cell surface phenotyping to single-cell transcriptomics. Unfortunately, multiplets in CITE-seq datasets create artificial cell types (ACT) and complicate the automation of cell surface phenotyping. Results We propose CITE-sort, an artificial-cell-type aware surface marker clustering method for CITE-seq. CITE-sort is aware of and is robust to multiplet-induced ACT. We ben
APA, Harvard, Vancouver, ISO, and other styles
5

Patino, Cesar A., Prithvijit Mukherjee, Vincent Lemaitre, Nibir Pathak, and Horacio D. Espinosa. "Deep Learning and Computer Vision Strategies for Automated Gene Editing with a Single-Cell Electroporation Platform." SLAS TECHNOLOGY: Translating Life Sciences Innovation 26, no. 1 (2021): 26–36. http://dx.doi.org/10.1177/2472630320982320.

Full text
Abstract:
Single-cell delivery platforms like microinjection and nanoprobe electroporation enable unparalleled control over cell manipulation tasks but are generally limited in throughput. Here, we present an automated single-cell electroporation system capable of automatically detecting cells with artificial intelligence (AI) software and delivering exogenous cargoes of different sizes with uniform dosage. We implemented a fully convolutional network (FCN) architecture to precisely locate the nuclei and cytosol of six cell types with various shapes and sizes, using phase contrast microscopy. Nuclear st
APA, Harvard, Vancouver, ISO, and other styles
6

Balzategui, Julen, Luka Eciolaza, and Daniel Maestro-Watson. "Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network." Sensors 21, no. 13 (2021): 4361. http://dx.doi.org/10.3390/s21134361.

Full text
Abstract:
Quality inspection applications in industry are required to move towards a zero-defect manufacturing scenario, with non-destructive inspection and traceability of 100% of produced parts. Developing robust fault detection and classification models from the start-up of the lines is challenging due to the difficulty in getting enough representative samples of the faulty patterns and the need to manually label them. This work presents a methodology to develop a robust inspection system, targeting these peculiarities, in the context of solar cell manufacturing. The methodology is divided into two p
APA, Harvard, Vancouver, ISO, and other styles
7

Friedmann, Drew, Albert Pun, Eliza L. Adams, et al. "Mapping mesoscale axonal projections in the mouse brain using a 3D convolutional network." Proceedings of the National Academy of Sciences 117, no. 20 (2020): 11068–75. http://dx.doi.org/10.1073/pnas.1918465117.

Full text
Abstract:
The projection targets of a neuronal population are a key feature of its anatomical characteristics. Historically, tissue sectioning, confocal microscopy, and manual scoring of specific regions of interest have been used to generate coarse summaries of mesoscale projectomes. We present here TrailMap, a three-dimensional (3D) convolutional network for extracting axonal projections from intact cleared mouse brains imaged by light-sheet microscopy. TrailMap allows region-based quantification of total axon content in large and complex 3D structures after registration to a standard reference atlas.
APA, Harvard, Vancouver, ISO, and other styles
8

Mai, Yun, Kyeryoung Lee, Zongzhi Liu, et al. "Phenotyping of clinical trial eligibility text from cancer studies into computable criteria in electronic health records." Journal of Clinical Oncology 39, no. 15_suppl (2021): 6592. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.6592.

Full text
Abstract:
6592 Background: Clinical trial phenotyping is the process of extracting clinical features and patient characteristics from eligibility criteria. Phenotyping is a crucial step that precedes automated cohort identification from patient electronic health records (EHRs) against trial criteria. We establish a clinical trial phenotyping pipeline to transform clinical trial eligibility criteria into computable criteria and enable high throughput cohort selection in EHRs. Methods: Formalized clinical trial criteria attributes were acquired from a natural-language processing (NLP)-assisted approach. W
APA, Harvard, Vancouver, ISO, and other styles
9

Englbrecht, Fabian, Iris E. Ruider, and Andreas R. Bausch. "Automatic image annotation for fluorescent cell nuclei segmentation." PLOS ONE 16, no. 4 (2021): e0250093. http://dx.doi.org/10.1371/journal.pone.0250093.

Full text
Abstract:
Dataset annotation is a time and labor-intensive task and an integral requirement for training and testing deep learning models. The segmentation of images in life science microscopy requires annotated image datasets for object detection tasks such as instance segmentation. Although the amount of annotated image data has been steadily reduced due to methods such as data augmentation, the process of manual or semi-automated data annotation is the most labor and cost intensive task in the process of cell nuclei segmentation with deep neural networks. In this work we propose a system to fully aut
APA, Harvard, Vancouver, ISO, and other styles
10

Magidey, Ksenia, Ksenya Kveler, Rachelly Normand, et al. "A Unique Crosstalk between Tumor Cells and Hematopoietic Stem Cells Reveals a Myeloid Differentiation Pattern Signature Contributing to Metastasis." Blood 134, Supplement_1 (2019): 2465. http://dx.doi.org/10.1182/blood-2019-128126.

Full text
Abstract:
Metastasis is the major cause of death in cancer patients. Recent studies have demonstrated that the crosstalk between different host and tumor cells in the tumor microenvironment regulates tumor progression and metastasis. Specifically, immune cell myeloid skewing is a prominent promoter of metastasis. While previous studies have demonstrated that the recruitment of myeloid cells to tumors is a critical step in dictating tumor fate, the reservoir of these cells in the bone marrow (BM) compartment and their differentiation pattern has not been explored. Here we utilized a unique model system c
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Automatic cell types annotation"

1

Raoux, Corentin. "Review and Analysis of single-cell RNA sequencing cell-type identification and annotation tools." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297852.

Full text
Abstract:
Single-cell RNA-sequencing makes possible to study the gene expression at the level of individual cells. However, one of the main challenges of the single-cell RNA-sequencing analysis today, is the identification and annotation of cell types. The current method consists in manually checking the expression of genes using top differentially expressed genes and comparing them with related cell-type markers available in scientific publications. It is therefore time-consuming and labour intensive. Nevertheless, in the last two years,numerous automatic cell-type identification and annotation tools w
APA, Harvard, Vancouver, ISO, and other styles
2

Wedin, Mattias, and Isak Bengtsson. "A Comparative Study on Machine Learning Models for Automatic Classification of Cell Types from Digitally Reconstructed Neurons." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301744.

Full text
Abstract:
For the last decade, the use of machine learning in neuroscientific research has become a popular topic. For instance, image recognition has been used together with machine learning to detect and also help improve the diagnostics of diseases. This study compares the accuracy of a Convolutional Neural Network (CNN), a support vector classifier and a random forest classifier to investigate which are better suited for classification of cell types based on digitally reconstructed images from mice. All models were trained on both a larger unbalanced dataset containing 49 different cell types and a
APA, Harvard, Vancouver, ISO, and other styles
3

Neves, João. "Automatic annotation of cellular data." Master's thesis, 2013. http://hdl.handle.net/10400.6/3696.

Full text
Abstract:
Life scientists often need to count cells in microscopy images, which is very tedious and a time consuming task. Henceforth, automatic approaches can be a solution to this problem. Several works have been devised for this issue, but the majority of these approaches degrade their performance in case of cell overlapping. In this dissertation we propose a method to determine the position of macrophages and parasites in uorescence images of Leishmania-infected macrophages. The proposed strategy is mainly based on blob detection, clustering and separation using concave regions of the cells' contou
APA, Harvard, Vancouver, ISO, and other styles

Books on the topic "Automatic cell types annotation"

1

Lüdeling, Anke, Julia Ritz, Manfred Stede, and Amir Zeldes. Corpus Linguistics and Information Structure Research. Edited by Caroline Féry and Shinichiro Ishihara. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199642670.013.013.

Full text
Abstract:
This chapter describes the contributions that Corpus Linguistics (the study of linguistic phenomena by means of systematically exploiting collections of naturally-occurring linguistic data) can make to IS research. It discusses issues of designing a corpus that can serve as a basis for qualitative or quantitative studies, and then turns to the central issue of data annotation: what corpora are available that have been annotated with IS-related annotations, and how can such annotations be evaluated? In case a corpus does not have direct IS annotation, can other types of annotations, especially
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Automatic cell types annotation"

1

Busse, Beatrix. "Toward Developing a Procedure for Automatically Identifying Speech, Writing, and Thought Presentation." In Speech, Writing, and Thought Presentation in 19th-Century Narrative Fiction. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190212360.003.0006.

Full text
Abstract:
The sixth chapter illustrates how the automatic annotation of the different modes of speech, writing, and thought presentation in 19th-century narrative fiction may be performed on the basis of repetitive lexico-grammatical features and by setting up rules based on the manual annotation of the corpus and facilitating it in larger data sets. The chapter proposes a number of formal diagnostic features for the identification of discourse presentation as well as procedures to help their automatic detection. The procedures described serve as basis for a tool for the automatic identification of discourse presentation which can be adopted to programs like Wmatrix (Rayson 2018) and WordSmith Tools (Scott 2017). The chapter furthermore critically reflects on the limits of automated procedures and the necessity to manually check the annotations and include contextual information for unambiguous identification of different types of discourse presentation.
APA, Harvard, Vancouver, ISO, and other styles
2

Zhou, Xiangrong, and Hiroshi Fujita. "Automatic Organ Localization on X-Ray CT Images by Using Ensemble-Learning Techniques." In Machine Learning in Computer-Aided Diagnosis. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0059-1.ch019.

Full text
Abstract:
Location of an inner organ in a CT image is the basic information that is required for medical image analysis such as image segmentation, lesion detection, content-based image retrieval, and anatomical annotation. A general approach/scheme for the localization of different inner organs that can be adapted to suit various types of medical image formats is required. However, this is a very challenging problem and can hardly be solved by using traditional image processing techniques. This chapter introduces an ensemble-learning-based approach that can be used to solve organ localization problems. This approach can be used to generate a fast and efficient organ-localization scheme from a limited number of training samples that include both original images and target locations. This approach has been used for localizing five different human organs in CT images, and the accuracy, robustness, and computational efficiency of the designed scheme were validated by experiments.
APA, Harvard, Vancouver, ISO, and other styles
3

Jan, Rafiya, and Afaq Alam Khan. "Emotion Mining Using Semantic Similarity." In Natural Language Processing. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0951-7.ch053.

Full text
Abstract:
Social networks are considered as the most abundant sources of affective information for sentiment and emotion classification. Emotion classification is the challenging task of classifying emotions into different types. Emotions being universal, the automatic exploration of emotion is considered as a difficult task to perform. A lot of the research is being conducted in the field of automatic emotion detection in textual data streams. However, very little attention is paid towards capturing semantic features of the text. In this article, the authors present the technique of semantic relatedness for automatic classification of emotion in the text using distributional semantic models. This approach uses semantic similarity for measuring the coherence between the two emotionally related entities. Before classification, data is pre-processed to remove the irrelevant fields and inconsistencies and to improve the performance. The proposed approach achieved the accuracy of 71.795%, which is competitive considering as no training or annotation of data is done.
APA, Harvard, Vancouver, ISO, and other styles
4

Singhal, Vanika, and Preety Singh. "Selected Shape and Texture Features for Automatic Detection of Acute Lymphoblastic Leukemia." In Biomedical Signal and Image Processing in Patient Care. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2829-6.ch009.

Full text
Abstract:
Acute Lymphoblastic Leukemia is a cancer of blood caused due to increase in number of immature lymphocyte cells. Detection is done manually by skilled pathologists which is time consuming and depends on the skills of the pathologist. The authors propose a methodology for discrimination of a normal lymphocyte cell from a malignant one by processing the blood sample image. Automatic detection process will reduce the diagnosis time and not be limited by human interpretation. The lymphocyte images are classified based on two types of extracted features: shape and texture. To identify prominent shape features, Correlation based Feature Selection is applied. Principal Component Analysis is applied on the texture features to reduce their dimensionality. Support Vector Machine is used for classification. It is observed that 16 shape features are able to give a classification accuracy of 92.3% and that changes in the geometrical properties of the nucleus emerge as significant features contributing towards detecting a malignant lymphocyte.
APA, Harvard, Vancouver, ISO, and other styles
5

Gustafsson, Mika, and Michael Hörnquist. "Integrating Various Data Sources for Improved Quality in Reverse Engineering of Gene Regulatory Networks." In Handbook of Research on Computational Methodologies in Gene Regulatory Networks. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-685-3.ch020.

Full text
Abstract:
In this chapter we outline a methodology to reverse engineer GRNs from various data sources within an ODE framework. The methodology is generally applicable and is suitable to handle the broad error distribution present in microarrays. The main effort of this chapter is the exploration of a fully data driven approach to the integration problem in a “soft evidence” based way. Integration is here seen as the process of incorporation of uncertain a priori knowledge and is therefore only relied upon if it lowers the prediction error. An efficient implementation is carried out by a linear programming formulation. This LP problem is solved repeatedly with small modifications, from which we can benefit by restarting the primal simplex method from nearby solutions, which enables a computational efficient execution. We perform a case study for data from the yeast cell cycle, where all verified genes are putative regulators and the a priori knowledge consists of several types of binding data, text-mining and annotation knowledge.
APA, Harvard, Vancouver, ISO, and other styles
6

Grossberg, Stephen. "Laminar Computing by Cerebral Cortex." In Conscious Mind, Resonant Brain. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190070557.003.0010.

Full text
Abstract:
The cerebral cortex computes the highest forms of biological intelligence in all sensory and cognitive modalities. Neocortical cells are organized into circuits that form six cortical layers in all cortical areas that carry out perception and cognition. Variations in cell properties within these layers and their connections have been used to classify the cerebral cortex into more than fifty divisions, or areas, to which distinct functions have been attributed. Why the cortex has a laminar organization for the control of behavior has, however, remained a mystery until recently. Also mysterious has been how variations on this ubiquitous laminar cortical design can give rise to so many different types of intelligent behavior. This chapter explains how Laminar Computing contributes to biological intelligence, and how layered circuits of neocortical cells support all the various kinds of higher-order biological intelligence, including vision, language, and cognition, using variations of the same canonical laminar circuit. This canonical circuit can be used in general-purpose VLSI chips that can be specialized to carry out different kinds of biological intelligence, and seamlessly joined together to control autonomous adaptive algorithms and mobile robots. These circuits show how preattentive automatic bottom-up processing and attentive task-selective top-down processing are joined together in the deeper cortical layers to form a decision interface. Here, bottom-up and top-down constraints cooperate and compete to generate the best decisions, by combining properties of fast feedforward and feedback processing, analog and digital computing, and preattentive and attentive learning, including laminar ART properties such as analog coherence.
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Automatic cell types annotation"

1

Bryant, Christopher, Mariano Felice, and Ted Briscoe. "Automatic Annotation and Evaluation of Error Types for Grammatical Error Correction." In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2017. http://dx.doi.org/10.18653/v1/p17-1074.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Chowdhury, Aritra, Sujoy K. Biswas, and Simone Bianco. "Active deep learning reduces annotation burden in automatic cell segmentation." In Digital and Computational Pathology, edited by John E. Tomaszewski and Aaron D. Ward. SPIE, 2021. http://dx.doi.org/10.1117/12.2579537.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Dyachkov, V. V., I. A. Khomchenkova, P. S. Pleshak, and N. M. Stoynova. "ANNOTATING AND EXPLORING CODE-SWITCHING IN FOUR CORPORA OF MINORITY LANGUAGES OF RUSSIA." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-228-240.

Full text
Abstract:
This paper describes code-switching with Russian in four spoken corpora of minority languages of Russia: two Uralic ones (Hill Mari and Moksha) and two Tungusic ones (Nanai and Ulch). All narrators are bilinguals, fluent both in the indigenous language (IL) and in Russian; all the corpora are comparable in size and genres (small field collections of spontaneous oral texts, produced under the instruction to speak IL); the languages are comparable in structural (dis)similarity with Russian. The only difference concerns language dominance and the degree of language shift across the communities. T
APA, Harvard, Vancouver, ISO, and other styles
4

Yeker, Cengiz, and Ibrahim Zeid. "The Development of an Automatic Three-Dimensional Mesh Generator via Modified Ray Casting." In ASME 1992 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/cie1992-0023.

Full text
Abstract:
Abstract A fully automatic three-dimensional mesh generation method is developed by modifying the well-known ray casting technique. The method is capable of meshing objects modeled using the CSG representation scheme. The input to the method consists of solid geometry information, and mesh attributes such as element size. The method starts by casting rays in 3D space to classify the empty and full parts of the solid. This information is then used to create a cell structure that closely models the solid object. The next step is to further process the cell structure to make it more succinct, so
APA, Harvard, Vancouver, ISO, and other styles
5

Bobbitt, Brock, Stephen Garner, Brenton Cox, John Martens, and Mark Fecke. "Manual vs. Automatic Boiler Controls: A Historical Perspective From Relevant Codes and Standards." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3616.

Full text
Abstract:
Advances in computer hardware over the past several decades have helped to expand the capabilities of boiler control systems in power generating applications. These greater capabilities have supported a proliferation of computer controlled boiler functions and, in many cases, replaced human operator functions with automated functions. Nevertheless, the human operator remains a central piece in many modern boiler control systems. One reason the operator is still present in the control room is that computer controls and human operators each have distinct advantages. Consequently, a boiler contro
APA, Harvard, Vancouver, ISO, and other styles
6

Rupnowski, Peter, Michael Ulsh, and Bhushan Sopori. "High Throughput and High Resolution In-Line Monitoring of PEMFC Materials by Means of Visible Light Diffuse Reflectance Imaging and Computer Vision." In ASME 2015 13th International Conference on Fuel Cell Science, Engineering and Technology collocated with the ASME 2015 Power Conference, the ASME 2015 9th International Conference on Energy Sustainability, and the ASME 2015 Nuclear Forum. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/fuelcell2015-49212.

Full text
Abstract:
In this paper we present results from our recent work in which polymer electrolyte membrane fuel cell electrodes with intentionally introduced known defects were imaged and analyzed using a fuel cell scanner recently developed at the National Renewable Energy Laboratory. The defect types considered included particle debris, scuffs, scores, slits, and laser perforated pinholes. The debris defects were analyzed on samples from three different production stages, whereas the other defect types were introduced in a membrane tacked on a catalyst-coated diffusion media. We are showing that the fuel c
APA, Harvard, Vancouver, ISO, and other styles
7

Cheng, Peng, Chasen Tongsh, Jinqiao Liang, Zhi Liu, Qing Du, and Kui Jiao. "Experimental Investigation of Proton Exchange Membrane Fuel Cell With Platinum and Nafion Along the In-Plane Direction." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23430.

Full text
Abstract:
Abstract In this study, an experimental study has been performed to investigate the effect of in-plane distribution of Pt and Nafion in membrane electrode assembly (MEA) on proton exchange membrane (PEM) fuel cell. Two types of MEAs, such as the gradient and uniform distributions of Pt catalyst and Nafion, are compared under various operating conditions including cathode flow rate, MEA preparation method, Pt loading and relative humidity (RH). The catalyst ink is sprayed onto Nafion membrane or gas diffusion layer (GDL) through a pneumatic automatic spraying device manufactured by ourselves. M
APA, Harvard, Vancouver, ISO, and other styles
8

Kim, Jinseon, Minsoo Kim, Minju Shin, et al. "A Study on Error Corrected Code Failure-Induced Latent Defect in between High-k MIM Capacitors." In ISTFA 2017. ASM International, 2017. http://dx.doi.org/10.31399/asm.cp.istfa2017p0424.

Full text
Abstract:
Abstract For fault management, various types of error-correcting codes (ECC) have been widely used for most computers and memory. From a memory perspective, the ECC technique is generally adopted for DRAM modules to correct data corruption among multiple chips, not in-chip level. Recently, increased soft single-bit failures have accelerated introduction of the ECC technique into DRAM components. For reliability, fault generation technique by high voltage at high temperature, also known as burn-in stress, has been widely used in the IC manufacturing process. In DRAM, burn-in stress is also usef
APA, Harvard, Vancouver, ISO, and other styles
9

Tischner, Oliver, and A. H. Soni. "Development of a Methodology for Cost Estimation in Robot Assembly." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/flex-6043.

Full text
Abstract:
Abstract The developments in today’s industries put the companies under increasing pressure concerning time and costs. This forces them to, among other measures, rationalize and automates the manufacturing systems, including the assembly systems. To reduce the risks of investments and enhance the investment planning, accurate calculation methodologies for assembly planning systems are necessary. There are a number of ways to lay out an assembly system. An assembly system may be designed for a manual operation, an automatic operation, or a flexible operation. Industrial robots are extensively u
APA, Harvard, Vancouver, ISO, and other styles
10

Lu, Roberto F. "Design and Configuration of Machine Vision Robotic Cells in a Manufacturing System." In ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/detc2004-57234.

Full text
Abstract:
Most fixed automations in traditional manufacturing systems are not equipped to manage product variations efficiently. This paper presents a design and configuration for a machine-vision-equipped robotic packing cell that is capable of managing a wide range of product sizes. Product size information is gathered at an earlier stage in the manufacturing process and then transferred electronically to the robot cell. Different controllers are needed to manage robot cell functions related to incoming product, machine vision, robot control, robot manipulator, and multiple layers of safety control in
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Automatic cell types annotation' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography