339,656 research outputs found
Deep neural networks for multimodal imaging and biomedical applications Advances in bioinformatics and biomedical engineering book series./ Annamalai Suresh, R. Udendran, S. Vimal.
No full text"Premier Reference Source" -- taken from front cover.Includes bibliographical references and index."This book provides research exploring the theoretical and practical aspects of emerging data computing methods and imaging techniques within healthcare and biomedicine. The publication provides a complete set of information in a single module starting from developing deep neural networks to predicting disease by employing multi-modal imaging"--The Pivotal Role of Edge Computing With Machine Learning And It's Impact On Healthcare / Muthukumari S.M., George Dharma Prakash Raj -- Exploring Internet of Things and Artificial Intelligence for smart Healthcare solutions / G. Yamini Yamini -- A Comparative Study of Popular CNN Topologies Used For Imagenet Classification / Hmidi Alaeddine, Malek Jihene -- Advancements in Techniques of Biomedical Image Analysis / Rajitha B. -- Demystification of Deep Learning-driven Medical Image Processing and its impact on future Biomedical Applications / Udendhran Mudaliyar, M. Bala Murugan, Suresh Annamalai -- Transforming Biomedical Applications through Smart Sensing and Artificial Intelligence / Harini T.J., Suresh V., Carmel M. -- Use of eggshell as partial replacement for sand in concrete used in biomedical applications / Sebastin S., Murali Ram Kumar S.M. -- Deep Learning Models for Semantic Multi modal Medical Image Segmentation / V.R.S. Mani.1 online resource (xvi, 294 pages)
Marriner S. Eccles correspondence related to Eccles quotations [07]
No full textCorrespondence from 1965 through 1967 between Marriner S. Eccles and friends, associates, and publishers who sent him published citations of and references to Mr. Eccles. Correspondents included economics author Irving S. Michelman; Hugh S. Norton, professor of economics at the University of South Carolina; and economist Eliot Janeway
Enhanced deep-joint segmentation with deep learning networks of glioma tumor for multi-grade classification using MR images
No full textThe crucial imaging modality employed in medicinal diagnostic tools to detect the tumors is magnetic resonance image (MRI). Based on the glioma anatomical structures, MRI poses the capability to provide detailed information. Anyhow, in the MRI classification the foremost problem is the semantic gap between optical information at the low level, which is attained from the MRI machine, whereas information at the high level is alleged by a clinician. In this research, Tunicate-Exponential weighted moving average (TEWMA)-based deep convolutional neural Network (TEWMA-deep CNN) is devised for multi-grade classification. In this method, the preprocessing is employed to eradicate the artifacts present in the image. Moreover, deep-joint segmentation is modified with the weighted Euclidean and Levenshtein distance measures, which are effectively used for segmenting the tumor regions. Then, the classification is done from the image-segmented areas by deep CNN to determine gliomas, meningioma, pituitary, and others, which is tuned by developed TEWMA. The experimentation of the devised approach is performed by three datasets, such as BRATS 2015, figshare, and BRATS 2020 dataset. The developed TEWMA is designed by incorporating Tunicate swarm algorithm (TSA) and exponentially weighted moving average (EWMA) algorithm, with the highest specificity of 99%, highest accuracy of 98.76%, highest sensitivity of 98.88%, maximal precision of 94.76%, maximal F1-measure of 98.46%, and minimal time of 7.24 s using dataset-1 for classification. Also, the proposed method attains average specificity, accuracy, sensitivity, precision, F-measure, and time of 91.09, 93.79, 95.46, 92.33, 94.30%, and 6.23 s, respectively, using dataset-1
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
The astrochemical observatory: Computational and theoretical focus on molecular chirality changing torsions around O – O and S – S bonds
No full textThe observation of hydrogen peroxide in the interstellar medium represents a remarkable discovery for the astrochemistry community. The prototypical role that this molecule, arguably the simplest chiral molecule, plays in the evolution of life in biospheres, is related to the chirality change transitions associated with the torsional motions around the O - O and the S - S bonds. In this paper, we present an overview on the state-of-art of possible experiments to demonstrate chiral effects discrimination and computational tools applied to peroxides and persulfides
Scientometric Portrait of Nobel Laureate S. Chandrasekhar
Get PDFScientometric analysis of the publications productivity of Nobel Laureate S. Chandrasekhar is documented
Band Alignment and Electrical Investigations of Ultra-Thin Al2O3 on Si by E-beam Evaporation
No full textThe continuous downscaling leads the search of high-gate dielectrics. The films amorphous in nature offered good mechanical flexibility, smooth surfaces and better uniformity associated with low leakage current density. In this work, 16 nm thick amorphous Al2O3 films on silicon substrate are fabricated by E-beam evaporation. The high value of refractive index (1.76) extracted from ellipsometry analysis directs the deposition of compact film. The AFM analysis reveal a flat surface with small RMS surface roughness 1.5 angstrom. The band gap is extracted from O-1s electron loss spectra and was found 6.7 eV and band alignment of Al2O3/Si is derived from the UPS measurements. The films are incorporated in Metal Insulator -Semiconductor (MIS) capacitor to perform the electrical measurement. The flat band voltage (V-FB), dielectric constant () and oxide trapped charges (Q(ot)) extracted from high frequency (1 MHz) C-V curve are - 0.4 V, 8.4 and 2 x 10(11) cm(-2), respectively. The small flat band voltage - 0.4 V, narrow hysteresis and very little frequency dispersion suggest an exceptional good Al2O3/Si interface with small quantity of trapped charges in the oxide. The leakage current density was 4.27 x 10(-8) A/cm(2) at 1 V. The moderate dielectric constant and low leakage current density with ultra-smooth surface is quite useful towards its application in future CMOS and memory devices
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