Search Results - "File Type"
-
1
Authors:
Source: IEEE Access, Vol 13, Pp 141886-141896 (2025)
Subject Terms: Raw data classification, feature matrix, convolutional neural networks, file type identification, preprocessing, content-based classification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
File Description: electronic resource
-
2
Authors:
Source: BMC Research Notes, Vol 17, Iss 1, Pp 1-3 (2024)
Subject Terms: File fragment classification, File type identification, Image file fragment, Dataset, Medicine, Biology (General), QH301-705.5, Science (General), Q1-390
File Description: electronic resource
Relation: https://doaj.org/toc/1756-0500
-
3
Authors:
Source: IEEE Access, Vol 10, Pp 111794-111810 (2022)
-
4
Authors: Udomwongsa, Chavin
Source: Computer Science Senior Theses
Subject Terms: binwalk, polyfile, file type identification, antivirus, security and privacy, Computer Sciences
File Description: application/pdf
Relation: https://digitalcommons.dartmouth.edu/cs_senior_theses/44; https://digitalcommons.dartmouth.edu/context/cs_senior_theses/article/1033/viewcontent/Kris_Thesis.pdf
-
5
Authors: et al.
Contributors: et al.
Source: 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). :1194-1198
Subject Terms: file fragment classification, file type detection, artificial neural network, convolutional neural network, feed forward neural network, file type forensics, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
-
6
Authors: et al.
Contributors: et al.
Source: 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO). :1250-1253
Subject Terms: OOXML, feedforward neural network, 0202 electrical engineering, electronic engineering, information engineering, file type detection, 02 engineering and technology, file fragment classification, OLE, artificial neural network
Access URL: https://www.bib.irb.hr/1083152
https://doi.org/10.23919/mipro48935.2020.9245428
https://ieeexplore.ieee.org/document/9245428
https://doi.org/10.23919/MIPRO48935.2020.9245428
https://www.bib.irb.hr/1083152
https://doi.org/10.23919/MIPRO48935.2020.9245428
https://dblp.uni-trier.de/db/conf/mipro/mipro2020.html#SkracicRMPP20 -
7
Authors: M Saleh, Mariam Najdat
Source: Browse all Theses and Dissertations
Subject Terms: Department of Computer Science and Engineering, Physical Sciences and Mathematics, Computer Sciences, Engineering, Computer Engineering, Artificial Intelligence, Computer Science, Information Science, Information Technology, IoT, Encryption, Compression, Classification, Deep learning, Mish function, Entropy test, Chi-squared test, Anderson-Darling test, File Type, Inception Network, File Classification, Histogram, Kernel Density Estimation, Cumulative Density Function
File Description: application/pdf
Relation: https://corescholar.libraries.wright.edu/etd_all/2819; https://corescholar.libraries.wright.edu/context/etd_all/article/3960/viewcontent/send.pdf
-
8
Authors: et al.
Contributors: et al.
Source: ISSN: 2666-2817 ; EISSN: 2666-2825 ; Forensic Science International: Digital Investigation.
Subject Terms: Digital forensics, Digital evidence assessment, Comparative evaluation of forensics tools, Benchmarking, File type identification, File systems, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]
Relation: hal-04128864; https://hal.science/hal-04128864; https://hal.science/hal-04128864/document; https://hal.science/hal-04128864/file/filetype_greyc_hal.pdf
Availability: https://hal.science/hal-04128864
https://hal.science/hal-04128864/document
https://hal.science/hal-04128864/file/filetype_greyc_hal.pdf
https://doi.org/10.1016/j.fsidi.2023.301574 -
9
Authors: et al.
Source: Cogent Engineering, Vol 9, Iss 1 (2022)
Subject Terms: file type selection, data transfer, homogeneous rough surface, cad/cae software, Engineering (General). Civil engineering (General), TA1-2040
File Description: electronic resource
Relation: https://doaj.org/toc/2331-1916
-
10
-
11
Authors: et al.
Contributors: et al.
Subject Terms: Computer and Information Science, Image representation, Self-attention, Memory forensics, File-type classification, Malware analysis
File Description: application/pdf
Relation: NRF2018NCRNCR009-0001; https://hdl.handle.net/10356/174535
-
12
Authors:
Source: EC2ND 2006. :85-94
Subject Terms: Camera recognition, computer forensics, data recovery, file type identification, 2-gram frequency distribution, TECHNOLOGY, Information technology, Computer science, TEKNIKVETENSKAP, Informationsteknik, Datavetenskap
File Description: print
-
13
Authors:
Subject Terms: 2023_Havel_Transect1, 2023_Havel_Transect2, 2024_Havel_Transect3, 2024_Havel_Transect4, Binary Object, Brandenburg, Comment, Electrical Resistivity Tomography, ERT, ERT01, ERT02, ERT03, ERT04, File type, floodplain, Lake Gülpe, Near surface geophysics, RESECS multi-electrode, Transect
File Description: text/tab-separated-values, 16 data points
Relation: https://doi.org/10.1594/PANGAEA.983208; Köhler, Anne; Pohle, Marco; Bauckholt, Matteo; Birnstengel, Susann; Kaniecki, Marie; Schneider, Birgit; Werban, Ulrike; Zielhofer, Christoph (2025): Near-surface geophysical and sedimentological analyses for the Lower Havel Inner Delta – a dataset of the floodplain lithostratigraphy. Data in Brief, 112372, https://doi.org/10.1016/j.dib.2025.112372; Pohle, Marco (2025): ERT Measurement setup and data structure from transect 1 - Havel. https://download.pangaea.de/reference/134004/attachments/Explanation_ERT-Data_Havel_transect1.pdf; Pohle, Marco (2025): ERT Measurement setup and data structure from transect 2 - Havel. https://download.pangaea.de/reference/134005/attachments/Explanation_ERT-Data_Havel_transect2.pdf; Pohle, Marco (2025): ERT Measurement setup and data structure from transect 3 - Havel. https://download.pangaea.de/reference/134006/attachments/Explanation_ERT-Data_Havel_transect3_v2.pdf; Pohle, Marco (2025): ERT Measurement setup and data structure from transect 4 - Havel. https://download.pangaea.de/reference/134007/attachments/Explanation_ERT-Data_Havel_transect4.pdf; https://doi.pangaea.de/10.1594/PANGAEA.983478; https://doi.org/10.1594/PANGAEA.983478
-
14
Authors:
Subject Terms: Ciencias Informáticas, magic numbers, header obfuscation, transmogrify, file types, file fragments, Security, content-based file type identification
File Description: application/pdf; 759-763
Availability: http://sedici.unlp.edu.ar/handle/10915/27533
-
15
Authors: et al.
Contributors: et al.
Source: Lecture Notes in Computer Science ; 26th Conference on Data and Applications Security and Privacy (DBSec) ; https://inria.hal.science/hal-01534762 ; 26th Conference on Data and Applications Security and Privacy (DBSec), Jul 2012, Paris, France. pp.193-206, ⟨10.1007/978-3-642-31540-4_15⟩
Subject Terms: File Type, Content type revealing framework, Code type, Byte N-Gram statistical analysis, [INFO]Computer Science [cs]
Availability: https://inria.hal.science/hal-01534762
https://inria.hal.science/hal-01534762v1/document
https://inria.hal.science/hal-01534762v1/file/978-3-642-31540-4_15_Chapter.pdf
https://doi.org/10.1007/978-3-642-31540-4_15 -
16
Authors: et al.
Contributors: et al.
Source: IFIP Advances in Information and Communication Technology ; 7th Digital Forensics (DF) ; https://inria.hal.science/hal-01569553 ; 7th Digital Forensics (DF), Jan 2011, Orlando, FL, United States. pp.65-75, ⟨10.1007/978-3-642-24212-0_5⟩
Subject Terms: File type identification, file content classification, byte frequency, [INFO]Computer Science [cs]
Subject Geographic: Orlando, FL, United States
Availability: https://inria.hal.science/hal-01569553
https://inria.hal.science/hal-01569553v1/document
https://inria.hal.science/hal-01569553v1/file/978-3-642-24212-0_5_Chapter.pdf
https://doi.org/10.1007/978-3-642-24212-0_5 -
17
-
18
Authors:
Contributors:
Source: Linköping Studies in Science and Technology. Thesis.
Subject Terms: Computer security, computer forensics, digital forensics, file carving, data recovery, fragment reassembly, file type categorisation, TECHNOLOGY, Information technology, Computer science, TEKNIKVETENSKAP, Informationsteknik, Datavetenskap, Datalogi
File Description: electronic
-
19
Authors: et al.
Subject Terms: Antarctica, ANT-XXXIII/2, aragonite saturation state, biomass/elemental composition, BONGO, Bongo net, carbonate system, Comment, Date/Time of event, DEPTH, water, Description, Device type, Event label, File name, File type, Image, specimens, specimens (File Size), specimens (Media Type), Latitude of event, Longitude of event, Magnification, mesozooplankton, Method/Device of event, Number, Ocean acidification, Polarstern, Presence/absence, PS111
Subject Geographic: MEDIAN LATITUDE: -76.182309 * MEDIAN LONGITUDE: -40.418798 * SOUTH-BOUND LATITUDE: -77.898090 * WEST-BOUND LONGITUDE: -60.796031 * NORTH-BOUND LATITUDE: -73.699743 * EAST-BOUND LONGITUDE: -25.729409 * DATE/TIME START: 2018-02-03T02:24:00 * DATE/TIME END: 2018-02-25T10:36:00 * MINIMUM DEPTH, water: 2 m * MAXIMUM DEPTH, water: 500 m
File Description: text/tab-separated-values, 7165 data points
Relation: Lischka, Silke; Michels, Jan; Bach, Lennart Thomas; Csenteri, Katharina; Konschak, Sonja; Gorb, Stanislav N (2025): Pteropods as early-warning indicators of ocean acidification. Limnology and Oceanography, lno.70079, https://doi.org/10.1002/lno.70079; https://doi.pangaea.de/10.1594/PANGAEA.966222; https://doi.org/10.1594/PANGAEA.966222
-
20
Authors: et al.
Subject Terms: AWISOM, AWI Sylt Outdoor Mesocosms, Computer vision, DAM sustainMare - iSeal: Trans- and interdisciplinary Social-ecological network analysis based on long-term monitoring, experimental data and stakeholders' assessment, File type, Gastropods, Identification, Image, specimens, specimens (File Size), specimens (MD5 Hash), specimens (Media Type), Image number/name, Image segmentation, iSeal, Magnification, MESO, mesocosm experiment, Method comment, Object Based Image Analysis, Research Mission of the German Marine Research Alliance (DAM): Protection and sustainable use of marine areas, Resolution, Sample code/label, Sampling date/time, experiment, Stereo microscope, Nikon, SMZ18, coupled with Microscope camera
Subject Geographic: LATITUDE: 55.022000 * LONGITUDE: 8.438250 * DATE/TIME START: 2022-03-30T00:00:00 * DATE/TIME END: 2022-06-20T00:00:00
File Description: text/tab-separated-values, 44814 data points
Relation: MacNeil, Liam; Joly, Léa J; Ito, Maysa; Steinmann, Anna; Mehler, Knut; Scotti, Marco (2024): Sizing mudsnails: Applying superpixels to scale growth detection under ocean warming. Methods in Ecology and Evolution, 15(3), 544-554, https://doi.org/10.1111/2041-210X.14295; Pansch, Andreas; Winde, Vera; Asmus, Ragnhild; Asmus, Harald (2016): Tidal benthic mesocosms simulating future climate change scenarios in the field of marine ecology. Limnology and Oceanography-Methods, 14(4), 257-267, https://doi.org/10.1002/lom3.10086; https://doi.pangaea.de/10.1594/PANGAEA.957929; https://doi.org/10.1594/PANGAEA.957929
Full Text Finder 
Nájsť tento článok vo Web of Science 
Full Text