Results 171 to 180 of about 103,778 (222)

Mass spectrometry-based profiling of single-cell histone post-translational modifications to dissect chromatin heterogeneity. [PDF]

Nat Commun
Cutler R, Corveleyn L, Ctortecka C, LiCausi F, Cantlon J, Jacome ASV, Deforce D, Vijg J, Dhaenens M, Papanastasiou M, Carr SA, Sidoli S.   +11 more
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ChemEmbed: a deep learning framework for metabolite identification using enhanced MS/MS data and multidimensional molecular embeddings. [PDF]

Brief Bioinform
Faizan-Khan M, Giné R, Badia JM, Pérez-Ribera M, Ruiz-Botella M, Junza A, Capellades J, Pérez-López I, Xing S, Patan A, Brugnara L, Novials A, Servitja JM, Vinaixa M, Dorrestein PC, Sales-Pardo M, Guimerà R, Yanes O.   +17 more
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Structure of the 30S translation initiation complex coupled to paused RNA polymerase and its potential for riboregulation. [PDF]

Nat Commun
Roske JJ, Paris G, Goyal A, Rodnina M, Zenkin N, Bandyra KJ, Luisi BF.   +6 more
europepmc   +1 more source

Semantic code clone detection using hybrid intermediate representations and BiLSTM networks. [PDF]

PLoS One
Shahbaz Ismail M, Shahzad S, Quradaa FH.
europepmc   +1 more source

Transformer-Based Classification of Transposable Element Consensus Sequences with TEclass2. [PDF]

Biology (Basel)
Bickmann L, Rodriguez M, Jiang X, Makałowski W.   +3 more
europepmc   +1 more source

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Byte embeddings for file fragment classification

Future Generation Computer Systems, 2022
Abstract In digital forensics, file carving is the process of recovering files on a storage media in part or in whole without any file system information. An important problem in file carving is the identification of fragment types. Many fragment classification studies in the literature employ inflexible and indiscernible feature selection methods ...
Md Enamul Haque, Mehmet Engin Tozal
openaire   +2 more sources

GenSpec: A File Fragment Classification Approach

2020 International Conference on Computing and Information Technology (ICCIT-1441), 2020
Collection and analysis of data are at the heart of digital forensics. However, in real-life situations, the data of interest is often found in files that were partially erased or otherwise tampered with. Consequently, identification of the file types of those fragmented files and the data format of the text contained in each file are deemed necessary.
Mohammed Abdulaziz Alsubhi, Ahmed Nour Moussa, Abdullatif Saleh Alfaqiri, Firas Layth Khaleel   +3 more
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Anomaly Detection in File Fragment Classification of Image File Formats

2021 11th International Conference on Computer Engineering and Knowledge (ICCKE), 2021
File fragment classification is an important and challenging problem in many domains. Among all the different file formats in computer networks and storage devices, image file formats are of much importance and interest.
Zahra Seyedghorban, Mehdi Teimouri
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Neural Networks for File Fragment Classification

2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2019
Abstract - File fragment classification is an important step in file forensics in which filetypes are assumed based on their available content fragments. Methods typically used for this task utilize machine learning techniques on features like byte frequency distributions and fragment entropy measures.
Vulinović, Kristijan, Ivković, Lucija, Petrović, Juraj, Skračić, Kristian, Pale, Predrag   +4 more
openaire   +3 more sources