Results 51 to 60 of about 66,060 (274)
Dr. Leena Krogerus: A Grand Old Lady of the Finnish Cytopathology and My Cytopathology Mum
Diagnostic Cytopathology, EarlyView.ABSTRACT The communication introduces former President of the Finnish Society of Clinical Cytology and organizer of the European Congress of Cytology in Rovaniemi, Dr. Leena Krogerus. She played an important role in the formation of my cytopathology career as she led my path in cytopathology education, research, and leadership.
Ivana Kholová
wiley +1 more source
IEEE AccessThe primary objective of this study is to investigate cybercrime threat intelligence in the context of attack trends and tactics, techniques, and procedures (TTPs) employed by cyber attack groups targeting the Arab world.
Seokhee Lee +2 more
doaj +1 more source
Learnable Nonlocal Contrastive Network for Single Image Super-Resolution
Applied Sciences, 2023 Single image super-resolution (SISR) aims to recover a high-resolution image from a single low-resolution image. In recent years, SISR methods based on deep convolutional neural networks have achieved remarkable success, and some methods further improve ...
Binbin Xu, Yuhui Zheng
doaj +1 more source
Advanced Computing and Communications, 2020 Digital forensics is the science of recovery and investigation of material found on digital devices. It started in correlation to computer / cybercrimes. In reality, digital forensics use is not limited to criminal investigation in the strict sense of the term, it can proactively encompass the investigative element of every facet of our digital life ...
openaire +1 more source
Color-decoupled photo response non-uniformity for digital image forensics [PDF]
, 2012 The last few years have seen the use of photo response non-uniformity noise (PRNU), a unique fingerprint of imaging sensors, in various digital forensic applications such as source device identification, content integrity verification and authentication.
Li, Chang-Tsun, Li, Yue
core +2 more sources
Neural Network‐Based Detection of Adulterants in Opioid Samples Using IR Absorption Spectroscopy
Drug Testing and Analysis, EarlyView.We construct a neural network for the classification of bromazolam and fluorofentanyl in illicit opioid samples. The model outperforms a random forest classifier and shows elevated performance for low concentration samples. ABSTRACT Community‐based drug checking services are challenged in their ability to reliably detect low concentration adulterants ...
Joshua Jai +4 more
wiley +1 more source
An Efficient Boosting-Based Windows Malware Family Classification System Using Multi-Features Fusion
Applied Sciences, 2023 In previous years, cybercriminals have utilized various strategies to evade identification, including obfuscation, confusion, and polymorphism technology, resulting in an exponential increase in the amount of malware that poses a serious threat to ...
Zhiguo Chen, Xuanyu Ren
doaj +1 more source
Dark clouds on the horizon:the challenge of cloud forensics [PDF]
, 2018 We introduce the challenges to digital forensics introduced by the advent and adoption of technologies, such as encryption, secure networking, secure processors and anonymous routing.
Ferguson, R. Ian +2 more
core +1 more source
International Journal of Eating Disorders, EarlyView.ABSTRACT Objectives Despite the rapid growth of generative artificial intelligence (AI), virtually no research exists examining the psychological impacts of viewing or interacting with AI‐generated images of people. Additionally, it remains relatively unknown whether informing viewers when images are AI‐generated is an effective way to lessen harm or ...
Brooke L. Bennett +5 more
wiley +1 more source
BMC Medical ImagingBackground and Objective Stroke ranks among the leading causes of disability and death worldwide. Timely detection can reduce its impact. Machine learning delivers powerful tools for image‑based diagnosis.
Evren Ekingen +7 more
doaj +1 more source