Results 71 to 80 of about 693,698 (310)

Hybrid Malware Classification Method Using Segmentation-Based Fractal Texture Analysis and Deep Convolution Neural Network Features

Applied Sciences, 2020
As the number of internet users increases so does the number of malicious attacks using malware. The detection of malicious code is becoming critical, and the existing approaches need to be improved.
Maryam Nisa, Jamal Hussain Shah, Shansa Kanwal, Mudassar Raza, Muhammad Attique Khan, Robertas Damaševičius, Tomas Blažauskas   +6 more
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

FEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho, Shin Morioka, Junko Sasaki, Takehiko Sasaki   +3 more
wiley   +1 more source

Adaptive Spatial Regularization Correlation Filters for UAV Tracking

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
As a tool for near-earth remote sensing, unmanned aerial vehicle (UAV) can be used to acquire images and data of the earth's surface. This provides a powerful support for Earth observation and resource management. Object tracking in UAV videos has
Yulin Cao, Shihao Dong, Jiawei Zhang, Han Xu, Yan Zhang, Yuhui Zheng   +5 more
doaj   +1 more source

Deep feature learnt by conventional deep neural network

Computers & Electrical Engineering, 2020
Abstract In this paper, we introduce an approach to discriminate unconventional images and their intelligent filtering. As the target data to this issue are huge and consequently, a handling approach might potentially be a very time consuming one, one of the major challenges to be solved by this introduced approach is its ability for dealing with ...
Huan Niu, Wei Xu, Hamidreza Akbarzadeh, Hamid Parvin, Amin Beheshti, Hamid Alinejad-Rokny   +5 more
openaire   +2 more sources

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

A Robust Structured Tracker Using Local Deep Features

, 2020
Deep features extracted from convolutional neural networks have been recently utilized in visual tracking to obtain a generic and semantic representation of target candidates.
Javanmardi, Mohammadreza, Mohammadreza Javanmardi, Farzaneh, Amir Hossein, Qi, Xiaojun, Amir Hossein Farzaneh, Xiaojun Qi   +5 more
core   +2 more sources

MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers

, 2021
Brain tumor classification plays an important role in clinical diagnosis and effective treatment. In this work, we propose a method for brain tumor classification using an ensemble of deep features and machine learning classifiers.
Jeonghwan Gwak, Zahid Ullah, Jaeyong Kang   +2 more
core   +1 more source

Optimizing deep bottleneck feature extraction

The 2013 RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF), 2013
We investigate several optimizations to a recently published architecture for extracting bottleneck features for large-vocabulary speech recognition with deep neural networks. We are able to improve recognition performance of first-pass systems from a 12% relative word error rate reduction reported previously to 21%, compared to MFCC baselines on a ...
Nguyen, Quoc Bao, Gehring, Jonas, Kilgour, Kevin, Waibel, Alex   +3 more
openaire   +2 more sources

Structural instability impairs function of the UDP‐xylose synthase 1 Ile181Asn variant associated with short‐stature genetic syndrome in humans

FEBS Letters, EarlyView.
The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li, Pedro A. Sánchez‐Murcia, Bernd Nidetzky   +2 more
wiley   +1 more source

An Adaptive Approach for Multi-National Vehicle License Plate Recognition Using Multi-Level Deep Features and Foreground Polarity Detection Model

Applied Sciences, 2020
License plate recognition system (LPR) plays a vital role in intelligent transport systems to build up smart environments. Numerous country specific methods have been proposed successfully for an LPR system, but there is a need to find a generalized ...
Muhammad Ali Raza, Chun Qi, Muhammad Rizwan Asif, Muhammad Armoghan Khan   +3 more
doaj   +1 more source