Results 161 to 170 of about 3,327 (217)

Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]

Sensors (Basel)
Maghanaki M, Keramati S, Chen FF, Shahin M.   +3 more
europepmc   +1 more source

Camera trap distance sampling for density estimation of tiger prey in a Sumatran ecosystem restoration concession

Wildlife Biology, EarlyView.
Estimating prey species densities is critical for implementing effective tiger Panthera tigris recovery strategies. Several statistical models exist for density estimation of unmarked species from camera trap data, all of which rely on the random placement of cameras.
Beno Fariza Syahri, Febri Anggriawan Widodo, Muhammad Rahmad Al Kahfi, Muhammad Rizki Qosyim, Heri Irawan, Dede Hendra Setiawan, Muhammad Ali Imron, Matthew J. Struebig, Nicolas J. Deere, Satyawan Pudyatmoko, Thomas Neill Edward Gray   +10 more
wiley   +1 more source

Leveraging data augmentation for machine learning models in predicting depression and anxiety using the Revised Child Anxiety and Depression Scale clinical reports. [PDF]

Front Psychiatry
Noor S, Hussain Z, Hamdan QU, Zaman M, Paracha RZ, Zahra Shamsi SA.   +5 more
europepmc   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

The impact of the COVID-19 pandemic and associated lifestyle changes on early-life microbiome development. [PDF]

Genome Med
Dikareva E, van Best N, Bervoets L, West CE, Rossel C, Driessen C, Mommers M, Penders J.   +7 more
europepmc   +1 more source

HSL‐CFS: Hybrid stacked learning with cooperative feature selection for cyberattack detection in smart grids

Energy Conversion and Economics, EarlyView.
Abstract An effective method for detecting cyberattacks is essential to the security of smart grids (SGs). In SGs, data from both cyber and physical domains can support attack detection. However, existing works insufficiently consider the heterogeneity, high dimensionality, and cross‐domain correlations of multi‐source data, affecting model ...
Qize Gao, Qiuyu Lu, June Li, Zhao Peng, Guo Shen, Ming Ni   +5 more
wiley   +1 more source

An automated framework to classify skin lesions using Multi-Head Self Attention Layer-based Vision Transformers. [PDF]

Front Artif Intell
Faizal S, Rajput CA, Prusty MR.
europepmc   +1 more source

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

High Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma, Tao Li, Mahdi Motagh, Yan Liu, Yangmao Wen   +4 more
wiley   +1 more source

Learning and Motivation State Fluctuations from Motoric and Neurophysiologic Metrics during a Somatosensory Task in Mice. [PDF]

eNeuro
Bueno-Junior LS, Ghimire A, Ding M, Watson BO.   +3 more
europepmc   +1 more source

Analyzing the digital customer journey: a novel framework for sequential behavior modeling. [PDF]

Sci Rep
Bar-El L, Chalutz-BenGal H, Gazit S, Patalon T, Ben-Gal I.   +4 more
europepmc   +1 more source