Results 171 to 180 of about 306,915 (291)

A Lightweight 1-D CNN Model to Detect Android Malware On the Mobile Phone

, 2020
The mobile device has become an integrated part of everyone's life. The mobile users store their sensitive and private information in their easy to carry handsets or mobile device (bank information, critical business documents, etc). Android malware is a very big concern for internet security researchers and there have been many research works ...
openaire   +1 more source

Saving Bambi from the mower? Using a drone with thermal camera to evaluate a low‐tech scaring technique to reduce roe deer fawn mortality during grass harvest

Wildlife Biology, EarlyView.
Roe deer is a species that hides their neonates as an anti‐predator strategy. This may prove efficient against mammalian predators, such as the red fox; however, it might be an ecological trap as large numbers of fawns are killed by tractors with harvesters each year during grass harvest.
Thomas Vogler, Neri H Thorsen, Simen Pedersen   +2 more
wiley   +1 more source

Prospective observational study on behavioral monitoring, disease progression assessment, and screening model development for patients with depression using wearable devices and mobile phones: protocol. [PDF]

Front Psychiatry
Wang M, Peng F, Mu W, Tao Y, Zhao H, Yin Q, Yan Z, Shi C.   +7 more
europepmc   +1 more source

From dusk till dawn: ecoacoustic monitoring reveals wind energy impacts on roding Eurasian woodcock Scolopax rusticola

Wildlife Biology, EarlyView.
Renewable energy is vital for reducing carbon emissions and yet its infrastructure poses challenges to biodiversity. While the impacts of wind power on bats and raptors are well‐studied, the effects on elusive species remain largely unknown. The Eurasian woodcock Scolopax rusticola, a nocturnal forest bird, performs characteristic courtship flights at ...
Jan O. Engler, Michael Bokämper, Stefan Hannabach, Manuela Merling de Chapa, Lena Daum, Kostadin B. Georgiev, Simon Thorn   +6 more
wiley   +1 more source

Sensor-Equipped Digital Technologies for Monitoring and Detecting Depressive Disorders: A Systematic Review. [PDF]

Health Sci Rep
Rahimi M, Abrishamifar K, Hazhir S, Valizadeh H, Nourani A, Rahimi B.   +5 more
europepmc   +1 more source

The Association Between Total and Regional Body Fat and Bone Mineral Content in Young Athletes: A Cross-Sectional Study. [PDF]

Healthcare (Basel)
Santos JCD, De Marco JCP, de Lima TR, Miranda CC, Caetano H, de Azevedo Guimarães AC, Pelegrini A.   +6 more
europepmc   +1 more source

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Improving malware detection performance using hybrid deep representation learning with heuristic search algorithms. [PDF]

Sci Rep
Anuradha A, Chouhan AS, Srinivas Rao S.
europepmc   +1 more source

Reassessing feature-based Android malware detection in a contemporary context. [PDF]

PLoS One
Muzaffar A, Ragab Hassen H, Zantout H, Lones MA.   +3 more
europepmc   +1 more source

MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata. [PDF]

Sci Data
Bragança H, Kreutz D, Rocha V, Assolin J, Feitosa E.   +4 more
europepmc   +1 more source