Results 61 to 70 of about 328,205 (290)
Spatial and temporal learning representation for end-to-end recording device identification
Deep learning techniques have achieved specific results in recording device source identification. The recording device source features include spatial information and certain temporal information.
Chunyan Zeng +5 more
doaj +1 more source
Considering that the vibration signals of gears and bearings in the automatic transmission device are complex and the fault features are difficult to extract.
Feng Ding +4 more
doaj +1 more source
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau +8 more
wiley +1 more source
CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source
DEVICE IDENTIFICATION USING DEVICE FINGERPRINT AND DEEP LEARNING
Billions of devices are connected to networks, which share data between them or with the processing device. With the advent of technology, cost-effective hardware can be interface with sensors and can act as an IoT device; This provides them with digital
Baral, Prashant
core
RFID radio frequency identification device including a, wristband; b, reader.
RFID radio frequency identification device including a, wristband; b, reader.
Xianyi Tang (11669754) +5 more
core +1 more source
Intelligent terminal device identification method of internet of things
The correct identification of the terminal of the internet of things is an important prerequisite to establish a secure connection of the internet of things.The identification of the intelligent terminal is particularly important.The device ...
Qingwang XIAO, Jinhua WANG, Yixiang ZHU
doaj +2 more sources
A Lightweight Identification Protocol for Embedded Devices
The task of this paper is to introduce a new lightweight identification protocol based on biometric data and elliptic curves. In fact, we combine biometric data and asymetric cryptography, namely elliptic curves and standard tools to design a multifactor identification protocol.
Abdoulaye Mbaye +2 more
openaire +2 more sources
Circulating tumor cells (CTCs) and plasma cell‐free DNA (cfDNA) were analyzed to detect ESR1 mutations and methylation in patients with advanced breast cancer. CTC‐derived DNA showed higher sensitivity for mutation detection and revealed complementary genetic and epigenetic alterations, highlighting the added value of CTC analysis for understanding ...
Dimitra Stergiopoulou +12 more
wiley +1 more source
Electronic and visual identification devices for adult goats reared in semi-intensive system
This study intended to evaluate three identification devices for adult goats reared in semi-intensive system. They were (1) the ruminal bolus, electronic identification device composed of non-toxic ceramic and weighing 74.4 g; (2) small ear tag on left ...
Luciana Helena Kowalski +6 more
doaj +3 more sources

