Optimized extreme learning machines with deep learning for high-performance network traffic classification. [PDF]
Zhang X, Yin J.
europepmc +1 more source
Schematic diagram depicting the proposed signaling mechanisms underlying the effects of FBXL4 in the setting of cardiac hypertrophy. Under hypertrophic stimulation, cardiomyocytes‐specific overexpression FBXL4 maintains sarcomere integrity and cardiac function by enhancing K48‐linked ubiquitinated degradation of PFN1 at the K70 site.
Xingda Li +11 more
wiley +1 more source
Transformer-based tokenization for IoT traffic classification across diverse network environments. [PDF]
Afifi F +4 more
europepmc +1 more source
Lightweight, Payload-Based Traffic Classification: An Experimental Evaluation [PDF]
Baldi, Mario +4 more
core +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Balancing Complexity and Performance in Convolutional Neural Network Models for QUIC Traffic Classification. [PDF]
Pettorru G, Flumini M, Martalò M.
europepmc +1 more source
The device exhibits excellent ferroelectric performance and significant photoelectric response. It can adapt to light stimuli of varying power and wavelengths while achieving a stable and tunable photovoltaic response state. Moreover, the device can utilize photoconductive states of different directions and magnitudes to achieve pattern classification ...
Zhen Zhao +21 more
wiley +1 more source
Condensation of Data and Knowledge for Network Traffic Classification: Techniques, Applications, and Open Issues. [PDF]
Zhao C, Liao LX, Chen G, Chao HC.
europepmc +1 more source
Traffic Sign Classification Using CNN
This study presents a novel approach for traffic sign classification leveraging Convolutional Neural Networks (CNNs). With the proliferation of autonomous vehicles and advanced driver assistance systems, accurate and efficient traffic sign recognition is imperative for safe and efficient navigation.
openaire +1 more source
GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu +11 more
wiley +1 more source

