Results 131 to 140 of about 1,262,485 (305)
Enhanced Adverse Drug Event Extraction Using Prefix-Based Multi-Prompt Tuning in Transformer Models
JOIV: International Journal on Informatics VisualizationExtracting mentions of adverse drug events and relationships between them is crucial for effective pharmacovigilance and drug safety surveillance. Recently, transformer-based models have significantly improved this task through fine-tuning.
Salisu Modi +3 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum +5 more
wiley +1 more source
Methods of frequency tuning vibration based micro-generator
, 2009 A vibration based micro-generator is an energy harvesting device that couples a certain transduction mechanism to the ambient vibration and converts mechanical energy to electrical energy.
Zhu, Dibin
core
Advanced Functional Materials, EarlyView.Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner +14 more
wiley +1 more source
ICT-META: In-Context Aware Few-Shot Learner for Encrypted Traffic Classification
IEEE Transactions on Machine Learning in Communications and NetworkingEncrypted traffic classification is a fundamental task in cybersecurity and network traffic management. With the popularity of deep learning, many studies have used it to achieve high accuracy in this field. However, these models rely on large amounts of
Chengxiang Chang +3 more
doaj +1 more source
Fine-tuning of pre-trained ASR models for transcription of Italian fiscal codes
reservedThis thesis presents an automatic speech recognition (ASR) system fine-tuned for the accurate extraction of Italian tax codes (codici fiscali) from spoken input.
BORASO, FRANCESCO
core
Advanced Functional Materials, EarlyView.A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam +8 more
wiley +1 more source
Omnipolar Magnetic Field Detection by Superlattice‐Based Hall Sensor
Advanced Functional Materials, EarlyView.Magnetic‐field‐induced electronic switching is demonstrated in unit‐cell‐engineered La0.7Sr0.3MnO3–BiFeO3 superlattices. Distinct substrate terminations modify magnetic and transport properties. Hall resistance measurements show omnipolar, hysteretic anomalous Hall switching above the Curie temperature, arising from Fe─Mn interfacial exchange, enabling
Mark Huijben +6 more
wiley +1 more source
Jixie chuandong, 2015 The carbon- free car is a kind of car with direction control function,the gravitational potential energy drive. In order to solve the manufacturing error,assembly error affect carbon- free car trajectory problem of inaccurate,through the car trajectory ...
Liu Yang, Jiang Jiguang, Xie Chun
doaj
CoRRLarge language model fine-tuning techniques typically depend on extensive labeled data, external guidance, and feedback, such as human alignment, scalar rewards, and demonstration. However, in practical application, the scarcity of specific knowledge poses unprecedented challenges to existing fine-tuning techniques.
Jia Liu 0009 +5 more
openaire +2 more sources