Results 181 to 190 of about 1,303,110 (322)

Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. [PDF]

Bioinformatics, 2023
Jiao S, Ye X, Ao C, Sakurai T, Zou Q, Xu L.   +5 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Choice-making in an adaptive learning system with motivational pedagogical agents. [PDF]

NPJ Sci Learn
Su M, Dang B, Nguyen A, Nagashima T.
europepmc   +1 more source

Pareto Optimized Adaptive Learning with Transposed Convolution for Image Fusion Alzheimer's Disease Classification. [PDF]

Brain Sci, 2023
Odusami M, Maskeliūnas R, Damaševičius R.   +2 more
europepmc   +1 more source

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Expert Systems in Foreign Language Training and Learning

Cakrawala: Jurnal Pendidikan
This paper examines the integration of expert systems in foreign language learning through a systematic literature review. Drawing from theories such as TPACK, Constructivism, and CALL, the study analyzes key features, methodologies, and applications of
Kseniya Sukhikh, Menshenina Svetlana
doaj  

Federated task-adaptive learning for personalized selection of human IVF-derived embryos. [PDF]

Commun Med (Lond)
Gao T, Yang Y, Wang K, Gao Y, Ma L, Chen L, Liu G, Zhang P, Liu X, Wang G.   +9 more
europepmc   +1 more source

Smartphone Usage Patterns Among Postgraduate Medical Students: A Central India Perspective on Adaptive Learning in Medicine. [PDF]

Cureus, 2023
Rathod PG, Sharma SK, Ukey UU, Ghunkikar P, Prakash M, Krishnan P A.   +5 more
europepmc   +1 more source

Graph-Enhanced Hierarchical Multi-Agent Reinforcement Learning for Adaptive Healthcare Coordination in Smart Fog Systems

Noman Gul, Bashir Hayat
openalex   +1 more source

Ice Lithography: Recent Progress Opens a New Frontier of Opportunities

Advanced Functional Materials, EarlyView.
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang, Gwendoline A. E. Anand, Rubaiyet Haque, Dylan A. Chiaro, Mona Sharma, Andrew R. Williams, Frank Niklaus, Daryl W. Yee, Gavin M. King, Anpan Han   +9 more
wiley   +1 more source