Results 161 to 170 of about 8,368,743 (296)

Global Trends in Integrating Machine Learning (ML) with Model-Informed Drug Development (MIDD): A Bibliometric and Systematic Review (2015-2025). [PDF]

Pharmaceutics
Dermawan D, Chtita S, Alotaiq N.
europepmc   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Artificial intelligence (AI) and machine learning (ML) in ovarian cancer: transforming detection, treatment, and prevention. [PDF]

J Ovarian Res
Singh M, Betgeri SN, Kakar SS.
europepmc   +1 more source

Tutorial: implementing and visualizing machine learning (ML) clinical prediction models into web-accessible calculators using Shiny R. [PDF]

Ann Transl Med, 2022
Eddington HS, Trickey AW, Shah V, Harris AHS.   +3 more
europepmc   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

AI Information Session

, 2018
Presented on April 17, 2018 at 11:30 a.m. in the Bill Moore Student Success Center, Presidents Suite B.Anna Almejo is a University relations professional and intern program manager and recruiter at Samsung Electronics.Mason Bretan is a Senior Machine ...
Bretan, Mason, Almejo, Anna
core  

A Review on Sustainable Recycling of NdFeB Waste: Methodologies, Challenges, and the Integration of Machine Learning (ML). [PDF]

Materials (Basel)
Ullah R, Daza J, Wederni A, Escoda L, Saurina J, Suñol JJ.   +5 more
europepmc   +1 more source

Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach. [PDF]

Comput Math Methods Med, 2021
Shakeel CS, Khan SJ, Chaudhry B, Aijaz SF, Hassan U.   +4 more
europepmc   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

Advanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Spatiotemporal trends of foot and mouth disease (FMD) in Bangladesh from 2017 to 2023 and their associations with climatic factors and machine learning (ML) based prediction. [PDF]

Sci Rep
Ahmed MJ, Alam KE, Talukder F, Bhandari P, Bhuiyan MIH, Mamun M, Rahman MA, Chalise R, Hossain MI, Morshed M, Sabrin MS, Chowdhury MTI, Alam MJ, Hossain D.   +13 more
europepmc   +1 more source