Results 241 to 250 of about 1,638,905 (280)

Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years

Advanced Materials, EarlyView.
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai, Stefano Canossa, Ekaterina A. Chernova, Simon M. Vornholt, Konstantin Stracke, Jack D. Evans, E. Eja Petersen, Stefan Wuttke, Romy Ettlinger   +8 more
wiley   +1 more source

Blockchain based electronic educational document management with role-based access control using machine learning model. [PDF]

Sci Rep
Chinnasamy P, Subashini B, Ayyasamy RK, Kiran A, Pandey BK, Pandey D, Lelisho ME.   +6 more
europepmc   +1 more source

Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach. [PDF]

PLoS One
Das N, Hossain MB, Adhikary A, Raha AD, Qiao Y, Hassan MM, Bairagi AK.   +6 more
europepmc   +1 more source

CrypTothML: An Integrated Mixed-Solvent Molecular Dynamics Simulation and Machine Learning Approach for Cryptic Site Prediction. [PDF]

Int J Mol Sci
Motono C, Yanagisawa K, Koseki J, Imai K.   +3 more
europepmc   +1 more source

The Singularity in Data and Computation-Driven Science: Can It Scale Beyond Machine Learning?

Harvard Data Science Review
openaire   +2 more sources

A cost-effective approach using generative AI and gamification to enhance biomedical treatment and real-time biosensor monitoring. [PDF]

Sci Rep
Khan AA, Laghari AA, Alsafyani M, Baqasah AM, Kryvinska N, Almadhor A, Alroobaea R, Gregus M.   +7 more
europepmc   +1 more source

A methodological systematic review of validation and performance of sepsis real-time prediction models. [PDF]

NPJ Digit Med
Wang Z, Wang W, Sun C, Li J, Xie S, Xu J, Zou K, Jin Y, Yan S, Liao X, Kang Y, Coopersmith CM, Sun X.   +12 more
europepmc   +1 more source

Advances to IoT security using a GRU-CNN deep learning model trained on SUCMO algorithm. [PDF]

Sci Rep
Sagu A, Gill NS, Gulia P, Alduaiji N, Shukla PK, Shah MA.   +5 more
europepmc   +1 more source

Teaching Machine Learning to Computer Science Preservice Teachers

Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 2021
Machine learning is a fast-growing field with various applications in artificial intelligence and data science. Recently, a new machine learning program have been integrated into the Israeli high school computer science curriculum and thus we added a new machine learning module to the Methods of Teaching Computer Science (MTCS) course, which is part of
Koby Mike, Rinat B. Rosenberg‐Kima
openalex   +3 more sources

Predicting Mentoring Effectiveness in a Computer Science Program: A Machine Learning Approach [PDF]

2020 IEEE International Conference for Innovation in Technology (INOCON), 2020
Mentoring is a critical academic tool to positively influence students' outcomes. While there is a broad consensus about the benefits of mentoring, still there is a divergence of opinion regarding the attributes based on which student mentees evaluate the effectiveness of a mentoring program. This study has drawn a sample from undergraduate students of
Amit Mittal, Ruchi Mittal, Jaiteg Singh
openaire   +1 more source