Results 201 to 210 of about 167,467 (260)

Large-scale modeling for housing condition prediction using machine learning algorithms. [PDF]

Sci Data
Kim K, Holmes T, Powell E, Uejio CK.
europepmc   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

Advanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar, Li Zhang, Alexander Rehmer, Marc Lupp, Subhashree Baskaran, Osama Abdelaal, Franz Müller, Nandakishor Yadav, Bing Li, Thomas Kämpfe   +9 more
wiley   +1 more source

Correction: Cè et al. Decoding Radiomics: A Step-by-Step Guide to Machine Learning Workflow in Hand-Crafted and Deep Learning Radiomics Studies. <i>Diagnostics</i> 2024, <i>14</i>, 2473. [PDF]

Diagnostics (Basel)
Cè M, Chiriac MD, Cozzi A, Macrì L, Rabaiotti FL, Irmici G, Fazzini D, Carrafiello G, Cellina M.   +8 more
europepmc   +1 more source

The Paradox of Overfitting

Measuring the Self-Consistency Index: A Preliminary Protocol Validation Study (Version 3) Companion paper to The Paradox of Overfitting, Version 2 (Revised). The Self-Consistency Index (SCI) quantifies the degree to which a neural system prioritizes internal coherence over external perturbation.
openaire   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Associations of Normalization and Regularization with Machine Learning Overfitting in Cross-dataset Classification of Deaths Using Transcriptomic and Clinical Data: A Secondary Analysis of Publicly Available Databases. [PDF]

J Clin Transl Pathol
Deng F, Zhang L.
europepmc   +1 more source

Strategic Data Re-Uploads: A Pathway to Improved Quantum Classification Data Re-Uploading Strategies for Improved Quantum Classifier Performance. [PDF]

Entropy (Basel)
Aminpour S, Banad YM, Sharif SS.
europepmc   +1 more source

Machine Learning Methods to Predict the Academic Performance of Pre-Clinical Dental Students Based on Pre-University Information. [PDF]

Int J Dent
Koseoglu M, Ramachandran RA, Botsalı M, Sukotjo C.   +3 more
europepmc   +1 more source

Factors associated with work-related musculoskeletal disorders using machine learning approaches: a systematic review. [PDF]

Ann Occup Environ Med
Mohd Sallehhudin MI, Yasin SM, Isa MR, Razak TR, Mohamad Asraff MS, Che Rameli NA, Shahriman-Teruna MM, Mohamad Salleh MM, Mohamed Yusoff MZ, Ammar Khebir MH.   +9 more
europepmc   +1 more source