Results 181 to 190 of about 9,029 (261)

Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function

Advanced Intelligent Systems, EarlyView.
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia, Gengkai Hu, Boo Cheong Khoo, Rolf Müller   +3 more
wiley   +1 more source

Traditionalist, supplementer, or reformer? medical student use of non-official curricular resources. [PDF]

Int J Med Educ
Makus D, Maher J, Labib M, Kashyap A, Humphrey-Murto S.   +4 more
europepmc   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

Advanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al, Arya Shabani, Nicos Hadjigeorgiou, James Fant‐Male   +3 more
wiley   +1 more source

Experiences of an internet-delivered treatment of obesity: A qualitative study. [PDF]

Internet Interv
Imhagen A, Jansson S, Söderqvist F, Karlsson J, Galavazi M, Carlsson AA.   +5 more
europepmc   +1 more source

Doctor or dropout? A study of medical student attrition

Academic Medicine, 1966
D G, Johnson, E B, Hutchins
openaire   +3 more sources

Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment

Advanced Intelligent Systems, EarlyView.
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer, Yasmin Tauqeer Ansari, Emanuele Solfiti, Baljinder Singh Bal, Matteo Lo Preti, Barbara Mazzolai, Cecilia Laschi   +6 more
wiley   +1 more source

A hybrid framework of statistical, machine learning, and explainable AI methods for school dropout prediction. [PDF]

PLoS One
Khatun MR, Mim MA, Tasin MM, Hossain MM.
europepmc   +1 more source

Low‐Voltage Operation of IGZO Memtransistors Enabled by Coupling Enhancement Through 2T Drain‐Driven Operation for Neuromorphic Computing

Advanced Intelligent Systems, EarlyView.
A two‐terminal IGZO memtransistor enabling low‐voltage operation is demonstrated through coupling enhancement. By utilizing drain‐induced Fowler–Nordheim tunneling, the device achieves programming below 10 V with a large memory window and high on/off ratio.
Junhyeong Park, Sunyeol Bae, Yumin Yun, Chae‐Hwan Park, Donghyeon Lee, Soo‐Yeon Lee   +5 more
wiley   +1 more source

Effect of a Four-Week Thrower's Ten Exercise Program on Upper Extremity Dynamic Balance and Strength in Racket Sports Players. [PDF]

Cureus
Patel P, Vaishnav J.
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source