Results 111 to 120 of about 5,971 (185)

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker   +2 more
wiley   +1 more source

The origins of informatics. [PDF]

open access: yesJ Am Med Inform Assoc, 1994
Collen MF.
europepmc   +1 more source

Assessing Large Multimodal Models for One‐Shot Learning and Interpretability in Biomedical Image Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou   +4 more
wiley   +1 more source

Challenges and Opportunities in Combining Ultrasound and Inductive Coupling for Energy Supply and Bidirectional Data Exchange in Bioelectronics Medicine Implant Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
In this contribution, it is shown that miniaturized nerve stimulation implants can be used in collaborative networks. Inductive links and ultrasound are combined to supply these implants with energy and data; the advantages and disadvantages of each method, as well as safety risks and possibilities for improvement are discussed and the best ...
Benedikt Szabo   +5 more
wiley   +1 more source

A Memristive Associative Learning Circuit for Fault‐Tolerant Multi‐Sensor Fusion in Autonomous Vehicles

open access: yesAdvanced Intelligent Systems, EarlyView.
A memristor‐based associative learning circuit is presented for real‐time, fault‐tolerant sensor fusion in autonomous systems. The circuit mimics biological learning to recognize driving scenarios even with missing or degraded sensor inputs. Its low‐power, analog architecture enables robust decision‐making across diverse conditions, offering a ...
Kapil Bhardwaj   +3 more
wiley   +1 more source

Exploring the Influence of Applied Potential and Catalyst Morphology on the Selectivities of Copper Toward Carbon Dioxide Electroreduction Using Machine Learning

open access: yesAdvanced Intelligent Systems, EarlyView.
A machine learning‐assisted workflow integrates experimental data mining, model training, and SHapley Additive exPlanations‐based interpretation to map the coupled effects of catalyst morphology, particle size, and applied potential on CO2 electroreduction selectivity, revealing critical multifactorial trends for designing Cu‐based catalysts toward ...
Chengxi Yao   +6 more
wiley   +1 more source

Assessing computational reproducibility in Behavior Research Methods. [PDF]

open access: yesBehav Res Methods
Ellis DA   +12 more
europepmc   +1 more source

Exploiting Multitask Deep Learning to Identify Multiple Heavy Metal Contamination at Large Scales

open access: yesAdvanced Intelligent Systems, EarlyView.
A multitask deep learning framework evaluates manganese, chromium, and cobalt concentrations in European soils, achieving an average R2 of 0.75. From 2009 to 2015, soil concentrations increase significantly. Source analysis identifies anthropogenic manganese and geological chromium and cobalt origins.
Tao Hu   +6 more
wiley   +1 more source

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