Results 91 to 100 of about 851,247 (240)

Design Strategies and Emerging Applications of High‐Performance Flexible Piezoresistive Pressure Sensors

open access: yesAdvanced Functional Materials, EarlyView.
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo   +2 more
wiley   +1 more source

Multimodal CNN-DDI: using multimodal CNN for drug to drug interaction associated events

open access: yesScientific Reports
Drug-to-drug interaction (DDIs) occurs when a patient consumes multiple drugs. Therefore, it is possible that any medication can influence other drugs’ effectiveness.
Muhammad Asfand-e-yar   +5 more
doaj   +1 more source

A Review on Graph Theory in Deep Learning

open access: yesNTU Journal of Pure Sciences
Graph theory has gained popularity as a flexible tool in machine learning to capture complex correlations between objects in non-Euclidean structured data.
Ayhan Ahmed Al-Shumam   +1 more
doaj   +1 more source

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

open access: yesAdvanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou   +5 more
wiley   +1 more source

Arabic Text Formality Modification: A Review and Future Research Directions

open access: yesIEEE Access
Formality transfer seeks to adjust text formality without altering its core meaning, which carries substantial implications across diverse domains like machine translation, dialogue systems, and social media content creation.
Shadi I. Abudalfa   +2 more
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

A Unified Multi-Task Learning Model with Joint Reverse Optimization for Simultaneous Skin Lesion Segmentation and Diagnosis

open access: yesBioengineering
Classifying and segmenting skin cancer represent pivotal objectives for automated diagnostic systems that utilize dermoscopy images. However, these tasks present significant challenges due to the diverse shape variations of skin lesions and the ...
Mohammed A. Al-masni   +3 more
doaj   +1 more source

AI at Ames: Artificial Intelligence research and application at NASA Ames Research Center, Moffett Field, California, February 1985 [PDF]

open access: yes
Charts are given that illustrate function versus domain for artificial intelligence (AI) applications and interests and research area versus project number for AI research.
Andrews, Alison E.
core   +1 more source

Binder Engineering Suppresses Jahn–Teller‐Driven Mn Dissolution and Enables High‐Loading MnO2 Cathodes for Aqueous Zn‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A Zn2+‐coordinated poly(vinylidene fluoride) binder is shown to suppress Jahn–Teller‐driven Mn dissolution while improving dispersion, wettability, and structural integrity in thick MnO2 cathodes. This simple binder‐engineering strategy enables high‐loading aqueous Zn‐ion batteries with enhanced areal capacity, cycling stability, and practical promise ...
Insung Jang, Geun Yoo, Geon−Hyoung An
wiley   +1 more source

Dual‐Inductive and Programmable Switching: A New Paradigm in Ionic Interface‐Controlled Perovskite Memory

open access: yesAdvanced Functional Materials, EarlyView.
A fully programmable, dual‐inductive switchable halide perovskite memristor is demonstrated through precise BDAI2‐mediated interface engineering. This ion‐modulating layer suppresses stochastic filamentary growth, enabling stable, non‐filamentary switching via dynamic barrier modulation.
So‐Yeon Kim, Juan Bisquert
wiley   +1 more source

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