Results 111 to 120 of about 130,460 (340)

Open Challenges and Opportunities in Piezoelectricity for Tissue Regeneration

Advanced Science, EarlyView.
This review provides an intriguing review of the recent advancements, challenges, and future perspectives regarding the application of piezoelectric scaffolds in tissue regeneration. The detailed exposition is anticipated to propel the advancement of personalized and intelligent piezoelectric implants, thereby fostering significant progress in this ...
Xiaoling Deng, Yu Zhuang, Jinjie Cui, Liyun Wang, Huilu Zhan, Xudong Wang, Kaili Lin, Changyong Yuan   +7 more
wiley   +1 more source

7‐Methylquinolinium Iodobismuthate Memristor: Exploring Plasticity and Memristive Properties for Digit Classification in Physical Reservoir Computing

Advanced Electronic Materials, EarlyView.
Low‐dimensional 7‐methyquinolinium iodobismuthate on a silicon substrate with one input and 15 output gold electrodes as a physical reservoir devices is applied, for MNIST digit classification with 82.26% accuracy and voice classification for digit 2 for six different people with 82 % accuracy.
Gisya Abdi, Ahmet Karacali, Alif Syafiq Kamarol Zaman, Marlena Gryl, Andrzej Sławek, Aleksandra Szkudlarek, Hirofumi Tanaka, Konrad Szaciłowski   +7 more
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Assouad Dimension and Fractal Geometry [PDF]

, 2020
The Assouad dimension is a notion of dimension in fractal geometry that has been the subject of much interest in recent years. This book, written by a world expert on the topic, is the first thorough account of the Assouad dimension and its many variants and applications in fractal geometry and beyond.
openaire   +3 more sources

Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features

Advanced Intelligent Discovery, EarlyView.
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar, Sophia Buttny, Célia Sahli, Kenry   +3 more
wiley   +1 more source

Fractal dimension on dental radiographs

Dentomaxillofacial Radiology, 2001
OBJECTIVES (1) To compare fractal dimension (FD) from periapical radiographs with FD from panoramic radiographs; (2) to correlate FD with cortical thickness and morphology; and (3) to correlate FD with a reported history of osteoporotic fractures. METHODS Information on fracture and smoking history was obtained by a telephone interview with 281 ...
Anne Marie Bollen, Philippe P. Hujoel, Akira Taguchi, Lars Hollender   +3 more
openaire   +3 more sources

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Lower S-dimension of fractal sets

Journal of Mathematical Analysis and Applications, 2011
The interrelations between (upper and lower) Minkowski contents and (upper and lower) surface area based contents (S-contents) as well as between their associated dimensions have recently been investigated for general sets in R^d (cf. [3]). While the upper dimensions always coincide and the upper contents are bounded by each other, the bounds obtained ...
openaire   +3 more sources

Highly Efficient Classification of Time‐Series Based on Resistive Switching Cluster‐Assembled Materials

Advanced Intelligent Systems, EarlyView.
Cluster‐assembled nanocomposite devices are employed for the classification of neuronal traces, without any preprocessing of the input time‐series or prior training of the nonlinear devices. The classification method relies on the statistical analysis of the device's output time‐series, achieving higher classification accuracy compared to more energy ...
Filippo Profumo, Francesca Borghi, Tommaso Angì, Marta Maschietto, Stefano Vassanelli, Paolo Milani   +5 more
wiley   +1 more source

Kolmogorov–Arnold Network for Transistor Compact Modeling

Advanced Intelligent Systems, EarlyView.
This work introduces Kolmogorov–Arnold network (KAN) for the transistor—an architecture that integrates interpretability with high precision in physics‐based function modeling. The results reveal that despite achieving superior prediction accuracy for critical figures of merit, KAN demonstrates unique inherent challenges for transistor modeling ...
Rodion Novkin, Hussam Amrouch
wiley   +1 more source