Results 141 to 150 of about 1,480,093 (371)

Biomaterial Strategies for Targeted Intracellular Delivery to Phagocytes

Advanced Functional Materials, EarlyView.
Phagocytes are essential to a functional immune system, and their behavior defines disease outcomes. Engineered particles offer a strategic opportunity to target phagocytes, harnessing inflammatory modulation in disease. By tuning features like size, shape, and surface, these systems can modulate immune responses and improve targeted treatment for a ...
Kaitlyn E. Woodworth, Neal I. Callaghan, Locke Davenport Huyer   +2 more
wiley   +1 more source

Multi-class protein fold recognition using support vector machines and neural networks [PDF]

, 2001
Chris Ding, Inna Dubchak
openalex   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Chunking with support vector machines [PDF]

, 2001
Taku Kudo, Yūji Matsumoto
openalex   +1 more source

Polymer‐Incorporated Mechanically Compliant Carbon Nanotube Microelectrode Arrays for Multichannel Neural Signal Recording

Advanced Functional Materials, EarlyView.
This work presents a soft microelectrode array based on vertically aligned carbon nanotube (CNT) forests, combining high conductivity with mechanical softness. A densification process and air‐pressure‐assisted flexibilization improve structural integrity, ensuring stable insertion and reduced inflammation.
Hyeonhee Roh, Kwangjun Kim, Chaesung Kim, Minju Kim, Minwook Kim, Sangjun Sim, Jongbaeg Kim, Jong G. Ok, Maesoon Im   +8 more
wiley   +1 more source

Gaussian‐Sigmoid Reinforcement Transistors: Resolving Exploration‐Exploitation Trade‐Off Through Gate Voltage‐Controlled Activation Functions

Advanced Functional Materials, EarlyView.
The characteristics of a vertical n–p–i–p heterostructure transistor device, which exhibits a voltage‐tunable transition between Gaussian and sigmoid functions, are investigated. The mixed state of the transfer curve enables the utilization of both exploitation and exploration, improving computational performance in reinforcement learning tasks ...
Jisoo Park, Juhyung Seo, Ryun‐Han Koo, Dinithi Jayasuriya, Nethmi Jayasinghe, Wonjun Shin, Amit R. Trivedi, Hocheon Yoo   +7 more
wiley   +1 more source

Towards High‐Acuity Vision Restoration: Hybrid Retinal Prosthesis Composed of a High‐Density Multielectrode Array Integrated With Glutamatergic Cells

Advanced Functional Materials, EarlyView.
This work introduces a novel Hybrid Retinal Implant (HRI), composed of a high‐density electrode array integrated with glutamatergic neurons to overcome key limitations of current retinal prostheses. The significant reduction of activation threshold and of electrode cross‐talk yields in an improved spatial resolution.
Nairouz Farah, Amos Markus, Gal Shpun, Yoav Chemla, Erel Lasnoy, Tamar Azrad‐Leibovitch, Fikre Fentahon, Zeev Zalvesky, Yossi Mandel   +8 more
wiley   +1 more source

Security risk prediction technology for power monitoring system under the integration of OT and IT

International Journal for Simulation and Multidisciplinary Design Optimization
As an essential force for economic advancement and social stability, the security of the power system has always been a concern. Therefore, the security risks of power monitoring systems are a research focus.
Zhu Zhennan, Jin Jingquan
doaj   +1 more source

Support vector machine multiuser receiver for DS-CDMA signals in multipath channels [PDF]

, 2001
Sheng Chen, Ahmad Kamsani Samingan, Lajos Hanzo   +2 more
openalex   +1 more source

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source