Results 171 to 180 of about 629,043 (341)

Spacer‐Less Substrate‐Integrated Metasurface for Near‐Unity Terahertz Absorption

Advanced Optical Materials, EarlyView.
ABSTRACT Although conventional metal‐insulator‐metal (MIM) terahertz (THz) absorbers can provide near‐unity absorption, their multilayer stacks inevitably introduce additional thickness, mass, and residual stress, which limit their compatibility with THz thermal sensing platforms.
Zihao Zhao, Kazuho Harada, Qian Liu, Isao Morohashi, Xu Fang, Kazuhiko Hirakawa, Ya Zhang   +6 more
wiley   +1 more source

Style Learning: Inductive Generalisation of Architectural Shape Patterns

, 1999
Art historians and critics have defined the style as common features appeared in a class of objects. Abstract common features from a set of objects have been used as a bench mark for date and location of original works.
M. Cha, J.S. Gero
core  

Surface‐Plasmon‐Coupled Blue InGaN/GaN Micro‐LEDs with Oxide–Metal–Oxide Capping Layer Compatible to Chip Fabrication Process

Advanced Optical Materials, EarlyView.
A sidewall‐integrated oxide–metal–oxide architecture is demonstrated to overcome efficiency degradation in ultra‐small InGaN/GaN micro‐LEDs. Conformal Al2O3 passivation combined with plasmonic Ag nanoparticles enables localized surface plasmon–exciton coupling, converting surface‐related nonradiative losses into radiative emission.
Pil‐Kyu Jang, Lee‐Woon Jang, Ohbin Kwon, Yeong‐Hoon Cho, Sangbum Kim, Sang‐Ik Lee, Seungjae Baek, Jiwon Park, Myeongjun Choi, Jaeseung Kim, Taehwan Kim, Sung‐Un Kim, Min‐Seok Lee, Yong‐Ho Ra, Ki Hoon Nam, Seung Min Kwak, Alexander Y. Polyakov, In‐Hwan Lee   +17 more
wiley   +1 more source

Interactive Inductive Learning System: The Proposal

Inductive learning system learns classification from training examples and uses induced rules for classifying new instances. If a decision cannot be inferred from system rule base, a default rule is usually applied.
Birzniece, Ilze
core  

Micromachined Double‐Membrane Mechanically Tunable Metamaterial for Thermal Infrared Filtering

Advanced Photonics Research, Volume 6, Issue 5, May 2025.
Herein, a mechanically tunable double‐layer plasmonic metamaterial leveraging the extraordinary optical transmission effect observed in subwavelength arrays of openings within thin metal layers is presented. The concept is experimentally validated by integrating the proposed metamaterial structure into an electrostatic parallel‐plate actuator to create
Oleg Bannik, Fedor Kovalev, Mingkai Liu, Michal Zawierta, Dilusha Silva, Lorenzo Faraone, Mariusz Martyniuk, Ilya Shadrivov   +7 more
wiley   +1 more source

Types of cost in inductive concept learning

, 2000
Inductive concept learning is the task of learning to assign cases to a discrete set of classes. In real-world applications of concept learning, there are many different types of cost involved.
Turney, Peter
core  

On–Off Switchable Micromotors for Use in Steerable Microvehicles

Advanced Robotics Research, EarlyView.
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson, Eswaran Murugasen, Jose G. Martinez, Edwin W. H. Jager   +3 more
wiley   +1 more source

Near knowledge : inductive learning systems in law

, 2000
Induction is an interesting model of legal reasoning, since it provides a method of capturing initial states of legal principles and rules, and adjusting these principles and rules over time as the law changes.
Hunter, Dan
core  

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source