Nanoscale Resist-Free Patterning of Halogenated Zeolitic Imidazolate Frameworks by Extreme UV Lithography.

Advancements in patterning techniques for metal-organic frameworks (MOFs) are crucial for their integration into microelectronics. However, achieving precise nanoscale control of MOF structures remains challenging. In this work, a resist-free method for patterning MOFs is demonstrated using extreme ultraviolet (EUV) lithography with a resolution of 40 nm.

Infrared small target energy distribution model for subpixel motion.

Dim small target detection is an important application of infrared (IR) searching and tracking systems. IR small target detection methods based on target energy information can accomplish a high detection rate and low false alarm rate. However, the general inaccuracy of target energy distribution models makes most detection algorithms ineffective.

Goal-directed autonomous navigation of mobile robot based on the principle of neuromodulation.

Autonomous navigation in dynamic environment is aprerequisite of the mobile robot to perform tasks, and numerous approaches have been presented, including the supervised learning. Using supervised learning in robot navigation might meet problems, such as inconsistent and noisy data, and high error in training data. Inspired by the advantages of the reinforcement learning, such as no need for desired outputs, many researchers have applied reinforcement learning to robot navigation.

Mexican Hat Wavelet Kernel ELM for Multiclass Classification.

Kernel extreme learning machine (KELM) is a novel feedforward neural network, which is widely used in classification problems. To some extent, it solves the existing problems of the invalid nodes and the large computational complexity in ELM. However, the traditional KELM classifier usually has a low test accuracy when it faces multiclass classification problems.