Results 121 to 130 of about 6,652 (252)

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Human-Inspired Force-Motion Imitation Learning with Dynamic Response for Adaptive Robotic Manipulation. [PDF]

Biomimetics (Basel)
Tong Y, Liu H, Yang T, Zhang Z.
europepmc   +1 more source

Biomaterial‐Integrated Electroporation for Therapeutic Delivery: From Gene Editing to Tumor Ablation and Immune Modulation

Small, EarlyView.
Biomaterial‐integrated electroporation establishes a programmable therapeutic interface that coordinates electric‐field modulation, transient or irreversible membrane permeabilization, cargo stabilization, and immune remodeling. This Review highlights how nanocarriers, hydrogels, and bioelectronic interfaces expand electroporation from conventional ...
Binbin Ji, Zhuozhuo Wu, Yuyue Jiang, Xiaoyu Liu, Jingfeng Li, Fengkuo Xu, Chaojie Li, Qungang Shan, Ziyin Wang, Junhao Wang, Wei Huang, Yaping Zhuang, Wenguo Cui, Zhongmin Wang   +13 more
wiley   +1 more source

An explainable Grey Wolf optimized extreme learning machine framework for modulation classification in cloud environment. [PDF]

Sci Rep
Sahu PC, Prasad B, Dash R, Muduli D, DasMahapatra S, Mishra S, Parija S.   +6 more
europepmc   +1 more source

DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu, Xuanyu Zhang, Xiandong Meng, Jian Zhang   +3 more
wiley   +1 more source

MoCo + ROVir: Synergy Between Respiratory Motion Compensation and Cardiac Receive Region Focusing for Cardiac MRI. [PDF]

Magn Reson Med
Hu Z, Lee HL, Cao T, Yoshida T, Ma L, Finn JP, Nguyen KL, Christodoulou AG.   +7 more
europepmc   +1 more source

Stability Analysis and Improvement Mechanism of Grid‐Forming Converter Connected to a Low‐Impedance Grid

High Voltage, EarlyView.
ABSTRACT This paper investigates the stability and improvement mechanisms of a grid‐forming (GFM) converter connected to a low‐impedance grid. Initially, a state‐space model of the GFM converter integrated into an AC grid is developed for stability analysis.
Xiaotong Ji, Jinyu Wen, Yunhui Huang
wiley   +1 more source

Machine learning-based optimization of dual subthalamic nucleus and substantia nigra targeting in deep brain stimulation. [PDF]

NPJ Parkinsons Dis
Leavitt D, Negahbani F, Gharabaghi A.
europepmc   +1 more source

Variable‐Rate Texture Compression: Real‐Time Rendering with JPEG

Computer Graphics Forum, EarlyView.
Abstract Although variable‐rate compressed image formats such as JPEG are widely used to efficiently encode images, they have not found their way into real‐time rendering due to special requirements such as random access to individual texels. In this paper, we investigate the feasibility of variable‐rate texture compression on modern GPUs using the ...
Elias Kristmann, Michael Wimmer, Markus Schütz   +2 more
wiley   +1 more source

Cloud-enabled automatic modulation classification using deep feature fusion and Moth-Flame Optimized ELM approach. [PDF]

Sci Rep
Sahu PC, Prasad B, Dash R, Muduli D, Kollie DS, Priyadarshi R, Ranjan R.   +6 more
europepmc   +1 more source