Results 151 to 160 of about 683,541 (259)

Swiftly identifying strongly unique k-mers. [PDF]

Algorithms Mol Biol
Zentgraf J, Rahmann S.
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

A simple and efficient attack on the Merkle-Hellman knapsack cryptosystem. [PDF]

PLoS One
Bi J, Su L, Peng H, Wang L.
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Efficient Integer Quantization for Compressed DETR Models. [PDF]

Entropy (Basel)
Liu P, Li C, Zhang N, Yang J, Wang L.
europepmc   +1 more source

Scale Space and Variational Methods in Computer Vision

Lecture Notes in Computer Science, 2019
Xuecheng Tai, K. Mørken, M. Lysaker, Knut-Andreas Lie   +3 more
semanticscholar   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Adaptive DDoS detection mode in software-defined SIP-VoIP using transfer learning with boosted meta-learner. [PDF]

PLoS One
Yoro RE, Okpor MD, Akazue MI, Okpako EA, Eboka AO, Ejeh PO, Ojugo AA, Odiakaose CC, Binitie AP, Ako RE, Geteloma VO, Onoma PA, Max-Egba AT, Ibor AE, Onyemenem SI, Ukwandu E.   +15 more
europepmc   +1 more source

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

A novel LLM time series forecasting method based on integer-decimal decomposition. [PDF]

Sci Rep
Wang L, Dong K, Zhao X.
europepmc   +1 more source