Results 91 to 100 of about 22,594 (260)

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

A Breadth‐First Pruned‐Enriched Rosenbluth Method for Force–Extension Simulations of Confined Semiflexible Chains

Advanced Intelligent Discovery, EarlyView.
The behaviors of semiflexible polymers such as DNA and protein are often reshaped by coupled interactions. Monte Carlo simulations assist in studying these systems. This work recasts the traditional chain‐growth strategy into a new framework: a fixed number of chains grow synchronously, while less relevant chains to the target system are removed and ...
Yihan Zhao, Jizeng Wang
wiley   +1 more source

Multi-Class Classification of Medical Data Based on Neural Network Pruning and Information-Entropy Measures. [PDF]

Entropy (Basel), 2022
Sánchez-Gutiérrez ME, González-Pérez PP.   +1 more
europepmc   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Analog memristive synapse based on topotactic phase transition for high-performance neuromorphic computing and neural network pruning. [PDF]

Sci Adv, 2021
Mou X, Tang J, Lyu Y, Zhang Q, Yang S, Xu F, Liu W, Xu M, Zhou Y, Sun W, Zhong Y, Gao B, Yu P, Qian H, Wu H.   +14 more
europepmc   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

Advanced Intelligent Systems, EarlyView.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen, Ali Çalhan, Murtaza Cicioğlu, Oğuzhan Demiryürek   +3 more
wiley   +1 more source

Pruning Neural Networks with Supermasks

ESANN 2021 proceedings, 2021
Vincent Rolfs, Matthias Kerzel, Stefan Wermter   +2 more
openaire   +1 more source

Co‐Design of Stretchable Fabric Sensors and Tiny Machine Learning for Human Interface Device‐Based Edge‐Intelligent Wearable Gloves

Advanced Intelligent Systems, EarlyView.
A flexible smart glove integrated with textile sensors enables real‐time hand gesture recognition for human–machine interaction. Using edge AI inference and Bluetooth communication, the system translates finger movements into human interface device commands to control endpoint devices efficiently.
Chi Cuong Vu, Tuan Nghia Nguyen, Minh‐Thanh Le   +2 more
wiley   +1 more source

Playing in the Dark: Invisible Chess as a Laboratory for Strategic AI

AI &Innovation, EarlyView.
This paper shows that strategic AI evaluated on perfect‐information benchmarks can be brittle in real adversarial settings. By using invisible chess as a benchmark for hidden state and deception, it argues for stricter testing, human oversight, and more cautious governance of high‐stakes AI systems.
Paolo Ciancarini
wiley   +1 more source

From Marginal to Central: Marginal Zone‐like B Cells as Critical Targets in Cladribine‐Treated Multiple Sclerosis

Annals of Neurology, EarlyView.
Objective Multiple sclerosis (MS) is a chronic autoimmune disease where B cells play a central pathogenic role. Cladribine, an oral therapy, provides durable benefits by reshaping lymphocyte populations, yet its specific long‐term impact on distinct B‐cell subsets is not fully understood.
Marta Pirronello, Mario Picozza, Gisella Guerrera, Silvia Corbisiero, Andrea Misiti, Roberta C. Placido, Alice Verdiani, Lorenzo de Marco, Manolo Sambucci, Elena Olivieri, Daniela F. Angelini, Esmeralda Quartuccio, Luca Prosperini, Carla Tortorella, Maria C. Buscarinu, Valeria Zancan, Francesca de Masi, Marco Salvetti, Claudio Gasperini, Giovanna Borsellino, Luca Battistini   +20 more
wiley   +1 more source