Results 181 to 190 of about 718 (221)

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Predictive fault management in smart sensor networks using a dynamic quantum-AI architecture (DynaQuAI). [PDF]

Sci Rep
Alharbi A.
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Dedicated Observers for Sensors Fault Detection and Diagnosis in Real Time for Bioreactors. [PDF]

Sensors (Basel)
Meneses-Martínez P, González-Viveros I, Ordaz P, Aguilar-López R, López-Pérez PA, Mata-Machuca JL.   +5 more
europepmc   +1 more source

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

A reinforcement learning-driven adaptive hybrid PLC-RF communication architecture for IoT-based smart metering systems. [PDF]

Sci Rep
Mohamed NEM, Shafea MA, Yousry AM, El-Dakroury MM.   +3 more
europepmc   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source

Metric dimension of line graphs of optimal fault-tolerant token ring networks

AIMS Mathematics
Asma Alasmri, Nor Muhainiah Mohd Ali, Ali Ahmad, Muhammad Faisal Nadeem   +3 more
openaire   +1 more source

Low-sample supervised fault diagnosis for fixed-wing UAVs based on multi-scale adaptive state-aware sequence learning. [PDF]

Front Plant Sci
Li M, Zhu LX, Yan J, Zhang JT, Fan HF, Liu SJ, Gao M.   +6 more
europepmc   +1 more source

Quantum computing in finance: a literature review and future directions for trustworthy financial AI. [PDF]

Front Artif Intell
Muzzioli S, Raheem F, Ferrara M, Giudici P, Siciliano R.   +4 more
europepmc   +1 more source