Results 161 to 170 of about 113,907 (292)

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

BSN-ESC: A Big-Small Network-Based Environmental Sound Classification Method for AIoT Applications. [PDF]

Sensors (Basel), 2023
Peng L, Yang J, Yan L, Chen Z, Xiao J, Zhou L, Zhou J.   +6 more
europepmc   +1 more source

General Sound Classification and Similarity in

, 2008
— we introduce a system for generalized sound classification and similarity using a machine learning framework. Applications of the system include automatic classification of environmental sounds, musical instruments, music genre and human speakers.
Merl Cambridge
core  

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

A Federated Approach for Adaptive Urban Sound Classification on TinyML Edge Devices. [PDF]

Sensors (Basel)
Trigkas A, Piromalis D, Papageorgas P.
europepmc   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Prior-aligned frequency-domain explanations for heart sound classification: a scale-consistent attribution approach. [PDF]

Front Artif Intell
Sun Q, Li Y, Javadov A, Wu X, Schuller BW.   +4 more
europepmc   +1 more source

MEMS piezoelectric resonant microphone array for lung sound classification. [PDF]

J Micromech Microeng, 2023
Liu H, Barekatain M, Roy A, Liu S, Cao Y, Tang Y, Shkel A, Kim ES.   +7 more
europepmc   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]

Diagnostics (Basel)
Bilen MN, Çelik FM, Kobat MA, Demir F.
europepmc   +1 more source