Results 151 to 160 of about 22,071 (254)

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, Volume 12, Issue 19, 12 October 2026.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

A hardware-grounded energy taxonomy for comparing deep and Spiking Neural Network inference on edge platforms. [PDF]

Front Neurosci
El-Hafci M, Sabri MA, Aarab A.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, Volume 2, Issue 5, October 2026.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Accurately modeling resting-brain functional connectivity using hypergraph neural field-Fourier deep neural network. [PDF]

Sci Rep
Ma J, Luo J, Liu D, Li X.
europepmc   +1 more source

Interpreting Non‐Linear Compaction Mechanics of Expansive Soils Using Reliability Calibrated Framework

Applied Research, Volume 5, Issue 5, October 2026.
This study introduces a reliability‐calibrated machine learning framework to predict the maximum dry density and optimum moisture content of heterogeneous soils. By integrating 15 algorithms with conformal prediction, the models deliver accurate compaction estimates alongside rigorous, distribution‐free 90% confidence intervals.
Farjad Aziz, Muhammad Waseem, Zeeshan Asghar, Megersa Kebede Leta   +3 more
wiley   +1 more source

Reservoir computing for network intrusion classification. [PDF]

PLoS One
Alam K, Bhuiyan MH, Hoque MA, Rana MS, Farid DM.   +4 more
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, Volume 104, Issue 10, Page 5328-5349, October 2026.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Programmable photonic neural engine with all-optical nonlinear activation and 40,000 connections. [PDF]

Sci Adv
Sun H, Zhu X, Azaña J.
europepmc   +1 more source

A State‐of‐the‐Art Study of Vortex‐Excited Vibration Problems in Large‐Span Flat Steel Box Girder Bridges

Engineering Reports, Volume 8, Issue 10, October 2026.
The paper consists of four parts. Specially, the first part analyzes the wind challenges of large‐span bridges, including the formation mechanism of wind‐induced vibration disaster of large‐span bridges and typical cases, as well as the limitations of the current wind design codes. The second part reviews the analysis models and experimental techniques
Sai Gong, Peng Tang, Shucheng Yang, Qiwen Jin, Jiawu Li   +4 more
wiley   +1 more source

A Comprehensive Review of GAN‐CNN Hybrid Methods for Intelligent Fault Diagnosis of Rotating Machinery

Engineering Reports, Volume 8, Issue 10, October 2026.
This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa, Fasikaw Kibrete, Yitbarek Gashaw Tadesse, Abdu Mohammed Seid, Sewale Yasabu Enyew, Getachew Getu Enyew, Mulugeta Linger Tariku, Zewdie Alemayehu Mulat   +7 more
wiley   +1 more source