Results 161 to 170 of about 143,911 (316)

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source

An Overview of the Benchmark Case for the Aeroacoustics and Structural Acoustics of an Enclosed Centrifugal Fan

International Journal of Turbomachinery, Propulsion and Power
As part of a joint research project between the Institute of Fluid Mechanics (LSTM) and the Institute of Fundamentals and Theory of Electrical Engineering (IGTE), an international benchmark case for fluid–structure–acoustic interaction was developed. The
Felix Czwielong, Patrick Heidegger, Manuel Lauber, Christoph Heigl, Andreas Wurzinger, Marco Fritzsche, Stefan Schoder, Manfred Kaltenbacher, Stefan Becker   +8 more
doaj   +1 more source

Applying Masking Techniques in LSTM Models for ASD Prediction

openAutism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by atypical patterns of brain connectivity. Functional Magnetic Resonance Imaging (fMRI) provides a non-invasive way to capture these patterns as time series ...
SKURATIVSKA, KATERYNA
core  

Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network

, 2018
A deep learning network was used to predict future blood glucose levels, as this can permit diabetes patients to take action before imminent hyperglycaemia and hypoglycaemia.
Mougiakakou, Stavroula Georgia, Marko V. Jankovic, Sun, Qingnan, Stavroula G. Mougiakakou, Bally, Lia, Qingnan Sun, Jankovic, Marko, Lia Bally   +7 more
core   +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

Improving capacity for advanced training in obstetric surgery: evaluation of a blended learning approach

BMC Medical Education
Background Significant differences in outcomes for mothers and babies following obstetric surgical interventions between low- and middle-income countries and high-income settings have demonstrated a need for improvements in quality of care and training ...
Helen Allott, Alan Smith, Sarah White, Irene Nyaoke, Ogoti Evans, Michael Oriwo Oduor, Steven Karangau, Sheila Sawe, Nassir Shaaban, Ochola Ephraim, Charles Anawo Ameh   +10 more
doaj   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

Rational Molecular Design to Improve Digital Polymer Readout in Aerolysin‐Based Nanopore Sequencing

Angewandte Chemie, EarlyView.
Nanopore sensing holds significant yet underexplored potential for decoding synthetic digital polymers. In this study, we synthesized an extensive library of sequence‐defined poly(phosphodiester)s and evaluated their performance in aerolysin‐based sequencing. By systematically optimizing molecular parameters, we identified an ideal combination of coded
Zhaozheng Yang, Juan Francisco Bada Juarez, Georgette Obeid, Alissa Agerova, Thomas R. Bryner, Davide Cois, Maria J. Marcaida, Chan Cao, Matteo Dal Peraro, Jean‐François Lutz   +9 more
wiley   +2 more sources