Results 71 to 80 of about 19,064 (239)

From structural design to model compression: Research progress on lightweight algorithms for motor imagery brain–computer interfaces

Journal of Intelligent Medicine, EarlyView.
Lightweight Motor Imagery BCI Decoding: From Structural Design to Model Compression. This graphical abstract summarizes the motivation, principal strategies, and deployment benefits of lightweight motor imagery brain–computer interface decoding. Structural‐level lightweight designs, including depthwise separable, multi‐branch, and dilated convolutions,
Yijie Zhou, Zhuoyue Chu, Shengcui Cheng, Mingming Zhang, Long Chen, Zhongpeng Wang   +5 more
wiley   +1 more source

Breeding and migration ecology of Common Crane (Grus grus L.)

, 2019
Käesolevas tööd uuriti Eestis pesitseva sookure asurkonna suuruse ja leviku muutusi ning võimalike pesitsusalade levikut Eestis (I, IV), Eesti asurkonna elupaiga valikut ja selle seost pesitsusedukuse ning -fenoloogiaga (II), sügisrändel peatuvate lindude arvukuse muutusi seoses põllumajandusliku maakasutusega (III), sookurgede kasutatava ökoloogilise ...
openaire   +1 more source

SparGlu: A sparse‐data evaluation framework for gated recurrent unit‐based blood glucose prediction across varying monitoring intervals

Journal of Intelligent Medicine, EarlyView.
A sparse‐aware GRU model accurately predicts blood glucose levels using downsampled and limited data, achieving clinically safe forecasts even under low‐monitoring conditions. By effectively capturing glucose dynamics through residual learning, the model supports personalized diabetes self‐management, offering a practical solution for resource‐limited ...
Genet Tadese Aboye, Jasper Gielen, Gizeaddis Lamesgin Simegn, Jean‐Marie Aerts   +3 more
wiley   +1 more source

Recent Advances (2023–2025) of Capillary Electrophoresis‐Mass Spectrometry (CE‐MS) for Top‐Down Proteomics

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Top‐down proteomics (TDP) characterizes proteoforms in cells, tissues, and biofluids, in discovery mode and on a global scale, requiring analytical tools with high peak capacity for proteoform separation and high sensitivity for proteoform detection, given the extremely high proteoform complexity and wide proteoform concentration dynamic range.
Guijie Zhu, David A. Alvarez Rodriguez, Noah Gould, Alexander R. Ivanov, Kevin Jooß, Liangliang Sun   +5 more
wiley   +1 more source

Uncertainty Characterization Framework for Machine Learning Based ACM in Q‐Band Satellite Links

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Adaptive coding and modulation (ACM) is a widely utilized technique in satellite communication networks to mitigate the adverse effects of rain fades, particularly in extremely high frequency (EHF) bands. As a core component of fade mitigation techniques (FMTs), ACM improves signal resilience.
Kamolideen Abolarinwa, Kufre‐Mfon Ekerete, Ali Roula, Ifiok Otung   +3 more
wiley   +1 more source

Artificial Intelligence for Blue Transformation: A Review of Predictive Modeling and Decision Support Systems in Sustainable Aquaculture

Sustainable Development, EarlyView.
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley   +1 more source

Network Latency Estimation for Telesurgery Using Deep Reinforcement Learning

SmartBot, EarlyView.
Overview of the proposed two‐stage deep reinforcement learning framework for network latency prediction in telesurgery. The pipeline includes data collection from simulated catheter navigation sessions (Philippines–Botswana), feature engineering, DQN‐based direction prediction (85.8% accuracy), direction‐to‐value transformation, and value forecasting ...
Bakang Kgopolo, Rodrigo S. Jamisola Jr., Molaletsa Namoshe   +2 more
wiley   +1 more source

EPCMSDB: Design of an ensemble predictive control model for solar PV MPPT deployments via dual bioinspired optimizations

Science and Technology for Energy Transition
With the increasing demand for renewable energy, solar power has emerged as a promising option for sustainable power generation. However, the effectiveness and efficiency of solar power systems rely on the ability to effectively manage their performance,
Hole Shreyas Rajendra, Das Goswami Agam
doaj   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Application of deep learning techniques for analysis and prediction of particulate matter at Kota city, India

EQA
Air pollution significantly threatens human health and the environment, making accurate prediction of pollutant concentrations crucial for effective mitigation.
Lovish Sharma, Hajari Singh, Mahendra Pratap Choudhary   +2 more
doaj   +1 more source