Results 191 to 200 of about 5,879,357 (336)

AI‐Assisted Bioelectronics for Personalized Health Management

Advanced Electronic Materials, EarlyView.
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong, Changhao Dai, Xuting Chen, Jilie Kong, Dacheng Wei, Xueen Fang, Wenhao Weng   +6 more
wiley   +1 more source

An Unsupervised Learning Algorithm for the Automatic Classification of Coronary Artery Lesions. [PDF]

Cureus
Szopinska J, Regulski PA, Mazurek M, Grabowski M, Wendykier P, Jozwiak R.   +5 more
europepmc   +1 more source

Tandem Takeoff: Powering Tomorrow with Industrial‐Grade Perovskite/Silicon Solar Cells

Advanced Energy Materials, EarlyView.
Perovskite/silicon tandem solar cells have recently achieved certified power conversion efficiencies of 34.85%, far exceeding the Shockley‐Queisser limit for single‐junction silicon and standalone perovskite cells. This review highlights the latest advances in the design, integration, and optimization of perovskite top cells for monolithic tandem ...
Maria Vasilopoulou, Di Huang, Jue Gong, Faming Li, Hao Zhang, Yinqing Sun, Lin Mao, Ermioni Polydorou, Ioannis G. Aviziotis, Leonidas C. Palilis, Onurcan Kaya, Stephan Roche, Jordi Arbiol, Dimitrios Davazoglou, Emmanuel Kymakis, Lei Liu, Kuan Sun, Abd Rashid bin Mohd Yusoff, Mingzhen Liu, Mohammad Khaja Nazeeruddin   +19 more
wiley   +1 more source

Exploring unsupervised learning techniques for early detection of myocardial ischemia in type 2 diabetes. [PDF]

Front Endocrinol (Lausanne)
Liu B, Hou YJ, Wu P, Han X, Qi H, Yang XY, Wu ZF, Li SJ.   +7 more
europepmc   +1 more source

Unsupervised Learning Techniques for Clustering Analysis of Physicochemical Properties in the Periodic Table Elements

Ricardo Vivas‐Reyes, Sebastián Consuegra-Jiménez, Cesar Tovio-Gracia   +2 more
openalex   +1 more source

Classification of self-care patterns in Korean adults with prediabetes using unsupervised machine learning: a secondary data analysis [PDF]

Mi‐Kyoung Cho, Myoung-Lyun Heo
openalex   +1 more source

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

Advanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said, Ghouti Abdellaoui, Mohammed Benali Kanoun   +2 more
wiley   +1 more source

Technical classification of professional cycling stages using unsupervised learning: implications for performance variability. [PDF]

Front Sports Act Living
Garcia-Atutxa I, Dudagoitia Barrio E, Villanueva-Flores F.   +2 more
europepmc   +1 more source

Revealing and interpreting patterns from continuous seismic data with unsupervised learning

Léonard Seydoux, René Steinmann, Sarah Mouaoued, Reza Esfahani, Michel Campillo   +4 more
openalex   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source