Results 181 to 190 of about 21,160 (284)

Intraday Functional PCA Forecasting of Cryptocurrency Returns

Journal of Forecasting, EarlyView.
ABSTRACT We study the functional PCA (FPCA) forecasting method in application to functions of intraday returns on Bitcoin. We show that improved interval forecasts of future return functions are obtained when the conditional heteroscedasticity of return functions is taken into account.
Joann Jasiak, Cheng Zhong
wiley   +1 more source

Engineering Sequestration-Based Biomolecular Classifiers with Shared Resources. [PDF]

ACS Synth Biol
Moghimianavval H, Gispert I, Castillo SR, Corning OBWH, Liu AP, Cuba Samaniego C.   +5 more
europepmc   +1 more source

The Global Patent Landscape of Mushroom‐Derived Functional Foods: Current Status, Future Perspectives, and Artificial Intelligence–Driven Exploration

Food Safety and Health, EarlyView.
The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao, Linhuizi Xiang, Dongmei Liu, Shoucheng Qin, Yue Chen, Xueyan Sun   +5 more
wiley   +1 more source

Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods

Head &Neck, EarlyView.
ABSTRACT Background Venous insufficiency is a major cause of flap failure in head and neck reconstruction. AI provides a reliable, convenient solution for early detection. Methods Clinical data and postoperative flap photos of head and neck cancer patients (2018–2024) at our center were retrospectively collected, categorized into normal and venous ...
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong   +10 more
wiley   +1 more source

A generative framework for enhancing drug target interaction prediction in drug discovery. [PDF]

Sci Rep
Kotkondawar RR, Sutar SR, Kiwelekar AW, Kadam VJ, Jadhav SM.   +4 more
europepmc   +1 more source

Lead‐free inorganic halide perovskite‐based synaptic memory for next generation neuromorphic computing

InfoMat, EarlyView.
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda, Deepak Kumar, Iman Biswas, Manisha Sharma, Youngmin Lee, Sejoon Lee, Sanjeev Kumar Sharma, Aniruddha Mondal   +7 more
wiley   +1 more source

Artificial intelligence-based framework for early detection of heart disease using enhanced multilayer perceptron. [PDF]

Front Artif Intell
Abdullah M.
europepmc   +1 more source

Bio‐inspired inorganic/organic semiconductor heterostructure synapses with UV–visible–NIR wavelength‐dependent responses for image recognition

InfoMat, EarlyView.
This study presents a SnSe2/DNTT heterostructure photonic synaptic transistor that exhibits wavelength‐dependent photoresponses and synaptic plasticity. Operating with low energy consumption, the device extends spectral sensitivity from ultraviolet (UV) to near‐infrared (NIR) wavelengths, significantly enhancing neuromorphic computing performance. When
Shuying He, Huaiyu Gao, Junyao Zhang, Hongrong Chang, Zhiyu Zhang, Jianda Xu, Jie Yang, Jia Huang   +7 more
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

Irrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin, Hasan Er, Mete Yaganoglu, Muhammed Sungur Demir, Abdullah Muratoglu   +4 more
wiley   +1 more source

Enlightened prognosis: Hepatitis prediction with an explainable machine learning approach. [PDF]

PLoS One
Das N, Hossain MB, Adhikary A, Raha AD, Qiao Y, Hassan MM, Bairagi AK.   +6 more
europepmc   +1 more source