Results 61 to 70 of about 17,724 (252)

Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries

InfoScience, EarlyView.
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang, Yuhang Meng, Tianhao Chen, Xiangfen Jiang, Yoshio Bando, Jinjue Zeng, Xuebin Wang   +6 more
wiley   +1 more source

Model Hybird Fuzzy Logic dan Deep Learning untuk Prediksi Harga Saham

Edumatic
Stock price prediction is a major challenge in the financial sector due to nonlinear factors and data uncertainty. This study aims to develop a predictive model by integrating fuzzy logic into deep learning algorithms to improve accuracy and robustness ...
Asep Muhidin, Elkin Rilvani, Candra Naya
doaj   +1 more source

Predicting monthly gold prices in indian rupees using ARIMA, LSTM, GRU, and Simple Linear Regression models [PDF]

Revista Română de Informatică și Automatică
For investors and financial analysts to make informed decisions, having precise forecasts of gold prices is crucial. This study examined the effectiveness of various time series models in predicting gold prices in Indian Rupeea variety of models, ranging
Hanan ALJOHANI, Sawsan ALSHAMRANI, Nahla ALJOJO, Araek TASHKANDI, Tariq ALSAHFI   +4 more
doaj   +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

Deep Learning-Enhanced Comparative Analysis of ARIMA, Seasonal ARIMA, and Gated Recurrent Unit Models for Forecasting Car Sales

International Journal of Informatics, Information System and Computer Engineering
This study aims to assess and compare the performance of three forecasting models—Autoregressive Integrated Moving Average (ARIMA), Seasonal Autoregressive Integrated Moving Average (SARIMA), and Gated Recurrent Unit (GRU)—in predicting Toyota car sales ...
Fariz Zakaria, Ema Utami
doaj   +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

Using synthetic models to understand the detecting ability of ground‐penetrating radar for water‐conducting structures in the bedrock of formerly glaciated site

Near Surface Geophysics, EarlyView.
Abstract Utilizing synthetic models for the interpretation of ground‐penetrating radar (GPR) profiles can aid in the detection of hydrogeological structures by identifying their signatures. In this study, finite difference (FD) forward modelling was used to understand the detection ability of 50 MHz GPR for (1) the quaternary deposit–bedrock contact ...
Annika Katarina Åberg, Salla Eeva, Emilia Koivisto, Susanne Charlotta Åberg, Seija Kultti, Kirsti Korkka‐Niemi   +5 more
wiley   +1 more source

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, EarlyView.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Building an Online Learning Model Through a Dance Recognition Video Based on Deep Learning

Информатика и автоматизация
Jumping motion recognition via video is a significant contribution because it considerably impacts intelligent applications and will be widely adopted in life. This method can be used to train future dancers using innovative technology. Challenging poses
Nguyen Viet Hung, Thang Quang Loi, Nguyen Hai Binh, Nguyen Thi Thuy Nga, Truong Thu Huong, Duc Lich Luu   +5 more
doaj   +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