Results 51 to 60 of about 19,064 (239)

Recent Advances in Ru‐Based Photothermal Catalysts: From Light Harvesting to Thermal Utilization and Reactor Design

EcoEnergy, EarlyView.
Overview of Ru‐based photothermal catalysis from light harvesting to heat utilization. The performance of Ru‐based photothermal catalysts is governed by four interconnected energy‐utilization steps: light harvesting, heat generation, heat retention, and heat utilization.
Cong Wang, Qi Wang, Tingting Zhao, Chan Guo, Shikang Xiao, Huayang Zhang, Hao Wang, Fenglong Wang   +7 more
wiley   +1 more source

Crane Grus grus

Acrocephalus, 2007
On 29 Nov 2007, a flock about 150 Cranes Was observed flying over the city center of osijek (UTM CR14). The Cranes came from baranja in the northeast. The flock soon dispersed over the city, then started circling and rising to a higher altitude. As is was sunny on that day, we could cleary watch the birds through binoculars as well as hear their ...
Jurčević, Ivančica, Bogdanović, Tomislav   +1 more
openaire   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

Epilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie, Arianna Damiani, Mahsa Khoshkhou, Luis A. Sanchez, Rachel J. Smith, Shruti H. Agashe, Jorge A. Gonzalez‐Martinez, Jennifer Hopp, Adam S. Charles, Sridevi V. Sarma, Joon‐Yi Kang   +10 more
wiley   +1 more source

Detecting Language Anxiety in Indonesian Students: Deep Learning and Traditional Classification Methods for English Learning Anxiety

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Mastery of the English language represents a fundamental determinant of professional achievement, particularly for individuals seeking to develop their careers and participate in international contexts.
Kemas Muslim Lhaksmana, Muhammad Sya’bani Falif, Iis Kurnia Nurhayati, Muhammad Yudhi Rezaldi, Esa Prakasa, Rickman Roedavan   +5 more
doaj   +1 more source

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Adversarial perturbation and bidirectional attention mechanism for few-shot English text classification

Journal of Applied Science and Engineering
In few-shot text classification, how well the query and support sets are encoded largely decides the final accuracy. Yet, most prior methods overlook the pairwise correspondences between them and treat all features as equally important, neglecting the ...
Xianghua Wu
doaj   +1 more source

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

Energy Science &Engineering, EarlyView.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat, Subhash Chandra, Vinay Kumar Deolia   +2 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

Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning

Food Bioengineering, EarlyView.
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang, Shuangcheng Huang, Qingbo Lu, Xinyi Guo   +3 more
wiley   +1 more source

Classification of User Expressions on Social Media Using LSTM and GRU Models

Jurnal Sisfokom
Social media serves as a platform for sharing information. Through social media, users can interact with others and express their feelings and emotions. Therefore, emotion analysis plays a crucial role in understanding users' conditions regarding various
I Gede Putra Mas Yusadara, I Gusti Ayu Desi Saryanti   +1 more
doaj   +3 more sources