Results 41 to 50 of about 5,130 (182)

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

Attention-based bidirectional GRU networks for efficient HTTPS traffic classification

Information Sciences, 2020
Abstract Distributed and pervasive web services have become a major platform for sharing information. However, the hypertext transfer protocol secure (HTTPS), which is a crucial web encryption technology for protecting the information security of users, creates a supervisory burden for network management (e.g., quality-of-service guarantees and ...
Xun Liu, Junling You, Yulei Wu, Tong Li 0012, Liangxiong Li, Zheyuan Zhang, Jingguo Ge   +6 more
openaire   +2 more sources

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

Automated detection and recognition system for chewable food items using advanced deep learning models

Scientific Reports
Identifying and recognizing the food on the basis of its eating sounds is a challenging task, as it plays an important role in avoiding allergic foods, providing dietary preferences to people who are restricted to a particular diet, showcasing its ...
Yogesh Kumar, Apeksha Koul, Kamini, Marcin Woźniak, Jana Shafi, Muhammad Fazal Ijaz   +5 more
doaj   +1 more source

AN AIR QUALITY FORECASTING MODEL BASED ON BIDIRECTIONAL GRU AND LSTM

International Research Journal of Computer Science, 2021
With the urban and industrial growth, many evolving countries suffer from excessive air pollution. The growing concern about air pollution has been raised by the government and people because it affects individual’s health and sustainable development globally.
Veena Aneja, Rajeev Kumar Singh
openaire   +1 more source

A Novel Single‐Encounter‐Emphasise‐Attention Neural Network for Predictive Maintenance in Urban Infrastructure

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The Riyadh Metro represents a significant project in Saudi Arabia, designed to transform urban transportation and reduce traffic congestion within the city. With six metro lines and 85 stations, the network is expected to serve millions of passengers daily, necessitating innovative digitally driven maintenance approaches to ensure reliable ...
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley   +1 more source

A Multi‐Agent Bidding Strategy in Day‐Ahead Joint Energy and Reserve Markets Considering Risk Preferences

IET Smart Energy Systems, EarlyView.
A PER‐MATD3‐based bidding model for generators in day‐ahead joint energy and reserve markets is proposed. An aggressiveness coefficient quantifies risk preference, KAN improves interpretability and simulation results demonstrate enhanced coordinated decision‐making and training stability.
Xinge Xu, Teng Yan, Xiuming Bao, Dong Liu, Guodong Guo, Yingyun Sun   +5 more
wiley   +1 more source

Construction of Power Fault Knowledge Graph Based on Deep Learning

Applied Sciences, 2022
A knowledge graph can structure heterogeneous knowledge in the field of power faults, construct the correlation between different pieces of knowledge, and solve the diversification, complexity, and island of fault data.
Peishun Liu, Bing Tian, Xiaobao Liu, Shijing Gu, Li Yan, Leon Bullock, Chao Ma, Yin Liu, Wenbin Zhang   +8 more
doaj   +1 more source

Artificial Intelligence Resources for the Screening of Titles and Abstracts in Systematic Reviews: A Scoping Review

Cochrane Evidence Synthesis and Methods, Volume 4, Issue 5, September 2026.
ABSTRACT Introduction Artificial intelligence (AI) is a branch of technology enabling machines to emulate complex human skills; it can also entail problem‐solving using bioinspired methods. It is used for automating systematic literature reviews (SLR), that is, defining a clinical question, locating relevant literature, preliminary screening, study ...
Ana M. Barragán, Sara Elena Ortiz Bonett, Eliana‐Isabel Rodríguez‐Grande, Alvaro David Orjuela‐Cañón, Oscar J. Perdomo, Guillermo Sánchez‐Vanegas   +5 more
wiley   +1 more source

Forecasting Sesame Price in Ethiopia Using Recurrent Neural Network Based Deep Learning Algorithms

International Journal of Computational Intelligence Systems
Sesame is Ethiopia's second-most important crop after coffee, supporting farmer incomes and contributing to foreign exchange earnings. In 2018, it generated approximately 449 million USD, and in 2010, it accounted for 14% of global exports.
Yihun Tewachew, Abebe Alemu, Asnake Wodaynew, Yohannes Mekuriaw   +3 more
doaj   +1 more source