Results 101 to 110 of about 13,592 (226)
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Accurate load forecasting and reliable anomaly detection are critical for the stable operation of modern smart grids (SGs), which increasingly rely on cyber‐connected infrastructures. However, the integration of smart metres and two‐way communication exposes SGs to data integrity attacks that can manipulate consumption measurements, degrade ...
Murad Ali Khan +4 more
wiley +1 more source
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Efficient autonomous navigation in complex and unstructured environments without pre‐existing maps remains a significant challenge for mobile robotics. Drawing inspiration from rodent neural architectures, this study proposes a brain‐mimetic mapless navigation framework for mobile robots.
Yishen Liao +3 more
wiley +1 more source
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
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Indonesia, located along the Pacific Ring of Fire, experiences high seismic activity with over 6,000 earthquakes annually. Accurate earthquake prediction remains a major challenge because of the complexity of geological dynamics and limitations of ...
Susandri Susandri +2 more
doaj +1 more source
A novel bidirectional LSTM deep learning approach for COVID-19 forecasting. [PDF]
Sci Rep, 2023 Aung NN, Pang J, Chua MCH, Tan HX.
europepmc +1 more source
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 +5 more
wiley +1 more source
An Integrated Framework with ADD-LSTM and DeepLabCut for Dolphin Behavior Classification
Journal of Marine Science and EngineeringCaring for dolphins is a delicate process that requires experienced caretakers to pay close attention to their behavioral characteristics. However, caretakers may sometimes lack experience or not be able to give their full attention, which can lead to ...
Shih-Pang Tseng +3 more
doaj +1 more source
Retracted: IoT-Based Wearable Sensors and Bidirectional LSTM Network for Action Recognition of Aerobics Athletes. [PDF]
J Healthc Eng, 2023 Healthcare Engineering JO.
europepmc +1 more source
Asia-Pacific Journal of Financial Studies, EarlyView.Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley +1 more source
Enhancing efficiency and capacity of telehealth services with intelligent triage: a bidirectional LSTM neural network model employing character embedding. [PDF]
BMC Med Inform Decis Mak, 2023 Shi J +6 more
europepmc +1 more source