Results 81 to 90 of about 19,064 (239)
Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks
SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi +2 more
wiley +1 more source
An imputation method for single‐cell RNA sequencing data based on a parallel gated recurrent unit neural network [PDF]
Quant BiolAbstract Single‐cell RNA sequencing (scRNA‐seq) generates high‐dimensional transcriptomic data but is severely affected by dropout events, which obscure true gene–gene relationships. These missing values introduce bias into downstream analyses, complicate data processing, and reduce analytical efficiency.
Xu S, Li X, Li J, Jiang Y.
europepmc +2 more sources
Structural Concrete, EarlyView.Abstract Automating bridge inspections requires more than detecting individual damage instances. It demands systems capable of describing, contextualizing, and interpreting damage in an inspection‐relevant manner. Conventional computer vision approaches, such as object detection and segmentation, primarily address visual recognition tasks and are ...
Rona Firdes Çelik +2 more
wiley +1 more source
Environmental Toxicology, EarlyView.ABSTRACT Over the past decades, the growth in human population and economic activities has led to an increase in maritime traffic. This rise puts additional pressure on marine environments, vessel fuel spills being considered to have a major impact on the ecosystem.
Carlos Valiente‐Diaz +2 more
wiley +1 more source
Journal of Water and Climate ChangeAccurate prediction of monthly runoff is critical for effective water resource management and flood forecasting in river basins. In this study, we developed a hybrid deep learning (DL) model, Fourier transform long short-term memory (FT-LSTM), to improve
Sonali Swagatika +4 more
doaj +1 more source
Artificial Intelligence for Engineering, EarlyView.NanoSentry, a sub‐50 KiB unified architecture for multi‐domain prognostics, matches or outperforms models 4.5× $4.5\times $ larger across turbofan, battery, and bearing benchmarks while reducing end‐of‐life prediction error up to 5.8× $5.8\times $. Physical STM32H7 deployment confirms sub‐3 ms inference and up to 26 KiB peak SRAM without quantisation ...
Naem Azam Chowdhury +4 more
wiley +1 more source
FGFR1OP2-FGFR1 induced myeloid leukemia and T-cell lymphoma in a mouse model
Haematologica, 2016 Haiyan Qin +3 more
doaj +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
LSTM AND GRU IN RICE PREDICTION FOR FOOD SECURITY IN INDONESIA
BarekengHunger in Indonesia remains a serious challenge, especially in the face of food price instability, particularly rice as the main staple food. In order to achieve SDG 2 “Zero Hunger” by 2030, policies that support price stability and more effective food ...
Triyani Hendrawati +3 more
doaj +1 more source