Results 211 to 220 of about 126,873 (298)
Abstract Writing is crucial in tertiary education, yet enhancing the complexity of academic writing presents significant challenges for second language (L2) learners. This study explores the potential of dialogue journal writing (DJW), an interactive and low‐stress classroom activity, to enhance writing complexity among novice L2 writers.
Barry Lee Reynolds +2 more
wiley +1 more source
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch +4 more
wiley +1 more source
A survey of model compression techniques: past, present, and future. [PDF]
Liu D +7 more
europepmc +1 more source
ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim +4 more
wiley +1 more source
High Precision Speech Keyword Spotting Based on Binary Deep Neural Network in FPGA. [PDF]
Zhang A, Shi J, Qian H, Wang J.
europepmc +1 more source
ABSTRACT As a government‐regulated public service, traffic signal control (TSC) requires reliable and transparent decision‐making. However, existing deep reinforcement learning (DRL) methods, despite improvements in control accuracy, still lack explainability and generalisation, severely limiting their applicability in real‐world environments.
Hao Huang +8 more
wiley +1 more source
KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection. [PDF]
Ullah S, Wu J, Kamal MM, Saudagar AKJ.
europepmc +1 more source
A Probability‐Aware AI Framework for Reliable Anti‐Jamming Communication
ABSTRACT Adversarial jamming attacks have increased on communication systems, causing distortion and threatening transmissions. Typical attacks rely on traditional, well‐defined cryptographic protocols and frequency‐hopping techniques. Nevertheless, these techniques become vulnerable when facing intelligent jammers.
Tawfeeq Shawly, Ahmed A. Alsheikhy
wiley +1 more source
A Performance Study of Deep Neural Network Representations of Interpretable ML on Edge Devices with AI Accelerators. [PDF]
Schauer J +3 more
europepmc +1 more source
EF-Feddr: communication-efficient federated learning with Douglas-Rachford splitting and error feedback. [PDF]
Xue J, Wang C.
europepmc +1 more source

