Results 51 to 60 of about 1,558,876 (138)
HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning
Overview of HADA, an unsupervised fraud detection pipeline that preprocesses and scales transaction data, applies PCA for dimensionality reduction, scores anomalies using Isolation Forest, selects anomalous transactions via thresholding, and clusters the selected anomalies using Agglomerative Hierarchical Clustering (AHC) to produce interpretable ...
Francis Thiong'o +3 more
wiley +1 more source
Abstract AI‐based large language models (LLMs) have gradually made their way into various fields, transforming industries and changing the way we solve problems. LLMs have great potential in healthcare, where they can share the burden of data management, retrieval, and decision‐making.
Muhammad Umar +11 more
wiley +1 more source
Forecasting Research Trends Using Knowledge Graphs and Large Language Models
When research trends can be anticipated, academia and industry are able to allocate limited resources more effectively and accelerate innovation. By constructing knowledge graphs using large language models, this study analyzes the time evolution of nuclear materials research concepts and suggests a data‐driven approach of forecasting research trends ...
Maciej Tomczak +7 more
wiley +1 more source
Spatially Coupled Turbo Codes [PDF]
In this paper, we introduce the concept of spatially coupled turbo codes (SC-TCs), as the turbo codes counterpart of spatially coupled low-density parity-check codes. We describe spatial coupling for both Berrou et al. and Benedetto et al.
Michael Lentmaier +8 more
core +1 more source
Multi-level Turbo Decoding Assisted Soft Combining Aided Hybrid ARQ [PDF]
Hybrid Automatic Repeat reQuest (ARQ) plays an essential role in error control. Combining the incorrectly received packet replicas in hybrid ARQ has been shown to reduce the resultant error probability, while improving the achievable throughput.
Chen, Hong +5 more
core +1 more source
Comparative Study of Turbo Decoding Techniques: An Overview
In this contribution, we provide an overview of the novel class of channel codes referred to as turbo codes, which have been shown to be capable of performing close to the Shannon Limit.
Woodard, J.P., Hanzo, L.
core +1 more source
Low-Complexity Multiple-Component Turbo Decoding Aided Hybrid ARQ
Previous research has focused on improving the throughput of Hybrid Automatic Repeat reQuest (HARQ) schemes. However, since turbo codes have been introduced into HARQ schemes, their complexity has increased owing to the iterative Bahl, Cocke, Jelinek and
Chen, Hong +2 more
core +1 more source
Space-Time Codes and Concatenated Channel Codes for Wireless Communications
Following a brief historical perspective on channel coding, an introduction to space–time block codes is given. The various space–time codes considered are then concatenated with a range of channel codecs, such as convolutional and block-based turbo ...
Liew, T.H., Hanzo, Lajos
core +1 more source
In this treatise we characterise the achievable performance of a proprietary video transmission system, which employs a Constant Bit Rate (CBR) video codec that is concatenated with one of three error correction codecs, namely a Reversible Variable ...
Yeap, B. L. +3 more
core +1 more source
Entanglement-Assisted Quantum Codes from Cyclic Codes. [PDF]
Pereira FRF, Mancini S.
europepmc +1 more source

