Results 51 to 60 of about 1,558,876 (138)

HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
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

Transforming healthcare with large language models: Current applications, challenges, and future directions—a literature review

open access: yesJournal of Intelligent Medicine, Volume 3, Issue 1, Page 8-25, March 2026.
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

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 1, January 2026.
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]

open access: yes, 2014
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]

open access: yes, 2010
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

open access: yes, 2000
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

open access: yes, 2011
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

open access: yes, 2002
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

Turbo Detection of Space-time Trellis-Coded Constant Bit Rate Vector-Quantised Videophone System using Reversible Variable-Length Codes, Convolutional Codes and Turbo Codes

open access: yes, 2004
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

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