Search: computational complexity — Academic Articles

Learning-Aided Deep Path Prediction for Sphere Decoding in Large MIMO Systems

Doyeon Weon, Kyungchun Lee • IEEE Access (2020)

In this paper, we propose a novel learning-aided sphere decoding (SD) scheme for large multiple-input-multiple-output systems, namely, deep path prediction-based sphere decoding (DPP-SD). In this scheme, we employ a neural network (NN) to p...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.2987375

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Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning

Maximilian Hoffmann, Ralph Bergmann • Proceedings of the International Florida Artificial Intelligence Research Society Conference (2023)

In Process-Oriented Case-Based Reasoning (POCBR), experiential knowledge from previous problem-solving situations is retrieved from a case base to be reused for upcoming problems. The task of retrieval is approached in previous work by usin...

DOAJ Open Access (DOAJ) DOI: 10.32473/flairs.36.133039

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Online exam cheating detection and blockchain trusted deposit based on YOLOv12

Haoliang Wang, Zarina Shukur, Khairul Akram Zainol Ariffin, Renhao Xiao et al. • Scientific Reports (2025)

Abstract In recent years, online examinations have been widely adopted because of their flexibility, but the covert and diverse nature of cheating behaviour poses a serious challenge to the fairness and integrity of examinations. Existing a...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-18412-0

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Uncertainty in artificial intelligence

Simon Parsons • The Knowledge Engineering Review (1994)

The first conference on Uncertainty in Artificial Intelligence was held in 1985 by a group of people who felt that their views on the use of probability theory were not receiving a fair hearing from the rest of the Al community. At the time...

OPENALEX Open Access DOI: https://doi.org/10.1017/s0269888900006597

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Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework

Korawege N. C. Jayasena, Battur Batkhishig, Babak Nahid-Mobarakeh, Ali Emadi • IEEE Access (2025)

Bearing faults are a critical concern in electrical machines, particularly permanent magnet synchronous motors (PMSMs), commonly used in electric vehicles. Early and accurate classification of bearing fault severity is essential for predict...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3589750

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<bold>CroSSHeteroFL</bold>: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients

Vo Phuc Tinh, Hoang Hai Son, Nguyen Hoang Nam, Duc Ngoc Minh Dang et al. • IEEE Access (2024)

In the large-scale deployment of federated learning (FL) systems, the heterogeneity of clients, such as mobile phones and Internet of Things (IoT) devices with different configurations, constitutes a significant problem regarding fairness, ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3475737

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Academic Articles & Research Papers

Learning-Aided Deep Path Prediction for Sphere Decoding in Large MIMO Systems

Ranking-Based Case Retrieval with Graph Neural Networks in Process-Oriented Case-Based Reasoning

Online exam cheating detection and blockchain trusted deposit based on YOLOv12

Uncertainty in artificial intelligence

Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework

<bold>CroSSHeteroFL</bold>: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients