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Earlier sources: Fusion
This energy thread follows fusion through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗127 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- OpenAlex · Published · First archived
Uncertainty-aware digital twin-driven fault-tolerant control for autonomous underwater vehicles using temporal fusion transformer-based fault diagnosis ↗
Autonomous underwater vehicles (AUVs) operate in challenging marine environments. The actuator faults, propulsion degradation and environmental disturbances can significantly compromise mission safety and tracking performance. Existing studies have primarily focused on either fault diagnosis or fault-tolerant control as separate tasks. A limited attention has been given to integrating fault diagnosis, predictive digital twins and uncertainty-aware control within a unified framework. To address this challenge, this paper proposes a novel uncertainty-aware digital twin-driven fault-tolerant cont…
- OpenAlex · Published · First archived
Complementary Detection of Zero-Value InsulatorsBased on the Fusion of Infrared Images and ElectricField Intensity Features ↗
To address the electrical safety hazards caused by missing zero-value insulators in high-voltage transmission lines, this study proposes a complementary detection method based on the fusion of infrared images and electric field intensity features. Infrared images of insulator strings are acquired using a UAV-mounted infrared thermal camera, and the surface temperature of each insulator is extracted via YOLOv8 to construct a temperature anomaly factor. Meanwhile, a three-dimensional electric field model of the insulator string is established using COMSOL Multiphysics 6.2 to extract the axial el…
- OpenAlex · Published · First archived
Uncertainty-aware adaptive fusion with graceful degradation for trustworthy cervical cytology ↗
Abstract Trustworthy cervical cancer screening requires not only accurate classification but also reliable estimation of predictive uncertainty to identify cases that should be referred to clinical experts. This study presents an uncertainty-aware deep learning framework that integrates an ensemble image encoder comprising ResNet50, DenseNet121, and EfficientNet-B0 with dedicated clinical and genomic encoders through an adaptive fusion mechanism. Modality-specific predictions are subsequently combined using a convex weighting scheme driven by predictive entropy estimated via Monte Carlo Dropou…
- OpenAlex · Published · First archived
Multi-Sensor Dictionary Fusion-Driven Sparse Representation Classification Method for Gearbox Fault Diagnosis ↗
As a powerful tool for sparse signal representation, dictionary learning has gained traction in data-driven fault diagnosis. However, noise interference exists in actual industrial environments; noise as a common feature across all classes inevitably covers discriminative features, thereby impairing the diagnostic performance of methods reliant on dictionary learning. To tackle this challenge, this paper proposes a multi-sensor dictionary fusion-driven sparse representation classification method. The initial step involves leveraging a low-rank shared dictionary learning technique to extract di…
- OpenAlex · Published · First archived
Hybrid rank fusion of a group-token transformer with gradient boosting improves detection of evasive and novel-family malware ↗
Static machine-learning malware detectors report near-perfect closed-set accuracy, but the malware that matters operationally is the malware that slips past detection and the malware that belongs to families never seen in training. We study both on three longitudinal benchmarks: EMBER2024 (3.2 M Windows, .NET, APK, ELF and PDF files, 52 training weeks and 12 test weeks, plus a challenge set of 6,315 files that evaded every antivirus engine at first sight), LAMDA (1.0 M Android applications, 2013–2025, with an IID/NEAR/FAR drift protocol) and BODMAS (134 K PE files, 2019–2020, monthly evaluatio…
- Hacker News · Posted on Hacker News · First archived
Megakernels on Mac: What Fusion Saves and What It Costs ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Sensor Fusion ↗
Hacker News discussion.
- OpenAlex · Published · First archived
Single-Ended Transmission Line Fault Location Based on Multi-Wavelet Time–Frequency Feature Fusion and a Residual Neural Network ↗
Accurate fault location on transmission lines is essential for rapid fault isolation and reliable power-system operation. This paper presents a single-ended transmission line fault location method based on multi-wavelet time–frequency feature fusion and a residual neural network. First, a complex-domain transient analytical model accounting for the frequency-dependent characteristics of transmission lines is developed to efficiently generate fault-induced traveling-wave samples. The continuous wavelet transform (CWT) is then applied to these samples using multiple mother wavelets, and the resu…
- OpenAlex · Published · First archived
Two-Stage Multi-Frame Fusion Model for Radar Anti-Jamming Target Detection with Range-Doppler Maps ↗
Mainlobe active deception jamming significantly degrades radar target detection in complex electromagnetic environments. Current anti-jamming detection approaches inadequately exploit the spatiotemporal information inherent in target echoes, thereby fundamentally limiting their capacity for reliable detection and robust true–false discrimination. Therefore, this paper proposes a trajectory-guided two-stage multi-frame fusion detection (TSMF-Det) model based on range-Doppler (R-D) maps. Initially, a lightweight candidate detector is utilized to generate high-recall candidate boxes, which are th…
- OpenAlex · Published · First archived
Tool-grounded large language models for decision-level fusion in fault diagnosis ↗
Modern condition-monitoring systems generate heterogeneous information, such as high-rate sensor streams, derived health indicators, and discrete event histories, that must be combined into actionable diagnostic statements. Large language models (LLMs) are attractive as a decision-level fusion mechanism because they natively handle the textual modality, but their use in safety-critical fault diagnosis is impeded by hallucinated numerical content and stochastic outputs. This paper proposes a two-level information-fusion framework that uses an LLM as a constrained fusion operator rather than as…
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How to assess evidence about Fusion
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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