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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 ↗129 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
Unified analytical thermal modeling of laser powder bed fusion: Integration of semi-infinite heat conduction and boundary effects ↗
This article proposes a novel implementation of a classic analytical thermal model for a moving heat source in bounded regions, building on the exact solution for the temperature distribution arising from a stationary heat source in a wedge with zero-flux boundaries. With the implementation of this boundary-aware basis, the model, for the first time, provides a single closed-form solution that accounts for both conduction in a semi-infinite domain and boundary effects simultaneously, eliminating the need for separate calculations for each. Furthermore, the primary significance of the proposed…
- OpenAlex · Published · First archived
Acceleration response reconstruction of a television tower via deep learning with multi-scale feature fusion ↗
Accurate reconstruction of structural response signals in structural health monitoring (SHM) remains challenging under complex operating conditions involving communication interruptions, sensor malfunctions, and environmental variability. To overcome these challenges, this study proposes a multi-scale temporal feature fusion method for multi-source SHM data in complex engineering environments. First, the proposed method employs a dilated temporal convolutional network (TCN) as a front-end feature extractor to capture multi-scale temporal dependencies in the historical environmental-variable se…
- OpenAlex · Published · First archived
Dynamic structural operational safety assessment and decision support for concrete arch dams via multi-source monitoring data fusion and interval-valued intuitionistic fuzzy reasoning ↗
Structural operational safety assessment of high concrete arch dams remains challenging because the importance of monitoring indicators varies with operating conditions, while the evaluation process is affected by multiple sources of uncertainty. To address these issues, this study develops a dynamic data-driven evaluation framework for structural operational safety assessment. Initially, a hierarchical indicator system and a refined grading scheme are established using multi-source structural response sequences. An adaptive weighting mechanism is then developed by coupling the cross-correlati…
- OpenAlex · Published · First archived
Motion deblurring of long exposure images in low light condition by selective fusion of visible and near infrared images ↗
Shooting in low light condition needs prolonged exposure time to take a high quality image by increasing the amount of incident light into a camera sensor. However, long exposure images contain motion blur by object movement. Since near infrared (NIR) images are more robust to low light condition without color information than visible (VIS) images, multi-sensor fusion of VIS and NIR images provides a viable solution to low light imaging for high quality photographs. In this paper, we propose motion deblurring of long exposure images in low light condition by selective fusion of VIS and NIR ima…
- OpenAlex · Published · First archived
Multi-Scale Gated Aggregation for solar irradiance forecasting: A general fusion method for intra-modal and cross-modal scenarios ↗
Artificial intelligence-based solar irradiance forecasting is crucial for grid-integrated photovoltaic systems. While current methods range from textual time-series models to multimodal approaches combining text with sky images, they often grapple with high computational costs, limited feature extraction, and inefficient multimodal fusion. To address these issues, this paper proposes a novel Multi-Scale Gated Aggregation (MSGA) method—a unified, linear-complexity fusion mechanism applicable to both intra-modal (e.g., endogenous–exogenous variables) and cross-modal (e.g., text–image) scenarios.…
- OpenAlex · Published · First archived
Multiscale feature fusion based CNN with feature ranking for satellite image classification ↗
Satellite image classification plays an important role in various applications like monitoring, surveillance, land cover planning, etc. Deep learning models with many learnable parameters face overfitting as model depth increases and have struggled to extract both fine details and broader patterns simultaneously. To overcome the aforementioned issues, an efficient CNN model of <0.23 million parameters is proposed, utilising the extraction of multiscale features across different CNN branches. After concatenating the two branches, a global average pooling (GAP) layer is added to mitigate overfit…
- arXiv · Published · First archived
Architecture-Dependent Fusion Pathways in MLLMs ↗
Multimodal Large Language Models (MLLMs) achieve strong performance across vision-language tasks, yet the internal mechanisms by which visual and textual information are fused across layers remain insufficiently understood. We investigate representative MLLMs from two architectural paradigms: concatenation architectures and native multimodal architectures. We conduct three progressively connected analyses: alignment decoupling identifies which modality changes, attention routing and entropy characterize how cross-modal information is distributed, and intrinsic dimensionality examines how fusio…
- arXiv · Published · First archived
Consecutive Posterior Fusion for Diffusive Recovery of Unobservable Image Structures ↗
Solving severely ill-posed imaging inverse problems requires recovering image structures that are unobservable or weakly constrained by the measurements. Diffusion models provide expressive learned priors for inferring such missing information, while posterior sampling incorporates measurement consistency along the reverse process. Standard diffusion posterior samplers, however, rely on instantaneous measurement-aware estimates, without explicitly exploiting information carried by previous posterior corrections. We introduce Consecutive Posterior Fusion Denoising Diffusion Null-Space Models (C…
- OpenAlex · Published · First archived
Multi-Modal Bearing Fault Diagnosis Based on Multiscale Feature Enhancement and Adaptive Fusion ↗
Bearings are critical components of modern large-scale rotating machinery, such as wind turbines, and their operating condition directly affects system safety, reliability, and operation and maintenance costs. Vibration and current signals reflect the mechanical responses and electromechanically coupled responses induced by bearing faults, respectively, and the two modalities differ in their characteristic representations of fault information. When vibration and current features are fused only once at the end of a network, early complementary information cannot be incorporated into subsequent…
- OpenAlex · Published · First archived
MAFNetMPI: A multimodal attention fusion network for machining process identification in 3D CAD models ↗
Abstract Machining process identification (MPI) is a critical step in automated manufacturability assessment and computer-aided process planning, enabling early decisions on feasible process chains directly from part geometry. Existing learning-based approaches to manufacturing-oriented shape analysis rely predominantly on a single geometric representation, such as voxels, point clouds, or multiview projections, each of which captures only a subset of the geometric cues relevant to machining. Furthermore, publicly available CAD datasets are primarily used for manufacturability analysis or feat…
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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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