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View article: Defense Strategy Against False Data Injection Attacks on Cyber–Physical System for Vehicle–Grid Based on KNN-GAE
Defense Strategy Against False Data Injection Attacks on Cyber–Physical System for Vehicle–Grid Based on KNN-GAE Open
With the in-depth integration of electric vehicles (EVs) and smart grids, the Cyber–Physical System for Vehicle–Grid (CPSVG) has become a crucial component of power systems. However, its inherent characteristic of deep cyber–physical coupl…
View article: GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution
GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution Open
Ultra-high-resolution (UHR) remote sensing (RS) imagery offers valuable data for Earth observation but pose challenges for existing multimodal foundation models due to two key bottlenecks: (1) limited availability of UHR training data, and…
View article: AF3Score: A Score-Only Adaptation of AlphaFold3 for Biomolecular Structure Evaluation
AF3Score: A Score-Only Adaptation of AlphaFold3 for Biomolecular Structure Evaluation Open
Scoring biomolecular complexes remains central to structural modeling efforts. Recent studies suggest that AlphaFold (AF) – a revolutionary deep learning model for biomolecular structure prediction - has implicitly learned an approximate b…
View article: Enhanced Human Fall Detection via Lightweight MDS-OpenPose Framework
Enhanced Human Fall Detection via Lightweight MDS-OpenPose Framework Open
Falls among the elderly pose a significant risk of injury and even mortality, underscoring the importance of real-time monitoring systems to mitigate these hazards. Existing posture estimation-based fall detection methods often struggle wi…
View article: RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing
RoMA: Scaling up Mamba-based Foundation Models for Remote Sensing Open
Recent advances in self-supervised learning for Vision Transformers (ViTs) have fueled breakthroughs in remote sensing (RS) foundation models. However, the quadratic complexity of self-attention poses a significant barrier to scalability, …
View article: A Hybrid Framework Combining Autoregression and Common Factors for Matrix Time Series Modeling
A Hybrid Framework Combining Autoregression and Common Factors for Matrix Time Series Modeling Open
Matrix-valued time series are increasingly common in economics and finance, but existing approaches such as matrix autoregressive and dynamic matrix factor models often impose restrictive assumptions and fail to capture complex dependencie…
View article: Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-Grained Labels
Weakly Supervised Deep Learning for Monitoring Sleep Apnea Severity Using Coarse-Grained Labels Open
Sleep apnea, a prevalent sleep-related breathing disorder, often remains undiagnosed and untreated in a large patient population due to the need of extensive manual annotations on various physiological signals for clinical diagnosis. Despi…
View article: Evolution and early warning of supply risks across entire product chain of China’s rare mineral resources
Evolution and early warning of supply risks across entire product chain of China’s rare mineral resources Open
[Objective] Rare mineral resources are critical raw materials supporting strategic emerging industries such as new energy and new materials, and their supply security has become a major concern in resource risk governance for major countri…
View article: Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection
Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection Open
Remote sensing change detection aims to perceive changes occurring on the Earth's surface from remote sensing data in different periods, and feed these changes back to humans. However, most existing methods only focus on detecting change r…
View article: Power quality improvement of unipolar-input-bipolar-output DC transmission system via load power balancing
Power quality improvement of unipolar-input-bipolar-output DC transmission system via load power balancing Open
In DC transmission and distribution systems, both unipolar and bipolar transmission modes exist, and DC transformers used in these systems are also available in either unipolar or bipolar configurations. In actual systems, due to requireme…
View article: Programmable ultrasound imaging guided theranostic nanodroplet destruction for precision therapy of breast cancer
Programmable ultrasound imaging guided theranostic nanodroplet destruction for precision therapy of breast cancer Open
Ultrasound-stimulated contrast agents have gained significant attention in the field of tumor treatment as drug delivery systems. However, their limited drug-loading efficiency and the issue of bulky, imprecise release have resulted in ina…
View article: Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness
Towards Lifecycle Unlearning Commitment Management: Measuring Sample-level Approximate Unlearning Completeness Open
By adopting a more flexible definition of unlearning and adjusting the model distribution to simulate training without the targeted data, approximate machine unlearning provides a less resource-demanding alternative to the more laborious e…
View article: Distribution-Agnostic Probabilistic Few-Shot Learning for Multimodal Recognition and Prediction
Distribution-Agnostic Probabilistic Few-Shot Learning for Multimodal Recognition and Prediction Open
Failure mode recognition and RUL prediction are essential in prognostics health management (PHM) to avoid unexpected failures of units in industrial systems, such as aircraft gas turbine engines. However, insufficient sensor data are quite…
View article: Research on a Resource Modeling and Power Prediction Method Based on Virtual Aggregation
Research on a Resource Modeling and Power Prediction Method Based on Virtual Aggregation Open
Distributed resources at a grid’s end cannot upload operational power data to local centers due to data transmission and privacy issues. This leaves the centers with incomplete information, thus impacting decision making. This paper presen…
View article: Multi-objective optimization of a microchannel heat sink with a novel channel arrangement using artificial neural network and genetic algorithm
Multi-objective optimization of a microchannel heat sink with a novel channel arrangement using artificial neural network and genetic algorithm Open
Effective cooling solutions become increasingly crucial as micro-electrical devices advance in complexity and miniaturization. Microchannel heat sinks (MCHSs) are one of the solutions, and researchers are continuously exploring innovative …
View article: Dual Path Attention Network (DPANet) for Intelligent Identification of Wenchuan Landslides
Dual Path Attention Network (DPANet) for Intelligent Identification of Wenchuan Landslides Open
Currently, the application of remote sensing technology in landslide identification and investigation is an important research direction in the field of landslides. To address the errors arising from the inaccurate extraction of texture an…
View article: Hybrid Game Trading Mechanism for Virtual Power Plant Based on Main-Side Consortium Blockchains
Hybrid Game Trading Mechanism for Virtual Power Plant Based on Main-Side Consortium Blockchains Open
With the rapid development and technological innovation in the energy market, peer-to-peer (P2P) energy trading, as a decentralised and efficient trading model, has been widely studied and practically applied. However, in P2P energy transa…
View article: Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems Open
The Traveling Salesman Problem (TSP) is a well-known combinatorial optimization problem with broad real-world applications. Recently, neural networks have gained popularity in this research area because as shown in the literature, they pro…
View article: A Lightweight convolutional neural network for nicotine prediction in tobacco by near-infrared spectroscopy
A Lightweight convolutional neural network for nicotine prediction in tobacco by near-infrared spectroscopy Open
The content of nicotine, a critical component of tobacco, significantly influences the quality of tobacco leaves. Near-infrared (NIR) spectroscopy is a widely used technique for rapid, non-destructive, and environmentally friendly analysis…
View article: Does Environmental Regulation Promote the Infrastructure Investment Efficiency? Analysis Based on the Spatial Effects
Does Environmental Regulation Promote the Infrastructure Investment Efficiency? Analysis Based on the Spatial Effects Open
Infrastructure investment plays a key role in steady economic growth. Investment in infrastructure is gradually increasing; however, large-scale infrastructure investment is also associated with efficiency problems and environmental proble…
View article: Joint Learning of Failure Mode Recognition and Prognostics for Degradation Processes
Joint Learning of Failure Mode Recognition and Prognostics for Degradation Processes Open
The paper aims to develop a joint learning method for failure mode recognition and RUL prediction of operating units. Specifically, the developed method addresses a challenging issue in practice, i.e., how to effectively conduct failure mo…
View article: A Stepwise Diagnosis Method for the Catalyst Loss Fault of the Cyclone Separator in FCC Units
A Stepwise Diagnosis Method for the Catalyst Loss Fault of the Cyclone Separator in FCC Units Open
The catalyst loss is one of the main faults that affects the long-term run of an FCC unit. Most catalyst loss faults, namely excessive emissions of the catalyst, are closely related to cyclone separators. The catalyst loss faults of the cy…
View article: Research on Grid Information Model (GIM) Technology of Transmission Line Based on Full-area Feature Weight Template Matching Recognition
Research on Grid Information Model (GIM) Technology of Transmission Line Based on Full-area Feature Weight Template Matching Recognition Open
Aiming at the problems of low efficiency, poor spatial location and incomplete attribute information in current transmission line modeling methods, a refined modeling method for transmission lines based on full area feature weighted templa…
View article: TSR Action and Genesis Mechanism of Antimony Deposit: Evidence From Aromatic Hydrocarbon Geochemistry of Bitumen in Paleo-Oil Reservoir Near Qinglong Ore Field, Southwestern Guizhou Depression, China
TSR Action and Genesis Mechanism of Antimony Deposit: Evidence From Aromatic Hydrocarbon Geochemistry of Bitumen in Paleo-Oil Reservoir Near Qinglong Ore Field, Southwestern Guizhou Depression, China Open
In Qinglong ore field, paleo-oil reservoir is found to be associated with antimony deposits, and they have close genetic relationship. In this study, aromatics geochemistry of paleo-oil reservoir bitumen was studied to further discuss the …