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Inventions
Scopus
ISSN 2411-5134 · MDPI AG · 956 artikel di indeks
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Tracing Innovation Pathways
Evaluating innovation and optimising its role in the inventions is fundamental for applied research, that requires planning the use of available resources. Traditional assessment approaches often miss to capture how innovation stagnates between the ideation and prototyping phases (the Valley of…
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Quantitative Evaluation Method for Source-Load Complementarity and System Regulation Capacity Across Multi-Time Scales
Accurate assessment of source-load complementarity and system regulation capacity is critical for secure dispatch and planning in high-penetration renewable power systems. Addressing limitations of existing methods—which rely heavily on static metrics, struggle to capture temporal and tail…
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An ANN-Based MPPT and Power Control Strategy for DFIG Wind Energy Systems with Real-Time Validation
Doubly Fed Induction Generators (DFIGs) are widely employed in variable-speed wind turbine systems due to their high efficiency, enhanced controllability, and economic viability. This paper presents an intelligent neural-network-based control strategy aimed at maximizing wind energy extraction…
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Preparation and Performance of High-Thermal-Conductivity Composite Materials for Online Monitoring Equipment of Ultra-High Voltage Bushings
In response to thermal failure risks in ultra-high voltage (UHV) bushing online monitoring devices and maintenance equipment—caused by high heat generation of electronic components and the intrinsically low thermal conductivity of conventional resin encapsulation materials—this study proposes a…
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Image Captioning Using Enhanced Cross-Modal Attention with Multi-Scale Aggregation for Social Hotspot and Public Opinion Monitoring
Large volumes of images shared on social media have made image captioning an important tool for social hotspot identification and public opinion monitoring, where accurate visual–language alignment is essential for reliable analysis. However, existing image captioning models based on BLIP-2…
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Research on Characterization and Detection Methods of Photovoltaic Cell Thermal Defects Based on Temperature Derivatives
Photovoltaic (PV) cells play an important role in the development of green energy. However, in practical photovoltaic systems, shunting-related defects and hotspot phenomena may originate not only from manufacturing imperfections, but also from mechanical stress and environmental factors during…
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Enhancement Without Contrast: Stability-Aware Multicenter Machine Learning for Glioma MRI Imaging
Gadolinium-based contrast agents (GBCAs) are vital for glioma imaging yet pose safety, cost, and accessibility issues; predicting contrast enhancement from non-contrast MRI via machine learning (ML) provides a safer, economical alternative, as enhancement indicates tumor aggressiveness and informs…
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Conceptual Architecture of a Trustworthy Wind and Photovoltaic Power Forecasting System: A Systematic Review and Design
Accurate and trustworthy forecasting of wind and photovoltaic power generation is essential for the reliable operation and planning of modern power systems. Although recent machine-learning-based forecasting solutions increasingly incorporate elements of trustworthy artificial intelligence, such as…
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Design and Research of a Dual-Target Drug Molecular Generation Model Based on Reinforcement Learning
Dual-target drug design addresses complex diseases and drug resistance, yet existing computational approaches struggle with simultaneous multi-protein optimization. This study presents SFG-Drug, a novel dual-target molecular generation model combining Monte Carlo tree search with gated recurrent…
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Integrating Additive Manufacturing into Dental Production: Innovations, Applications and Challenges
Additive manufacturing (AM) has emerged as a key enabling technology in contemporary dental manufacturing, driven by its capacity for customization, geometric complexity, and seamless integration with digital design workflows. This article presents a technology-oriented narrative review of additive…
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Potential Recovery and Recycling of Condensate Water from Atlas Copco ZR315 FF Industrial Air Compressors
This research examines the feasibility of recovering and recycling condensate water, a waste byproduct generated by Atlas Copco ZR315 FF industrial air compressors utilizing oil-free rotary screw technology with integrated dryers. Given the growing severity of global water scarcity, finding…
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Reinforcement Learning-Based Handover Algorithm for 5G/6G AI-RAN
The increasing number of Base Stations (BSs) and connected devices, coupled with their mobility, poses significant challenges and makes mobility management even more pressing. Therefore, advanced handover (HO) management technologies are required to address this issue. This paper focuses on the…
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Optimization of Electric Bus Charging and Fleet Sizing Incorporating Traffic Congestion Based on Deep Reinforcement Learning
Amid the increasing demand to reduce carbon emissions, replacing diesel buses with electric buses has become a key development direction in public transportation. However, a significant challenge in this transition lies in developing efficient charging strategies and accurately determining the…
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visionMC: A Low-Cost AI System Using Facial Recognition and Voice Interaction to Optimize Primary Care Workflows
This pilot study evaluated the visionMC system, a low-cost artificial intelligence system integrating HOG-based facial recognition and voice notifications, for workflow optimization in a family medicine practice. Implemented on a Raspberry Pi 4, the system was tested over two weeks with 50…
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Screw-Type Shredder for Solid Photopolymer Resin in Microgravity Environments
The invention concerns a screw-driven shredder for solid photopolymer resin, designed for both terrestrial use and prospective deployment in microgravity environments. The system addresses the need for efficient recycling of cured photopolymer waste generated by stereolithography (SLA) 3D…
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Heat Transfer Enhancement and Flow Resistance Characteristics in a Tube with Alternating Corrugated-Smooth Segments
To mitigate the inherent high flow resistance of conventional corrugated tubes, a novel design with alternating clockwise/counterclockwise corrugated segments separated by smooth sections is proposed. A 3D numerical model was developed to systematically evaluate the thermal-hydraulic performance of…
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Multi-Channel Monitoring System with Nanosecond Resolution for Intermittent Faults in Electrical Connectors
Intermittent faults in electrical connectors refer to cases in which contact resistance exceeds a specified threshold for microseconds or less, causing transient power or signal interruptions. Accurate detection and quantitative recording of these events are important for connector reliability…
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Trustworthy Educational Risk Modeling with Calibrated Probabilities, Conformal Uncertainty, Explainable AI, and Graph-Based Refinement
Student dropout remains an important challenge in higher education because it affects degree completion, institutional resource efficiency, workforce preparation, and students’ long-term socioeconomic opportunities. This requires not only accurate predictions but also decision support that is both…
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A Wind Power Prediction Approach on the Grounds of FCM Fuzzy Clustering and TCN–Transformer
With the goal of achieving more accurate wind power predictions by accounting for meteorological influences comprising wind speed, together with wind direction and air pressure, this thesis proposes a method combining fuzzy C-means (FCM) clustering with a TCN–Transformer hybrid model. After…
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Transient Simulation and Optimization of Windage Loss in Flywheel Energy Storage Systems
Global shifts in energy policy have contributed to an increase in electricity generation from renewable sources, which introduces unique issues with volatility and grid reliability. Robust grid-scale energy storage methods must fill the gap between generation and consumption. Flywheel energy…