A5012139234- Advanced Steganography and Watermarking Techniques
- Advanced Image Fusion Techniques
- Cancer-related molecular mechanisms research
- Image and Signal Denoising Methods
- Advanced Image Processing Techniques
- Digital Media Forensic Detection
- Power Systems and Renewable Energy
- Image Enhancement Techniques
- Smart Grid and Power Systems
- Higher Education and Teaching Methods
- Power Systems and Technologies
- Advanced Vision and Imaging
- Advanced Data Compression Techniques
- Visual Attention and Saliency Detection
- Geoscience and Mining Technology
- Industrial Technology and Control Systems
- Innovative Microfluidic and Catalytic Techniques Innovation
- Image Processing Techniques and Applications
- Simulation and Modeling Applications
- Advanced Image and Video Retrieval Techniques
- Educational Technology and Assessment
- Synthesis and Catalytic Reactions
- Molecular Biology Techniques and Applications
- Education and Work Dynamics
- Advanced Sensor and Control Systems
Nanyang Technological University
2025
Powerchina Huadong Engineering Corporation (China)
2025
PowerChina (China)
2025
Donghua University
2025
Institute of Hematology & Blood Diseases Hospital
2008-2025
Chinese Academy of Medical Sciences & Peking Union Medical College
2008-2025
Shangrao Normal University
2017-2025
Shanghai Open University
2021-2024
Shanghai University
2021-2024
Hangzhou Normal University
2009-2024
Knowledge distillation (KD) is a prevalent model compression technique in deep learning, aiming to leverage knowledge from large teacher enhance the training of smaller student model. It has found success deploying compact models intelligent applications like transportation, smart health, and distributed intelligence. Current methods primarily fall into two categories: offline online distillation. Offline involve one-way process, transferring unvaried student, while enable simultaneous...
Proposal of a global classification system and unified nomenclature to follow the evolution zoonotic influenza A/H9 virus, with aim improving communication on its epidemiology, evolution, spread at an international level.
TEAD (TEA domain transcription factor) 1-a major effector of the Hippo signaling pathway-acts as an oncoprotein in a variety tumors. However, function TEAD1 vascular smooth muscle cells (VSMCs) remains unclear. To assess role injury-induced proliferation and delineate mechanisms underlying its action. We found that expression is enhanced mouse femoral artery after wire injury correlates with activation mTORC1 (mechanistic target rapamycin complex 1) vivo. Using inducible muscle-specific...
A fuel metering valve actuated by two binary-coded digital arrays (BDVAs) is proposed to improve the reliability of conventional valves piloted a servo valve. The design concept this configuration obtained from structural characteristics dual nozzle-flapper and flow regulation method hydraulic technology. structure working principle are presented. Then, mathematical model entire developed for dynamic analysis. Subsequently, mechanism transient uncertainty BDVA revealed through simulation...
Green manufacturing and remanufacturing revolve around recycling end-of-life (EOL) products. One crucial aspect of this process is the disassembly line balancing problem (DLBP), which involves assigning tasks to workstations in a logical order. However, current DLBP models often overlook operator-related factors energy efficiency. This paper introduces multi-objective model that considers both operator factors. The aims minimise idle rate, improve smoothness, reduce consumption, balance...
Considering the characteristics of rooftop photovoltaic (PV) array, a new mathematical model PV array that is suitable for partial shading condition built based on an engineering solar cell. It derived theoretically output voltage can be expressed by piecewise function. Moreover, global maximum power point tracking (MPPT) control method particle swarm optimisation (PSO) and incremental conductance algorithm (INC) coordination put forward under shading. When environmental conditions are...
Controlling and managing surface source pollution depends on the rapid monitoring of total nitrogen in water. However, complex factors affecting water quality (plant shading suspended matter water) make direct estimation extremely challenging. Considering spectral response mechanisms emergent plants, we coupled discrete wavelet transform (DWT) fractional order discretization (FOD) techniques with three machine learning models (random forest (RF), bagging algorithm (bagging), eXtreme Gradient...
We propose an uplink full-duplex (FD) cooperative non-orthogonal multiple access (NOMA) system, where a dedicated Full-duplex relay is used to help two users transmitting information the base station. A novel FD transmission mode proposed, in which utilizes successive interference cancellation (SIC) and self-interference decode symbols at receiving antenna, antenna transmits superimposed signal station using superposition coding. In this paper, we also consider more realistic scenario...
This work investigated the feasibility of manufacturing composite cross-laminated timber (CCLT) from bamboo and a western hemlock amabilis fir mix (hem-fir). Bamboo parallel strand lumber (bamboo PSL) was first fabricated as surface laminae CCLT. No. 2 Btr 2×6 hem-fir dimension imported British Columbia (BC), Canada. The then sorted further dried to form inner Multiple 800 × 800-mm CLT billets were using commercial single-component polyurethane (PUR) adhesive. Block shear delamination tests...
A dual-functional nanosysterm is developed by means of Chlorin e6 (Ce6) as photosensitizer and 1,3-Diphenylisobenzofuran (DPBF) fluorescent singlet oxygen (1O2) probe. Under 660 nm laser irradiation, Ce6 exhibites efficient 1O2 generation, subsequently the production assessed ratiometric fluorescence PFO DPBF under one-photon two-photon excitation mode. The nanoparticles with excellent biocompatibility can be internalized into Hela cells applied for tumor treatment. For intracellular PDT,...
Wind power output has strong randomness, volatility, and intermittency. To maintain the safety stability of large grid under new system, high-precision medium-term wind forecasting is urgently needed. This paper fully leverages temporal dynamics dataset proposes a ensemble model that integrates transfer entropy, improved complete empirical mode decomposition with adaptive noise (ICEEMDAN) decomposition, dual attention mechanism, multiple recurrent neural networks. Firstly, we compare entropy...