A5000795174- Advancements in Photolithography Techniques
- Advanced Sensor and Energy Harvesting Materials
- Electron and X-Ray Spectroscopy Techniques
- Industrial Vision Systems and Defect Detection
- Generative Adversarial Networks and Image Synthesis
- Electrochemical Analysis and Applications
- Digital Media Forensic Detection
- Advanced X-ray Imaging Techniques
- Advanced Optical Network Technologies
- Face recognition and analysis
- Electrocatalysts for Energy Conversion
- Parallel Computing and Optimization Techniques
- Cloud Computing and Resource Management
- Advanced oxidation water treatment
- Electrodeposition and Electroless Coatings
- Software-Defined Networks and 5G
- Advanced Data Storage Technologies
- Muscle activation and electromyography studies
- Conducting polymers and applications
- Advanced Neural Network Applications
- Diabetes Management and Research
- Artificial Intelligence in Healthcare
- Aerosol Filtration and Electrostatic Precipitation
- 3D IC and TSV technologies
- GNSS positioning and interference
Guangxi University of Finance and Economics
2025
Hunan University
2025
State Key Laboratory of Chemobiosensing and Chemometrics
2025
Beijing University of Chemical Technology
2025
The University of Tokyo
2023-2024
King's College London
2024
Siemens (United States)
2018-2024
Shandong University of Science and Technology
2022-2024
Soochow University
2020-2023
Lanzhou University of Technology
2023
Various in situ synthesis methods have been developed for the polymerization of 3,4-ethylenedioxythiophene monomers, such as electropolymerization, oxidative chemical vapor deposition, and phase polymerization. Meeting industrial requirements through these techniques has, however, proven challenging. Here, we introduce an alternative method to fabricate highly conductive poly(3,4-ethylenedioxythiophene) (PEDOT) films by solution means. The process involves sequential deposition oxidants...
Millimeter wave (mmWave) sensing promises to enable contactless and high-precision "in-air" gesture-based human–computer interaction (HCI). While previous works have demonstrated its feasibility, they require tedious gesture collecting for person-independent recognition operate in an off-line mode without considering practical issues, such as segmenting latency. In this work, we propose <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...
In this study, an electrochemical advanced oxidation process (EAOP) was employed to effectively degrade complexes of nickel and ethylenediaminetetraacetic acid (EDTA) present in electroless plating wastewaters. Our results show that Ni-EDTA can be degraded by EAOP with degradation the occurring at/near anode surface via interaction hydroxyl radicals generated on water splitting. further rate is not a function any particular chemical reaction but, rather, controlled transport surface. The...
Real-time object detection takes an essential part in the decision-making process of numerous real-world applications, including collision avoidance and path planning autonomous driving systems. This paper presents a novel real-time streaming perception method named CorrDiff, designed to tackle challenge delays The main contribution CorrDiff lies its adaptive delay-aware detector, which is able utilize runtime-estimated temporal cues predict objects' locations for multiple future frames,...
The conversion of cellulosic biomass into fermentable sugars represents a pivotal stage in the environmentally friendly and sustainable production clean fuels chemicals. In this paper, new strategy to enhance enzyme performance was proposed. This can achieve pH-sensitive recovery cellulase while improving catalytic activity stability enzyme. achieved by means chemical modification cysteine residue (−SH) carbohydrate-binding domain (CBD) with PEG-based modifier (Mal-PEG-FA). It shown that...
Real-time object detection is critical for the decision-making process many real-world applications, such as collision avoidance and path planning in autonomous driving. This work presents an innovative real-time streaming perception method, Transtreaming, which addresses challenge of with dynamic computational delays. The core innovation Transtreaming lies its adaptive delay-aware transformer, can concurrently predict multiple future frames select output that best matches present time,...
Deep-learning-based technologies such as deepfakes ones have been attracting widespread attention in both society and academia, particularly used to synthesize forged face images. These automatic professional-skill-free manipulation can be replace the an original image or video with any target object while maintaining expression demeanor. Since human faces are closely related identity characteristics, maliciously disseminated manipulated videos could trigger a crisis of public trust media...
Recently, great progress has been achieved in diabetes management through minimally invasive continuous glucose monitoring, which involves piercing the skin to identify changes levels interstitial fluid. Nevertheless, development of accurate fully noninvasive (NI) monitors remains a topic interest. This work examines processing data collected from multisensor system, combines millimeter-wave (mm-wave), near-infrared (NIR), and other auxiliary sensors' technology, coupled with random forest...
Abstract In recent years, human‐machine interface technology has entered a period of rapid development in the global scope. It gradually expanded from initial field medical rehabilitation to engineering bionics, virtual reality, space technology, deep‐sea assignments, atomic energy remote education, and other areas. Herein, an innovative, self‐powered delta‐parallel (DT‐HMI) for 3D sensing control is proposed. By using three pairs triboelectric nanogenerator (TENG) gears based on both...
Thermal deformation leads to controllable and effective grain refinement microstructure optimization in medium Mn steel. To study the appropriate hot parameters, dynamic recrystallization (DRX) behavior size evolution of steel (0.15C‐7Mn) are investigated by thermal‐compression tests. Two types DRX flow behaviors observed on curve, that is, single peak cyclic behaviors. Based linear regression characteristic points, recovery (DRV) model established. The predicted stress using established...
Ethylenediaminetetraacetic acid (EDTA) is widely employed as a chelating agent in the electroless nickel plating industry to form stable metal–organic complexes (e.g., Ni-EDTA). These cannot be removed from wastewaters by traditional treatments cost-effective way. While electrochemical advanced oxidation processes (EAOPs) have been utilized for efficient degradation of Ni-EDTA at anode, challenges remain simultaneous and effective recovery cathode. In this study, we investigate efficacy five...
Component overclocking is an effective approach to speed up the components of a system realize higher program performance; it includes processor or memory overclocking. However, will unavoidably result in increase power consumption. Our goal optimally improve performance scientific computing applications without increasing total consumption for processor-memory system. We built energy efficiency model multicore-based systems, which coordinates and memory. exploits boost opportunities by...
Fault tolerance is one of the most desirable properties in optical networks. Meanwhile, Software Defined Optical Network (SDON) an innovative network paradigm that separates control plane from underlying data forwarding plane. Therefore, this paper, we focus on restoration mechanism for SDONs, and out-of-band achieved communication between controller elements. Finally, demonstrate implementation proposed resilience solutions mainly including failure detection scheme, dynamic routing...
With shrinking feature sizes and error budgets in OPC models, effective pattern coverage accurate measurement become more challenging. The goal of selection is to maximize the efficiency gauges used model calibration. By optimizing sample plan for calibration, we can reduce metrology requirement modeling turn-around time, without sacrificing accuracy stability. Tachyon pattern-selection-tool, seek parameterize patterns, by assessing dominant characteristics surroundings point interest. This...
Precise and timely forecasting of blood glucose levels is essential for effective diabetes management. While extensive research has been conducted on Type 1 mellitus, 2 mellitus (T2DM) presents unique challenges due to its heterogeneity, underscoring the need specialized systems. This study introduces a novel system, applied dataset 100 patients from ShanghaiT2DM study. Our uniquely integrates knowledge-driven data-driven approaches, leveraging expert knowledge validate interpret...