Lang Wang

ORCID: 0000-0002-2257-8810
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Research Areas
  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Energy, Environment, Economic Growth
  • Turbomachinery Performance and Optimization
  • Nuclear Engineering Thermal-Hydraulics
  • Digital Imaging for Blood Diseases
  • Advanced Data Compression Techniques
  • Fluid Dynamics and Turbulent Flows
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Cervical Cancer and HPV Research
  • Nuclear reactor physics and engineering
  • Optical Wireless Communication Technologies
  • Image and Signal Denoising Methods
  • Heat Transfer Mechanisms
  • Advanced Photonic Communication Systems
  • Domain Adaptation and Few-Shot Learning
  • Aerodynamics and Fluid Dynamics Research
  • Fiscal Policy and Economic Growth
  • Advanced Image Fusion Techniques
  • Data Stream Mining Techniques
  • Risk and Safety Analysis
  • Access Control and Trust
  • Fault Detection and Control Systems
  • Cryptography and Data Security

Dongbei University of Finance and Economics
2022-2024

Sichuan University of Science and Engineering
2024

North Minzu University
2023

Zhongnan University of Economics and Law
2022-2023

Shanghai Jiao Tong University
2015-2022

Xianyang Normal University
2009-2022

Lanzhou University of Technology
2022

Wuhan University
2022

Harbin University of Commerce
2022

Shenyang Aerospace University
2021

Abstract The improvement of enterprise ESG performance is one the key driving forces to achieve goal economic and social green development. There a gap between knowledge practice in Chinese enterprises, digital transformation (DT) provides new ideas for research purpose this paper explore impact mechanism DT on specific path drive ESG. It reference listed enterprises rely empower their sustainable development capability. This takes panel data A-share from 2011 2021 as sample measures core...

10.1038/s41598-023-48636-x article EN cc-by Scientific Reports 2024-01-08

Previous studies on deep learning (DL) applications in pathology have focused pathologist-versus-algorithm comparisons. However, DL will not replace the breadth and contextual knowledge of pathologists; rather, only through their combination may benefits be achieved. A fully crossed multireader multicase study was conducted to evaluate assistance with pathologists' diagnosis gastric cancer. total 110 whole-slide images (WSI) (50 malignant 60 benign) were interpreted by 16 board-certified...

10.1038/s41379-022-01073-z article EN cc-by Modern Pathology 2022-04-08

Although the literature demonstrates that rural industrial integration can enhance farmers' income, foster development, its impact on agricultural total factor productivity (ATFP), a critical aspect of sustainable food systems remains unclear. Using provincial-level data from 2008 to 2018, this paper constructs composite index and examines effect, heterogeneity, spatial spillover ATFP growth in China. The findings indicate levels industry experienced gradual increase 2018. Rural promotes...

10.3389/fsufs.2023.1191024 article EN cc-by Frontiers in Sustainable Food Systems 2023-05-18

The key techniques in indoor positioning based on visible light communication and the state of art this research were surveyed. First, significance from two aspects limitations current technology advantages was discussed; And then, main four summarized triangulation RSS method principle image introduced detail; Next, performance characteristics various typical algorithms compared analyzed; In end, several suggestions future given.

10.1109/cc.2015.7224709 article EN China Communications 2015-08-01

Abstract Sustainable development of agriculture is the basis for achieving social sustainable development. As basic industry national economy, green has become an important support building environment-friendly society. Agricultural fiscal expenditure a direct channel government to and promote agricultural transformation. It analyze impact (AFE) on total factor productivity (AGTFP) Therefore, this paper employs random effect model spatial Durbin empirically spillover AFE AGTFP by using panel...

10.1038/s41598-022-24225-2 article EN cc-by Scientific Reports 2022-12-03

Most of the previous image stitching methods only perform well on standard datasets. These assume that images are collected under ideal conditions such as sufficient light and low noise. However, these can't be applied to more complex practical scenarios. This paper proposes a multi-scenes method for autonomous driving, which uses autoencoder networks extract feature points. The point extraction network includes dimensionality-reduced path precisely located symmetrical decoding path....

10.1109/itnec48623.2020.9084886 article EN 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC) 2020-05-05

The development of digital finance has significantly changed farmer consumption behavior. This study used data from the China Household Finance Survey 2015, 2017, and 2019 to examine whether can eliminate inequality among farmers in China. In doing so, it provides empirical evidence for strategies balancing social ensuring sustainable economic development. had three main findings. First, alleviate farmers. Compared basic consumption, is more effective at alleviating developmental inequality....

10.3390/su142013575 article EN Sustainability 2022-10-20

The accurate pathological diagnosis of endometrial cancer (EC) improves the curative effect and reduces mortality rate. Deep learning has demonstrated expert-level performance in a variety organ systems using whole-slide images (WSIs). It is urgent to build deep system for detection WSIs. model was trained validated dataset 601 WSIs from PUPH. tested on three independent datasets containing total 1,190 For retrospective test, we evaluated 581 In prospective study, 317 consecutive PUPH were...

10.3389/fonc.2022.1040238 article EN cc-by Frontiers in Oncology 2022-11-02

Objectives The application of artificial intelligence (AI) to the field pathology has facilitated development digital pathology, hence, making AI-assisted diagnosis possible. Due variety lung cancers and subjectivity manual evaluation, invasive non-mucinous adenocarcinoma (ADC) is difficult diagnose. We aim offer a deep learning solution that automatically classifies ADC histological subtypes. Design For this investigation, 523 whole-slide images (WSIs) were obtained. divided 376 WSIs at...

10.1136/bmjopen-2022-069181 article EN cc-by-nc BMJ Open 2023-07-01

This study introduces an improved multiple model adaptive control (MMAC) algorithm for a class of nonlinear discrete-time systems. The controller consists linear direct controller, neural network-based and switching mechanism. assumption the term is relaxed by incorporating parameter estimator with augmented error. direction system not required to be known employing discrete Nussbaum gain future output predictions. stability closed-loop systems applying proposed MMAC method proved transient...

10.1080/00207179.2018.1426885 article EN International Journal of Control 2018-02-13

Film cooling technique is widely used in a modern gas turbine. Many applications hot sections require multiple film rows to get better cooled. In most situation, the additive effect computed using Sellers superposition method, but it not accurate when hole are close each other. this paper, row spacing between two of was investigated by numerical which validated PSP results. The validation experiments performed on flat test bench and freestream maintained at 25m/s. inlet boundary conditions...

10.1115/gt2018-76421 article EN 2018-06-11

Abstract Gas field C is an unconventional tight gas reservoir located in central China. As the wells mature, production rates start to decline because of decreasing bottomhole pressure that prompts a liquid loading issue. The loss up 114 MMscf/yr resulting from loading. To mitigate this issue and hence optimize production, innovative intermittent solution has been created. With combination implementation cutting-edge artificial intelligence (AI) methods Industrial Internet Things (IIOT)...

10.4043/35024-ms article EN Offshore Technology Conference Asia 2024-02-22

Histopathology image analysis plays a crucial role in cancer diagnosis. However, training clinically applicable segmentation algorithm requires pathologists to engage labor‐intensive labeling. In contrast, weakly supervised learning methods, which only require coarse‐grained labels at the level, can significantly reduce labeling efforts. Unfortunately, while these methods perform reasonably well slide‐level prediction, their ability locate cancerous regions, is essential for many clinical...

10.1002/aisy.202300885 article EN cc-by Advanced Intelligent Systems 2024-05-23

With the rapid development of Internet technology, people can learn all kinds travel information anytime and anywhere. However, serious overload causes travelers to be unable make accurate reasonable routes that meet tourists’ tastes for a while, thus reducing quality travel. The recommendation system as mainstream solution explosion two means has received attention majority scholars industry. Based on research theory tourist route recommendation, this paper analyzes characteristics...

10.1142/s0218126623501025 article EN Journal of Circuits Systems and Computers 2022-09-25

In precision agriculture technology system, cropland data acquisition acts as the foundation well weakness of our countrypsilas research on this field. dissertation, according to present actual demands, an embedded and processing system is designed. The supposed achieve many tasks such agricultural sensors acquisition, GPS information navigation. During process design, factors performance, cost, expansibility are all taken into account. hardware based a 32-bit microprocessor with high...

10.1109/ifita.2009.16 article EN International Forum on Information Technology and Applications 2009-05-01

As affordable equipment, electronic portal imaging devices (EPIDs) are wildly used in radiation therapy departments to verify patients' positions for accurate radiotherapy. However, these tend produce visually ambiguous and low-contrast planar digital radiographs under megavoltage x ray (MV-DRs), which poses a tremendous challenge clinicians perform multimodal registration between the MV-DRs kilovoltage reconstructed (KV-DRRs) developed from planning computed tomography. Furthermore,...

10.1002/mp.13770 article EN Medical Physics 2019-08-17
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