Boe Technology Group Co., Ltd.

Hefei Xinsheng Optoelectronics Technology Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Beijing Boe Display Technology Co., Ltd.

Beijing Xiaomi Mobile Software Co., Ltd.

Siemens Aktiengesellschaft

Tsinghua University

Beijing Boe Optoelectronics Technology Co., Ltd.

Huawei Technologies Co., Limited

Hewlett Packard Enterprise Development LP

Lenovo (beijing) Limited

Intel Corporation

Cisco Technology, Inc.

Red Hat, Inc.

Chinese Academy of Sciences

Hao Liu

Ying Wang

Chuncheng Che

Jing Li

Dan Wang

Liang Li

Yongqian Li

Xuehuan Feng

Bin Ren

Peizhi Cai

Qiubin Gao

Libin Liu

Ming Liu

Guangliang Shang

Zheng Liu

Zhiwei Li

Jing Wang

Yang Liu

Wei Zhang

Ming Lei Zhang

Bin Yang

Xibin Shao

Dong Li

Cheng Fang Wang

Shiming Shi

Yu Zhu

Tao Liu

Li Tian

Hao Xu

Lei Zhang

Li Wang

Yang Wang

Kai Liu

Xin Zhang

Xi Chen

Hailin Xue

Bo Liu

Jie Zhang

Haoliang Zheng

Di Zhang

Hui Zhao

Wenmei Gao

Shijun Wang

Xing Yao

Chao Wang

Yong Yu

Tianshu Bi

Bowen Liu

Xuewu Xie

Yu Ai

Jie Wu

Hui Xiong

Huijuan Zhang

Tienlun Ting

Kaixuan Wang

Haocheng Jia

Xue Cao

Shaoli Kang

Qian Jack Liu

Hongming Zhan

Rui Cai

Cuiwei Tang

Bo Feng

Feifei Wang

Chi Zhang

Yang Song

Jinchun Hu

Kaiming Yang

Yang Xu

Wensheng Yin

Xinyan Xiao

Jie Lin

Dengfeng Xu

Yi Shan Jiang

Feng Liu

Xiaoxiao Chen

Yuan Yuan Li

Yi Liu

Hongwei Tian

Wenjun Xiao

Chunlei Wang

Liwen Dong

Kai Zheng

Ting Li

Zhifu Li

Jianchao Zhu

Wei Shi

Chuan Chen

Zhe Zhang

Mei Li

Huihui Li

Hejin Wang

Yueping Zuo

Wenkai Mu

Yong Jiang

Rong Cheng

Yanqing Chen

Hao Tian

Hao Li

This application relates to the technical field of image recognition, and provides a method for evaluating a diffusion weighted imaging (DWI)-fluid attenuated inversion recovery (FLAIR) mismatch, an apparatus, a medium, and a product. The method includes: obtaining a DWI image and a FLAIR image of a target object; applying a first image segmentation model to segment the DWI image to obtain a first image segmentation result; applying a second image segmentation model to segment the FLAIR image to obtain a second image segmentation result; registering the second image segmentation result onto the first image segmentation result to obtain a registered second image segmentation result; and applying a Dice metric to evaluate a degree of mismatch between the first image segmentation result and the registered second image segmentation result. This application can improve efficiency of determining whether DWI and FLAIR are matched.

Method for evaluating DWI-flair mismatch, apparatus, medium, and product

A display panel includes: a substrate; a first semiconductor layer including a first active layer pattern; a first gate conductive layer including a first capacitor electrode plate; a second gate conductive layer including a second capacitor electrode plate; a first source-drain conductive layer including a third capacitor electrode plate; and a second semiconductor layer including a second active layer pattern. Each of an orthographic projection of the first capacitor electrode plate on the substrate and an orthographic projection of the third capacitor electrode plate on the substrate at least partially overlaps with an orthographic projection of the second capacitor electrode plate on the substrate. The first capacitor electrode plate is electrically connected to the third capacitor electrode plate, and the first capacitor electrode plate, the second capacitor electrode plate and the third capacitor electrode plate constitute a storage capacitor.

Display panel and display device

A method for controlling a vehicle is provided. The vehicle includes an image capturing device. The method includes: controlling the image capturing device to collect an image of a scene where the vehicle is located; acquiring projection information of a projection pattern in the image; determining image-altering information corresponding to the projection pattern according to the projection information; and controlling movement of the vehicle according to the image-altering information.

Method for controlling vehicle, vehicle and electronic device

Embodiments of this application provide a speech recognition method. The speech recognition method includes: obtaining a facial depth image and a to-be-recognized voice of a user, where the facial depth image is an image collected by using a depth camera; recognizing a mouth shape feature from the facial depth image, and recognizing a voice feature from a to-be-recognized audio; and fusing the voice feature and the mouth shape feature into an audio-video feature, and recognizing, based on the audio-video feature, a voice uttered by the user.

Electronic device, speech recognition method therefor, and medium

A method of fabricating an array substrate is provided. The method includes providing a substrate including a gate pad configured to bond a gate driving integrated circuit, a data pad configured to bond a data driving integrated circuit, and a plurality of peripheral layout gate (PLG) proto-lines connecting the gate pad and the data pad; forming a PLG testing pad on the substrate; forming a shorting bar connecting the PLG testing pad to first terminals of the plurality of PLG proto-lines; forming a plurality of testing pins respectively connected to second terminals of the plurality of PLG proto-lines, wherein the plurality of testing pins are formed in a first dummy region of the substrate, the first dummy region is adjacent to an array substrate region of the substrate; and connecting the plurality of testing pins to a probe unit to test connectivity of the plurality of PLG proto-lines.

Method of fabricating array substrate with testing pins

A digital twin-based intelligent slope monitoring method, system, and storage medium are provided. The method includes obtaining point cloud data of a surface of a slope, creating a digital twin model; dividing the digital twin model to generate a plurality of first grids, calculating a displacement change value of each first grid during a target duration; defining the first grid with a displacement change value greater than a first threshold as a first region, dividing the target duration into a plurality of first durations with different lengths; setting a plurality of rainfall patterns, determining an optimal pattern for each first duration, calculating representative rainfall, constructing a prediction model, predicting representative rainfall for a future duration based on the optimal pattern and the representative rainfall of the first duration; generating a safety factor of the first region during the future duration based on the representative rainfall and a pore water pressure.

Digital twin-based intelligent slope monitoring methods, systems, and storage media

Provided is a display substrate, including: a substrate; a plurality of pixels disposed on a side of the substrate, each of the pixels including a pixel circuit and a light-emitting element; and at least one second power line and a plurality of repair lines that are disposed on a side of the substrate. The pixel circuit is configured to transmit a drive signal to the first electrode of the light-emitting element, and the light-emitting element is configured to emit light based on the drive signal and a first power signal supplied by the first power line. The second power line is coupled to the repair line. The second power line is configured to transmit a second power signal to the first electrode of the coupled light-emitting element by the repair line. A potential of the second power signal is greater than a potential of the first power signal.

Display substrate, method for repairing same, method for preparing same, and display device

Provided are a training method and device for a heterogeneous generative adversarial network model, an equipment, a program and a storage medium. In the training method, measurement data of a heterogeneous station is acquired, the measurement data of the heterogeneous station is set as a training sample, and joint training is performed on the heterogeneous generative adversarial network model according to a total objective function. A generator is configured to predict environment data at a future occasion according to environment data of the heterogeneous station at a historical occasion so as to output predicted data. A discriminator is configured to be input the predicted data output by the generator and corresponding measurement data, and discriminate a similarity between the measurement data and the predicted data; a total objective function includes a first objective function of the generator and a second objective function of the discriminator.

Training method and device for generative adversarial network model, equipment, program and storage medium

Implementations of this specification provide methods and apparatuses for replaying logs. One method includes: classifying a plurality of logs to be replayed into log queues, sending the log queues to a global replay queue, allocating one or more replay threads to the log queues based on rankings of the log queues in the global replay queue, wherein the one or more replay threads are configured to replay one or more current log queues of the log queues, and in response to identifying an error of a current log queue of the one or more current log queues in a replay process, allocating a replay thread of the one or more replay threads allocated to the current log queue to a log queue that immediately follows the current log queue in the global replay queue.

Log replay methods and apparatuses, data recovery methods and apparatuses, and electronic devices

A touch display panel has a display area and a fan-out area located at a side of the display area. The display area includes a first display region and a second display region located around the first display region. The touch display panel includes a display substrate and a touch function layer. The display substrate has a display side, and the touch function layer is located on the display side of the display substrate. The touch function layer includes a plurality of touch electrodes and a plurality of touch leads. The plurality of touch electrodes are located in the first display region, and the plurality of touch leads are electrically connected to the plurality of touch electrodes and extend to the fan-out area through the second display region.

Touch display panel and touch display apparatus

A method for automatically locking frequency of an optical frequency comb is performed through locking the microwave repetition frequency signal and the microwave carrier-envelop offset frequency signal of the optical frequency comb. The microwave repetition frequency signal is subjected to filtering, frequency division, and phase discrimination with a first reference signal to obtain a first error signal. A first output frequency of the frequency synthesizer is adjusted based on a direction of the first error signal and a first voltage signal. The microwave offset frequency signal is subjected to filtering, frequency division, and phase discrimination with a second reference signal to obtain a second error signal. A second output frequency of the frequency synthesizer is adjusted based on a direction of the second error signal and a second voltage signal.

Method and device for automatically locking repetition frequency and carrier-envelop offset frequency of optical frequency comb

A method and system for extracting a multi-dimensional disconnection network region of symptom mapping: registering a lesion image to a brain standard space; obtaining diffusion magnetic resonance images and resting-state functional magnetic resonance images of healthy control groups; constructing a structural disconnection weighting network corresponding to lesions using a fiber tracking method according to the lesion image in the brain standard space and the diffusion magnetic resonance images; constructing a functional significant disconnection network corresponding to the lesions using a cross-correlation verification method according to the lesion image in the brain standard space and the resting-state functional magnetic resonance images; and determining the multi-dimensional disconnection network region of the lesions of symptom mapping according to the structural disconnection weighting network and the functional significant disconnection network, where the multi-dimensional disconnection network region of the lesions is configured to locate network mapping of a brain lesion in the brain.

Method and system for extracting multi-dimensional disconnection network region of symptom mapping

A plunger pump includes a pump head assembly, which includes: a pump head body, a chamber in the pump head body; a liquid suction valve assembly, a liquid discharge valve assembly, and a separation sleeve for separating the liquid suction valve assembly from the liquid discharge valve assembly that are located in the chamber. The chamber includes: a liquid suction valve base mounting portion for mounting the liquid suction valve assembly, a separation sleeve mounting portion for mounting the separation sleeve, a liquid discharge valve base mounting portion for mounting the liquid discharge valve assembly, and a liquid suction chamber on a lower side of the liquid suction valve base mounting portion and in communication with an emulsion supply device by a pipeline.

Plunger pump and pump station

Provided are a training method for an air quality prediction model, a prediction method and apparatus, a device, a program, and a medium. The method includes the steps described below. A target monitoring range is divided into a plurality of regions; the air quality prediction model is pre-trained by adopting a pre-training sample and a pre-training objective function, where the pre-training sample includes measurement values; and the pre-trained air quality prediction model is trained by adopting a formal training sample and a formal training objective function, where the formal training sample includes the measurement values. The air quality prediction model is configured to predict air quality of the plurality of regions according to spatial information, historical information and environmental information.

Training method for air quality prediction model, prediction method and apparatus, device, program, and medium

A method and an apparatus for vehicle positioning. The method includes: acquiring a distance transformation image of a road marking object in a road image based on the road image of an environment where a vehicle is located at a current time point; acquiring a vector subgraph of the road marking object from a global vector map; and determining a target positioning posture of the vehicle based on the distance transformation image and the vector subgraph.

Method and apparatus for vehicle positioning

Growing community of inventors

Beijing, China

Hao Liu