Regulatory mechanism analysis of signal transduction genes during rapeseed (Brassica napus L.) germination under aluminum stress using WGCNA combination with QTL by Chenyang Li, Ruili Wang, Jiana Li, Qingyuan Zhou, Cui Cui

“…As soil becomes more acidic, aluminum toxicity has emerged as a key issue impacting seed germination and crop productivity in such environments. …”
Get full text

Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion by Yucheng Pan, Jiasi Chen, Peiwen Wu, Hongsheng Zhong, Zihao Deng, Daozong Sun

“…This reduces the number of model parameters and enhances computational efficiency. The dual-stream module implements cascade and addition strategies to effectively merge shallow and deep features from both the original and polarization images. …”
Get full text

Cross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation by Pengnan Liu, Yanchen Wang, Yunlong Li, Deqiang Cheng, Feixiang Xu

“…Firstly, a novel pose-guided occlusion generation module is designed to enhance the model’s ability to extract discriminative features from non-occluded areas. …”
Get full text

OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts by Haoyu Wang, Lijun Yun, Chenggui Yang, Mingjie Wu, Yansong Wang, Zaiqing Chen

“…Walnut detection in mountainous and hilly regions often faces significant challenges due to obstructions, which adversely affect model performance. To address this issue, we collected a dataset comprising 2379 walnut images from these regions, with detailed annotations for both obstructed and non-obstructed walnuts. …”
Get full text

An AI based cross‐language aspect‐level sentiment analysis model using English corpus by Jing Chen, Li Pan

“…Existing methods face challenges in extracting semantic association information and deep emotional features when dealing with this complex data. To address these issues, an aspect‐level sentiment analysis model (called Multi‐XLNet‐RCNN) is proposed that integrates multi‐channel XLNet and RCNN. …”
Get full text

Energy Efficiency Improvement of Hydraulic Indirect Elevator by Łukasz Stawiński, Andrzej Kosucki, Justyna Skowrońska, Piotr Malenta

“…This article addresses the current issue of energy consumption in the hydraulic drive systems of working machines, with particular emphasis on elevators. …”
Get full text

DE-Net: A Dual-Encoder Network for Local and Long-Distance Context Information Extraction in Semantic Segmentation of Large-Scale Scene Point Clouds by Zhipeng He, Jing Liu, Shuai Yang

“…In addition, a prediction jitter module was introduced during training to address the issue of class imbalance and improve the network's prediction results. …”
Get full text

Neurovision: A deep learning driven web application for brain tumour detection using weight-aware decision approach by Thota Rishik Sai Santhosh, Sachi Nandan Mohanty, Nihar Ranjan Pradhan, Tauseef Khan, Morched Derbali

“…In the weight-aware decision module, the class-bucket of a probable output class is updated with the weights of deep models when their predictions match the class. …”
Get full text

Multi-Physical Field Coupling Analysis of Electro-Controlled Permanent Magnet Blank Holder Processes Considering Thermal Magnetic Losses by Zhanshan Wang, Linyuan Meng, Gaochao Yu, Xiaoyu Ji

“…Therefore, in practical applications, it is necessary to establish a real-time temperature monitoring system and develop a temperature-based magnetic force compensation module.…”
Get full text

ISEE: Industrial Internet of Things perception in solar cell detection based on edge computing by Meiya Dong, Jumin Zhao, Deng-ao Li, Biaokai Zhu, Sihai An, Zhaobin Liu

“…Then it uses the powerful neural network processing unit module of the edge computing unit, combined with the convolutional neural network algorithm transplanted to the edge, to detect the defects of solar panels in real time. …”
Get full text

GPPK4PCM: pest classification model integrating growth period prior knowledge by Jianhua Zheng, Junde Lu, Yusha Fu, Ruolin Zhao, Jinfang Liu, Zhaoxi Luo, Zhijie Luo

“…In addition to its inherent visual characteristics, pest images contain implicit growth period information. To address this issue, we propose a Pest Classification Model Integrating Growth Period Prior Knowledge. …”
Get full text

Wind Turbine Fault Diagnosis with Imbalanced SCADA Data Using Generative Adversarial Networks by Hong Wang, Taikun Li, Mingyang Xie, Wenfang Tian, Wei Han

“…This article presents an innovative deep learning-based fault diagnosis method to solve the SCADA data imbalance issue. First, a data generation module centered on generative adversarial networks is designed to create a balanced dataset. …”
Get full text

Le numérique au service de l'adaptation d'étudiants allophones à la micro-communauté d'une grande école française by Isabelle Salengros-Iguenane

“…This study deals with the strengths of creating a module using Internet to explore cultural issues. …”
Get full text

Motion Planning Methodologies for Automated Vehicles: A Critical Review by LI Bai, ZHANG Youmin, SHAO Zhijiang

“…Decision-making module in automated vehicle system is responsible for generating the driving behaviors of the automated vehicle, thus being a critical and direct reflection of the intelligence level of the whole system. …”
Get full text

Pretraining-improved Spatiotemporal graph network for the generalization performance enhancement of traffic forecasting by Xiangyue Zhang, Chao Li, Ling Ji, Yuyun Kang, Mingming Pan, Zhuo Liu, Qiang Qi

“…A key challenge is capturing the long-term spatiotemporal dependencies of traffic data while improving the model’s generalization ability. To address these issues, various sophisticated modules are embedded into different models. …”
Get full text

Bilateral enhancement network with signal-to-noise ratio fusion for lightweight generalizable low-light image enhancement by Junfeng Wang, Shenghui Huang, Zhanqiang Huo, Shan Zhao, Yingxu Qiao

“…To improve the network’s generalization ability, we propose a Luminance Normalization (LNM) module for preprocessing and a Dual-Exposure Processing (DEP) module for post-processing. …”
Get full text

Retinex-Net mine image enhancement algorithm based on adaptive illumination estimation by Feng TIAN, Tingting CHEN, Xiaopei LIU

“…In the reflection component processing, an attention module CBAM (Convolutional Block Attention Module) is introduced to enhance the details and contrast of the image, thereby improving clarity. …”
Get full text

A panting behavior-driven assessment framework for summer ventilation quality optimization in layer houses by Zixuan Zhou, Lihua Li, Hao Xue, Yuchen Jia, Yao Yu, Zongkui Xie, Yuhan Gu

“…The YOLOv10-BCE panting behavior detection model was developed by embedding the BiFormer module into the backbone network to enhance multi-dimensional feature extraction, compressing neck structure parameters using the C3Ghost module, and integrating Efficient Intersection over Union (EIOU) loss to improve detection accuracy and convergence speed. …”
Get full text

DAMI-YOLOv8l: A multi-scale detection framework for light-trapping insect pest monitoring by Xiao Chen, Xinting Yang, Huan Hu, Tianjun Li, Zijie Zhou, Wenyong Li

“…The DMC module improves multi-scale feature extraction to enable the effective capture and merging of features across different detection scales while reducing network parameters. …”
Get full text

TIMA-Net: A Lightweight Remote Sensing Image Change Detection Network Based on Temporal Interaction Enhancement and Multi-Scale Aggregation by Zhijun Zhou, Xuejie Zhang, Xiaoliang Luo, Lvchun Wang, Wei Yu, Shufang Xu, Longbao Wang

“…By introducing the timing interaction enhancement module and the progressive decoder based on multi-scale fusion, TIMA-Net improves the accuracy of change detection while ensuring efficient computing performance. …”
Get full text