MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

“…Firstly, the global background and edge information are adaptively extracted via the MSA-SPPF module in order to obtain a more comprehensive feature representation. …”
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WDFS-DETR: A Transformer-based framework with multi-scale attention for small object detection in UAV Engineering Tasks by Jinjiang Liu, Yonghua Xie

“…First, BasicBlock-WTCM (Wavelet-based Transform Coordinate Module) improves small object perception by modeling spatial and channel semantics across scales. …”
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A Lightweight Forward–Backward Independent Temporal-Aware Causal Network for Speech Emotion Recognition by Sijia Fei, Qiang Feng, Fei Gao

“…Furthermore, the backward temporal-aware module uses dilated causal convolutions to learn backward information and weighted fusion of multi-level temporal features to enhance the perception of backward emotion changes. …”
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Cells Grouping Detection and Confusing Labels Correction on Cervical Pathology Images by Wenbo Pang, Yi Ma, Huiyan Jiang, Qiming Yu

“…Differences in assessment criteria among pathologists result in ambiguously labeled cells, which poses a significant challenge for deep learning networks. To address this issue, we perform a labels correction module with feature similarity by constructing feature centers for typical cells in each category. …”
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DPN-GAN: Inducing Periodic Activations in Generative Adversarial Networks for High-Fidelity Audio Synthesis by Zeeshan Ahmad, Shudi Bao, Meng Chen

“…In particular, our proposed model features a DPN module for multi-resolution generation utilizing deformable convolution operations, allowing for adaptive receptive fields that improve the quality and fidelity of the synthetic audio. …”
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PVD-GSTPS: design of an efficient parallel vehicle detection based green signal time prediction system by Nikhil Nigam, Dhirendra Pratap Singh, Jaytrilok Choudhary, Surendra Solanki

“…Additionally, a vehicle counting module assesses the number of vehicles in specified areas, and a size assignment process estimates Green Signal Time based on Spatial Occupancy calculations. …”
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Design of a novel shunt active harmonic compensator with AUV-PQ-SRF reference current extraction, OSV-MPC and SMC techniques by Kumar Reddy Cheepati, E. Parimalasundar, K. Suresh, Marco Rivera, M. Nageswara Rao, Aravind Pitchai

“…The accuracy, robustness, and response time issues with traditional methods are addressed by the suggested approach. …”
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YOLO-TARC: YOLOv10 with Token Attention and Residual Convolution for Small Void Detection in Root Canal X-Ray Images by Yin Pan, Zhenpeng Zhang, Xueyang Zhang, Zhi Zeng, Yibin Tian

“…Second, to tackle the issue of weak focusing capabilities on small targets, a Token Attention module is introduced before the third small object detection head. …”
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Modeling of Safe Braking Distance Considering Pedestrian Psychology and Vehicle Characteristics and the Design of an Active Safety Warning System for Pedestrian Crossings by Yanfeng Jia, Shanning Cui, Xiufeng Chen, Dayi Qu

“…Addressing the traffic safety issues caused by pedestrian–vehicle conflicts during street crossing, this study proposes optimization strategies from both theoretical and technical perspectives. …”
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Let Us Talk About Sugar by Anna Ponomareva

“…This text is used in my practical translation classes at UCL where I teach technical, scientific and medical translation modules to Master students who specialise in translation from English into Russian. …”
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A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification by Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao

“…An adaptive awareness fusion (AAF) module is embedded within the skip connections to enhance target saliency. …”
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SegRoadv2: a hybrid deformable self-attention and convolutional network for road extraction with connectivity structure by Zhengbo Yu, Zhe Chen, Keyan Xiao, Xiangqi Lei, Rui Tang, Qiaoran He, Zhongchang Sun, Huadong Guo

“…SegRoadv2 employs a transformer block with a deformable self-attention (DSA) module and a CNN structure with a new groupable deformable convolution (GroupDCN). …”
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Development of a Baby Cry Identification System Using a Raspberry Pi-Based Embedded System and Machine Learning by Mohcin Mekhfioui, Wiam Fadel, Fatima Ezzahra Hammouch, Oussama Laayati, Marouan Bouchouirbat, Nabil El Bazi, Amal Satif, Tarik Boujiha, Ahmed Chebak

“…The module analyzes audio techniques to capture, analyze, classify, and remotely monitor a baby’s cries. …”
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A Method for Automatic Feature Points Extraction of Pelvic Surface Based on PointMLP_RegNet by Wei Kou, Rui Zhou, Hongmiao Zhang, Jianwen Cheng, Chi Zhu, Shaolong Kuang, Lihai Zhang, Lining Sun

“…PointMLP_RegNet, a modified PointMLP, was introduced to address this issue. It retains the feature extraction module of PointMLP but replaces the classification layer with a regression layer to predict the coordinates of feature points instead of conducting regular classification. …”
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Oral Microbiome: A Review of Its Impact on Oral and Systemic Health by John J. Rajasekaran, Hari Krishnan Krishnamurthy, Jophi Bosco, Vasanth Jayaraman, Karthik Krishna, Tianhao Wang, Kang Bei

“…Furthermore, it explores the advantages of probiotics and other dental care ingredients in promoting oral health and addressing common oral issues, offering a comprehensive strategy for personalized oral care.…”
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Performance Analysis of Air Gap Membrane Distillation Process Enhanced with Air Injection for Water Desalination by Jonathan Ibarra-Bahena, Ulises Dehesa-Carrasco, Rogelio Servando Villalobos-Hernández, Sofía Garrido-Hoyos, Wilfrido Rivera

“…Water scarcity is a global issue, and desalination is an alternative to providing fresh water. …”
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Retrieval of Passive Seismic Virtual Source Data Under Non-Ideal Illumination Conditions Based on Enhanced U-Net by Wensha Huang, Pan Zhang, Binghui Zhao, Donghao Zhang, Liguo Han

“…By integrating a feature fusion module into U-Net, multi-scale sampling information is leveraged to improve the network’s ability to capture detailed PVS data features. …”
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EMCFormer: Equalized Multimodal Cues Fusion Transformer for Remote Sensing Visible-Infrared Object Detection Under Long-Tailed Distribution by Zian Wang, Xianghui Liao, Jin Yuan, Chen Lu, Zhiyong Li

“…However, visible-infrared remote sensing data often exhibits long-tail distribution characteristics, where some categories have sparse samples, resulting in insufficient training and poor detection performance for tail categories. To address this issue, this paper proposes an “Equalized Multi-modal Cues Fusion Transformer” (EMCFormer), incorporating an innovative “Multi-modal Heterogeneous Cues Aggregation” (MHCA) module and “Equalized-Adaptive Focal Loss” (EAFL). …”
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Residual channel attention based sample adaptation few-shot learning for hyperspectral image classification by Yuefeng Zhao, Jingqi Sun, Nannan Hu, Chengmin Zai, Yanwei Han

“…Furthermore, a new Random-based Feature Recalibration Module (RFRM) is proposed to reassign the feature weights via random matrix, which fully explore feature weight relationships to guide the sample adaptation process. …”
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MFHG-DDI: An Enhanced Hybrid Graph Method Leveraging Multiple Features for Predicting Drug–Drug Interactions by Xiang Li, Xiangmin Ji, Chengzhen Xu, Jie Hou, Xiaoyu Zhao, Guodong Peng

“…We employed an enhanced hybrid graph module that integrates a graph convolutional network, graph attention network, and global average pooling to learn latent features, ultimately applying a prediction function to predict DDIs. …”
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