LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips by Jie Zhang, Ning Chen, Mengyuan Li, Yifan Zhang, Xinyu Suo, Rong Li, Jian Liu

“…Within the LDDP-Net framework, the receptive field of the MobileNetv3 backbone is modified to mitigate information loss. …”
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Image small target detection in complex traffic scenes based on Yolov8 multiscale feature fusion by Xuguang Chai, Meizhi Zhao, Jing Li, Junwu Li

“…Initially, building upon the YOLOv8 detection framework, an attention mechanism module is integrated for novel adaptive feature assimilation and redistribution. …”
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Reconstruction of Optical Coherence Tomography Images from Wavelength Space Using Deep Learning by Maryam Viqar, Erdem Sahin, Elena Stoykova, Violeta Madjarova

“…We believe that this work lays the framework for further innovations in the realm of OCT image reconstruction.…”
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Assessment of the Energy Security of EU Countries in Light of the Expansion of Renewable Energy Sources by Aleksandra Kuzior, Yevhen Kovalenko, Inna Tiutiunyk, Larysa Hrytsenko

“…This research employs non-linear (piecewise linear) normalization and the multiplicative convolution method, analyzing data from 2000 to 2021. …”
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Complex Indoor Human Detection with You Only Look Once: An Improved Network Designed for Human Detection in Complex Indoor Scenes by Yufeng Xu, Yan Fu

“…The research results show that compared with the original YOLOv8s framework, the detection accuracy has been improved by 2.67%, and the required floating-point operations have been reduced. …”
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Hypergraph-Driven High-Order Knowledge Tracing with a Dual-Gated Dynamic Mechanism by Fanglan Ma, Changsheng Zhu, Peng Lei

“…To address these limitations, we propose the Hypergraph-Driven High-Order Knowledge Tracing with a Dual-Gated Dynamic Mechanism (HGKT), a novel framework that (1) captures correlations between exercises and concepts through a two-layer hypergraph convolution; (2) integrates hypergraph-driven exercise embedding and temporal features (answer time and interval time) to characterize learning behavioral dynamics; and (3) designs a learning layer and a forgetting layer, with the dual-gating mechanism dynamically balancing their impacts on the knowledge state. …”
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Development of a river dissolved oxygen prediction model integrating spatial effects and multiple deep learning algorithm by Yubo Zhao, Mo Chen

“…To address the nonlinear, complex, and periodic nature of DO time series, a novel prediction framework is proposed, in which Wavelet Convolution (WTConv), a technique traditionally used in image processing, is applied for the first time to DO forecasting. …”
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Fractional derivatives, dimensions, and geometric interpretation: An answer to your worries by Abdon Atangana

“…This study illustrates the possibility of using fractional derivatives framework to go beyond delivering physical understanding regarding time dependency of degradation processes.…”
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Harnessing hybrid perception on multi-scale features for hand-foot-mouth disease multi-region prediction based on Seq2Seq. by Bingbing Lei, Xuanjun Zhu, Tao Zhou, Yuxi Zhang

“…To address these limitations, a novel HFMD prediction model named Seq2Seq-HMF is proposed, which is based on the Sequence-to-Sequence(Seq2Seq) framework. This model leverages hybrid perception of multi-scale features. …”
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Hierarchical Semi-Supervised Representation Learning for Cyber Physical Social Intelligence by Na Song, Jing Yang, Xuemei Fu, Xiangli Yang, Ying Xie, Shiping Wang

“…To tackle the challenges in CPSI, we present a multi-level feature learning framework for semi-supervised classification tasks. …”
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Deep-Learning Methods for Defect Inspection of Plated Through Holes With Clustering-Based Auto-Labeling and GAN-Based Model Training by Chang-Yeh Hsieh, Ling-Shen Tseng, Yi-Han Chen, Chiung-Hui Tsai, Chih-Hung Wu

“…In our proposed system, the object detection technology of You Only Look Once (YOLO) allocates the position of PTHs; a semi-automatic clustering mechanism distinguishes normal and defective PTHs for collecting training data. A convolution neural network based on the ResNet framework is established for detecting PTH defects. …”
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A Wind Power Forecasting Method Based on Lightweight Representation Learning and Multivariate Feature Mixing by Chudong Shan, Shuai Liu, Shuangjian Peng, Zhihong Huang, Yuanjun Zuo, Wenjing Zhang, Jian Xiao

“…This paper proposes a two-stage forecasting framework based on lightweight representation learning and multivariate feature mixing. …”
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DiffFormer: A Differential Spatial-Spectral Transformer for Hyperspectral Image Classification by Muhammad Ahmad, Manuel Mazzara, Salvatore Distefano, Adil Mehmood Khan, Silvia Liberata Ullo

“…To mitigate these issues, this work proposes the differential spatial-spectral transformer (<italic>DiffFormer</italic>), a novel framework designed to enhance feature discrimination and improve classification accuracy. …”
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ACT-FRCNN: Progress Towards Transformer-Based Object Detection by Sukana Zulfqar, Zenab Elgamal, Muhammad Azam Zia, Abdul Razzaq, Sami Ullah, Hussain Dawood

“…Which integrates ACT with a Faster Region-Based Convolution Neural Network (FRCNN) for a detection task head. …”
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HRT-Net: A Cell-free Cooperative Sensing Method Based on Attention-weighted Hierarchical Network by Shengheng LIU, He YAN, Xingkang LI, Dazhuan XU, Dongming WANG, Yongming HUANG

“…This paper proposes an intelligent framework based on a cell-free network architecture, called HRT-Net. …”
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Adaptive Conditional Reasoning for Remote Sensing Visual Question Answering by Yiqun Gao, Zongwen Bai, Meili Zhou, Bolin Jia, Peiqi Gao, Rui Zhu

“…Therefore, we propose the Adaptive Conditional Reasoning (ACR) network, a novel framework that dynamically tailors reasoning pathways to question semantics through type-aware feature fusion. …”
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Research on the Real-Time Scoring of Chest Ring Target Based on Transfer Learning and Improved Lightweight Neural Network by Minghui Meng, Chuande Zhou

“…Then, grouped shuffle convolution (GSConv) is used to reconstruct the standard down sampling convolutions in the PANFPN structure, promoting feature information extraction and fusion at bullet hole edges, reducing model computational complexity, and maintaining detection accuracy. …”
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Detecting infrared UAVs on edge devices through lightweight instance segmentation. by YuZhi Chen, HaoYue Sun, Liang Tian, Ye Yang, ShenYang Wang, TianYou Wang

“…<h4>Method</h4>This paper presents YOLO11-AU-IR, a lightweight instance segmentation framework that addresses these challenges through three architectural innovations. …”
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Subsea Nodule Recognition and Deployment Detection Method Based on Improved YOLOv8s by Jixin Li, Junchao Li, Bin Su, Yuxin Cui

“…The enhanced model incorporates an adaptive image preprocessing module and an EMA attention mechanism into the YOLOv8s framework. Additionally, SK-Conv convolution modules replace certain Conv and C2f layers in the backbone network, while the Focal SIoU loss function replaces the original CIoU loss function. …”
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Design of an Improved Model for Smart Grid Pricing Using ST-GNN-PNet and MAD-RL-StackelNet by Jalit S. A., Warkad S. B., Rane P. R., Bonde S. V.

“…TBHLM provides an adaptive, secure, and consumer-centric framework for real-time pricing, enhancing efficiency, sustainability, and grid intelligence sets.…”
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