RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8 by Wenjie Tang, Yangjun Deng, Xu Luo

“…This study introduces the C2f_RVB module, which incorporates RepViTBlock technology. …”
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Wearable sensor-based fall detection for elderly care using ensemble machine learning techniques by Ch Gangadhar, P Pavithra Roy, R. Dinesh Kumar, Janjhyam Venkata Naga Ramesh, S. Ravikanth, N. Akhila

“…Older people face serious issues with unintentional collisions that result in healthcare admissions and fatalities. …”
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MDFN: Enhancing Power Grid Image Quality Assessment via Multi-Dimension Distortion Feature by Zhenyu Chen, Jianguang Du, Jiwei Li, Hongwei Lv

“…Thus, we propose a frequency selection module (FSM) which extracts high-frequency and low-frequency features and updates these features to achieve global spatial information fusion. …”
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Range–Null Space Decomposition With Frequency-Oriented Mamba for Spectral Superresolution by Meimei Weng, Jianjun Liu, Jinlong Yang, Zebin Wu, Liang Xiao

“…To enhance N-Space exploration, we construct a frequency-oriented N-Space learning module that leverages Mamba and self-attention to separately extract spatial and spectral information in the frequency domain. …”
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A PatchTST-GRU based heterogeneous seq2seq model with numerical weather prediction refinement for multi-step wind power forecasting by Shiwei Xu, Yongjun Wang, Xinglei Xu, Guang Shi, He Huang, Yingya Zheng

“…However, existing methods face challenges in multi-step forecasting, including error accumulation, insufficient utilization of numerical weather prediction (NWP), and inadequate modeling of localized meteorological characteristics. To address these issues, this paper proposes a heterogeneous sequence-to-sequence (seq2seq) model based on PatchTST-GRU, integrated with NWP refinement. …”
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AfaMamba: Adaptive Feature Aggregation With Visual State Space Model for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo, Chanjuan Wang

“…It employs a lightweight ResNet18 as the encoder, and during the decoding phase, it first utilizes a multiscale feature adaptive aggregation module to ensure that the output features from each stage of the encoder contain rich multiscale semantic information. …”
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Lightweight Insulator and Defect Detection Method Based on Improved YOLOv8 by Yanxing Liu, Xudong Li, Ruyu Qiao, Yu Chen, Xueliang Han, Agyemang Paul, Zhefu Wu

“…These include the high complexity of existing algorithms, limited availability of UAV images, and persistent issues with false positives and missed detections. …”
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The Lightweight Fracture Segmentation Algorithm for Logging Images Based on Fully 3D Attention Mechanism and Deformable Convolution by Qishun Yang, Liyan Zhang, Zihan Xi, Yu Qian, Ang Li

“…However, existing image segmentation algorithms still encounter issues related to accuracy, speed, and robustness, as well as a tendency to misdetect or overlook small fractures when applied to logging image fracture segmentation tasks. …”
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A Gaussian Process-Enhanced Non-Linear Function and Bayesian Convolution–Bayesian Long Term Short Memory Based Ultra-Wideband Range Error Mitigation Method for Line of Sight and No... by A. S. M. Sharifuzzaman Sagar, Samsil Arefin, Eesun Moon, Md Masud Pervez Prince, L. Minh Dang, Amir Haider, Hyung Seok Kim

“…A novel spatial–temporal attention module is proposed to improve the performance of the proposed model. …”
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A Novel Approach for BMI and Nutrition Monitoring of Dairy Farm Using IoT by Safoora Siddiqa, Anum Naseem, Nafeesa Yousaf, Syed Atir Raza

“…This device allows farmers to track the health, and behavior of their cattle remotely alerting any unusual activity or potential health issues early on. Farmers can analyze the data generated by the system to provide better feeding and management of their livestock, ensuring that adequate nutrition and care are received. …”
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An Automated Digital Microfluidic System Based on Inkjet Printing by Wansheng Hu, Ming Cao, Lingni Liao, Yuanhong Liao, Yuhan He, Mengxiao Ma, Simao Wang, Yimin Guan

“…Furthermore, the system is equipped with an automatic pipetting module, which facilitates the high-throughput preparation of cell spheroids. …”
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A Novel High-Precision Workpiece Self-Positioning Method for Improving the Convergence Ratio of Optical Components in Magnetorheological Finishing by Yiang Zhang, Pengxiang Wang, Chaoliang Guan, Meng Liu, Xiaoqiang Peng, Hao Hu

“…Further, based on these thresholds, a hybrid self-positioning method combining machine vision and a probing module is proposed. A composite data acquisition method using both a camera and probe is designed, and a stepwise global optimization model is constructed by integrating a synchronous iterative localization algorithm with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). …”
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An Enhanced Cycle Generative Adversarial Network Approach for Nighttime Pineapple Detection of Automated Harvesting Robots by Fengyun Wu, Rong Zhu, Fan Meng, Jiajun Qiu, Xiaopei Yang, Jinhui Li, Xiangjun Zou

“…The improved model features a novel generator structure with ResNeXtBlocks, an optimized upsampling module, and a hyperparameter optimization strategy. …”
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A Variational Multi-Scale Error Compensation Network for Single-Pixel Imaging by Jian Lin, Qiurong Yan, Quan Zou, Shida Sun, Zhen Wei, Hua Du

“…However, conventional reconstruction algorithms suffer from issues such as long processing time and low reconstruction accuracy during the sampling and reconstruction processes. …”
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Unveiling the Triad’s Struggles and Triumphs in MDL: Valuable Insights for Post-Pandemic Resiliency and Recovery Roadmap by Julius R. Garzon

“…Likewise, parents’ experiences extracted five themes namely disruption of work, difficulty in understanding the module, managing children’s discipline, learning environment, and managing time. …”
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Key Technologies for Intelligent Operation and Maintenance of Deep Drilling Top Drive Powered by Digital Twin by Wang Bo, Li Xianyi, Mi Kaifu, Liu Zeng, Tan Shuai, Li Xiang, Zhang Hang

“…The O & M framework mainly includes physical space of top drive， intelligent scene perception module， multi-level and multi-domain DT model， as well as risk assessment and predictive maintenance methods for model and data fusion. …”
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Evaluating soiling effects to optimize solar photovoltaic performance using machine learning algorithms by Muhammad Faizan Tahir, Anthony Tzes, Tarek H.M. El-Fouly, Mohamed Shawky El Moursi, Nauman Ali Larik

“…Fossil fuel environmental issues and escalating costs have prompted a global shift towards renewable energy sources like solar photovoltaic. …”
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MEFA-Net: Multilevel Feature Extraction and Fusion Attention Network for Infrared Small-Target Detection by Jingcui Ma, Nian Pan, Dengyu Yin, Di Wang, Jin Zhou

“…Furthermore, the encoder attention fusion module (EAF) is employed, where spatial and channel attention weights are generated using dual-path pooling to achieve the adaptive fusion of deep and shallow layer features. …”
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Application of YOLO11 Model with Spatial Pyramid Dilation Convolution (SPD-Conv) and Effective Squeeze-Excitation (EffectiveSE) Fusion in Rail Track Defect Detection by Weigang Zhu, Xingjiang Han, Kehua Zhang, Siyi Lin, Jian Jin

“…With the development of the railway industry and the progression of deep learning technology, object detection algorithms have been gradually applied to track defect detection. To address the issues of low detection efficiency and inadequate accuracy, we developed an improved orbital defect detection algorithm utilizing the YOLO11 model. …”
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Research on Fire Smoke Detection Algorithm Based on Improved YOLOv8 by Tianxin Zhang, Fuwei Wang, Weimin Wang, Qihao Zhao, Weijun Ning, Haodong Wu

“…Secondly, an efficient multi-scale attention mechanism, EMA (Efficient Multi-Scale Attention Module), based on cross-space learning is integrated into the FPN (Feature Pyramid Network) part of the model. …”
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