Identification of Low‐Value Defects in Infrared Images of Porcelain Insulators Based on STCE‐YOLO Algorithm by Shaotong Pei, Weiqi Wang, Chenlong Hu, Keyu Li, Haichao Sun, Mianxiao Wu, Bo Lan

“…However, traditional detection methods have many shortcomings in the face of a complex environment and small target recognition. To solve the above problems, this paper optimizes the small target and complex environment problems in the low‐value defect recognition of insulator infrared images, and proposes the STCE‐YOLO algorithm: based on YOLOv8, the deformable large kernel attention is used to improve the detection ability of small targets; then the cross‐modal contextual feature module is applied to Integrate the features of different scales to reduce the computation of the model. …”
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Cold atmospheric plasma control metabolic syndromes via targeting fat mass and obesity-associated protein by Xiaofeng Dai, Shuo Feng, Tian Li

“…Both obesity and metabolic disorders are global medical problems. Driven by prolonged inflammation, obesity increases the risk of developing metabolic syndromes such as fatty liver, diabetes, cardiovascular diseases and cancers. …”
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PRAWO JURYSPRUDENCYJNE JAKO PRAWNICZY DYSKURS ARGUMENTACYJNY (ZARYS PROBLEMATYKI) by Paulina Święcicka

“…This activity, aside from cavere and agere, consisted in respondere, i.e. to answer to questions concerning legal problems, and, in that way of explaining the law or – in other words – by means of interpretation – to create new rules, forming in time a great legal corpus. …”
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Quality of life assessment in patients with multiple sclerosis by Kisić-Tepavčević Darija, Pekmezović Tatjana, Drulović Jelena

“…The main physiopatological feature of MS is demyelination. Multiple sclerosis is one of three most common causes of severe disability in youngest people. …”
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Lightweight Sheep Face Recognition Model Combining Grouped Convolution and Parameter Fusion by Gaochao Liu, Lijun Kang, Yongqiang Dai

“…When these models are deployed on mobile or embedded devices, problems such as reduced model recognition accuracy and increased recognition time arise. …”
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MDE-Net: Multi-Layer Depth Extraction Network With Attention Mechanism for Medical Image Segmentation by Xiaokang Ding, Ling Dong, Yingyu Ji, Ke'Er Qian

“…However, it still faces great challenges due to the inherent complexity, diversity, noise and occlusion of medical image data. To solve these problems, based on the U-Net framework, we propose a medical image segmentation algorithm named MDE-Net, which combines multi-layer deep feature extraction module and attention mechanism. …”
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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

“…CGDINet introduces the Group Consensus Aggregation Module (GCAM) embedded with the Coordinate Attention (CA) mechanism, named CAGM (Coordinate Attention-Group Consensus Aggregation Module), to enhance global feature capture capabilities and improve the processing of directional features. …”
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Joint Optical Performance Monitoring and Modulation Format/Bit-Rate Identification by CNN-Based Multi-Task Learning by Xiaojie Fan, Yulai Xie, Fang Ren, Yiying Zhang, Xiaoshan Huang, Wei Chen, Tianwen Zhangsun, Jianping Wang

“…Instead of treating the monitoring and identification tasks as separate problems, a novel MTL technique is used to joint optimization of them utilizing the ability of feature extraction and feature sharing. …”
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Unmanned aerial vehicle based multi-person detection via deep neural network models by Mohammed Alshehri, Laiba Zahoor, Yahya AlQahtani, Abdulmonem Alshahrani, Dina Abdulaziz AlHammadi, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…The proposed model improves identification capacities and system robustness by addressing motion dynamic problems and intricate environmental constraints, encouraging advancements in UAV-based neural network systems.ResultsWe proposed a deep learning-based framework with feature extraction approaches that may effectively increase the accuracy and robustness of multi-person action recognition in the challenging scenarios. …”
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A lightweight large receptive field network LrfSR for image super-resolution by Wanqin Wang, Shengbing Che, Wenxin Liu, Yangzhuo Tuo, Yafei Du, Zixuan Zhang

“…The module achieves large receptive field by dilated convolution, and the enlarged receptive field facilitates the network to capture more pixel-to-pixel relationships and fuse multi-scale information in the feature distillation stage. This design effectively extracts the high-frequency features of the image, which can be demonstrated by the feature map. …”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…Early and accurate diagnosis is essential for detecting medical problems and then prescribing the most effective treatment strategies, especially in life-threatening diseases such as leukemia. …”
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Dehazing algorithm for coal mining face dust and fog images based on a semi-supervised network by Meng ZHAO, Yuzhong WEI, Zheng LI, Junming ZHANG, Junda CHEN, Xiaofeng LIU

“…Meanwhile, deep learning algorithms face the issue of lacking paired images of underground dust-mist and clear images. To address these problems, a dehazing algorithm based on a semi-supervised learning network is proposed. …”
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A wheat seedling counting method based on two-stage convolutional neural network by Menghan Li, Lijie Zhang, Chunshan Wang, Chunjiang Zhao, Libo Li, Dongxiao Li, Yaxuan Xu

“…In the first stage, the SCNet model was applied for wheat seedling segmentation, the ResNet50 model was chosen as the backbone network, and the Convolutional Block Attention Module (CBAM) was introduced for feature enhancement. Then, the Swin Transformer Block self-attention mechanism was used to fuse the enhanced features with features in the basic module. …”
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Downhole Pressure Pulse Signal Recognition Based on SSA-CNN-LSTM by JIANG Panqin, LIU Xingbin, JIANG Zhicheng, LI Shanwen, HE Zhuang

“…This model extracts the local spatial features of the pressure pulses such as steep rising edges and oscillating waveforms through the convolutional neural network (CNN) module, analyzes the long-term dependencies of periodic pump-valve operations in combination with the long short-term memory (LSTM) layer, and uses the SSA algorithm to adaptively optimize three hyperparameters, namely the learning rate, regularization coefficient, and the number of hidden layer nodes, so as to enhance the signal feature decoupling ability in the presence of noise. …”
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Automated Essay Scoring Menggunakan Semantic Textual Similarity Berbasis Transformer Untuk Penilaian Ujian Esai by Kharisma Ayu Pradani, Lya Hulliyyatus Suadaa

“…As a baseline, the Term Frequency – Inverse Document Frequency (TF-IDF) feature extraction technique is used and calculating feature similarity using cosine similarity and linear regression. …”
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Redefining dental image processing: De-convolutional component with residual prolonged bypass for enhanced teeth segmentation by Prasun Kumar, Verma Anil, Mishra Rajiv

“…RES model includes prolonged bypass paths that carry feature information across multiple layers. This ensures that features extracted at earlier layers (low-level features) are available at much deeper layers. …”
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Tomato Leaf Disease Identification Framework FCMNet Based on Multimodal Fusion by Siming Deng, Jiale Zhu, Yang Hu, Mingfang He, Yonglin Xia

“…However, disease identification methods that rely on single-mode information often face the problems of insufficient accuracy and weak generalization ability. …”
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Artificial Intelligence (AI) in Neurofeedback Therapy Using Electroencephalography (EEG), Heart Rate Variability (HRV), and Galvanic Skin Response (GSR): A Review by Teddy Marcus Zakaria, Armein Zainal R. Langi, Muhamad Sophian Nazaruddin, Isa Anshori

“…Attention problems, such as attention deficit hyperactivity disorder (ADHD), have a significant impact on quality of life and academic achievement. …”
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Managerial Excellence as the Basis for the Success in the Digital Transformation of Public Services by E. V. Vasil’eva

“…The paper provides the formation of a strategy for managing public service personnel based on the principles of a management staff diversity and employees involvement to solve problems of increasing the level of personnel potential. …”
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Optimizing of Universal DEA Model with Multi-Level Integration under Neutrosophic Environment by Hamiden Abd El- Wahed Khalifa, Loay Alkhalifa, Sultan S. Alodhaibi, Basma E. El- Demerdash

“…This research introduces a comprehensive Universal Data Envelopment Analysis (DEA) model to handle real-world problems fraught with uncertainty of every operational facet. …”
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