Rough-and-Refine Model for Scene Graph Generation by Li Junliang, Lv Shirong, Li Wei

“…These features are then input alongside entity queries into the entity decoder for self-attention computation, resulting in preliminary entity representations. …”
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Sa-SNN: spiking attention neural network for image classification by Yongping Dan, Zhida Wang, Hengyi Li, Jintong Wei

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Mitigating Selection Bias in Local Optima: A Meta-Analysis of Niching Methods in Continuous Optimization by Junchen Wang, Changhe Li, Yiya Diao

“…As mainstream solvers for black-box optimization problems, evolutionary computation (EC) methods struggle with finding desired optima of lower attractiveness. …”
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Hierarchical Deep Learning Model Optimization Using Enhanced Evolutionary-based Approach for Fake News Detection by Deepti Nikumbh, Anuradha Thakare

“…However, these models are often complex, with numerous trainable parameters, making them resource-intensive. This work introduces the Deep Learning Model with Evolutionary Computing Approach (DLECA), a novel method for compressing and optimizing hierarchical deep learning models (HDLM). …”
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Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors by Ehsan Masoudian, Ali Mirzaei, Hossein Bagheri

“…Utilizing advanced remote sensing, geospatial information system (GIS) processing techniques such as cloud computing, and machine learning algorithms, this research analyzed the impact of climatic parameters, topographic features, and human-related factors on wildfire susceptibility assessment and prediction in Iran. …”
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Methodology of Using CAx and Digital Twin Methods in the Development of a Multifunctional Portal Centre in Its Pre-Production Phase by Petr Bernardin, Zdenek Hajicek, Petr Janda, Josef Kozak, Frantisek Sedlacek, Vaclava Lasova, Jiri Kubicek

“…The proposed methodology was used on a specific machine, namely, a multifunctional portal centre, where features of computer-aided engineering (modelling, topology optimisation, stiffness and stress analyses, modal analyses, and analytical calculations) were combined with tools using the digital twin. …”
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Value of Pulmonary Cavity Wall Thickness Characteristics and Accompanying CT Signs in the Differential Diagnosis of Thick-wall Cancerous Cavities and Inflammatory Cavities by Zi’ao WANG, Huijie JIANG, Sheng ZHAO, Jinping LI, Zhongqi SUN, Hao LI

“…Objective: To explore the value of various computed tomography (CT) features in the differential diagnosis of pulmonary thick-wall cancerous cavitation and inflammatory cavitation. …”
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Clinical findings of acute necrotizing esophagitis complicated by diabetic ketoacidosis by Yuichiro Iwamoto, Tomohiko Kimura, Takashi Itoh, Shigehito Mori, Taku Sasaki, Mana Ohnishi, Haruka Takenouchi, Hideyuki Iwamoto, Junpei Sanada, Yoshiro Fushimi, Yukino Katakura, Fuminori Tatsumi, Masashi Shimoda, Shuhei Nakanishi, Tomoatsu Mune, Kohei Kaku, Hideaki Kaneto

“…We compared the clinical parameters and computed tomography (CT) between the groups. …”
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A lightweight model for automatic pig counting in intensive piggeries using a green inspection robot and image segmentation method by Yizhi Luo, Chen Yang, Enli Lv, Aqing Yang, Fanming Meng, Haowen Luo

“…Specifically, the C2f module is replaced with the Ghost module to reduce the model’s computational complexity. Additionally, a spatial group-enhanced attention mechanism is introduced in the neck network to enhance the model's feature fusion ability in the presence of pig occlusion and overlap. …”
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Optimizing SVM Performance through Combinatorial Hyperparameter Tuning and Model Selection by Hassan Tariq, Mehwish Majeed, Mueed Ahmad

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Modeling of temperature fields of details during laser hardening using the method of polyargument systems by Viktor Prokopov, Nataliia Fialko, Juliiy Sherenkovsky, Vladimir Yurchuk, Nataliia Meranova, Olha Maletskaya, Oleksandra Timoshchenko, Mark Hanzha

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Accuracy of Detecting Degrees of Lameness in Individual Dairy Cattle Within a Herd Using Single and Multiple Changes in Behavior and Gait by Xi Kang, Junjie Liang, Qian Li, Gang Liu

“…Through a comparative analysis of single-parameter and multiple-parameter classification models, we quantitatively demonstrated that models using multiple characteristics significantly outperformed single-parameter models, achieving an accuracy of 84% and a Macro-F1 score of 0.81, while better accounting for individual variability. …”
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Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis by Fatemeh Divan, Teh Ying Wah, Kheng Seang Lim, Ali Seyed Shirkhorshidi

“…A grid search framework optimizes clustering parameters, and preprocessing techniques (Fourier Transform, Wavelet Transform, and Gaussian filtering) improve feature separability. …”
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Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

“…By gathering and organizing critical information within the network, an encapsulated Wrapper feature selection algorithm is utilized for the extraction of element features. …”
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Ripe-Detection: A Lightweight Method for Strawberry Ripeness Detection by Helong Yu, Cheng Qian, Zhenyang Chen, Jing Chen, Yuxin Zhao

“…To address these limitations, this study proposes Ripe-Detection, a novel lightweight object detection framework integrating three key innovations: a PEDblock detection head architecture with depth-adaptive feature learning capability, an ADown downsampling method for enhanced detail perception with reduced computational overhead, and BiFPN-based hierarchical feature fusion with learnable weighting mechanisms. …”
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Preoperative prediction value of 2.5D deep learning model based on contrast-enhanced CT for lymphovascular invasion of gastric cancer by Xiao Sun, Pei Wang, Rui Ding, Li Ma, Huairong Zhang, Li Zhu

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In Situ Capture of High-Temperature Precipitate Phases in Ti-48Al-2Cr-2Nb Alloy Using Convolutional Neural Networks by Xiaolei Li, Chuanqing Huang, Sen Zhao, Linlin Cui, Shirui Guo, Bo Zheng, Yinghao Cui, Yongqian Chen, Yue Zhao, Lujun Cui, Chunjie Xu

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Stability-Optimized Graph Convolutional Network: A Novel Propagation Rule with Constraints Derived from ODEs by Liping Chen, Hongji Zhu, Shuguang Han

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YOLOv8-SC: an improved seafood target-detection model by Zhaofeng Cong, Fusheng Yu

“…It replaces the traditional C2f module with the Sequential Optimized Squeeze Excitation (SOSE) module to streamline the structure and reduce parameters. The model adopts a Bi-directional Feature Pyramid Network (BiFPN)-based architecture to improve accuracy without adding detection heads. …”
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RDM-YOLO: A Lightweight Multi-Scale Model for Real-Time Behavior Recognition of Fourth Instar Silkworms in Sericulture by Jinye Gao, Jun Sun, Xiaohong Wu, Chunxia Dai

“…Methodologically, Res2Net blocks are first integrated into the backbone network to enable hierarchical residual connections, expanding receptive fields and improving multi-scale feature representation. Second, standard convolutional layers are replaced with distribution shifting convolution (DSConv), leveraging dynamic sparsity and quantization mechanisms to reduce computational complexity. …”
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