YOLO Network-Based Extraction of Target Geometry From Time-Frequency Representation by Jingyuan Han, Kunyi Guo, Xinqing Sheng

“…The robustness of the network is verified through comparison experiments and ablation experiments for different types of targets. Experimental results, including metric functions and data on reconstructed geometric structures, demonstrate good consistency between the extracted and actual geometric parameters, and the trained network model has a good generalization ability for more complicated structural targets. …”
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Comparative Study of the Performance of Two Treatment Planning Systems Using Tests from the MPPG 5b Guidelines, TECDOC 1583 and Venselaar's Confidence Limits by Carlos Vega D'Espaux, Federico Lorenzo, Franco La Paz Mastandrea, Nicolás Larragueta

“… This work presents a comprehensive comparative study of the performance of two Treatment Planning Systems (TPS) in radiotherapy: the Eclipse™ TPS by Varian Medical Systems, which utilizes the Analytical Anisotropic Algorithm (AAA), and the MIRS TPS by Nuclemed, which uses the Convolution and Superposition (CS) Algorithm. The evaluation of both systems was conducted following different methods, including point measurements, dose profiles, and measurements on phantoms with heterogeneities. …”
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ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

“…To ensure the reliability of the results obtained, all the techniques used in the trading were evaluated using several different evaluation mechanisms, including accuracy, precision, recall, F1-score, confusion matrix, and runtime analysis. …”
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STYLISTIC MEANS OF IMPLEMENTING THE IDEA OF THE WORLD’S IRIDESCENCE IN PH.K. DICK’S “UBIK” IN THE CONTEXT OF TRANSLATION TRANSFORMATIONS by Svitlana F. Aleksenko, Larysa I. Taranenko

“…The idea of the world’s iridescence in the novel is brought about by the literary work’s fluctuating plot convolutions stemming from seemingly incoherent planes of different sections of the novel: a mosaic of the primary diegesis together with several hypo-diegeses comes across as a kind of an ontic hazy maze building up to an overall effect of the world’s fluidity and oscillation. …”
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Quantum Integral Inequalities with Respect to Raina’s Function via Coordinated Generalized Ψ-Convex Functions with Applications by Saima Rashid, Saad Ihsan Butt, Shazia Kanwal, Hijaz Ahmad, Miao-Kun Wang

“…This novel framework is the convolution of quantum calculus, convexity, and special functions. …”
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STMSF: Swin Transformer with Multi-Scale Fusion for Remote Sensing Scene Classification by Yingtao Duan, Chao Song, Yifan Zhang, Puyu Cheng, Shaohui Mei

“…Specifically, a multi-scale feature fusion module is proposed, so that features of ground objects at different scales in the RS scene can be well considered by merging multi-scale features. …”
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Research on YOLOv3 model compression strategy for UAV deployment by Fei Xu, Litao Huang, Xiaoyang Gao, Tingting Yu, Leyi Zhang

“…In this paper, we tend to compress YOLOv3 model in different aspects to achieve load availability at the edge. …”
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Research on Pedestrians’ Visual Perception Characteristics Based on USGGS: A Case Study of the Six Inner-City Districts of Tianjin by Hanwen YANG, Shang’en TSOU, Yike HU

“…The model increases the sensory field of the convolution kernel by Atrous convolution technique and null convolution, allowing the model to capture image details at different resolutions and providing more accurate feature recognition support for subsequent SVI segmentation tasks. …”
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Salient object detection with non-local feature enhancement and edge reconstruction by Tao Xu, Jingyao Jiang, Lei Cai, Haojie Chai, Hanjun Ma

“…It aggregates various image details from different branches to better capture and enhance edge information, thereby generating saliency maps with more exact edges. …”
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Research on graph-based heterogeneous data integration method by HUANG Yuezhen, YANG Fen, TIAN Feng, ZHANG Chengye, LI Yuchan

“…The table names and field names were regarded as different types of entities in the graph. Then, input the constructed graph into the graph neural network, and the vector representation of each node in the graph was obtained through graph convolution. …”
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Comparative evaluation of deep learning and machine learning techniques for sentiment analysis of electronic product review data by Nagelli Archana, Saleena B., Prakash B.

“…The Naïve Bayes, support vector machine, decision tree, convolution neural network, long short term memory, recursive neural networks, and recurrent neural networks were used on the dataset after applying different data preprocessing. …”
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A multimodal deep learning model with differential evolution-based optimized features for classification of power quality disturbances by Md Nurul Islam

“…Detection and classification of the different power quality disturbances has become one of the current priority research topics for last few years. …”
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Research on delay upper bound analysis based on network calculus for LEO satellite network by WANG Huizi, SUN Lei, WANG Jianquan, LIN Shangjing, WANG Zhuoqun, SUN Kewen

“…Next, a traffic model was formulated based on leaky bucket model, considering the worst-case impact of interference from different priorities, and then the service curve for a satellite node was established. …”
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Urban Traffic Flow Forecasting Based on Graph Structure Learning by Guangyu Huo, Yong Zhang, Yimei Lv, Hao Ren, Baocai Yin

“…In our model, the graph structure learning module dynamically captures the correlation and causation between the different time series and infers a potentially fully connected graph. …”
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Research on graph-based heterogeneous data integration method by HUANG Yuezhen, YANG Fen, TIAN Feng, ZHANG Chengye, LI Yuchan

“…The table names and field names were regarded as different types of entities in the graph. Then, input the constructed graph into the graph neural network, and the vector representation of each node in the graph was obtained through graph convolution. …”
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NeuroTIS+: An Improved Method for Translation Initiation Site Prediction in Full-Length mRNA Sequence via Primary Structural Information by Wenqiu Xiao, Chao Wei

“…Second, it neglects the heterogeneity of negative TISs originating from different reading frames, which exhibit distinct coding features in their vicinity. …”
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MCADNet: A Multi-Scale Cross-Attention Network for Remote Sensing Image Dehazing by Tao Tao, Haoran Xu, Xin Guan, Hao Zhou

“…Although existing deep learning-based dehazing methods have made significant progress, it is still difficult to completely remove the uneven haze, which often leads to color or structural differences between the dehazed image and the original image. …”
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A recognition model for winter peach fruits based on improved ResNet and multi-scale feature fusion by Yan Li, Chunping Li, Tingting Zhu, Shurong Zhang, Li Liu, Zhanpeng Guan

“…The GhostConv module further improves detection accuracy by reducing the number of convolution kernels. Additionally, the BiFPN structure strengthens the model’s ability to detect objects of different sizes by fusing multi-scale feature information. …”
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A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images by Mengguang Liao, Longcheng Huang, Shaoning Li

“…The experimental results of the SAR images from regions with different geographical characteristics demonstrate that the proposed PSANet outperforms several recent State-of-the-Art methods.…”
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Mechanical Properties Test and Strength Prediction on Basalt Fiber Reinforced Recycled Concrete by Min Huang, Yuru Zhao, Haonan Wang, Shihao Lin

“…In order to study the mechanical properties of basalt fiber reinforced recycled concrete (BFRRC), nine groups of tests are designed with three different replacement rates of recycled aggregates (40%, 70%, and 100%) and volume fraction of basalt fibers (0.1%, 0.2%, and 0.3%). …”
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