Etoricoxib (arcoxia) in rheumatology by Fatima Magomedovna Kudaeva, V G Barskova, Fatima Magomedovna Kudayeva, V G Barskova

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轴类零件智能化CAD/CAM by 刘宁, 张松林

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A Decision-Aid Tool to Compare Costs of Mechanical Harvesting Systems by Fritz Roka

“…FE751, a 4-page illustrated fact sheet by Fritz Roka, provides instructions in the use of a Web-based tool to help growers and harvesting contractors organize relevant harvest cost information and then calculate and compare net harvest costs among all available harvesting options. …”
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齿轮故障自动监测的频谱分析和研究 by 张新华, 鲁志康, 李新荣

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EATEN ITALY by Giorgia Iovino

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DISCUSSION IDEAS ABOUT MEDICINE AMBIGUITIES by Yu. V. Muravyev, L. A. Muravyev

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A novel framework for esophageal cancer grading: combining CT imaging, radiomics, reproducibility, and deep learning insights by Muna Alsallal, Hanan Hassan Ahmed, Radhwan Abdul Kareem, Anupam Yadav, Subbulakshmi Ganesan, Aman Shankhyan, Sofia Gupta, Kamal Kant Joshi, Hayder Naji Sameer, Ahmed Yaseen, Zainab H. Athab, Mohaned Adil, Bagher Farhood

“…The study used two deep learning models—DenseNet121 and EfficientNet-B0—enhanced with attention mechanisms to improve accuracy. …”
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The Best Practice of Listening Learning for Beginners by Umi Mahmudah, Sutrisno Sutrisno, Hisyam Zaini, Ifa Rodifah Nur

“…This study is a qualitative study, and the object of the study is listening learning for beginners in the Arabic-Online.Net Saudi Electronic University program. The research data is an istima'/listening learning program for beginners (A1), which is learning at levels 1,2, and 3 in the "Arabic-Online.Net" website of Saudi Electronic University. …”
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COVID-19 Data Analytics Using Extended Convolutional Technique by Anand Kumar Gupta, Asadi Srinivasulu, Olutayo Oyeyemi Oyerinde, Giovanni Pau, C. V. Ravikumar

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Detection and Recognition of Underwater Acoustic Communication Signal Under Ocean Background Noise by Mengyi Li, Jilong Li, Haihong Feng

“…EfficientDet performs bidirectional feature fusion to enhance the connections and information flow between signal features. After fine-tuning with simulated data, SSD-MobileNet-V2-FPNlite achieves high detection accuracy on both simulated and real lake test data without transfer learning. …”
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UNIFIED MULTIMODAL BIOMETRICS FUSION USING DEEP LEARNING FOR SECURING IOT by Prabhjot Kaur, Chander Kaur

“…This work specifically incorporates three popular CNN architectures: ResNet-50, InceptionNet, XceptionNet, and fine-tuned CNN. …”
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Characterizing Subsurface Structures From Hard and Soft Data With Multiple‐Condition Fusion Neural Network by Zhesi Cui, Qiyu Chen, Jian Luo, Xiaogang Ma, Gang Liu

“…Experimental results underscore the utility and superiority of MCF‐Net in applications of hydrogeological modeling.…”
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A Framework for Early Detection of Acute Lymphoblastic Leukemia and Its Subtypes From Peripheral Blood Smear Images Using Deep Ensemble Learning Technique by Sajida Perveen, Abdullah Alourani, Muhammad Shahbaz, M. Usman Ashraf, Isma Hamid

“…Experimental results are obtained and comparative analysis among 7 well-known CNN Network architectures (AlexNet, VGGNet, Inception, ResNet-50, ResNet-18, Inception and DenseNet-121) is also performed that demonstrated that the proposed platform achieved comparatively high accuracy (99.95%), precision (99.92%), recall (99.92%), F1-Score (99.90%), sensitivity (99.92%) and specificity (99.97%). …”
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CABAD: A video dataset for benchmarking child aggression recognition by Shehzad Ali, Md Tanvir Islam, Ik Hyun Lee, Mohammad Hijji, Khan Muhammad

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Capsule neural network and its applications in drug discovery by Yiwei Wang, Binyou Wang, Jun Zou, Anguo Wu, Yuan Liu, Ying Wan, Jiesi Luo, Jianming Wu

“…Developing algorithms that effectively learn from sparsely labeled data is crucial. Capsule networks (CapsNet), introduced in 2017, solve the spatial information loss in traditional neural networks and excel in handling small datasets by capturing spatial hierarchical relationships among features. …”
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Research and development of quality traceability system based on intellectual technology for bee products by You Zhaotong, Kong Yaguang, Hu Xiaofei, Chen Tianjun

“…NET technology. It provides a certain reference value for the quality and safety of agricultural products traceability.…”
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Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans by Yusheng Guo, Bingxin Gong, Guowei Jiang, Wang Du, Shuangfeng Dai, Qi Wan, Dongyong Zhu, Chanyuan Liu, Yi Li, Qing Sun, Qianqian Fan, Bo Liang, Lian Yang, Chuansheng Zheng

“…Conclusion Thy-uNET can provide reliable automatic segmentation and automatic measurement information of the thymus or thymic region on routine CT, reducing time costs and improving the consistency of evaluations.…”
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Gaze Estimation Based on a Multi-Stream Adaptive Feature Fusion Network by Changli Li, Enrui Tong, Kao Zhang, Nenglun Cheng, Zhongyuan Lai, Zhigeng Pan

“…To address this issue, this paper proposes a multi-stream multi-input network architecture (MSMI-Net) based on appearance. The model consists of two independent streams designed to extract high-dimensional eye features and low-dimensional features, integrating both eye and facial information. …”
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Rapid, Precise Parameter Optimization and Performance Prediction for Multi-Diode Photovoltaic Model Using Puma Optimizer by En-Jui Liu, Yan-Hao Huang, Wei-Lun Lin, Chen-Kai Wen, Chun-I Lin

“…Photovoltaic (PV) technology is essential for achieving net-zero emissions by 2050. PV system efficiency is highly sensitive to irradiance, temperature, and shading. …”
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TSMGA: Temporal-Spatial Multiscale Graph Attention Network for Remote Sensing Change Detection by Xiaoyang Zhang, Genji Yuan, Zhen Hua, Jinjiang Li

“…In this article, we propose a temporal-spatial multiscale graph attention network (TSMGA), specifically, TSMGA employs a pair of pretrained ResNet18 for effective multiscale feature extraction, and in order to enhance the disparity information of the bitemporal images, we also design the temporal fusion block to emphasize the changed areas. …”
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