Advances in application of ultrasound in diagnosis of diabetic nephropathy by GUO Juan, YANG Zhifang, JI Ri

“…The innovative development and multimodal integration of ultrasound technology have increasingly highlighted its value in the differential diagnosis and disease assessment of DN. …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This study highlights the technological integration, addresses the challenges, and the substantial enhancements in automated machining processes facilitated by this innovative approach.Methods This study introduces a sophisticated Multi-level Video Transformer algorithm-based video classification model, the Multi-level Video Transformer, designed for high-level semantic video representation learning. …”
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Large Language Models and Artificial Neural Networks for Assessing 1-Year Mortality in Patients With Myocardial Infarction: Analysis From the Medical Information Mart for Intensive... by Boqun Shi, Liangguo Chen, Shuo Pang, Yue Wang, Shen Wang, Fadong Li, Wenxin Zhao, Pengrong Guo, Leli Zhang, Chu Fan, Yi Zou, Xiaofan Wu

“…Qwen-2 and Llama-3 analyzed the content of patients’ discharge records and directly provided a 1-decimal value between 0 and 1 to represent 1-year death risk probabilities. …”
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A Robust Tomato Counting Framework for Greenhouse Inspection Robots Using YOLOv8 and Inter-Frame Prediction by Wanli Zheng, Guanglin Dai, Miao Hu, Pengbo Wang

“…The proposed method integrates YOLOv8-based detection, depth filtering, and an inter-frame prediction algorithm to address key challenges such as background interference, occlusion, and double-counting. …”
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Adaptive Dynamic Programming with Reinforcement Learning on Optimization of Flight Departure Scheduling by Hong Liu, Song Li, Fang Sun, Wei Fan, Wai-Hung Ip, Kai-Leung Yung

“…Comparative analyses with alternative approaches, including the branch and bound algorithm for static conditions and the first-come, first-served (FCFS) algorithm for routine scenarios, are conducted. …”
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Tilt-Induced Error Compensation with Vision-Based Method for Polarization Navigation by Meng Yuan, Xindong Wu, Chenguang Wang, Xiaochen Liu

“…First, a defogging enhancement algorithm that integrates Retinex theory with dark channel prior is adopted to improve image quality in low-illumination and hazy environments. …”
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Application of Machine Tool Thermal Error Compensation in Digital Twin-based System by MA Chi, LI Minging, LIU Jialan, HE Jialong, HUA Chunlei, WANG Liang

“…Moreover, a novel collinearity exclusion-based thermal error method is proposed in this work based on the modified tolerance value. A novel prediction model utilizing a strong-convergence chimp optimization algorithm combined with a minimal gated unit-attention mechanism is proposed to characterize the dependence of the current thermal error on the historical thermal informant data, forming strong-convergence chimp optimization algorithm-minimal gated unit-attention ( SC-ChOA-MGU-A) model,ensuring data integrity. …”
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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…By incorporating a maximum entropy approach, it enhances the robustness of conventional deep reinforcement learning and integrates dominance learning to refine Soft Actor-Critic’s Q-value function update, mitigating overestimation issues and boosting algorithmic performance. …”
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Design of a water heating system for automatic coffee maker using OMRON CP1E-NA20DR-A PLC and PID control by Rosyady Phisca Aditya, Aditya Wahyu, Habibah Nurina Umy

“…The results of controlling the water temperature at a set point of 82ºC the system works with the parameter values Proportional Band = 20%, Integral Time = 50 seconds, and Derivative Time = 0.2 seconds resulting in a system response with a rise time value = 267 seconds, overshoot = 2.19 ºC, and peak time = 360 seconds.…”
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Implementation of Extreme Programming and Simple Additive Weighting for Web-Based Sales and Product Preference Analysis in Traditional Herbal Businesses by Sumardiono Sumardiono, Wiwit Priyadi, Harjunadi Wicaksono, Hadi Santosa, Khoem Sambath, Andi Daffa Liefalza

“…The results of the SAW algorithm application show that the "Wedang Kencur" product is the best-selling herbal medicine with a preference value of 0.92, followed by "Wedang Mpon-mpon" at 0.85 and "Kunyit Asam" at 0.79. …”
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Automatic optimization of regions of interest in hyperspectral images for detecting vegetative indices in soybeans by Sangyeab Lee, Amit Ghimire, Amit Ghimire, Yoonha Kim, Yoonha Kim, Yoonha Kim, Jeong-Dong Lee, Jeong-Dong Lee, Jeong-Dong Lee

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Methods for Designing Technologies of Organic Crop Production by A. M. Zakharov, A. A. Ustroev, E. A. Murzaev, A. D. Komoedov

“…The integrated eco-economic criterion must be optimized to minimize its value for each technological operation. …”
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Contactless Diagnosis Method and Unsupervised Learning for Panel-Level Photovoltaic Plant Operation and Maintenance by Yifan Wang, Jianrong Xu, Fei Xu, Long Deng, Chensheng Jin, Wenzhong Bao, Yufeng Xie

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Experimental and Analytical Studies on Improved Feedforward ML Estimation Based on LS-SVR by Xueqian Liu, Hongyi Yu

“…And the threshold values of their MSE curves are decreased by 0.3 dB and 1.2 dB, respectively, which obviously exhibit the advantage of the proposed algorithm.…”
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Graph-based method for constructing consensus trees by Torquet Elio, Jansson Jesper, Tahiri Nadia

“…Our adaptation of the well-known Prim algorithm efficiently identifies the maximum frequency branch and maximum frequency nodes to build the optimal consensus tree. …”
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VR interactive input system based on INS and binocular vision fusion by Hongxia Zhao, Bei Wang

“…This study explores the application of inertial measurement units and binocular vision fusion technology in virtual reality interactive input systems, with the aim of improving the tracking accuracy of the system through optimized pose models and visual algorithms. A virtual reality measurement technology that integrates inertial measurement units and binocular vision is proposed by using an improved Kalman filtering algorithm to process inertial measurement units data, and combining it with the SURF algorithm optimized binocular vision system. …”
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TrustBlock: An adaptive trust evaluation of SDN network nodes based on double-layer blockchain. by Bo Zhao, Yifan Liu, Xiang Li, Jiayue Li, Jianwen Zou

“…Firstly, from the perspective of security, blockchain is used to achieve identity authentication of nodes, after that, from the perspective of reliability, the forwarding status is used to calculate the trust value. Secondly, consensus algorithm is used to filter malicious recommendation trust value and prevent colluding attacks. …”
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AIBPO: Combine the Intrinsic Reward and Auxiliary Task for 3D Strategy Game by Huale Li, Rui Cao, Xuan Wang, Xiaohan Hou, Tao Qian, Fengwei Jia, Jiajia Zhang, Shuhan Qi

“…To solve this problem, in this paper, we propose an intrinsic-based policy optimization (IBPO) algorithm for reward sparsity. In the IBPO, a novel intrinsic reward is integrated into the value network, which provides an additional reward in the environment with sparse reward, so as to accelerate the training. …”
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Automated extracellular volume fraction measurement for diagnosis and prognostication in patients with light-chain cardiac amyloidosis. by In-Chang Hwang, Eun Ju Chun, Pan Ki Kim, Myeongju Kim, Jiesuck Park, Hong-Mi Choi, Yeonyee E Yoon, Goo-Yeong Cho, Byoung Wook Choi

“…A semi-automated deep learning algorithm (Myomics-Q) was used for the analysis of the CMR images. …”
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Restoration of multi-channel signal loss using autoencoder with recursive input strategy by Jaejun Lee, Yonggyun Yu, Hogeon Seo

“…Abstract Multi-channel sensor data often suffer from missing or corrupted values due to sensor failures, communication disruptions, or environmental interference. …”
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