Inferring Mechanical Properties of Wire Rods via Transfer Learning Using Pre-Trained Neural Networks by Adriany A. F. Eduardo, Gustavo A. S. Martinez, Ted W. Grant, Lucas B. S. Da Silva, Wei-Liang Qian

“…Tentative predictions are made by observing only an insignificant cropped fraction of the material’s profile. …”
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Construction and application of a digital twin model for multi-objectiveoptimization of intelligent tape conveyor system by Wei CHEN, Jingzhao LI, Qing SHI, Jichao LIU, Huashun LI

“…In evaluating system performance, we establish key performance indicators: the amount of spillage, wear of crucial components, total power used by the cleaning mechanism, and accuracy in predicting the sweeping force. We compare our system’s performance under various operational scenarios against an array of common optimization algorithms. …”
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Method and Optimization of Key Parameters of Soil Organic Matter Detection Based on Pyrolysis Coupled with Artificial Olfaction by Mingwei Li, Xiao Li, Xuexun Li, Wenjun Wang, Yulong Chen, Long Zhou, Xiaomeng Xia

“…Finally, the Back-Propagation Neural Network (BPNN) and Partial Least-Squares Regression (PLSR) algorithms were used to establish an SOM prediction model after obtaining soil pyrolysis gases under the optimal combination of pyrolysis parameters. …”
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Assessment of sensor driven automatic smart soil and paddy seed metering mechanisms using artificial intelligence for paddy nurseries by Vinod Choudhary, Rajendra Machavaram, Prakhar Patidar, Gajendra Singh, Naseeb Singh, Lokesh Kumawat

“…The ANN-MOGA (multi-objective genetic algorithms) predicted higher experimental response values compared to the response surface methodology. …”
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LazyAct: Lazy actor with dynamic state skip based on constrained MDP. by Hongjie Zhang, Zhenyu Chen, Hourui Deng, Chaosheng Feng

“…Extensive experimental results indicate that LazyAct reduces the number of inferences by approximately 80% and 40% in single-agent and multi-agents scenarios, respectively, while sustaining comparable policy performance. The inferences reduction significantly decreases the time and FLOPs required by the LazyAct algorithm to complete tasks. …”
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Response analysis and control of plates induced by piezoelectric actuators using finite element method by Thien M. Tran, Trieu L. Vo, Son H. Nguyen

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Development and Implementation of an Automated Production Line Training System by Ali Noori, Faiz Fawzi, Hussain Tabina, Egorov Nikolaevich

“…This study focuses on rehabilitating and developing the DL-MS6000 automatic industrial production line training system at the Ministry of Higher Education and Scientific Research in Baghdad, Iraq. …”
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Analysis of AI-Research Trends on Intellectual Property by Seonghee Bae, Taehoon Kim

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A mechanism of topology optimization for underwater acoustic sensor networks based on autonomous underwater vehicles by Ming He, Fangxin Liu, Zhuang Miao, Huan Zhou, Qiuli Chen

“…Limited energy, high mobility, and unsteady acoustic communication links render the underwater acoustic sensor networks subject to performance reduction. To solve this problem, a topology optimization method, also called TO-A algorithm, is developed based on topology reconfiguration. …”
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Automatic Liver segmentation Using Vector Field Convolution and Artificial Neural Network in MRI Images by Hassan Masoumi, Ahad Salimi, Hamidreza Sadeghi Madavani

“…The preprocessing stage is applied for image enhancement such as edge preserved and noise reduction. The proposed algorithm for liver segmentation is a combined algorithm which utilizes a contour algorithm with a Vector Field Convolution (VFC) field as its external force and perceptron neural network. …”
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Multi-Scenario Robust Distributed Permutation Flow Shop Scheduling Based on DDQN by Shilong Guo, Ming Chen

“…After 2000 iterations, the DDQN algorithm achieves a 15% reduction in makespan with only a 2.5% increase in computational time compared to random search, this joint simulation system offers an efficient and stable solution for the modeling and optimization of the MSRDPFSP issue.…”
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THE EFFECTIVENESS OF «TED TALKS» VIDEO MATERIALS IN TEACHING ENGLISH AT A MEDICAL UNIVERSITY by Yu.V. Lysanets, O.M. Bieliaieva, H.Yu. Morokhovets

“…The article examines the methodological potential of video materials from the TED Talks resource (Technology Entertainment Design) in the context of teaching English for Professional Purposes and Academic English at medical higher education institutions. The TED Talks video materials cover not only topical issues of natural sciences but also modern problems of education, culture, history, business, sustainable development, etc., therefore, they can contribute to the development of both hard and soft skills of undergraduate and Ph.D. students majoring in Health Care and Biology. …”
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Design of an Exam Cheating Detection System Application Based on Machine Learning with the Computer Vision Method by Andra Putra Hendrawan, Esti Wijayanti, Ahmad Abdul Chamid

“…Exam cheating is a persistent problem facing educational institutions worldwide. This cheating not only harms honest students but also undermines the integrity of the education system. …”
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Evaluating the efficiency of teaching basic cardiopulmonary resuscitation among medical university students in Ukraine by H.Yu. Tsymbaliuk, A.M. Chervatiuk, V.O. Krylyuk

“…Only 37.6 % of respondents rated the training as uniform across different departments, indica­ting some inconsistency in the educational process, even within the same higher education institution. …”
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Improving the System of Mandatory Requirements to Business under the Digital Transformation of Economy by S. A. Minich

“…The international experience of implementing the regulatory guillotine mechanism was considered; its essence, purpose, tasks, basic principles, and algorithm of operation were revealed. The issues of establishing and evaluating the application of the requirements for business contained in regulatory legal acts were analyzed.Scientific novelty: the author’s comprehensive analysis of existing scientific developments on improving the system of mandatory requirements for business; systematization of scientific and theoretical approaches to the selection of innovative legal instruments to eliminate excessive legal regulation of economic relations; generalization of successful foreign practices in the implementation of “regulatory guillotine” measures.Practical significance: recommendations were developed for effective reduction of burdensome requirements that negatively affect the development of business in the context of digital transformation of the economy. …”
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A Spatial and Semantic Alignment Fusion Network for SeaLand Port Segmentation by Bo Zhang, Yaxiong Chen, Weichong Dang, Shengwu Xiong, Xiaoqiang Lu

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Mental health of university students twenty months after the beginning of the full-scale Russian-Ukrainian war by Marina Polyvianaia, Yulia Yachnik, Jörg M. Fegert, Emily Sitarski, Nataliia Stepanova, Irina Pinchuk

“…Correlation between variables was calculated with Pearson correlation, adjusted with Benjamini-Hochberg procedure. To develop the predictive model the XGBoost algorithm was employed, additionally, the SHAP algorithm was utilized. …”
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An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…In the presence of faulty switches, the algorithm identifies the phase of the reference current where the predicted currents align with the reference values. …”
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Integrated single-cell and transcriptome sequencing to construct a prognostic model of M2 macrophage-related genes in prostate cancer by TANG Kairan, FENG Chengling, HAN Bangmin

“…The immune infiltration of TCGA samples was assessed using the CIBERSORTx algorithm. Differential genes in scRNA-seq data were identified using the FindMarkers function, and immune cell subtypes were characterized. …”
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AFSA-FastICA-CEEMD Rolling Bearing Fault Diagnosis Method Based on Acoustic Signals by Jin Yan, Fubing Zhou, Xu Zhu, Dapeng Zhang

“…Therefore, effective blind source separation and noise reduction of the acoustic signals generated between different devices is the key to bearing fault diagnosis using acoustic signals. …”
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