The adaptive constant false alarm rate for sonar target detection based on back propagation neural network access by Zhou Chen, Xianwen Zhao, Ziqi Zhou, Xuefei Ma, Qi Cheng, Xuan Cai, Bowang Jiang, Rahim Khan, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba

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Manufacturing Process Optimization Using Open Data and Different Analysis Methods by Md Tahiduzzaman, Angkush Kumar Ghosh, Sharifu Ura

“…To attain optimal machining performance—characterized by a high material removal rate, minimal tool wear, and superior surface finish—cutting conditions (such as the depth of the cut, feed rate, and cutting speed) must be meticulously optimized. …”
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The Norwegian national trauma registry: development process and essential data insights by Kjetil Gorseth Ringdal, Kjetil Tengesdal Holm, Olav Røise

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HyperSense: Hyperdimensional Intelligent Sensing for Energy‐Efficient Sparse Data Processing by Sanggeon Yun, Hanning Chen, Ryozo Masukawa, Hamza Errahmouni Barkam, Andrew Ding, Wenjun Huang, Arghavan Rezvani, Shaahin Angizi, Mohsen Imani

“…Introducing HyperSense, the co‐designed hardware and software system efficiently controls analog‐to‐digital converter (ADC) modules’ data generation rate based on object presence predictions in sensor data. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“…Conclusion: AI-based models are, indeed, recommended for data processing of large and/or unstructured complex medical data sets. …”
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Near-field extremely large-scale MIMO data rate prediction based on deep learning by Guozhi Rong, Rugui Yao, Yifeng He

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Intelligent Data Processing Methods for Studying the Influence of the Environment on the Morbidity of the Population in Moscow by T. V. Zolotova, A. S. Marunko

“…Based on collected and processed open data on environmental indexes and population morbidity in various districts of Moscow, various types of analysis were carried out to identify the relationship between these data. …”
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Rational determination of real-time corrosion rates based on ultrasonic wall thickness loss data by Yunda Chen, Xinru Bai, Minghao Guo, Fangxin Zou, Guozhe Meng

“…During a corrosion process, the GLR algorithm will continuously gauge the probability of occurrence of a change in corrosion rate; once it deems that a change has occurred, the new corrosion rate will be evaluated based on the data points bounded by the present and the preceding change in corrosion rate. …”
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Evaluation of the structural changes of the hand joints and the rates of rheumatoid arthritis progression according to ultrasound data by Rita Aleksandrovna Osipyants, D E Karateev, E Yu Panasyuk, G V Lukina, A V Smirnov, S I Glukhova, E N Aleksandrova, A V Volkov, E L Nasonov

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COMPARISON OF CRUSTAL DEFORMATION RATES ESTIMATED FROM SEISMIC AND GPS DATA ON THE BISHKEK GEODYNAMIC POLYGON by N. A. Sycheva, A. N. Mansurov

“…Figure 6 shows the scatter of the sums of the strain rate tensor’s horizontal components estimated from the seismic data. …”
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Optimizing the screening process for TIRADS could reduce the number of unnecessary thyroid biopsies by Ke Lu, Long Wang, Shuiqing Lai, Zhijiang Chen, Qibo Zhu, Shuzhen Cong, Kehong Gan, Xiaoyan Chen, Chunwang Huang, Jian Kuang

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Enhancing Review Processing in the Video Game Adaptation Domain through VADER and Rating-Based Labeling using SVM by Danita Divka Sajmira, Khothibul Umam, Maya Rini Handayani

“…These results show that the SVM model trained on VADER-labeled data achieved an accuracy of 0.97, outperforming the model trained on manually labeled data at 0.79. …”
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Effect of Individual Counseling on the Participation Rate of Pregnant Mothers in Decision Making on the Treatment Process: Clinical Trial by Rashin Nasiri, Fatemeh Ranjkesh, Forozan Olfati, Maryam Mafi

“…Conclusion: Individual counseling is an effective and appropriate intervention to increase the participation rate of pregnant mothers in decision making in the treatment process.…”
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Influence of MIG Welding Process Parameters on the Strength of Bimetal Joints: Study of Gas Flow Rate and Macrofractures by Talifatim Machfuroh, Kris Witono, Septyana Riskitasari, Etik Puspitasari

“…The research was carried out experimentally where each variation was repeated with data 3 times. Based on the results and discussion, it is known that the optimal gas flow rate in general is 20 l/min, where the tensile strength reaches 353.1442 MPa–455.5458 MPa. …”
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Evaluating Label Encoding and Preprocessing Techniques for Breast Cancer Prediction Using Machine Learning Algorithms by Mukesh Kumar, Vivek Bhardwaj

“…Although the dataset is relatively small, it provides valuable insights. The data was evaluated with many ML techniques and different predictive models were built with the valuable results. …”
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Physiological and behavioral data on active and traditional learning in engineering educationMendeley Data by José Roberto Dale Luche, Claudia Regina de Freitas, Blaha Gregory Correia dos Santos Goussain, Messias Borges Silva

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Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer by Hardik Dhingra, Roopashri Shetty

“…Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning (ML) and deep learning (DL) models for the early prediction of ovarian cancer using clinical and biomarker data. …”
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Predicting Win-rates of Hearthstone Decks: Models and Features that Won AAIA’2018 Data Mining Challenge by Quang Hieu Vu, Dymitr Ruta, Andrzej Ruta, Ling Cen

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The Big Data Processing Algorithm for Water Environment Monitoring of the Three Gorges Reservoir Area by Yuanchang Zhong, Liang Zhang, Shaojing Xing, Fachuan Li, Beili Wan

“…In order to identify the water quality quickly and effectively, this paper presents a new big data processing algorithm for water quality analysis. …”
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In-Fiber Subpicosecond Pulse Shaping for Nonlinear Optical Telecommunication Data Processing at 640 Gbit/s by J. Azaña, L. K. Oxenløwe, E. Palushani, R. Slavík, M. Galili, H. C. H. Mulvad, H. Hu, Y. Park, A. T. Clausen, P. Jeppesen

“…The use of flat-top pulses has critical benefits in the demultiplexing process, including a significantly increased timing-jitter tolerance (up to ~500 fs, i.e., 30% of the bit period) and the associated improvement in the bit-error-rate performance (e.g., with a sensitivity increase of up to ~13 dB as compared with the use of Gaussian-like gating pulses). …”
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