Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

“…Data-driven techniques leverage historical data, AI, and machine learning algorithms to identify degradation trends and predict RUL, which can provide flexible and adaptive solutions. …”
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Changes in blood pressure thresholds for initiating antihypertensive medication in patients with diabetes: a repeated cross-sectional study focusing on the impact of age and frailt... by Grigory Sidorenkov, Petra Denig, Sieta T de Vries, Martina Ambrož, Klaas Hoogenberg

“…This is in contrast with changed guideline recommendations towards more personalised treatment during the study period and illustrates that changing prescribing practice may take considerable time. Patient-specific algorithms and tools focusing on when and when not to initiate treatment could be helpful to support personalised diabetes care.…”
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EXPLORING AUTOMATED SUMMARIZATION: FROM EXTRACTION TO ABSTRACTION by Svetlana G. Sorokina

“…Summaries generated by AI models offer new opportunities for analyzing machine-generated language and provide valuable data for studying how algorithms process, condense, and restructure human language.…”
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CONCERNING CORRELATION BETWEEN METHODOLOGY AND TECHNOLOGY IN PEDAGOGICAL RESEARCH by Vladimir I. Zagvyazinsky

“…The author doesn’t take into consideration the rigid technology of algorithmic type which is hardly useful in works of creative character; but in the present case – frame technology that defines the expedient organisation, sequence of stages of work and its corresponding maintenance. …”
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ADeFS: A Deep Forest Regression-Based Model to Enhance the Performance Based on LASSO and Elastic Net by Zari Farhadi, Mohammad-Reza Feizi-Derakhshi, Israa Khalaf Salman Al-Tameemi, Wonjoon Kim

“…In tree-based algorithms like random forest and deep forest, due to the presence of numerous inefficient trees and forests in the model, the computational load increases and the efficiency decreases. …”
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Time Domain Equalization and Digital Back-Propagation Method-Based Receiver for Fiber Optic Communication Systems by Fazal Muhammad, Farman Ali, Usman Habib, Muhammad Usman, Imran Khan, Sunghwan Kim

“…The development of components and algorithms to minimize these effects in next generation FOCSs with 100 Gbps data rate and beyond with long-haul transmission is still a challenging issue. …”
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PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

“…PD_EBM leverages machine learning (ML) algorithms and a hybrid feature selection approach to enhance diagnostic accuracy. …”
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Intratumor heterogeneity: models of malignancy emergence and evolution by R. A. Ivanov, S. A. Lashin

“…In parallel, computational models and algorithms have been developed to simulate and analyze cancer evolution. …”
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A Line Feature-Based Rotation Invariant Method for Pre- and Post-Damage Remote Sensing Image Registration by Yalun Zhao, Derong Chen, Jiulu Gong

“…In addition, the results of the comparative experiments show that the registration precision and error of the proposed method are better than those of the existing typical representative algorithms.…”
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Compliance of cardiopulmonary resuscitation during in hospital cardiac arrest in a teaching institution by R. Arun Kumar, S. Chandresh, Ahamed Ashar Ali

“…Our study revealed that the issues with resuscitation performance in an algorithmic approach were more significant than those with documentation and resource issues. …”
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The potential for productive use of the digital service LearningApps in teaching foreign languages by Natalia A. Katalkina, Nadezhda V. Bogdanova

“…Interactive game simulators serve to develop algorithmic thinking of students in foreign language lessons. …”
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Signals of propaganda-Detecting and estimating political influences in information spread in social networks. by Alon Sela, Omer Neter, Václav Lohr, Petr Cihelka, Fan Wang, Moti Zwilling, John Phillip Sabou, Miloš Ulman

“…Their methods include the use of synchronized or individual bots, multiple accounts operated by one social media management tool, or different manipulations of search engines and social network algorithms, all aiming to promote their ideology. While computational propaganda influences modern society, it is hard to measure or detect it. …”
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Network-based transfer of pan-cancer immunotherapy responses to guide breast cancer prognosis by Xiaobao Ding, Lin Zhang, Ming Fan, Lihua Li

“…We introduced a network-based transfer (NBT) of pan-cancer immunotherapy responses to enhance breast cancer prognosis using node embedding and heat diffusion algorithms, identifying gene signatures netNE and netHD. …”
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Applications of Ultrasonic Brain Imaging and Transcranial Ultrasound Therapy in Brain Injury Rehabilitation by WU Yi

“…With the development of technology, the research and development of new algorithms and high-sensitivity ultrasound transducers have made up for the attenuation of ultrasound in the skull to a certain extent, and realized the application of ultrasound in the field of brain science. …”
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Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions by Yiqun Pang, Kaiqi Zhang, Fengmei Li

“…Experimental results indicate that the integrated model using the weighted average strategy not only outperforms other algorithms after feature alignment (on the XSQ dataset MAE is 0.237, RMSE is 0.442, sMAPE is 8.569, R $$^{2}$$ is 0.633, Pearson’s correlation is 0.807, ICC is 0.856. on the UMONS-Taichi dataset, MAE is 0.29, RMSE is 0.438, sMAPE is 10.01, R $$^{2}$$ is 0.844, Pearson correlation is 0.921, and ICC is 0.954. on the PBB dataset, MAE is 0.261, RMSE is 0.351, sMAPE is 6.765, R $$^{2}$$ is 0.557, Pearson correlation is 0.753, and ICC is 0.82), but is also close to the performance of human experts. …”
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Review of cryptographic application security evaluation techniques for new critical infrastructures by Gaolei LI, Jianhua LI, Zhihong ZHOU, Hao ZHANG

“….), and innovation infrastructure (including big data, artificial intelligence, blockchain, etc.) to the security evaluation of cryptography applications.Furthermore, the new requirements were revealed about domestically produced cryptography algorithms and protocols deployed on high-performance computing chips, ultra-high-speed communication modules, and large-capacity storage media for cryptography application security evaluation technology.Finally, the development of automated and intelligent cryptography application security evaluation technology was explored.…”
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CONCEPT AND MEANS OF FORMALIZING ACTIVITIES IN THE FIELD OF CRIMINAL JUSTICE by Oleksandr Khan

“…Based on the results of the study, the author concludes that formalization of activities in the field of criminal justice should be understood as the process of streamlining the actions and decisions of participants to criminal proceedings through their legal regulation, established ethical norms, and also such means as planning of activities by the subject and application of the rules of a recommendatory nature which are concentrated in the provided algorithms and programs. These means of formalization have different legal nature, but they can still be considered in the same order in accordance with their function in the field of criminal justice, which provides for the possibility of their grouping.…”
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Künstliche Intelligenz im Englischunterricht – Grundwissen und Praxisbeispiele by Inez De Florio-Hansen

“…What are the meanings of fundamental concepts such as algorithms, machine learning, and artificial neural networks? …”
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Identification of the immune infiltration and biomarkers in ulcerative colitis based on liquid–liquid phase separation-related genes by Zhixing Hong, Shilin Fang, Haihang Nie, Jingkai Zhou, Yuntian Hong, Lan Liu, Qiu Zhao

“…We identified the hub LLPS-RGs (DE-LLPS-RGs) (HSPB3, SLC16A1, TRIM22, SRI, PLEKHG6, GBP1, PADI2) by machine learning algorithms. Hub genes were screened that displayed high prediction accuracy of UC patients. …”
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A new dimensionality reduction technique based on the Wavelet Transform for cancer classification by Lisardo Fernández, Mariano Pérez, Juan M. Orduña, José M. Alcaraz

“…Although the advent of methylation microarrays such as the HumanMethylation450 platform has greatly reduced the dimensionality of the problem from billions to 450K positions, this data size is still too large to be processed by machine learning algorithms for cancer prediction and classification. …”
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