THE IMPACT OF ARTIFICIAL INTELLIGENCE IN MEDICAL BIOSTATISTICAL STUDIES: ARE THE STATISTICIANS NO LONGER NECESSARY? A LITERATURE REVIEW by Cristina-Gena Dascălu, Norin Forna, Andrei Georgescu, Claudiu Topoliceanu

“…AI techniques, such as deep learning, support vector machines, decision trees or clustering, expands upon traditional biostatistics to enable systematic processing of complex and high-dimensional unstructured biomedical datasets. …”
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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

“…Machine learning (ML) are the central tool of artificial intelligence, the use of which makes it possible to automate the processing and analysis of large data, reveal hidden or non-obvious patterns and learn a new knowledge. …”
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A Hybrid Deep Learning Paradigm for Robust Feature Extraction and Classification for Cataracts by Akshay Bhuvaneswari Ramakrishnan, Mukunth Madavan, R. Manikandan, Amir H. Gandomi

“…Manual processing of fundus images for the automated identification of ocular disorders is laborious, error‐prone, and time‐consuming. …”
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Activities of Encyclopedic Educator and Intellectual Culture of 18^th Century by S. A. Gerasimova

“…The research methodology is based on a narrative approach in a historiographic perspective, as well as a culture-anthropocentric method that reveals the biography of a scientist as a manifestation of the socio-cultural processes of the era. The use of these methods determined the novelty of the research as a vector of movement of research thought, modeling the phenomenon of professionalism, since it contributes to a deeper understanding of the specifics of the professional picture of the scientist’s world. …”
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A Fault Identification Method for Electric Submersible Pumps Based on DAE-SVM by Peihao Yang, Jiarui Chen, Hairong Zhang, Sheng Li

“…Additionally, a new method based on the denoising autoencoder (DAE) and support vector machine (SVM) is proposed. Firstly, the ESP production data were processed and fault-related features were screened using the random forest (RF) algorithm. …”
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A multi-player game equilibrium problem based on stochastic variational inequalities by Cunlin Li, Wenyu Zhang, Baojun Yang, Hooi Min Yee

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AI-Based model for site-selecting earthquake emergency shelters by Amirmasoud Amiran, Behrouz Behnam, Sanaz Seyedin

“…To address this, machine learning can enhance the speed and accuracy of shelter site selection; the results can also be generalized to other regions. Support vector machine (SVM), K-nearest neighbor (KNN), logistic regression (LR), gaussian processes classifier (GPC), and artificial neural network (ANN) methods are used to develop the model here. …”
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Analysis of interconnections between Lean and QM standards within LCIA framework by Burtseva Tatyana, Mironova Nataliya, Borisova Anzhelika, Mottaeva Asiiat

“…The ubiquitous approaches of lean management and environmental management (lean and green management) stem from the same sentiment, their driving force is of great importance in government and Russian practice, they have different tools and a general view of waste processes. However, the final result, as a rule, meets the needs of these concepts. …”
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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…The proposed algorithms are more efficient than state-of-the-art algorithms even though the suspected image is post-processed.…”
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Epidermal growth factor signalling controls myosin II planar polarity to orchestrate convergent extension movements during Drosophila tubulogenesis. by Aditya Saxena, Barry Denholm, Stephanie Bunt, Marcus Bischoff, Krishnaswamy VijayRaghavan, Helen Skaer

“…Most epithelial tubes arise as small buds and elongate by regulated morphogenetic processes including oriented cell division, cell rearrangements, and changes in cell shape. …”
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Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…Machine learning technology can analyze patients’ historical health data and biometrics to identify high-risk individuals in a timely manner, thereby effectively predicting stroke.This paper evaluates the predictive performance Random Forest and Support Vector Machine (SVM). Data preprocessing encompasses managing missing data, processing categorical variables, and tackling issues related to class imbalance. …”
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Context-dependent similarity searching for small molecular fragments by Atsushi Yoshimori, Jürgen Bajorath

“…Context-dependent similarity assessment is based on vector embeddings as fragment representations generated using neural networks. …”
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Conceptual approaches to transforming budgeting procedures on the basis of opportunities provided by big data technologies by E. D. Novikova

“…Turbulence of external environment stipulates the growth in volatility and uncertainty in operative environment removing the vector of objectives for accounting and budgeting. …”
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An Investigation for Steganalysis in Color Images by Samah Aziz, Ahmed Nori

“…The work relied on two important technologies; the first is called the Support Vector Machine (SVM) and the second is called Fisher Linear Discriminator (FLD). …”
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Performance Analysis of Gray-Coded DP-16QAM MIMO-FSO Systems With Coherent Detection and DSP Techniques by Zinegnaw Libisework Gelaw, Pushparaghavan Annamalai, Hailu Dessalegn Ayalew

“…The performance of a gray-coded dual polarization-16 quadrature amplitude modulation (DP-16 QAM)–based multiple input multiple output (MIMO)-FSO link using coherent detection and digital signal processing (DSP) is investigated. The MIMO link is used to mitigate geometric loss, atmospheric attenuation, and atmospheric turbulence. …”
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Photonics-Based Broadband RF Spectrum Measurement With Sliced Coherent Detection and Spectrum Stitching Technique by Guangyu Gao, Lihua Lei

“…A novel photonics-based channelization approach is proposed for broadband radio frequency (RF) spectrum measurement with a single optical frequency comb, sliced coherent detection (SCD), and improved fast fourier transform-based digital signal processing. Through SCD, channel estimation and spectrum stitching, a broadband and complex RF spectrum can be detected and reconstructed with vector information in a high fidelity. …”
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Understanding the role of eye movement pattern and consistency during face recognition through EEG decoding by Guoyang Liu, Yueyuan Zheng, Michelle Hei Lam Tsang, Yazhou, Zhao, Janet H. Hsiao

“…Thus, eye movement patterns are associated with neural representation effectiveness, whereas eye movement consistency reflects neural representation development efficiency, unraveling different aspects of cognitive processes.…”
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Aero-Engine Fault Detection with an LSTM Auto-Encoder Combined with a Self-Attention Mechanism by Wenyou Du, Jingyi Zhang, Guanglei Meng, Haoran Zhang

“…The LSTM auto-encoder processes the time-series data through an encoder–decoder architecture, extracting latent representations and reconstructing the original inputs. …”
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A New Feature Extraction Technique Based on 1D Local Binary Pattern for Gear Fault Detection by Zrar Kh. Abdul, Abdulbasit Al-Talabani, Ayub O. Abdulrahman

“…Vibration signals of a rotating machine with normal, break, and crack gears are processed for feature extraction. The extracted features from the original signals are utilized as inputs to a classifier based on k-Nearest Neighbour (k-NN) and Support Vector Machine (SVM) for three classes (normal, break, or crack). …”
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Distinguishing Characteristic of the Industrial Development of the South of Russia (Kuban and Stavropol) at the Turn of the 1920-1930s by D. A. Salfetnikov

“…It is proved that the industrial enterprises of Stavropol and, especially, Kuban were distinguished by a multi-vector application and development of their production potential, despite the pronounced agrarian dominant in the economy of these regions.…”
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