THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…At the same time, diverse adaptation patterns to AI use necessitate a rethinking of the role of human judgement and raise concerns about technological dependency, algorithmic bias, and unequal access to innovation. …”
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AI-Driven Optimization of Blockchain Scalability, Security, and Privacy Protection by Fujiang Yuan, Zihao Zuo, Yang Jiang, Wenzhou Shu, Zhen Tian, Chenxi Ye, Junye Yang, Zebing Mao, Xia Huang, Shaojie Gu, Yanhong Peng

“…Artificial intelligence, with its powerful data processing capability, pattern recognition ability, and adaptive optimization algorithms, can improve the transaction processing efficiency of blockchain, enhance the security mechanism, and optimize the privacy protection strategy, thus effectively alleviating the limitations of blockchain in terms of scalability and security. …”
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Enhanced Viral Genome Classification Using Large Language Models by Hemalatha Gunasekaran, Nesaian Reginal Wilfred Blessing, Umar Sathic, Mohammad Shahid Husain

“…Among these are traditional algorithms such as Random Forest (RF), K-nearest neighbors (KNNs), Decision Tree (DT), and Naive Bayes (NB), each offering unique advantages in handling genetic data. …”
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Design and Dimension Optimization of Rigid–Soft Hand Function Rehabilitation Robots by Rui Zhang, Meng Ning, Yuqian Wang, Jun Yang

“…Experimental results confirm the system’s ability to replicate physiological motion patterns and adapt to multiple rehabilitation scenarios.…”
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Enhanced Fault Detection in Satellite Attitude Control Systems Using LSTM-Based Deep Learning and Redundant Reaction Wheels by Sajad Saraygord Afshari

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End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning by Jernej Mlinarič, Boštjan Pregelj, Gregor Dolanc

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A Novel Open Circuit Fault Diagnosis for a Modular Multilevel Converter with Modal Time-Frequency Diagram and FFT-CNN-BIGRU Attention by Ziyuan Zhai, Ning Wang, Siran Lu, Bo Zhou, Lei Guo

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Deploying an Educational Mobile Robot by Dorina Plókai, Borsa Détár, Tamás Haidegger, Enikő Nagy

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Numerical modelling of rope elasticity for heave compensation lifting in offshore crane operations by Bassey Asanga, Akanimo Ekpenyong, Aniekan Ikpe

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Large-scale gene expression data clustering through incremental ensemble approach by Imran Khan, Abdul Khalique Shaikh, Naresh Adhikari

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Advanced fault detection in photovoltaic panels using enhanced U-Net architectures by Khalfalla Awedat, Gurcan Comert, Mustafa Ayad, Abdulmajid Mrebit

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Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models by C Fanelli, J Giroux, J Stevens

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Rapid Automated Mapping of Clouds on Titan With Instance Segmentation by Zachary Yahn, Douglas M. Trent, Ethan Duncan, Benoît Seignovert, John Santerre, Conor A. Nixon

“…We compare the efficiencies of human‐driven versus algorithmic approaches, showing that transfer learning provides speed‐ups that may open new horizons for data investigation for Titan. …”
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Transforming tabular data into images via enhanced spatial relationships for CNN processing by Hameedah A. Alenizy, Jawad Berri

“…This transformation enables CNNs to process tabular data efficiently by leveraging automated feature extraction and enhanced pattern recognition. The NCTD algorithm was extensively evaluated and compared with traditional machine learning algorithms and existing methods on ten benchmark datasets. …”
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Application of pso for solving problems of invariant comparison of two-dimensional closed curve by Dmitry Borisovich Abramov, Sergey Olegovich Baranov, Sergey Vladimirovich Leykhter

“…The developed algorithms can be used in bioinformatics and biometrics systems, classification of images and objects, machine vision systems, for pattern recognition and object tracking systems.…”
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High-Knee-Flexion Posture Recognition Using Multi-Dimensional Dynamic Time Warping on Inertial Sensor Data by Annemarie F. Laudanski, Arne Küderle, Felix Kluge, Bjoern M. Eskofier, Stacey M. Acker

“…Relating continuously collected inertial data to the activities or postures performed by the sensor wearer requires pattern recognition or machine-learning-based algorithms, accounting for the temporal and scale variability present in human movements. …”
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Analytical approach for modelling of thread crimp in jacquard woven two-dimensional fabrics by Brigita Kolcavová Sirková, Iva Mertová

“…The parameter responds both to changes in areas in the input image and to changes in the interlacing in the weave. An algorithm has been built in the ProTkaTex software that records the transition of both warp and weft threads in the pattern’s weave. …”
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Apple Variety Identification Using Near-Infrared Spectroscopy by Caihong Li, Lingling Li, Yuan Wu, Min Lu, Yi Yang, Lian Li

“…Near-infrared (NIR) spectra of apple samples were submitted in this paper to principal component analysis (PCA) and successive projections algorithm (SPA) to conduct variable selection. Three pattern recognition methods, backpropagation neural network (BPNN), support vector machine (SVM), and extreme learning machine (ELM), were applied to establish models for distinguishing apples of different varieties and geographical origins. …”
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Research on Longitudinal Intelligent Control of Autonomous-rail Rapid Tram by TANG Liang, SHEN Mengyu, XIAO Lei

“…And then, it presents the multi-mode division of longitudinal intelligent control designed in the finite-state machine (FSM) pattern and from simulation of drivers' behavior characteristics, and proposes the intelligent longitudinal control strategy and algorithm to enable the intelligent train operation control functions, such as autonomous following, automatic operation at traffic light intersections, automatic deceleration on curves, and parking at stations in high-precision alignment. …”
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Phase Space Similarity as a Signature for Rolling Bearing Fault Diagnosis and Remaining Useful Life Estimation by Fang Liu, Bing He, Yongbin Liu, Siliang Lu, Yilei Zhao, Jiwen Zhao

“…Based on the PSS, a fault pattern recognition algorithm, a bearing fault size prediction algorithm, and a RUL estimation algorithm are introduced to analyze the experimental signal. …”
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