Modelling Electricity Price Expectations in a Day-Ahead Market: A Case of Latvia by Bobinaite Viktorija, Zuters Jānis

“…The forecast accuracy of models varies from high to low, since errors are 7.02 % to 59.23 %. The forecasting power of models for weekends is reduced; therefore, additional determinants of electricity price expectations should be considered in the models and advanced input selection algorithms should be applied in future research. …”
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Artificial intelligence in data storage systems by V. V. Zhilin, O. A. Safar'yan

“…Artificial intelligence with built-in machine-learning algorithms will provide responding to a situation that affects the state of the sys-tem. …”
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EEG Signal Analysis for Numerical Digit Classification: Methodologies and Challenges by Augoustos Tsamourgelis, Adam Adamopoulos

“…Electroencephalography (EEG) has existed since the early 20th century. It has proven to be a vital tool for electrophysiological studies of conditions like epilepsy. …”
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APOPTOSIS IN CITY SYSTEMS: A BIOMIMETIC APPROACH TO CITY REGENERATION by Stephen Ajadi

“…Aided with streamlined programmatic principles, computational and algorithmic design, city systems are studied in an African context. …”
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Detecting and Explaining Postpartum Depression in Real-Time with Generative Artificial Intelligence by Silvia García-Méndez, Francisco de Arriba-Pérez

“…Moreover, it addresses the black box problem since the predictions are described to the end users thanks to the combination of LLMS with interpretable ML models (i.e. tree-based algorithms) using feature importance and natural language. …”
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Adaptive Refinement of Segmented Object Contour Based on the Brightness of Neighboring Pixels Using the Ensemble Method by Vladyslav D. Koniukhov

“…Improving the accuracy of computer vision algorithms plays a significant role in the tasks of medical image segmentation. …”

Comparative Analysis of Biomechanical Variables in Marker-based and Markerless Motion Capture Systems by D. I. Guseinov

“…Markerless motion capture systems have incomparable advantages over marker-based ones.In particular, significantly reduced time costs for the registration and data processing procedures, since registration is represented by filming a video from different angles, and processing is accompanied by the use of software algorithms for tracking the silhouette of an athlete using a presetted computer avatar. …”
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Theoretical study of the influence of a variable ground resistance by position tracked chassis in motion by Goncharov K.A.

“…The examples show procedures for mathematical prediction of the physical and geometric characteristics of the movement of a tracked vehicle, the use of which in software algorithms of posi-tion control systems can help improve the accuracy of their operation.…”
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Telemedicine in Diabetic Retinal Screening: Pre- and Post-COVID-19 Challenges a New Perspective by Arshi Baig, Azhar Zafar

“…The image analysis by AI and deep-learning algorithms offers insight into the future of screening in diabetes. …”
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Numerical Reduced Variable Optimization Methods via Implicit Functional Dependence with Applications by Christopher Gunaseelan Jesudason

“…This work is more general than the reduction schemes for conditional linear parameters since it covers the nonconditional case as well and has potentially wide applicability.…”
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Mountain & Alpine Medicine by Tannheimer M, 2

“…Accidents during mountaineering are special because mountain rescue operations are time-consuming and material-intensive. Since even in Europe it takes a long time for professional help to reach the injured person, first aid rugulary has to be provided by the accompanying mountaineers. …”
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A Survey of Noninteractive Zero Knowledge Proof System and Its Applications by Huixin Wu, Feng Wang

“…Zero knowledge proof system which has received extensive attention since it was proposed is an important branch of cryptography and computational complexity theory. …”
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Features of insulin therapy in combination of long-term type 1 diabetes mellitus and metabolic syndrome by M. D. Samsonova, N. P. Trubitsyna, A. S. Severina, M. S. Shamkhalova

“…Despite four options for algorithms and choice of insulin therapy, the difficult task of switching to the insulin resistance (IR) scheme due to the impossibility of using drugs from the biguanide and glitazone group, since their use in T1DM is not provided for by the instructions. …”
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Adaptive Backstepping Fuzzy Neural Network Fractional-Order Control of Microgyroscope Using a Nonsingular Terminal Sliding Mode Controller by Juntao Fei, Xiao Liang

“…The proposed control scheme requires no prior knowledge of the unknown dynamics of the microgyroscope system since the fuzzy neural network is utilized to approximate the upper bound of the lumped uncertainties and adaptive algorithms are derived to allow online adjustment of the unknown system parameters. …”
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Learning Fourier series with parametrized quantum circuits by Dirk Heimann, Hans Hohenfeld, Gunnar Schönhoff, Elie Mounzer, Frank Kirchner

“…Variational quantum algorithms (VQAs) and their applications in the field of quantum machine learning through parametrized quantum circuits (PQCs) are thought to be one major way of leveraging noisy intermediate-scale quantum computing devices. …”
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Performance Analysis of Machine Learning Classifiers for Brain Tumor MR Images by Lubna Farhi, Razia Zia, Zain Anwar Ali

“…Our approach is to examine and compare various machine learning classification algorithms that help in brain tumor classification of Magnetic Resonance (MR) images. …”
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Classifying horse activities with big data using machine learning by Derya Birant, Emircan Tepe

“… Using big data-assisted machine learning methods in animal science has received increasing attention in recent years since they extract useful insights from large-scale animal datasets. …”
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Classical simulability of constant-depth linear-optical circuits with noise by Changhun Oh

“…A possible approach to minimize the noise effect is to employ shallow-depth quantum circuits since noise typically accumulates as circuit depth grows. …”
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Effective Stochastic Modeling of Energy-Constrained Wireless Sensor Networks by Ali Shareef, Yifeng Zhu

“…However, new emerging optimal energy consumption algorithms, protocols, and system designs require an evaluation platform. …”
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Artificial Intelligence in Cardiovascular Diagnosis: Innovations and Impact on Disease Screenings by Amber Ahmad, Sahil Ahmad, Rida Ahmad, Jahnavi Bodi, Abdulla Mohamed, Ahmad Wasim

“…AI based ECG interpretation, for example, CNNs, has been used in CVDs, since early identification is essential; algorithms may help detect high-risk individuals, including asymptomatic patients. …”
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