Implementing and Evaluating an Heterogeneous, Scalable, Tridiagonal Linear System Solver with OpenCL to Target FPGAs, GPUs, and CPUs by Hamish J. Macintosh, Jasmine E. Banks, Neil A. Kelson

“…The oclspkt routine is a heterogeneous OpenCL implementation of the truncated SPIKE algorithm that can use FPGAs, GPUs, and CPUs to concurrently accelerate the solving of diagonally dominant tridiagonal linear systems. …”
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Detection of Access Point Spoofing in the Wi-Fi Fingerprinting Based Positioning by Juraj Machaj, Clément Safon, Slavomír Matúška, Peter Brída

“…In this paper filtering algorithms are proposed to minimize the impact of access point spoofing. …”
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Entropy Based Parameter Estimation of 2D Gaussian Filter for Image Speckle Noise Removal by Zahra Hosseini, Mohammadreza Hassannejad Bibalan

“…In this paper, a speckle noise suppression algorithm based on the 2D Gaussian filter is addressed, which employs entropy to estimate the filter's variance effectively. …”
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Scientific summarizing of the results of expert evaluation of anticancer drugs for the treatment of gastric and colorectal cancer by A. S. Nemchenko, S. O. Zharkova, M. V. Podgaina

“…The authors had developed an algorithm for expert evaluation of anticancer drugs used in pathogenetic therapy of stomach cancer and colorectal (rectal) cancer. …”
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Methodological levels of research the post-industrial development of the city by Olha Suptelo

“…Since the middle of the twentieth century, most countries of the world are in a phase of significant socio-economic transfor-mations. …”
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Innovative Hardware Accelerator Architecture for FPGA-Based General-Purpose RISC Microprocessors by Ehsan Ali

“…Numerous RC architectures have been proposed since the 1960s, but all are struggling to become mainstream. …”
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Deep convolutional neural network for quantification of tortuosity factor of solid oxide fuel cell anode by Masashi KISHIMOTO, Yodai MATSUI, Hiroshi IWAI

“…The DCNN model is first trained using synthetic three-dimensional (3D) structure datasets generated by either a generative adversarial network (GAN) or a simple sphere-packing algorithm. Validation of the trained DCNN model is performed by applying it to the analysis of real Ni-YSZ anode structure datasets obtained by focused ion beam scanning electron microscopy (FIB-SEM). …”
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Modern concept of treatment of patients with ventral hernias by P. N. Romashchenko, Al. A. Kurygin, V. V. Semenov, S. A. Prudieva, A. A. Mamoshin

“…The relevance of treating patients with hernias of the anterior abdominal wall is beyond doubt, since the incidence of the disease is on average 5 people per 1000, and hernioplasty itself is one of the most common operations in a general surgical hospital. …”
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Construction Concrete Price Prediction Based on a Double-Branch Physics-Informed Neural Network by Kaier Shi, Ruiqing Han, Zhipeng Li, Pan Guo

“…In particular, this model utilizes an Artificial Neural Network (ANN) as the baseline algorithm and incorporates physical constraints, such as a Multiple Linear Regression (MLR) model and a Vector Error Correction Model (VECM) to modify the loss function. …”
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Potential of Graphic Organizers in Developing Communicative Competence in Learning Russian as a Foreign Language by Sharofat T. Chorieva

“…In scientific literature, the potential of graphic organizers has not been sufficiently considered, since they are most often described without completed samples. …”
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Functionally-Equivalent Formalization and Automated Model Checking of Function Block Diagrams by Tomas Ausberger, Karel Kubicek, Pavla Medvedcova

“…Model checking is a method of formal verification which can be used to prove whether a formal model satisfies its formal requirement. Since algorithms of I&C systems are generally informal, they can not be verified by model checking directly, but they must be carefully translated. …”
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Increasing the Speed of Fractal Image Compression Using Two-Dimensional Approximating Transformations by Maydaniuk V. P., Arseniuk I. R., Lishchuk O. O.

“…Fractal image compression algorithm is known for allowing very high compression rates (the best examples – up to 1 000 times with acceptable visual quality) for real photos of natural objects, which is not possible for other lossy compression methods. …”
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Synergistic feature selection and distributed classification framework for high-dimensional medical data analysis by D. Dhinakaran, L. Srinivasan, S. Edwin Raja, K. Valarmathi, M. Gomathy Nayagam

“…In order to overcome these drawbacks, the new integrated algorithm is presented here: Synergistic Kruskal-RFE Selector and Distributed Multi-Kernel Classification Framework (SKR-DMKCF). …”
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A Distributed RF Threat Sensing Architecture by Georgios Michalis, Andreas Rousias, Loizos Kanaris, Akis Kokkinis , Pantelis Kanaris , Stavros Stavrou

“…The incorporation of the centralized SOC in the overall architecture allows also the centralized application of machine learning algorithms on all the received data.…”
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Efficient Parallel Carrier Recovery for Ultrahigh Speed Coherent QAM Receivers with Application to Optical Channels by Pablo Gianni, Laura Ferster, Graciela Corral-Briones, Mario R. Hueda

“…Such carrier frequency fluctuations must be compensated since they lead to higher phase error variance in traditional feedforward CPR techniques, significantly degrading the receiver performance. …”
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Verification of the person’s dynamic signature on a limited number of samples by V. V. Starovoitov

“…In the process of research, a number of secondary functions-features were selected and calculated from them. Since these data sets have different lengths, the dynamic time warping algorithm is used to compare them. …”
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Surgical treatment of facet syndrome in segmental instability of the lumbar spine by A. P. Zhivotenko, Z. V. Koshkareva, A. V. Gorbunov, V. A. Sorokovikov

“…In this connection, for the timely and correct determination of the diagnosis of all patients with chronic pain syndrome in the lumbar spine, it is necessary to be sent to specialized neurosurgical institutions, in which patients undergo a set of necessary medical and diagnostic procedures to determine the further management tactics and treatment algorithm for this category of patients.…”
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Relocation of Moderate-to-small Earthquakes in and Around Hainan Island by Yunfei GUO, Jianshe LEI, Penghu GUAN

“…The double-difference algorithm was used for relocation, and eventually, the high-quality source parameters of 313 earthquakes were obtained. …”
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Metaheuristic optimization of extreme gradient boosting machine for enhanced prediction of lateral strength of reinforced concrete columns under cyclic loadings by Phu-Anh-Huy Pham, Nhat-Duc Hoang

“…The extreme gradient boosting machine (XGBoost) is employed to establish a predictive relationship between the lateral strength of RC columns and their influencing factors. Since model selection is critical for constructing a reliable prediction mode, this study relies on utilizing metaheuristic approaches, including Genetic Algorithm, Particle Swarm Optimization, Artificial Bee Colony, and Ant Colony Optimization, to optimize the performance of the XGBoost model. …”
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Robust Extrinsic Calibration for LiDAR-Camera Systems via Depth and Height Complementary Supervision Network by Chen Yaqing, Wang Huaming

“…Since it requires no targets or human effort, Co-CalibNet can be seamlessly integrated into any LiDAR-camera architecture, suggesting significant value and broad application prospects in autonomous driving systems.…”
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