Mathematical modeling of physical processes in test complexes of electric machines by D. I. Popov

“…The practical value of the obtained mathematical models is that they can be used in the design process of new test complexes to determine the necessary parameters of the equipment at the known parameters of the tested motors, as well as to simulate transition process in the electrical circuits of the test scheme in order to virtual check of possible algorithms for setting the load.…”
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Pairing Optimizations for Isogeny-Based Cryptosystems by Shiping Cai, Kaizhan Lin, Chang-An Zhao

“…We use (modified) Jacobian coordinates and present new algorithms for Miller function computations to compute pairings of order 2∙ and 3∙. …”
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Texture mapping of warp knitted shoe upper based on ARAP parameterization method by Guilong Cheng, Aijun Zhang, Yanting Zhang

“…Additionally, discrete harmonic and parametric optimization unfolding algorithms are employed to enhance texture mapping quality. …”
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A computing allocation strategy for Internet of things’ resources based on edge computing by Zengrong Zhang

“…Second, a dynamic offloading scheduling algorithm based on Q -learning is proposed based on the optimization problem. …”
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Design and Implementation of a New Fast and Efficient MPPT Controller under Different Solar Irradiance Conditions by K. Padmanaban, A. Shunmugalatha, M. S. Kamalesh

“…This work proposes a novel slime mould algorithm- (SMA-) based MPPT controller to utilise maximum peak power (MPP) from solar PV systems during uniform irradiance conditions (UC) and nonuniform irradiance conditions (NUC). …”
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Job Scheduling with Efficient Resource Monitoring in Cloud Datacenter by Shyamala Loganathan, Saswati Mukherjee

“…Finally, we conducted simulations using CloudSim and compared our algorithm with other existing methods, like V-MCT and priority scheduling algorithms.…”
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Model pruning techniques in the Internet of things: state of the art, methods and perspectives by ZHAO Junhui, LI Huaicheng, WANG Dongming, LI Jiamin, ZHOU Yiqing, SHU Feng

“…In the context of the rapid development of Internet of things (IoT) technology, IoT devices faced challenges in running complex artificial intelligence (AI) algorithms, especially deep learning models, due to the limitations of computing power, storage space, communication bandwidth, and battery life. …”
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The Necessity for Information Space Mapping for Information Retrieval on the Semantic Web by Gregory B. Newby

“…When the match is less precise, sets of rules or algorithms may be employed to map between information spaces. …”
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Optimizing the performance of a server-based classification for a large business document flow by O. A. Slavin

“…This paper describes the performance optimization technology for the implemented classification algorithm. Servers with Intel CPUs were used for the algorithm execution. …”
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Integral Sliding Mode and Integral Supertwisting Sliding Mode Control for Ship Course-Keeping by Muhammad Munir Butt, Azhar Iqbal Kashif Butt, Iftikhar Ahmad

“…This paper proposes variable structure-based nonlinear control algorithms, including synergetic, terminal synergetic, integral sliding mode, and integral supertwisting sliding mode controllers, for ship course-keeping. …”
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Scilab-RL: A software framework for efficient reinforcement learning and cognitive modeling research by Jan Benad, Frank Röder, Manfred Eppe

“…Many open source implementations of current RL algorithms exist, but there is a lack of a modular suite of tools combining different robotic simulators and platforms, data visualization, hyperparameter optimization, and baseline experiments. …”
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Digital Image Forgery Detection Using JPEG Features and Local Noise Discrepancies by Bo Liu, Chi-Man Pun, Xiao-Chen Yuan

“…In this paper, we proposed an integrated algorithm which was able to detect two commonly used fraud practices: copy-move and splicing forgery in digital picture. …”
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Towards an optimization of catheter guidance in vascular surgery: A comparative analysis of the contribution of reinforcement learning by Cheima Bouden

“…Future research should aim to refine these algorithms for wider clinical use and integration.…”
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Information limits and Thouless-Anderson-Palmer equations for spiked matrix models with structured noise by Jean Barbier, Francesco Camilli, Yizhou Xu, Marco Mondelli

“…However, existing studies either provide suboptimal algorithms or are limited to a special class of noise ensembles. …”
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Cell Area-Based Method for Analyzing the Coverage Capacity of Satellite Constellations by Zhiming Song, Haidong Liu, Guangming Dai, Maocai Wang, Xiaoyu Chen

“…The classical net point method is one of the most commonly used algorithms in resolving this problem, indicating that the computation efficiency significantly depends on the high-precision requirement. …”
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H.264 SVC Complexity Reduction Based on Likelihood Mode Decision by L. Balaji, K. K. Thyagharajan

“…In this paper, to reduce encoding time and computational complexity, a fast mode decision algorithm based on likelihood mode decision (LMD) is proposed. …”
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A New Optimization via Simulation Approach for Dynamic Facility Layout Problem with Budget Constraints by Parham Azimi, Hamid Reza Charmchi

“…The results show that the proposed algorithm is more efficient in terms of speed and accuracy than other heuristic algorithms presented in previous works.…”
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Evaluation of Novel AI Architectures for Uncertainty Estimation by Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja

“…This paper delineates key considerations for using HPC in uncertainty estimations in DL, offering insights that guide the integration of algorithms and hardware for robust DL applications, especially in computer vision. …”
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Computational intelligence in the identification of Covid-19 patients  by using KNN-SVM Classifier by shaymaa adnan

“…We applied Principal Component Analysis (PCA) and Histogram of Gradients (HOG) as extract features. while we conducted a classification process using K nearest neighbors (KNN) and Support Vector Machine (SVM) algorithms .  Results showed that the classification accuracy with SVM for Covid-19 identification is 88.54% while with KNN is 82.31% …”
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Modern Challenges for Oil and Gas Education by V. G. Martynov, V. N. Koshelev, A. V. Dushin

“…The article concludes that the challenges of the pandemic to higher education made it possible to find algorithms for interaction between students and teachers in the online environment, showed the need to improve the methodological qualifications of teachers, motivational and psychological support for participants in the educational process, accelerate the development of digital resources.…”
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