A sparse tensor generator with efficient feature extraction by Tugba Torun, Ameer Taweel, Didem Unat

“…Another challenge lies in analyzing sparse tensor features, which are essential not only for understanding the nonzero pattern but also for selecting the most suitable storage format, decomposition algorithm, and reordering methods. However, due to the large size of real-world tensors, even extracting these features can be computationally expensive without careful optimization. …”
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Discriminative fault diagnosis transfer learning network under joint mechanism by Yuxuan Yang, Jiarui Jing, Jian Zhang, Ziyu Liu, Xueyi Li

“…Abstract Unsupervised fault diagnosis methods for rotating machinery are gaining attention but face challenges such as feature extraction from vibration signals, aligning distributions between source and target domains, and managing domain shifts. …”
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Performance Efficiency of an Energy-Saving Mini Dryer with a Combined Heat Supply System by Umudvar R. Gasanov, Sevil A. Magerramova

“…In the first variant, the drying process was carried out only by the conductive method using the heat from a traditional energy source. …”
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The Capacity Configuration of a Cascade Small Hydropower-Pumped Storage–Wind–PV Complementary System by Bin Li, Shaodong Lu, Jianing Zhao, Peijie Li

“…Therefore, it is necessary to develop a capacity configuration method that improves the output stability of highly uncertain energy sources such as wind and photovoltaic (PV) power by integrating pumped storage units. …”
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Secure energy outage analysis of UAV swarm-based network. by Tien Hoa Nguyen, Hoang Vu Tran

“…To address these challenges, we propose two energy-efficient secure UAV selection methods aimed at optimizing the communication network's physical layer security. …”
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Uncertainty Measure for Multisource Intuitionistic Fuzzy Information System by Hong Wang, Hong Li

“…Firstly, the paper proposes an optimal source selection method. Secondly, we study the weighted generalized, weighted optimistic, and weighted pessimistic multigranularity intuitionistic fuzzy rough set models and uncertainty measurement methods in the multisource intuitionistic fuzzy information system, and we further study the relationship between the three models and related properties. …”
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Energetically self-sufficient robot group study kit by M. A. Rovbo, A. A. Malyshev

“…In addition to performing the target task, ancillary tasks such as maintaining the battery level, communication with other team members in a multi-agent system, should be considered in the control algorithm of the robot, which allows to study the distribution of priorities between these objectives, as shown in the example of multicriteria optimization. The prototype of the kit and its usage according to the described approach have been partially validated by conducting computational experiments with algorithms based on different search methods (random search, closest source and multi-criteria optimization methods), multi-agent paradigm and adaptive control which show a variety of possible approaches and illustrate the process of students' work. …”
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PREDICTIVE MODELS FOR EARLY DETECTION OF PARKINSON’S DISEASE: A MACHINE LEARNING APPROACH by S. Jeyantha Jafna Juliet, D. Jasmine David, J. S. Raj Kumar, Angelin Jeba P., R. Golden Nancy, M. Selvarathi, T. Jemima Jebaseeli

“…The proposed research applies a few Machine Learning ways to anticipate Parkinson's disease by human guidance, with the dataset acting as the source of the process understanding. By applying the hyperparameter optimization process, the accuracy is estimated. …”
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A snapshot of nutritional recommendations and management practices adopted by feedlot cattle nutritionists in Brazil in 2023 by Julia Gabrielle Monsalve, Danilo Domingues Millen

“…Regarding the grain processing used, the high-moisture re-hydrating and storage was chosen by 34.3% of participants, overcoming other methods of grain processing, such as grinding, which reflects the continuous search for starch optimization in the Brazilian feedlots. …”
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A Review of the Evaluation, Control, and Application Technologies for Drill String Vibrations and Shocks in Oil and Gas Well by Guangjian Dong, Ping Chen

“…Drill string vibrations and shocks (V&S) can limit the optimization of drilling performance, which is a key problem for trajectory optimizing, wellbore design, increasing drill tools life, rate of penetration, and intelligent drilling. …”
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LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity by Li Yan, Jiang Song, Hong Xie, Pengcheng Wei, Gang Li, Longze Zhu, Zhongli Fan, Shucheng Gong

“…Multi-view reconstruction of real-world scenes has been an important and challenging task. Although methods based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have made significant progress in rendering quality, there are still some limitations regarding the fidelity of geometric structures. …”
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Context-dependent similarity analysis of analogue series for structure–activity relationship transfer based on a concept from natural language processing by Atsushi Yoshimori, Jürgen Bajorath

“…Abstract Analogue series (AS) are generated during compound optimization in medicinal chemistry and are the major source of structure–activity relationship (SAR) information. …”
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Enhanced electric vehicle battery management system employing bat algorithm with chaotic diversification strategies by Batchu Veena Vani, Dharavath Kishan, Md Waseem Ahmad, Ch. Rama Prakasha Reddy

“…This article presents a method using the Bat Algorithm (BA) improved by chaotic diversification as well as social education to optimize the power source replacement and the electric vehicle charging procedure. …”
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Gas Chromatography/Atmospheric Pressure Chemical Ionization-Fourier Transform Ion Cyclotron Resonance Mass Spectrometry of Pyrolysis Oil from German Brown Coal by Jan Zuber, Marius M. Kroll, Philipp Rathsack, Matthias Otto

“…Development of this ultrahigh-resolving analysis method is described, that is, optimization of specific GC and APCI parameters and performed data processing. …”
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Energy-Efficient Dual-Iteration Power Allocation for Two-Phase Relay System with Massive Antennas by Long Zhao, Wei Xiang, Jie Mei, Hui Zhao, Hang Long, Lin Li

“…Since the EE optimization problem cannot be solved analytically, we propose a two-phase power allocation method. …”
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Simulation and Numerical Analysis of Energy-and-Ecological Compatibility of Indoor Plant Lighting by S. A. Rakutko, E. N. Rakutko

“…(Research purpose) Development of a simulation and analysis technique of energy-and-ecological compatibility of indoor plant lighting. (Materials and methods) The authors experimentally verifi ed the proposed technique for the indoor plant lighting of tomato seedlings grown under laboratory conditions with controlled environmental parameters. …”
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Smart Packet Delivery in Mobile Underwater Sensors Networks (M-CTSP) by Abdul Khan, Miguel-Angel Luque-Nieto, Ali Akbar Siddique

“…This research is focused on leveraging the Travelling Salesman Problem (TSP) to establish the optimal route of getting from a source node to a destination node in an underwater dynamic location. …”
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Implementation of public tasks in the light of responsibility for the effective spending of public funds by Zbigniew Tetłak

“…In the Public Finance Act (Article 44), the legislator linked the effectiveness of spending public funds with the effectiveness and optimization of the selection of methods for achieving set goals and the timely implementation of incurred obligations. …”
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Functional features of photosynthetic apparatus of modern high-yielding winter wheat varieties by В. В. Моргун, О. О. Стасик, Д. А. Кірізій, Г. О. Прядкіна

“…The superiority for grain productivity of modern high-yielding wheat varieties, originated from the Institute of Plant Physio­logy and Genetics, NAS of Ukraine, over varieties released before the “green revolution”, results from increased capacity and durability of functioning the crop photosynthetic apparatus, higher CO2 assimilation rate and optimization of source-sink relations in whole plant.…”
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AMMap tool for additive manufacturing design, alloy discovery, and path planning by Alexander M Richter, Adam M Krajewski, Zhening Yang, Allison M Beese, Zi-Kui Liu

“…To define and navigate the high order chemical systems of CCMs/FGMs, the open-source tool, AMMap, has been developed utilizing open models and CALPHAD methods for thermodynamic computation. …”
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