Algorithmic support of the adaptive system of controlled flight into terrain avoidance (CFITA) by A. N. Akimov, V. A. Voloshin, A. A. Supryga

“…The first group (the full SFITA mode) uses the maximum digital cartographic information (DCI) about the terrain. …”
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Joint optimal placement, routing, and energy allocation in wireless sensor networks with a shared energy harvesting module by Yin Wu, Wenbo Liu, Qian Shen

“…Our aim is to find optimal solutions for three problems: (1) the minimum number of nodes needed for deployment, (2) the most efficient path from each node to the sink, and (3) the maximum network utility under energy harvesting constraints. …”
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Uncertainty-driven active learning in a deep semi-supervised framework for WCE image classification by Prabhanantha Kumar Muruganantham, Senthil Murugan Balakrishnan

“…To reduce model uncertainty, batch acquisition selects the most informative samples from an unlabelled data pool based on minimum redundancy and maximum predictive entropy. …”
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D-Band 4.6 km 2 × 2 MIMO Photonic-Assisted Terahertz Wireless Communication Utilizing Iterative Pruning Deep Neural Network-Based Nonlinear Equalization by Jingwen Lin, Sicong Xu, Qihang Wang, Jie Zhang, Jingtao Ge, Siqi Wang, Zhihang Ou, Yuan Ma, Wen Zhou, Jianjun Yu

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Predict the performance of hydrogen fueled vehicle and their refueling station through the data analysis based approach by Vikas Khare, Monica Bhatia

“…A significant negative correlation (r = −0.56) between hydrogen consumption and maximum vehicle range is identified, highlighting that improved hydrogen efficiency directly extends travel range. …”
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Computational Modeling of Ganglion Cell Bicolor Opponent Receptive Fields and FPGA Adaptation for Parallel Arrays by Hui Wei, Wenbo Yao

“…We model the visual system at a fine-grained level to ensure efficient information transmission while minimizing energy use. …”
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Evaluation of the combined impact of injection pressure and EGR on a diesel engine running on waste-recovered plastic biodiesel for environmental benefits by N. Balaji, Beemkumar Nagappan, Devanshu J. Patel, Satish Choudhury, Dhruv Kumar, Krishna Kumar Shukla, Kamakshi Priya K

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A Novel CTC-Binding Probe: Enzymatic vs. Shear Stress-Based Detachment Approaches by Sophia Krakowski, Sara Campos, Henri Wolff, Gabi Bondzio, Felix Hehnen, Michael Lommel, Ulrich Kertzscher, Paul Friedrich Geus

“…<b>Background/Objectives</b>: Liquid biopsy is a minimally invasive alternative to tissue biopsy and is used to obtain information about a disease from a blood sample or other body fluids. …”
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Fairness-Oriented Charging Station Location Optimization Driven by Deep Reinforcement Learning by Siyue Yuan, Jiaying Fu, Xiaoyin Ma

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Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

“…However, the amount of information contained in digital image files is growing year after year. …”
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Structural and electrochemical investigation of benzimidazole picolinic acid derivatives for sustainable energy storage applications by P. Divya, A. Amala Jeya Ranchani, Hijaz Ahmad, V. S. Jeba Reeda, Taha Radwan, Divya Haridas

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A deep learning framework for probabilistic dynamic cable rating in offshore HVDC systems by Shen Yan, Mohamad Ghaffarian Niasar, Marjan Popov

“…The effective prediction of dynamic cable ratings (DCR) in the HVDC cable is pivotal for enhancing transmission efficiency and maximizing electricity sales in offshore wind farms. …”
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GREEN DUAL-CHANNEL SUPPLY CHAIN MODEL WITH CONSIDERING PRODUCT RETURNS AND REMANUFACTURING PROCESS by Cynthia Rizky Amelia, Ririn Setiyowati, Sutanto Sutanto

“…To provide solutions to these conditions, centralization scenario is used to determine the optimal solution so that maximum profit is obtained. Based on the analysis, it shows that changes in price elasticity and product returns cause system profits to get smaller, while changes in price elasticity and energy efficiency levels cause system profits to get bigger.…”
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EFFECT OF LOCALLY ISOLATED SCENEDESMUS SP. TN1 ON BIOMASS PRODUCTION AND NUTRIENT REMOVAL FROM COOKING COCOON WASTEWATER: EFFECTS OF INITIAL ALGAL CELL DENSITY AND TEMPERATURE by Thi Anh Tu Le

“…The maximum biomass production and nutrient removal efficiencies of Scenedesmus sp. …”
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FIXED ASSETS AS AN ELEMENT OF THE PRODUCTION POTENTIAL OF THE AGRICULTURAL SECTOR IN REGIONS by Olga LAVRINA, Elena SHIROKOVA, Irina SHPAGINA, Valeria MAGERA

“…In the group with the highest capital ratio (5 million rubles or more of fixed assets per 100 hectares of agricultural land), the maximum return on fixed assets is 5.5% and the profitability of production is 17.9%. …”
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Knock Detection in Spark Ignition Engines Base on Complementary Ensemble Empirical Mode Decomposition-Hilbert Transform by Fengrong Bi, Teng Ma, Jian Zhang, Lin Li, Chunfang Shi

“…In spark ignition engines, knock onset limits the maximum spark advance. An inaccurate identification of this limit penalises the fuel conversion efficiency. …”
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On Accelerated Degradation of DC-Link Film Capacitors and Data-Based Lifetime Estimation by Angel Pena-Quintal, Uvais Mustafa, Chris Gerada, Md Rishad Ahmed

“…The temperature of the capacitor is set at a maximum rated level (from the manufacturer information) to assess an accelerated degradation, to address the physics of failure for these film capacitors and to propose a lifetime estimation method for them.…”
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A feature enhancement FCOS algorithm for dynamic traffic object detection by Tuqiang Zhou, Wei Liu, Haoran Li

“…First, the dynamic convolution module was designed in the backbone network to identify different object features to the maximum extent. Second, a dual attention module was designed to filter object feature information while reducing the amount of computation. …”
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Power Scaling for Spatial Modulation with Limited Feedback by Yue Xiao, Qian Tang, Lisha Gong, Ping Yang, Zongfei Yang

“…Spatial modulation (SM) is a recently developed multiple-input multiple-output (MIMO) technique which offers a new tradeoff between spatial diversity and spectrum efficiency, by introducing the indices of transmit antennas as a means of information modulation. …”
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YOLOv10n-Based Defect Detection in Power Insulators: Attention Enhancement and Feature Fusion Optimization by Zhihao Wei, Yan Wei

“…The Concat module in Neck is replaced by a two-way weighted feature fusion mechanism, which constructs a top-down and bottom-up two-way information flow, reduces the loss of cross-layer information, and significantly enhances the model&#x2019;s ability to detect multi-scale defects, such as insulator cracks and fouling, and especially improves the resolution of details of small targets in long-distance shooting scenarios. …”
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