Domain Adversarial Transfer Learning Bearing Fault Diagnosis Model Incorporating Structural Adjustment Modules by Zhidan Zhong, Hao Xie, Zhenxin Wang, Zhihui Zhang

“…Traditional bearing fault diagnosis methods are ineffective in diagnosing complex faults and mostly rely on the manual adjustment of hyperparameters. …”
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TICTAC: target illumination clinical trial analytics with cheminformatics by Jeremiah I. Abok, Jeremy S. Edwards, Jeremy J. Yang

“…IntroductionIdentifying disease–target associations is a pivotal step in drug discovery, offering insights that guide the development and optimization of therapeutic interventions. Clinical trial data serves as a valuable source for inferring these associations. …”
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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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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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Hardware-in-loop implementation of an adaptive MPPT controlled PV-assisted EV charging system with vehicle-to-grid integration by Surabhi Singh, Hari Om Bansal

“…Since the performance of the PV source is affected by varying temperatures and irradiance, MPPT methods are needed to extract maximum power from the PV source. …”
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Photon-pair generation in a lossy waveguide by Shin Woncheol, Park Kyungdeuk, Kim Hyeongpin, Lee Dongjin, Kwon Kiwon, Shin Heedeuk

“…In this study, propagation loss effects were examined using theoretical and experimental methods. In theory, the performance of quantum light sources, such as brightness, heralding efficiency, and coincidence-to-accidental ratio, strongly depend on propagation loss. …”
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Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…This method provides a scientific analytical approach for landscape design from macro to micro scales, helping form spatial structure optimization schemes based on bottom-up design concepts. …”
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Design and Finite Element Analysis of Brake Disc Heat Dissipation Rib for Urban Rail Transit Vehicle by WU Na, SONG Hao, YANG Jianwei, WU Chunguang, WANG Chengxu

“…[Result & Conclusion] Both the design schemes of the wheel-mounted straight-plate heat dissipation ribs and the axle-mounted cylindrical heat dissipation ribs significantly optimize the heat dissipation paths, improving the transfer efficiency of heat from the heat source to the external cooling medium. …”
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A Semianalytical Approach for Production of Oil from Bottom Water Drive Tight Oil Reservoirs with Complex Hydraulic Fractures by Shuhui Dai, Chunqiang Chen, Hao Wang, Zhaohui Fu, Dameng Liu

“…Based on the fractal theory, a semianalytical model is presented to simulate a complex fracture system by using the volumetric source method and superposition principle, and the solutions are determined iteratively. …”
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Real-Time LiDAR–Inertial Simultaneous Localization and Mesh Reconstruction by Yunqi Cheng, Meng Xu, Kezhi Wang, Zonghai Chen, Jikai Wang

“…Firstly, to reduce the odometry drift errors we use scan-to-map matching, and inter-frame inertial information is used to generate prior relative pose estimation for later LiDAR-dominated optimization. Then, based on the motivation that the unevenly distributed residual terms tend to degrade the nonlinear optimizer, a novel residual density-driven Gauss–Newton method is proposed to obtain the optimal pose estimation. …”
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Identification of Megaconstellations in Wide-field Astronomical Images with Machine Learning by Liu Liu, Rongyu Sun, He Zhao

“…Our method presented can be used as an auxiliary tool for reduction pipeline optimization and improving source measurements, and it deserves wide applications in similar tasks.…”
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Analysis and Calculation of Energy Storage Configuration in Power System by Yu DONG, Gaofeng FAN, Cun DONG, Ruoying YU, Junyi ZHAO

“…Starting from the overall operation demand of the power system, this paper summarized three key factors that should be considered for the energy storage configuration: the source-grid-load development, the replacement effect of energy storage on conventional units, and the comprehensive optimization of energy storage charging/discharging strategies. …”
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ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition. by David Koslicki, Saikat Chatterjee, Damon Shahrivar, Alan W Walker, Suzanna C Francis, Louise J Fraser, Mikko Vehkaperä, Yueheng Lan, Jukka Corander

“…<h4>Results</h4>There has been a recent surge of interest in using compressed sensing inspired and convex-optimization based methods to solve the estimation problem for bacterial community composition. …”
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Biodecaffeination by Pseudomonas pseudoalcaligenes TPS8, an Isolated Strain from Tea Plantation Soil by morahem Ashengroph, Sajad Ababaf

“…Thirteen bacterial strains, isolated from tea plantation soils in the north region of Iran, were screened to show their abilities in using caffeine as the sole source of carbon and nitrogen. The intrinsic tolerance of the isolated strains to the caffeine substrate was measured in a defined and complex medium by using the agar dilution method. …”
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Regenerative Braking in PV-Mounted Electric Vehicle With Reduced Switch VSI-Driven BLDC Motor and HAP-FUP Controller by Ron Carter S. B., Thangavel S.

“…Maximum energy is extracted from the PV module via employment of a particle swarm optimization (PSO)-based maximum power point tracking (MPPT) algorithm, while propulsion is provided through utilization of a brushless direct current (BLDC) motor driven by reduced switch voltage source inverter (VSI). …”
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LIO-GC: LiDAR Inertial Odometry with Adaptive Ground Constraints by Wenwen Tian, Juefei Wang, Puwei Yang, Wen Xiao, Sisi Zlatanova

“…By optimizing laser range factors, ground feature constraints, and loop closure factors using graph optimization frameworks, our method surpasses current approaches, demonstrating superior performance through evaluation on open-source and newly collected datasets.…”
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DialogueMLLM: Transforming Multimodal Emotion Recognition in Conversation Through Instruction-Tuned MLLM by Yuanyuan Sun, Ting Zhou

“…Carefully crafted structured prompts are used to align emotion semantics with dataset annotations, combined with Low-Rank Adaptation (LoRA) for parameter-efficient optimization. The method achieves a state-of-the-art weighted F1-score of 68.57% on the MELD benchmark. …”
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Unsupervised SAR Fine-Grained Ship Classification via Spherical Metric Refinement With Deep Subdomain Adaptation by Zhichao Han, Haitao Lang

“…Unsupervised domain adaptation (UDA) is a promising method for addressing the problem of SAR fine-grained ship classification in target domain with no labeled data available by leveraging a large number of labeled samples from source domains. …”
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The Influence of Activity-Based Costing and Just-in-Time on Efficiency Cost Production with Company Size as a Moderation Variable by Fri Medistya Anke Priyono

“…In competition, an increasingly growing industry, strict efficiency cost production has become important in increasing the Power competitiveness and profitability of companies. The ABC method is used for allocate cost based on actual activity​ consume source power, while JIT focuses on reducing waste and optimization production through management proper stock​ time.  …”
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Redesigning CMOS VLSI using Yosys synthesis tool by D. I. Cheremisinov, L. D. Cheremisinova

“…The goal of the work is to develop an approach to redesigning circuits using open source design automation software packages.Methods. …”
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