Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…This paper proposes a novel stock price forecasting model—the Variational Mode Decomposition—Triangulated Maximally Filtered Graph—Long Short-Term Memory (VMD–TMFG–LSTM) combined model—aimed at improving prediction accuracy, stability, and computational efficiency. The proposed model first employs Variational Mode Decomposition (VMD) to decompose the stock price time series into multiple smooth intrinsic mode functions (IMFs), reducing data complexity and mitigating noise interference. …”
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Robust and Adaptive UAVs-Based Localization Without Predefined NLoS Error Models by Ruhul Amin Khalil, Junaid Bahadar Khan, Asiya Jehangir, Nasir Saeed

“…A two-stage Robust Regression Algorithm (RRA) is employed, combined with an adaptive UAV selection strategy, ensuring both computational efficiency and precise positioning. …”
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A machine learning framework for predicting healthcare utilization and risk factors by Yead Rahman, Prerna Dua

“…A rigorous preprocessing pipeline ensured data integrity, while exploratory data analysis (EDA) guided feature selection, ultimately retaining 20 key variables to capture complex interactions. …”
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Systematic Review of Phase Aberration Correction Algorithms for Transcranial Focused Ultrasound by Mingyu Wang, Zhouyang Xu, Bingbing Cheng

“…However, the inhomogeneity and complex structure of the skull induce substantial phase aberrations and pressure attenuation; these can distort and shift the acoustic focus, thus hindering the efficiency of tFUS therapy. …”
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Improving battery safety and sustainability through testing material advances and industry developments by Zoltan Weltsch, Tibor Cseke, Robert Kun

“…By examining the interrelationships between material selection (cathode, anode), cell design, testing protocols and regulatory environment, the study highlights the complex challenges and development directions for battery energy storage. …”
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High-performance traffic volume prediction: An evaluation of RNN, GRU, and CNN for accuracy and computational trade-offs by Pranolo Andri, Saifullah Shoffan, Bella Utama Agung, Wibawa Aji Prasetya, Bastian Muhammad, Hardiyanti P Cicin

“…These findings highlight crucial trade- offs between accuracy and efficiency, underscoring the need for model selection aligned with specific application requirements. …”
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Vigorous technique for augmented lifetime in WSNs by Sardar Jaffar Ali, Javed Iqbal, Faheem Khan, Yeon-Kug Moon

“…Existing solutions often address energy efficiency in isolation, failing to consider the complex interplay of factors affecting WSN performance. …”
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CADA: A Flexible and Elastic DDoS Mitigation Architecture by Junrui Wu, Zhige He, Wenyong Wang, Haoran Luo, Shuisong Hu, Yu Miao, Yubo Li, Jun Deng

“…The rigidity of traditional hardware DDoS mitigation frameworks is insufficient for handling complex and varied DDoS attacks. To address this, we introduce the Cloud-native Anti-DDoS Architecture (CADA), which is designed to ensure flexibility and elasticity while enhancing the efficiency of DDoS attack mitigation. …”
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Maize Classification in Arid Regions via Spatiotemporal Feature Optimization and Multi-Source Remote Sensing Integration by Guang Yang, Jun Wang, Zhengyuan Qi

“…This study addresses the challenges of redundant crop identification features and low computational efficiency in complex agricultural environments, particularly in arid regions. …”
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The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence by Yang Pu, Hao Li, Wenjia Hou, Xingchen Pan

“…This work provides enterprises with an efficient and reliable decision-support tool, facilitating the maintenance of competitive advantages in complex and dynamic market environments.…”
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Application and evaluation of the technical condition of composite materials in aircraft and unmanned aerial vehicles by acoustic emission method of nondestructive testing by A. V. Popov, A. O. Samuylov, I. S. Cherepanov

“…An experiment was carried out to determine the strength limits of carbon fiber using a hardware and software complex by acoustic emission method. The research results are presented in the form of drawings projected by the hardware and software complex.Results. …”
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Tracking Oral Nanoparticle Uptake in Mouse Gastrointestinal Tract by Fluorescent Labeling and t-SNE Flow Cytometry by Rabeya Mow, Michal Kuczma, Xiaodi Shi, Didier Merlin, Chunhua Yang

“…By integrating optimized fluorochrome selection and gating strategies with advanced t-distributed stochastic neighbor embedding (t-SNE) analysis, this method enables precise identification and multidimensional visualization of LNP-targeted epithelial and macrophage populations under the complex conditions of inflamed colon tissue. …”
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Co-Optimization of the Hardware Configuration and Energy Management Parameters of Ship Hybrid Power Systems Based on the Hybrid Ivy-SA Algorithm by Qian Guo, Zhihang Fu, Xingming Zhang

“…A ship’s diesel–electric hybrid power system is complex, with hardware configuration and energy management parameters being crucial to its economic performance. …”
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Colonial bacterial memetic algorithm and its application on a darts playing robot by Szilárd Kovács, Csaba Budai, János Botzheim

“…CBMA incorporates features like multi-level clustering, dynamic gene selection, hierarchical population clustering, and adaptive co-evolutionary mechanisms, enabling efficient management of task-specific parameters and optimizing solution quality while minimizing resource consumption. …”
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<span style="font-variant: small-caps">DLMinTC+</span>: A Deep Learning Based Algorithm for Minimum Timeline Cover on Temporal Graphs by Giorgio Lazzarinetti, Riccardo Dondi, Sara Manzoni, Italo Zoppis

“…Existing heuristic and approximate methods, while effective in certain scenarios, struggle with capturing complex temporal dependencies and scalability in dense, large-scale networks. …”
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Evaluation of the APSIM common bean model using different cultivars and water-management scenarios by Seyedreza Amiri, Nader Zakeri, Tayebeh Yousefi

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Formation of Orthogonal Components of Input Currents in Microprocessor Protections of Electrical Equipment by F. A. Romaniuk, Yu. V. Rumiantsev, V. Yu. Rumiantsev, I. V. Novash

“…The evaluation of the efficiency of the proposed method was performed using a complex digital model implemented in the dynamic modeling environment MatLab-Simulink. …”
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AI-strategic game-theoretic analysis of haze management: A study on local government decision-making in China by Jafar Hussain, Benjamin Lev, Zhenyu Qiu, Xinting Ding, Jifan Ren, Jinyi Tian

“…This study provides actionable insights for policymakers seeking to optimize haze management in complex, multi-regional governance systems.…”
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Leveraging machine learning to proactively identify phishing campaigns before they strike by Kun Zhang, Haifeng Wang, Meiyi Chen, Xianglin Chen, Long Liu, Qiang Geng, Yu Zhou

“…These algorithms were chosen for their strong global search capabilities and adaptability to complex datasets, ensuring optimal parameter selection for improved model performance. …”
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Achievements and prospects of applying high-throughput sequencing techniques to potato genetics and breeding by I. V. Bykova, N. A. Shmakov, D. A. Afonnikov, A. V. Kochetov, E. K. Khlestkina

“…In recent years, marker-assisted selection (MAS) has been intensively used to increase potato breeding efficiency. …”
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