Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction. by Amal H Alharbi, Faris H Rizk, Khaled Sh Gaber, Marwa M Eid, El-Sayed M El-Kenawy, Ehsan Khodadadi, Nima Khodadadi

“…The proposed approach integrates binary feature selection and metaheuristic optimization into a unified optimization process, effectively balancing exploration and exploitation to handle complex, high-dimensional datasets. …”
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The integration of compressive sensing and clustering for date gathering in unmanned aircraft system–aided networks by Xiangmao Chang, Quan Wang, Zhiguo Qu, Yanchao Zhao

“…Moreover, most clustering schemes focus on the cluster head selection strategy and simplified the problem of cluster member selection, and most compressive sensing schemes are not integrated with the clustering strategy. …”
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A Remaining Useful Life Prediction Method for Rolling Bearings Based on Hierarchical Clustering and Transformer–GRU by Wenping Lei, Xing Dong, Fuyuan Cui, Guangzhong Huang

“…These results confirm that the proposed feature selection method effectively eliminates feature redundancy, enhances training efficiency, and reduces model complexity, while the hybrid model significantly improves prediction accuracy.…”
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SELF-CORRECTION OF TEACHERS’ PROFESSIONAL BURNOUT by T. F. Orekhova, T. G. Neretina, Т. V. Kruzhilina, P Ledeur

“…The advantage of all proposed methods and techniques, that form a complete correctional and preventive complex, consists in simplicity, availability, safety and efficiency in respect of achievement of a fast, positive, and really notable result; the elements can vary depending on individual needs and features of a personality. …”
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Fuzzy logic-controlled three-phase dynamic voltage restorer for enhancing voltage stabilization and power quality by Abu Shufian, Sowrov Komar Shib, Durjoy Roy Dipto, Md Tanvir Rahman, Nasif Hannan, Shaikh Anowarul Fattah

“…Unlike conventional algorithms, which struggle under fluctuating grid conditions and complex disturbances, FLC dynamically adjusts the output of DVR based on real-time reference and load voltage measurements. …”
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Research of MIP-HCO Model Based on k-Nearest Neighbor and Branch-and-Bound Algorithms in Aerospace Emergency Launch Missions by Xiangzhe Li, Feng Zhan, Jinqing Huang, Yan Chen

“…KNN classification approximates scheduling quality, reducing B&B complexity and accelerating convergence. Results from simulation data and experimental simulations confirm that the KNN + B&B hybrid strategy optimizes scheduling efficiency, enabling launch systems to respond swiftly under emergencies while maximizing mission effectiveness.…”
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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…QSVM employs quantum kernels to map data into a higher-dimensional Hilbert space, so that the model can detect complex patterns in MM drug resistance. qPCA reduces dimensionality without loss of important variance, and thus improves computation efficiency. …”
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Research Progress on Anti-floating Design of Underground Structures by WANG Sheng-li, DONG Shu-qing, HUANG Yu, SONG Zhi-han, WU Tong, ZHENG Shan-suo

“…Anti-floating design for slope buildings is more complex due to significant differences in upstream-downstream water levels. …”
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Both strands of siRNA have potential to guide posttranscriptional gene silencing in mammalian cells. by Jun-Xia Wei, Jie Yang, Ji-Feng Sun, Lin-Tao Jia, Yong Zhang, Hui-Zhong Zhang, Xia Li, Yan-Ling Meng, Li-Bo Yao, An-Gang Yang

“…Despite the widespread application of RNA interference (RNAi) as a research tool for diverse purposes, the key step of strand selection of siRNAs during the formation of RNA-induced silencing complex (RISC) remains poorly understood. …”
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SSR loci potentially associated with high amylopectine content in maize kernel endosperm by S. I. Vakula, O. A. Orlovskaya, L. V. Khotyleva, A. V. Kilchevsky

“…It was shown that not the individual allelic polymorphisms of the phi022, phi027, phi061 loci are efficient for the markerassociated selection of high-amylopectin maize, but their unique combinations.…”
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Advances in Beneficiation Processes for Low-grade Bastnaesite-associated Fluorite Resources by Wei YANG, Hongqi TAN, Xiaohong XIA, Zhiyuan XIE, Yingjiang ZHU, Qiang GONG, Yue HU

“…In China, bastnaesite type fluorite resources are primarily formed in rare earth deposits such as the Bayan Obo and Maoniuping regions, characterized by "low-grade, fine-grained dissemination, and complex mineral paragenesis". Traditional separation technologies face challenges due to the similar floatability of rare earth minerals and fluorite, as well as the poor selectivity of conventional reagents. …”
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Simulation and Analysis of Imaging Process of Phosphor Screens for X-Ray Imaging of Streak Tube Using Geant4-Based Monte Carlo Method by Zichen Wang, Riyi Lin, Yuxiang Liao, Lin Tang, Zhenhua Wu, Diwei Liu, Renbin Zhong, Kaichun Zhang

“…Meanwhile, merits such as the luminous efficiency of the selected phosphor, spatial resolution of the phosphor screen, and spatial resolution of the selected CCD sensor are analyzed. …”
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Machine learning enables legal risk assessment in internet healthcare using HIPAA data by Shixian Liu, Hailing Liu, Siyu Fan, Leming Song, Zeyu Wang

“…DNN demonstrates strong capabilities in handling complex nonlinear relationships, and XGBoost further improves classification accuracy by optimizing decision tree models through gradient boosting. …”
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Next-Generation Vaccine Platforms: Integrating Synthetic Biology, Nanotechnology, and Systems Immunology for Improved Immunogenicity by Majid Eslami, Bahram Fadaee Dowlat, Shayan Yaghmayee, Anoosha Habibian, Saeedeh Keshavarzi, Valentyn Oksenych, Ramtin Naderian

“…At the same time, nanotechnology enables precise antigen delivery and controlled immune activation through engineered nanoparticles such as lipid-based carriers, virus-like particles, and polymeric systems to improve stability, targeting, and dose efficiency. Systems immunology aids these advancements by analyzing immune responses through multi-omics data and computational modeling, which assists in antigen selection, immune profiling, and adjuvant optimization. …”
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Control system architecture of an intelligent agent based on a semiotic network by M. A. Rovbo, P. S. Sorokoumov

“…The topic is relevant because group control is a complex and important task with considerable practical value. …”
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Relational model of public-private partnership in railway transport by N. F. Sirina, V. P. Pershin

“…The results obtained are integrated into the software complex for innovative development of facilities and are tuned for transformation, effective use of the potential of partners, investors, performers and industry enterprises.…”
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Impact of active to inert shielding gas transition on the corrosion behavior of wire arc additively manufactured duplex stainless steel by Elina Akbarzadeh Chiniforoush, Tahereh Gholizadeh, Mohammad Reza Jandaghi, Johan Moverare, C.Hakan Gür

“…Active shielding gases are commonly used in arc welding to enhance arc stability and efficiency, which prompted their selection in this study. …”
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Influence of the rotation angles on the mechanical behavior of the one reci instrument by Renaud Giess, Éric Mortier, Marie Delanoë, Romain Hocquel, Jean-Marc Martrette, Rémy Balthazard, Marin Vincent

“…Abstract Aims The reciprocity is a complex endodontic kinematic involving many parameters. …”
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Application of a hybrid algorithm of LSTM and Transformer based on random search optimization for improving rainfall-runoff simulation by Wenzhong Li, Chengshuai Liu, Caihong Hu, Chaojie Niu, Runxi Li, Ming Li, Yingying Xu, Lu Tian

“…Abstract Flood forecasting using traditional physical hydrology models requires consideration of multiple complex physical processes including the spatio-temporal distribution of rainfall, the spatial heterogeneity of watershed sub-surface characteristics, and runoff generation and routing behaviours. …”
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…Experimental validation demonstrates superior classification accuracy compared to conventional decomposition–classification approaches in distinguishing complex mechanical anomalies, achieving a classification accuracy of 96.38%. …”
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