POQ: Is There a Pareto-Optimal Quantization Strategy for Deep Neural Networks? by Floran De Putter, Sherif Eissa, Henk Corporaal

“…This work presents a Pareto-Optimal Quantization (POQ) methodology aimed at mapping a neural network architecture to a specific hardware platform while systematically exploring the design space in between to identify the most effective quantization strategy. …”
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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…To address this instability, an optical diffusion CMFD method (odCMFD) strategy was implemented to optimize the original CMFD formulation based on cylindrical geometry. …”

A Review of Task Multi-criteria Prioritization Methods by PAN Zheping, ZOU Gui, ZHAO Jun, CHENG Weizheng

“…Additionally, it discusses in detail the basic principles, implementation steps, latest research findings, and pros and cons of representative methods within each category. Finally, this paper summarizes current research hotspots, including the analytic hierarchy process, fuzzy theory, and AI-assisted ranking technologies, while suggesting future research pathways covering AI-assisted big data ranking optimization, ranking stability enhancement, and intelligent preference identification.…”
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Research on optimal strategy of different fire rescue tasks based on oxygen consumption by Jinyong Tang, Jinyong Tang, Xinxin Zhang, Ziwen Wang, Tiehuai Liang, Weiguo Liu

“…Therefore, this study aimed to identify the optimal rescue strategy by analyzing oxygen consumption across different rescue tasks.MethodsSixty male firefighters from the Guilin Fire and Rescue Detachment participated in the study. …”
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Multidimensional Resource Task Scheduling Based on Particle Swarm Optimization in Edge Computing by Zhonglu Zou, Zhuxin Zhai, Xin Yan, Zilin You, Liming Chen

“…It primarily focuses on the instantaneous utilization of CPU and memory while neglecting the coordinated optimization of disk I/O and network bandwidth, resulting in an imbalance in cluster resource utilization, commonly known as the bottleneck effect. …”
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Optimal Zero-Defect Solution for Multiple Inspection Items in Incoming Quality Control by Wenqing Zhou, Yufeng Chen

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Data-driven network intrusion detection using optimized machine learning algorithms by Dauda Adeite Adenusi, Oladosu Oyebisi Oladimeji, Theopilus Adekunle Oyekola, Korede Solomon Olagunju

“…Comparative analysis with existing approaches, including deep learning methods, shows that our optimized tree-based models achieve comparable or superior performance while maintaining computational efficiency. …”
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Integrated Approach to Optimizing Selection and Placement of Water Pipeline Condition Monitoring Technologies by Diego Calderon, Mohammad Najafi

“…This article introduces a unified framework and methods for optimally selecting condition monitoring technologies while locating their deployment at the most vulnerable pipe segments. …”
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Comparative evaluation of anesthesia methods for reconstructive carotid surgery by M. I. Neymark, V. V. Shmelyov, Z. A. Titova, S. A. Khaustova, B. A. Shadymov

“…CE was performed in 140 (73.6%) patients, while 50 (26.4%) patients underwent plasty with the autovenous patch. 60 patients had total intravenous anesthesia. …”
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The Shrinking of Beijing and the Rising of Xiong’an: Optimize Population Migration in terms of Transport Service by Hongzhi Lin

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GAAOA-Lévy: a hybrid metaheuristic for optimized multilevel thresholding in image segmentation by Eman Mahmoud, Salem Alkhalaf, Tomonobu Senjyu, Masahiro Furukakoi, Ashraf Hemeida, Ghada Abozaid

“…Experimental results demonstrate that GAAOA-Lévy outperforms existing methods in terms of Peak Signal-to-Noise Ratio (PSNR), computational efficiency, and convergence speed, particularly excelling in three-level thresholding while reducing computational costs for higher thresholds.…”
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Bias-field digitized counterdiabatic quantum algorithm for higher-order binary optimization by Sebastián V. Romero, Anne-Maria Visuri, Alejandro Gomez Cadavid, Anton Simen, Enrique Solano, Narendra N. Hegade

“…While classical computing often struggles with complex instances, quantum optimization emerges as a promising alternative. …”
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Multi-objective layout optimization of hospital outpatient clinics based on NSGA II by Yanlin Zhao, Jiamei Gu

“…The results show that the new plan reduces patient walking distance by 57.2%, shortens waiting time by 59%, and enhances medical staff collaboration efficiency, while only increasing costs by 5.6%. This demonstrates the effectiveness and feasibility of the improved NSGA-II method in handling complex multi-objective optimization problems for outpatient layouts. …”
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Optimizing water management in greenhouse farming through an IoT-enabled monitoring system by Abdelrahman A. El-Sheshny, Amal M. Abdel-Hameed, M. A. Al-Rajhi, Hamed G. Ghanem, Taha M. Elzanaty, Mostafa H. Fayed

“…Green bean yield significantly varied between irrigation methods. SDI yield ranged from 25.425 to 28.719 $${\text{t ha}}^{-1}$$ t ha - 1 , with the highest (28.719 $${\text{t ha}}^{-1}$$ t ha - 1 ) at 80% CWR (T3). while the SSDI yield ranged from 24.390 to 33.614 $${\text{t ha}}^{-1}$$ t ha - 1 , with the maximum 33.614 $${\text{t ha}}^{-1}$$ t ha - 1 recorded under 80% CWR (T4). …”
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Optimized design of high-strength leaf chain based on response surface methodology by LIU Meiqi, FENG Zengming, ZHOU Zhidi

“…MOGA was then applied for multi-objective optimization targeting both fatigue life and maximum stress.ResultsAfter optimization, the fatigue life of the BL634 leaf chain increased from 2.25×10⁶ to 1.34×10⁷ cycles, representing a 495.6% increase, while the maximum equivalent stress decreased by 11.6% to 632.96 MPa. …”
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De-speckling of medical ultrasound image using metric-optimized knowledge distillation by Mostafa Khalifa, Hanaa M. Hamza, Khalid M. Hosny

“…This noise varies with image intensity, which limits the effectiveness of traditional denoising methods. We introduce the Metric-Optimized Knowledge Distillation (MK) model, a deep-learning approach that utilizes Knowledge Distillation (KD) for denoising ultrasound images. …”
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Choosing the optimal dilution medium for pooled platelet concentrates, thawed after cryopreservation by M. S. Makarov, M. V. Storozheva, N. V. Borovkova, A. Yu. Bulanov, I. N. Ponomarev

“…Background. The current methods of cryopreservation, working with pooled platelet concentrates (PPC), require optimization. …”
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Optimization of The Budget of The Industrial Complex Transformation Strategy Based on Neural Network Modeling by A. G. Boev, A. G. Puzakov, Yu. P. Anisimov

“…A methodological technique has been developed that allows choosing the optimal option for allocating the strategy budget funds between the key areas of transformation of the industrial complex, characterized by the use of neural network modeling technologies and providing the greatest increase in revenue and labor productivity while maintaining the financial and economic stability of the enterprise. …”
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Transforming nursing education: the power of educational leadership in optimizing time management and competency by Shaimaa Mohamed Amin, Ahmed Abdelwahab Ibrahim El-Sayed, Ahmed Abdellah Othman, Ahmed Salah Ali, Nagwa Ibrahim ELfeshawy, Hanan Hosni El-Sherbini, Abeer Abdel Fattah Mahmoud, Mohamed Hussein Ramadan Atta

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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

“…The proposed model enhances the structural expressiveness of the sparse component while preserving the global low-rank structure. To solve the resulting optimization problem efficiently, we develop a tailored algorithm based on operator splitting techniques, significantly improving computational efficiency without sacrificing accuracy. …”
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