Input/Output analysis and optimization for GRAPES regional model by Yang Bin, Wang Jingyu, Liu Weiguo, Cai Huiyi, Yu Fei, Deng Liantang, Huang Liping

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Research on mechanisms for optimizing the risk resistance capability of hypernetworks by Lei Chen, Xiujuan Ma, Fuxiang Ma, Yalan Li

“…The results showed that these optimization mechanisms also improved the risk resistance of NW hypernetworks and BA ordinary networks, especially in the BA ordinary network, where the BIP could reach up to 73%. …”
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Global–Local Cooperative Optimization in Photonic Inverse Design Algorithms by Mingzhe Li, Tong Wang, Yi Zhang, Yulin Shen, Jie Yang, Ke Zhang, Dehui Pan, Ming Xin

“…Compared to the conventional Direct Binary Search (DBS), the GLINT algorithm not only significantly enhances computational efficiency through its global search–local refinement framework but also achieves a superior 20 nm × 20 nm optimization resolution while maintaining its optimization speed—substantially advancing the design capability. …”
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A Novel Graphical Technique for Combinational Logic Representation and Optimization by Vedhas Pandit, Björn Schuller

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Two-Stage Combined Model for Short-Term Electricity Forecasting in Ports by Wentao Song, Xiaohua Cao, Hanrui Jiang, Zejun Li, Ruobin Gao

“…Accurate electricity load forecasting is crucial for understanding power usage and optimizing energy allocation. This study introduces a novel approach that transcends the limitations of single prediction models by employing a Binary Fusion Weight Determination Method (BFWDM) to optimize and integrate three distinct prediction models: Temporal Pattern Attention Long Short-Term Memory (TPA-LSTM), Multi-Quantile Recurrent Neural Network (MQ-RNN), and Deep Factors. …”
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Rapid Prototyping of a Dammann Grating in DMD-Based Maskless Lithography by Qi Zheng, Jinyun Zhou, Qiming Chen, Liang Lei, Kunhua Wen, Yiming Hu

“…Consequently, a Dammann grating with a 50% diffraction efficiency is successfully fabricated, which can not only guarantee the precision but also maintain the fabrication speed. This work demonstrates the potential of this method to rapidly and directly manufacture binary optical elements or structures at the nanoscale based on photocurable resin and DMD-based maskless lithography.…”
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On the ultra-rapid mixing in two colliding Leidenfrost drops by Yu-Tung Chiu, Ya-Lin Hsiao, Yuki Morita, Naoto Ohmura, Chen-li Sun

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Examining the effect of input factor allocation management on tangerine production: Evidence from Selayar Islands Regency, Indonesia by Abdushamad, Muslim Salam, A. NixiaTenriawaru, Muhammad Hatta Jamil, Didi Rukmana, Nurdjanah Hamid, Nitty Hirawaty Kamarulzaman, Rahmadanih, Heliawaty, Nurbaya Busthanul, Letty Fudjaja, Siti Hardiyanti Syam, Ahmad Imam Muslim, Muhammad Ridwan

“…Farmers can boost their output by improving their skills in tangerine farming management, joining farmer groups, and applying more urea and NPK fertilizers and manure. Optimizing pesticide use can also increase tangerine production. …”
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Comparative Study of Portfolio Optimization Models for Cryptocurrency and Stock Markets by Bahram Alidaee, Haibo Wang, Wendy Wang

“…This study has examined the performance of various portfolio models that have explored the concept of MPT on U.S. stock and cryptocurrency markets, i.e., discrete Markowitz portfolio selection (DMPS), the optimal dynamic portfolio (ODP), the binary unconstrained ODP (BUODP) with a quantum annealing solver, and the 1/N naive diversification (ND). …”
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Total fuzzy graph coloring by Smriti Saxena, Antika Thapar, Richa Bansal

“…TFGC is also converted into an equivalent binary programming problem and solved using a CPLEX solver. …”
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An explainable artificial intelligence model for predictive maintenance and spare parts optimization by Ufuk Dereci, Gülfem Tuzkaya

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DBN Face Recognition Algorithm Based on GCSLBP by GUAN Xiao-rui, CHENG Wei-yue, ZHANG Xue-qin, LIN Ke-zheng, GAO Tie-hong

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IMAGE SEGMENTATION AND OBJECT SELECTION BASED ON MULTI-THRESHOLD PROCESSING by Vladimir Yu. Volkov, Oleg A. Markelov, Mikhail I. Bogachev

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Forest land cover optimization for water management in the Ichawaynochaway creek basin by Chambers J. English, Seth E. Younger, Steven T. Brantley, Puneet Dwivedi, Daniel Markewitz, Jeffery B. Cannon

“…Flow contributions and financial returns at the subbasin level were optimized using an Integer/Binary Linear Programming Model to maximize watershed-scale financial returns while meeting various flow increase objectives above a 2.6% low flow ecological threshold. …”
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Optimization of Identification and Zoning Method for Landscape Characters of Urban Historic Districts by Hong YUN, Zixuan HU, Zehao HU

“…Based on this, this research optimizes the landscape gene theory for the buildings of urban historic districts by: 1) Strengthening the historic layering analysis of architectural gene; 2) adjusting the identification principles of architectural genes by not only adding a new principle of geographical representation, but also justifying the weight between principles; 3) implementing the binary identification of both architectural genes and recessive genes; 4) establishing a general classification system for architectural genes and recessive genes, with the new classification system involving three levels, of which the architectural genes and the recessive genes are respectively divided into six and seven subitems; 5) strengthening the correlation analysis of the binary genes. …”
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Developing a hybrid feature selection method to detect botnet attacks in IoT devices by Alshaeaa H.Y., Ghadhban Z.M., Ministry of Education, Iraq

“…The results showed the correlation feature selection method had the most accurate botnet attack detection rate. RF also outperformed other models with a 95.11% detection rate in binary classification and 83.96% in multi-classification. …”
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Study on medical professionals’ acceptance of and factors influencing drone delivery for medical supplies by Zhao Zhang, Chun-Yan Xiao, Ya Wang, Wan-Cui Song, Jia-Yi Sun, Zhi-Guo Zhang

“…Medical professionals are the primary users of medical delivery drones, hence, their opinions are crucial for the spread of the technology. To encourage the optimization and real-world use of this technology, it is crucial to methodically investigate the elements influencing medical staff’s approval of drone delivery.MethodsUsing a sample of medical personnel from the emergency department of a large hospital in Chengdu City (N=289), this study conducted regression analyses using a binary logistic model for each of the four categories of medical supplies to identify key factors that can influence medical personnel’s willingness to use drones. …”
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Integral Strategic Performance — Optimization of a Company’s Activity with the Requirements of Interested Parties by V. V. Smirnov

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Assessment and Optimization of Hydrological Connectivity for Effective Management of Water Resources in the Samian Watershed by Zeinab Hazbavi, Nazila Alaei

“…After constructing the hydrological network of the Samian Watershed, several connectivity indices were calculated to capture the internal complexity of the water flow transfer path network:River chain node ratio (β): Calculated to represent the degree of branching in the river networkActual bonding degree (γ): Determined to show the level of connectivity in the river networkIndex of Integration of Connectivity (IIC): Extracted based on binary theory using Conefor Sensinode 2.6 software to represent the overall connectivity of the transmission path networkProbability of Connectivity (PC): Also derived from binary theory to indicate the overall connectivity of the transmission path networkThe cost of water connection resistance was determined based on topographical, hydrological, and anthropogenic factors. 5 optimization levels were then defined according to the priority of optimization. …”
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A nonrevisiting genetic algorithm based on multi-region guided search strategy by Qijun Wang, Chunxin Sang, Haiping Ma, Chao Wang

“…Except for the conventional genetic operations, the offspring can also be generated through multi-region guided search strategy, where the current solution is first navigated to one of the candidate search regions and is further updated towards the direction of the optimal solution in the search history to speedup convergence. …”
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