A Genetic Algorithm Based ESC Model to Handle the Unknown Initial Conditions of State of Charge for Lithium Ion Battery Cell by Kristijan Korez, Dušan Fister, Riko Šafarič

“…Obtaining parameters is often conducted by optimization using evolutionary algorithms. Obtaining the initial state of charge is often conducted by measurements, which can be burdensome in practice. …”
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Implementation of Membrane Algorithms on GPU by Xingyi Zhang, Bangju Wang, Zhuanlian Ding, Jin Tang, Juanjuan He

“…Membrane algorithms are a new class of parallel algorithms, which attempt to incorporate some components of membrane computing models for designing efficient optimization algorithms, such as the structure of the models and the way of communication between cells. …”
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Optimum Design of a Nonlinear Vibration Absorber Coupled to a Resonant Oscillator: A Case Study by H. F. Abundis-Fong, J. Enríquez-Zárate, A. Cabrera-Amado, G. Silva-Navarro

“…This paper presents the optimal design of a passive autoparametric cantilever beam vibration absorber for a linear mass-spring-damper system subject to harmonic external force. …”
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Analysis of Key Commuting Routes Based on Spatiotemporal Trip Chain by Wenbin Yao, Caijun Chen, Hongyang Su, Nuo Chen, Sheng Jin, Congcong Bai

“…Commuting pattern is one of the most important travel patterns on the road network; the analysis of commuting pattern can provide support for public transport system optimization, policy formulation, and urban planning. …”
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A Hybrid Model for Prediction in Asphalt Pavement Performance Based on Support Vector Machine and Grey Relation Analysis by Xuancang Wang, Jing Zhao, Qiqi Li, Naren Fang, Peicheng Wang, Longting Ding, Shanqiang Li

“…Meanwhile, the contrast with the grey model (GM (1, 1)), genetic algorithm optimization BP[[parms resize(1),pos(50,50),size(200,200),bgcol(156)]]081%, −0.823%, 1.270%, and −4.569%, respectively. …”
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High-Bandwidth Chiplet Interconnects for Advanced Packaging Technologies in AI/ML Applications: Challenges and Solutions by Shenggao Li, Mu-Shan Lin, Wei-Chih Chen, Chien-Chun Tsai

“…However, achieving highyield manufacturing and robust performance still necessitates significant efforts in design and technology co-optimization. Despite these challenges, the semiconductor industry is poised for continued growth and innovation, driven by the possibilities unlocked by a robust chiplet ecosystem and novel 3D-IC design methodologies.…”
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HapNetworkView: a tool for haplotype network exploration and visualization by Lianjiang Chi, Yi Dong, Ruizhen Wang, Suiyuan Yang, Lan Wu, Yongbiao Xue, Hua Chen

“…HapNetworkView offers both automatic optimization and manual adjustment for haplotype network layouts. …”
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Probe Selection and Power Weighting in Multiprobe OTA Testing: A Neural Network-Based Approach by Yong Li, Hao Sun, Xingyu Chen, Lijian Xin, Xiang Zhang

“…Simulations demonstrate that compared with the convex optimization-based approach to perform probe selection in the literature, e.g., the well-known multishot algorithm, the proposed NN-based approach can yield similar channel emulation accuracy with significantly reduced computational complexity.…”
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Estimating phosphate capacities of multi-component slags by mass triangle model by Sun Y., Wang L., Xu J., Chou K.

“…., this model might shoot light on the understanding of various properties of multi-component slags accurately, and thus offer insight on optimization of ironmaking and steelmaking process.…”
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Analytical Quality by Design Approach to Test Method Development and Validation in Drug Substance Manufacturing by N. V. V. S. S. Raman, Useni Reddy Mallu, Hanimi Reddy Bapatu

“…AQbD key tools are identification of ATP (Analytical Target Profile), CQA (Critical Quality Attributes) with risk assessment, Method Optimization and Development with DoE, MODR (method operable design region), Control Strategy, AQbD Method Validation, and Continuous Method Monitoring (CMM). …”
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Climate change–Drylands–Food Security Nexus in Africa: From the Perspective of Technical Advances, Challenges, and Opportunities. by Hirwa, Hubert, Fadong, Li, Qiao, Yunfeng, Measho, Simon, Muhirwa, Fabien, Tian, Chao, Leng, Peifang

“…To bridge the gap from science to policy making in the CDF nexus, it is vital to enhance the impacts and feedback of ecohydrological processes on agrarian production, ecosystem service tradeoffs and their effects on livelihoods, and regional development and preservation by optimization of the ecological water security pattern. …”
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Water Accounting and Productivity Analysis to Improve Water Savings of Nile River Basin, East Africa: From Accountability to Sustainability. by Hirwa, Hubert, Zhang, Qiuying, Li, Fadong, Qiao, Yunfeng, Measho, Simon, Muhirwa, Fabien, Xu, Ning, Tian, Chao, Cheng, Hefa, Chen, Gang, Ngwijabagabo, Hyacinthe

“…To bridge the gap from science to policy making in the CDF nexus, it is vital to enhance the impacts and feedback of ecohydrological processes on agrarian production, ecosystem service tradeoffs and their effects on livelihoods, and regional development and preservation by optimization of the ecological water security pattern. …”
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Influencing Mechanisms of Ecosystem Services on Net Carbon Sink Efficiency and Spatial Differentiation Thereof: A Case Study of the Shanghai Metropolitan Area by Haoyang SONG, Min WANG

“…As there are differences in the spillover effects of different ecosystem services, it is necessary to differentiate the optimization and enhancement strategies for each type of ecological space and its ecosystem services according to local conditions, and the conservation of important ecological spaces in the metropolitan area should be continuously strengthened, followed by joint protection and control of ecological red lines in neighboring areas, so as to promote territorial spatial carbon reduction and sink enhancement activities, thus contributing to the steady improvement of the net carbon sink efficiency of the Shanghai Metropolitan Area in general. …”
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Research hotspots and frontiers in metakaolin-based geopolymer studies: a bibliometric analysis by Peng Wang, Mingquan Ma, Fei Wang

“…Keyword analysis reveals that research hotspots include raw material optimization, synthesis mechanisms, mechanical properties, durability, and environmental applications. …”
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Advancing Microchannel Fabrication: Tool-Innovated Die Sink Electrodischarge Machining by M. Shanmuka Srinivas, R. Meenakshi Reddy, Praveen Kumar Balguri, Din Bandhu, Manas Das, Kishore Debnath, Mridusmita Roy Choudhury

“…An investigation was conducted to explore the attributes of microchannels through the optimization of process parameters in die sink EDM. Control parameters such as sparking current, duty cycle, active pulse duration, and gap voltage were selected and studied to assess their impact on the depth and width of the channels. …”
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A Person-Based Adaptive Traffic Signal Control Method with Cooperative Transit Signal Priority by Wei-Hsun Lee, Hsuan-Chih Wang

“…However, their models, optimizing signal plan cycle-by-cycle, cannot rapidly respond to traffic variations. …”
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Milling-Force Prediction Model for 304 Stainless Steel Considering Tool Wear by Changxu Wang, Yan Li, Feng Gao, Kejun Wu, Kan Yin, Peng He, Yunjiao Xu

“…Consequently, an accurate milling-force model is crucial for guiding the formulation and optimization of machining parameters. This paper presents a milling-force prediction model for 304 stainless steel that incorporates the effect of tool wear, based on the mechanistic modeling approach. …”
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Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

“…The key innovation lies in identifying pharmacophore features tied to conformations selected by ligands, offering a predictive framework for optimizing drug candidates. This study illustrates the potential of combining ML and pharmacophoric analysis to develop intuitive and mechanism-driven tools for lead optimization and rational drug design.…”
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Simulation Modeling of a Pharmaceutical Tablet Manufacturing Process via Wet Granulation by Zhengsong Wang, Zhen Pan, Dakuo He, Jiahui Shi, Shouxin Sun, Yue Hou

“…The interest in integrating mechanistic process modeling into the pharmaceutical development has been increased because simulation model is a prerequisite for process design, analysis, control, and optimization. So the simulation modeling for PTMP via wet granulation is very necessary and significant. …”
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A New Health Condition Detection Method for Planetary Gears Based on Modified Distributed Compressed Sensing and Multiscale Symbol Dynamic Entropy by Zhe Wu, Qiang Zhang, Zeyu Ma, Jialong Lu, Zhiying Qin

“…A distributed compression sensing parameter optimization algorithm based on Rényi entropy is proposed, which uses improved distributed compression sensing technology to simultaneously sample, compress, and denoise the multisource vibration data of rotating machinery. …”
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