Optimal mixture design for organic Rankine cycle using machine learning algorithm by Valerio Mariani, Saverio Ottaviano, Davide Scampamorte, Andrea De Pascale, Giulio Cazzoli, Lisa Branchini, Gian Marco Bianchi

“…The proposed tool comprises a blend model for the thermophysical properties of the formulated mixtures, an ORC model to predict the performance of the mixtures in a specific application, and an optimizer based on the Bayesian inference method to identify the optimal mixtures compositions to be assessed. …”
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Optimizing Supply Chain Resilience Using Advanced Analytics and Computational Intelligence Techniques by Jie Xu, Lixing Bo

“…This paper presents a novel resilient supply chain management (SCM) structure leveraging advanced artificial intelligence (AI) techniques, specifically Long Short-Term Memory (LSTM) networks and Particle Swarm Optimization (PSO). The primary objective is to enhance supply chain efficiency and robustness by integrating these AI methods to address common challenges such as demand forecasting, resource allocation, and cost reduction. …”
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Extraction, Characterization, and Optimization of Protein From Food Waste and Waste-Activated Sludge by Cheruiyot Dennis, Seth Apollo, George Simba Nyamato

“…It was established that FW had 21.5 g/100 g protein, while WAS had 19.9 g/100 g protein. The two extraction methods had superior extraction for WAS as compared to FW. …”
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Development of an Optimized Ensemble Least Squares Model for Identifying Potential Deposit Customers by Firman Aziz, Mutia Maulida, Jafar Jafar, Nurafni Shahnyb, Norma Nasir, Ampauleng Ampauleng

“… The banking sector faces significant challenges in effectively promoting its products and services. While direct marketing has proven to be a potent tool for customer acquisition, it often leads to customer dissatisfaction, thereby tarnishing the bank's reputation. …”
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Optimal control of dengue fever model with a logistically growing human population by Anita T. Kurniawati, Fatmawati, Chidozie W. Chukwu, Windarto, Faishal F. Herdicho

“…The model parameters were estimated using least-squares methods based on dengue data in East Java, Indonesia. …”
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Multi-Project Staff Scheduling Optimization Considering Employee Welfare in Construction Projects by Junlong Peng, Fei Zhou

“…Multi-project staff scheduling optimization is a critical challenge in engineering management. …”
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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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A Simulation Study for Optimal Pinhole Collimator Design in Gamma Camera Systems by M. A. Ghoneim

“…However, the collimator system has low sensitivity due to the hole’s small diameter. Therefore, the optimization between the spatial resolution and sensitivity is critical for determining the image quality in the gamma camera system. …”
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Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm by Wu Yanhong

“…The iterative process of genetic algorithms preserves high fitness pathways while generating new ones. Throughout this process, the computer continuously selects and merges the current ideal path attributes, gradually optimizing the learning path. …”
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Maximizing Spectrum Efficiency of Data-Carrying Reference Signals via Bayesian Optimization by Taiki Kato, Hiroki Iimori, Chandan Pradhan, Szabolcs Malomsoky, Naoki Ishikawa

“…The proposed objective function outperforms conventional design metrics in obtaining Pareto-optimal constellations for NMSE and AMI. The constellation obtained by our method achieves an NMSE comparable to conventional non-data-carrying RSs while enabling data transmission, resulting in superior AMI performance and improved spectral efficiency even at middle SNRs.…”
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Mixed Multi-Strategy Improved Aquila Optimizer and Its Application in Path Planning by Tianyue Bao, Jiaxin Zhao, Yanchang Liu, Xusheng Guo, Tianshuo Chen

“…Traditional Aquila Optimizers, while effective, face limitations such as uneven population initialization, a tendency to get trapped in local optima, and slow convergence rates. …”
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An Arterial Signal Coordination Optimization Model for Trams Based on Modified AM-BAND by Yangfan Zhou, Shunping Jia, Baohua Mao, Tin Kin Ho, Wei Wei

“…In this paper, an arterial signal coordination optimization model is proposed for trams progression based on the Asymmetrical Multi-BAND (AM-BAND) method. …”
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Bidirectional Collaborative Optimization Scheduling of Adjustable Resources in Computing Node and Power Node by ZHOU Qianyufan, YANG Ping, WAN Siyang, CUI Jiayan, LI Fengneng, WEI Zhichu

“…They have also made the bidirectional collaborative optimization of computing and electricity into a new method of economic optimization in comprehensive energy systems. …”
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Optimizing Concrete Mix Design for Cost and Carbon Reduction Using Machine Learning by Angga T. Yudhistira, Arief S. B. Nugroho, Iman Satyarno, Tantri N. Handayani, Malindu Sandanayake, Rimba Erlangga, Jonathan Lianto, Alfa Rosyid Ernanto

“…PSO results show that cement reduction in concrete can be achieved with optimal use of admixture while reducing 1-3% costs and 7-10% carbon emissions. …”
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Optimal Dynamic Reserved Bandwidth Allocation for Cloud-Integrated Cyber-Physical Systems by Guanlin Wu, Weidong Bao, Xiaomin Zhu, Wenhua Xiao, Ji Wang

“…To address this issue, we propose a novel strategy that systematically and dynamically allocates reserved bandwidth for multiple CPS services in CCPS with a nearly optimal method. By making a balance between the three key factors of crash cost, QoS loss and operating cost, the proposed strategy is able to minimize the operating cost, the influence of the discrepancy between the service-level agreement and the bandwidth actually delivered, while preserving essential QoS level. …”
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Performance Analysis and Operation Parameter Optimization of Shaker-Type Harvesting for Camellia Fruits by Qiaoming Gao, Jianfeng Han, Shan Zeng, Yu Wang, Wei Wei, Dongxue Wang, Hang Ye, Jing Lu, Haoxiang Zeng

“…Meanwhile, under these operational parameters, the harvesting efficiency reached 96.97%, while the flower bud damage rate was only 6%.…”
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Traffic light optimization (TLO) using reinforcement learning for automated transport systems by Mohammad Mehedi Hassan, Stephen Karungaru, Kenji Terada

“…Current traffic light systems follow predefined timing sequences, causing the light to turn green even when no cars are waiting, while the side road with waiting vehicles may still face a red light. …”
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Optimization of parallel coiled cavities of different depths in microperforated panel sound absorbers by Hequn Min, Huading Lou, Yuchen Zhao

“…Numerical simulations with the finite element method and experiments are conducted for validations. …”
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Optimal Selection Criterion for Runoff Component Models Based on Benefit-Risk Balance by DING Xiao-ling, HU Wei-zhong, TANG Hai-hua, LUO Bin, FENG Kuai-le

“…Subsequently, runoff component models were optimized based on the criterion of minimizing this benefit-risk balance indicator. …”
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