Optimal nonlinear filtering of MPSK signals in the presence of a Doppler frequency shift by G. V. Kulikov, T. T. Do, R. R. Usmanov

“…The problem was solved using the apparatus of optimal nonlinear filtering and methods of statistical radio engineering.Results. …”
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Enhancing Conservation Efforts in the Qinling Mountains Through Phenotypic Trait Diversity Optimization by Sibo Chen, Xin Fu, Kexin Chen, Jinguo Hua, Qian Rao, Xuewei Feng, Wenli Ji

“…The establishment of conservation areas is considered one of the most effective approaches to address biodiversity loss with limited resources. Identifying hotspots of plant diversity and conservation gaps has played a crucial role in optimizing conservation areas. …”
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Optimization of Subcritical Extraction and Membrane Technology for Refining Acer truncatum Seed Oil by Xianting RAN, Yu WANG, Lilang LI, Chaoju ZHANG, Zhongsheng LUO, Mei PENG, Juan YANG

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Optimizing Space Heating in Buildings: A Deep Learning Approach for Energy Efficiency by Fernando Almeida, Mauro Castelli, Nadine Corte-Real, Luca Manzoni

“…This study also employs grid search and cross-validation to optimize the model configurations and custom loss functions to ensure energy efficiency and occupant comfort. …”
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Optimization of signal control at ramp adjacent intersections based on A2C by SONG Tailong, GUO Mingyang, CHEN Yifan, HE Yulong

“…This often results in queuing and, in severe cases, ramp spillback, causing traffic bottlenecks on the expressway lanes and substantial losses in traffic travel. This study utilizes deep reinforcement learning algorithms for traffic signal control optimization at exit ramps associated with intersection crossings. …”
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Loss of heterozygosity of CYP2D6 enhances the sensitivity of hepatocellular carcinomas to talazoparibResearch in context by Xiaonan Zhang, Natallia Rameika, Lei Zhong, Verónica Rendo, Margus Veanes, Snehangshu Kundu, Sandro Nuciforo, Jordan Dupuis, Muhammad Al Azhar, Ioanna Tsiara, Pauline Seeburger, Shahed Al Nassralla, Viktor Ljungström, Richard Svensson, Ivaylo Stoimenov, Per Artursson, Markus H. Heim, Daniel Globisch, Tobias Sjöblom

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Parameter Calculation and Rotor Structure Optimization Design of Solid Rotor Induction Motors by Hao Xu, Jinghong Zhao, Sinian Yan

“…Slotted and squirrel cage rotors can effectively improve the motor power factor and efficiency, but this will lead to a decrease in starting performance. For the optimization function established in this paper, compared with the smooth rotor, the performance of the squirrel cage rotor is improved by 6.08%, which verifies the accuracy and validity of this paper and the optimization design scheme.…”
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Unilateral ureteral endometriosis masquerading as a ureteral tumor and resulting in complete loss of renal function: A case report by Rui Qu, Luo Yang, Yi Dai

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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

“…The optimal management scheme is designed based on the optimized objective functions and implemented through steady-state energy analysis. …”
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Optimal Spatial Configuration for Energy and Solar Use in Alpine-Frigid Resettlement Communities by Bo Liu, Wei Song, Yu Liu, Chuanming Wang, Jie Song

“…This study investigates solar-optimized spatial configurations that enhance passive energy performance while addressing functional settlement needs. …”
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Mathematical assessment of the optimal intervention strategy for Cercospora fungal disease in orange plants by Omowumi Fatimah Lawal, Anthony Kodzo Hunkpe, Afeez Abidemi, Pius Olanrewaju Ogunjobi

“…The model was later extended to an optimal control model by considering the two interventions as time-dependent control functions ν(t) and α(t), respectively. …”
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Optimization of parameters of resource-saving machine technologies and operating modes of corn harvesters by Ya. P. Lobachevsky, E. I. Trubilin, E. V. Truflyak

“…The authors developed a block scheme and mathematical model of optimization of parameters and operating modes of technical means. …”
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The superiority of feasible solutions-moth flame optimizer using valve point loading by Mohammad Khurshed Alam, Herwan Sulaiman, Asma Ferdowsi, Md Shaoran Sayem, Md Mahfuzer Akter Ringku, Md. Foysal

“…The MFO, Grey Wolf Optimizer (GWO), Success-history-based Parameter Adaptation Technique of Differential Evolution - Superiority of Feasible Solutions (SHADE-SF), and Superiority of Feasible Solutions-Moth Flame Optimizer (SF-MFO) algorithms are applied to address the OPF problem with two objective functions: (1) reducing energy production costs and (2) minimizing power losses. …”
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Swarm intelligence driven inverse design of slot patterns for sub-6 GHz 5G MIMO antennas in virtual reality applications by Shadman Fuad Bin Faruquee, Himel Bhuiyan, Md. Shafiul Alam, Sharnali Islam, Khaleda Ali

“…Utilizing the capabilities of particle swarm optimization (PSO) on a pixelated surface, an objective function is formulated to minimize the reciprocal of the bandwidth while ensuring that the reflection coefficient (|S11|) remains below -10 dB and the transmission coefficient (|S21|) is below -20 dB. …”
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Optimized Quality of Service for Real-Time Wireless Sensor Networks Using a Partitioning Multipath Routing Approach by Mohammed Zaki Hasan, Tat-Chee Wan

“…We propose a novel mathematical model for quality of service (QoS) route determination that enables a sensor to determine the optimal path for minimising resource use while satisfying the required QoS constraints. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…The dynamic self-tuning strategy for sparsity factors, developed for sparse training, effectively determines the regularization intensity that reflects network channel contributions, providing more appropriate network pruning results to form the lightweight student network. The proposed hybrid loss function promotes sufficient knowledge transfer of intermediate and output features from the teacher to the student network, thus preserving defect identification capabilities that might otherwise degrade through knowledge distillation. …”
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A Novel Loss Minimization Algorithm for the 3-Port Converter in a Multi-Subgrid Microgrid by Rajarshi Basu, Mahesh Kumar Mishra

“…The algorithm employs an optimization function, “fmincon”, that uses a trust region method based on the interior point technique to minimize the objective function. …”
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Optimal Dark Tea Fertilization Enhances the Growth and Flower Quality of Tea Chrysanthemum by Improving the Soil Nutrient Availability in Simultaneous Precipitation and High-Temper... by Jiayi Hou, Jiayuan Yin, Lei Liu, Lu Xu

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Achieving local differential location privacy protection in 3D space via Hilbert encoding and optimized random response by Yan Yan, Pengbin Yan, Adnan Mahmood, Yang Zhang, Quan Z. Sheng

“…However, the extensive use of aircraft, sensor equipment and acquisition devices with positioning functions promotes the urgency of protecting the privacy of 3D spatial locations. …”
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Risk-Averse Suppliers’ Optimal Pricing Strategies in a Two-Stage Supply Chain by Rui Shen, Zhiqing Meng, Xinsheng Xu, Min Jiang

“…We introduce for the suppliers a loss function, which covers both current loss and future loss. …”
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