EC-WAMI: Event Camera-Based Pose Optimization in Remote Sensing and Wide-Area Motion Imagery by Isaac Nkrumah, Maryam Moshrefizadeh, Omar Tahri, Erik Blasch, Kannappan Palaniappan, Hadi AliAkbarpour

“…These capabilities allow ECs to overcome challenges such as glare, uneven lighting, and low-light conditions that are common in aerial imaging and remote sensing, while also extending UAV flight endurance. To evaluate the effectiveness of ECs in WAMI, we simulate event data from RGB WAMI imagery and integrate them into SfM pipelines for camera pose optimization and 3D point cloud generation. …”
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Optimizing security and energy efficiency in IoT-Based health monitoring systems for wireless body area networks by Mohammed Naif Alatawi

“…The healthcare provider assigns global ratings, while local ratings are crowdsourced from remote users or monitoring agents. …”
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Optimal sequencing of locoregional and systemic therapies for intermediate and advanced hepatocellular carcinoma: a network meta-analysis by Wei Lu, Zhiyuan Li, Chen Pan, Bingliang Chen, Gang Zhang, Zhiming Yang, Jingcheng Hao

“…TACE-initiated sequences (TAI/TIA) optimize survival (OS/PFS: SUCRA > 90%), while systemic-first regimens (AIT/IA) maximize tumor response (ORR/DCR: SUCRA > 85%). …”
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Optimal dosage and effectiveness of imagery practice on athletes’ mental health: a Bayesian multilevel meta-analysis by Xuda Zhang, Shiao Zhao, Sanfan Ng, Yiran Liu, Taihe Liang, Chon In Lao, Ziheng Ning

“…This study aims to evaluate the effectiveness and optimal dosage of imagery practice on athletes’ mental health outcomes.MethodsA total of 24 randomized controlled trials (RCTs), encompassing 1,294 athletes, were synthesized using a Bayesian multilevel meta-analysis in accordance with the PRISMA 2020 guidelines. …”
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Optimizing energy use efficiency and environmental performance in cotton and canola production using the Imperialist Competitive Algorithm by Mousa Mirmoradi, Mohammad Gholami Parashkoohi, Hamed Afshari, Ahmad Mohammadi

“…Environmental impacts also differ; canola's fertilizer use contributes more nitrogen oxides and ammonia, potentially affecting water quality, while cotton's labor-intensive methods lead to increased emissions of heavy metals and CO2. …”
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Synergistic research on planter performance optimization and green low-carbon agricultural transformation under climate risk by Yan Shi, Pengfei Zhao, Zhengzhao Gu, Ye Li

“…While traditional planting strategies focused on parameters like seed depth, speed, and spacing, they often neglected environmental sustainability and adaptability to climate variability.MethodsTo bridge this gap, we introduced the Adaptive Precision Planter Optimization Model (APPOM), which leveraged real-time environmental sensing, machine learning, and multi-objective optimization to dynamically adjust key planting parameters. …”
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Integrated multi-task feature learning and interactive active optimization for scene retargeting in preschool educational applications by Suhui Yao, Lan Lv

“…Experimental evaluations demonstrate that the proposed model not only surpasses five state-of-the-art methods in performance but also achieves a 3% improvement in accuracy compared to the next-best approach, all while reducing inference time by over 50%. …”
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Hybrid Metaheuristic Optimization of HVAC Energy Consumption and Thermal Comfort in an Office Building Using EnergyPlus by Reza Akraminejad, Tianyi Zhao, Yacine Rezgui, Ali Ghoroghi, Yousef Shahbazi Razlighi

“…Our findings demonstrate an average 7% reduction in energy consumption and a 3% improvement in MRT-based comfort relative to existing methods. While seemingly small, even minor enhancements in MRT can have a noticeable positive impact on well-being, particularly in large, high-occupancy buildings.…”
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Optimal Scheduling of Integrated Energy Systems Considering Electric Vehicle Charging Patterns and Supply-Demand Flexibility by LIU Weimin, XIAO Hui, ZENG Linjun, YAN Qin, GUO Huidong, WU Yongxiao

“…Finally， an IES low-carbon economic optimization model is constructed. It incorporates stepwise carbon trading， EV charging modes， demand response， and the KC， while considering carbon emission constraints. …”
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Research on design optimization of oil and gas pipelines leveraging X80 tee and additive manufacturing technology by Ye TIAN

“…Methods This study introduced equal tees made of X80 steel with a diameter of 1 219 mm for the structural design optimization and safety evaluation of oil and gas pipelines, aimed at addressing local stress concentration issues. …”
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Optimizing Paediatric Hypospadias Surgical Repair: Pudendal Nerve Block Versus Caudal Block for Superior Analgesia by Hemachander Sridharan, Nikhil Kesarkar, Raylene Dias

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Optimizing Battery Charging in Wireless Sensor Networks: Performance Assessment of MPPT Algorithms in Different Environmental Settings by Abdullah Fadhil Noor Shubbar, Serkan Savaş, Osman Güler

“…A Proportional-Integral (PI) controller was also used to manage the battery charging process, and environmental profiles were varied across simulation periods to assess algorithm robustness.Results: The PSO algorithm achieved superior performance across all metrics, demonstrating the fastest response time (0.1 s), lowest overshoot (14.8 V, 25 mA), and highest energy transfer efficiency. IC and FL methods showed balanced adaptability and performance, while P&O lagged in both responsiveness and efficiency. …”
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Optimizing blood management in arthroplasty: a meta-analysis of carbazochrome sodium sulfonate and Tranexamic acid combination by Mohamed A. Alsaied, Omnia Samy El-Sayed, Shahd Alqato, Abdelrahman M. Elettreby, Ahmed A. Abo Elnaga

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drugdevelopR: Planning of phase II/III drug development programs with optimal sample size allocation and Go/No-go decision rules in R by Johannes Cepicka, Lukas D. Sauer, Marietta Kirchner, Meinhard Kieser, Stella Erdmann

“…Within a utility-based framework, methods for optimal designs were developed recently, i.e., optimal go/no-go decision rules (whether to stop or to proceed to phase III) and optimal sample sizes minimizing the cost while maximizing the chances of achieving the program objective. …”
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A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks by Yao Lu

“…The proposed method maintains 83% performance stability during complex disruptions compared to 51–72% for alternative approaches, while keeping computational requirements feasible for practical deployment. …”
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Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems by Yanling Chen, Jingyi Wei, Tao Luo, Jie Zhou

“…Combined with pheromone updating and Pareto front-end optimization, the method effectively resolves the conflict between vehicle capacity constraints and multi-objective optimization. …”
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Noise-Based Frequency Spectrum Correction Method Using Interior Point Approach by Guichun Yang, Shengyou Zhou, Han Chen, Huiyue Yang, Weixing Hua, Zhaojie Wu, Yan Chen

“…Notably, for a signal containing 2048 samples, the IP method achieves a 4.2-fold reduction in execution time compared to the FFT+FT refinement approach, while maintaining comparable accuracy. …”
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Designing High‐Performance, Manufacturing‐Friendly Rotor Blades for Micro Wind Turbines via Cambered Plate Airfoil Optimization by Moritz Burmester, Abdullah Khisraw, Peter Dalhoff

“…ABSTRACT Conventional methods for manufacturing rotor blades, such as composite construction and die casting, are hindered by high costs due to expensive molds, while 3D printing often results in poor quality or high production costs with unfavorable cost‐per‐part scaling. …”
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Mathematical simulation for squeezing blood-based hybrid nanofluid between two permeable surfaces with the influence of MHD and viscous dissipation by Ali Rehman, Abdullah Aziz Saad, Mustafa Inc, K. Sudarmozhi

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Analytical methods for in-depth characterisation of cell culture bioreactors: A case study by Janik D. Seidel, Clifford Young, Manuela Klingler-Hoffmann, Mark R. Condina, Alok Shah, Sri Ramarathinam, Woan Mei Kok, Craig Kyngdon, Peter Hoffmann

“…These methods were applied to an industrial process with variations in seeding density, glucose and media feeding strategy, and media composition. …”
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