Weed detection in cornfields based on improved lightweight neural network model by Haicheng Wan, Shanping Wang

“…By improving the original YOLOv4 model structure, the complexity of the original YOLOv4 model is simplified. …”
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Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing by Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani

“…The Dueling DQN alleviates the complexity of simultaneous offloading and resource allocation decisions, with each branch independently controlling a subset of the decision variables to scale efficiently with an increasing number of IoT devices, thereby avoiding the combinatorial explosion of potential actions. …”
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Presenting the Model of Eco-Leadership in Elementary Schools with an Interpretive Phenomenological Approach by Adel Zahed babolan, Seyyedmohammad Seyyedkalan

“…These insights pave the way for a new leadership model capable of navigating school ecological complexities and addressing local community environmental concerns in future crises.…”
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Classification criteria for coal bursting liability based on portable Leeb hardness testing by Yixin ZHAO, Zhe YANG, Ronghuan XIE, Tao WANG, Liangchen ZHAO

“…Determining the bursting liability of coal is one of the main basis for evaluating the bursting risk degree of coal burst mine. Considering the complexity of existing classification procedures for determining coal bursting liability, a new method based on portable Leeb hardness testing is proposed. …”
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Comprehensive synthesis and anticoagulant evaluation of a diverse fucoidan library by Si-Cong Chen, Xianjin Qin, Nanyu Xiong, Lisha Lin, Yanfen Wu, Qin Li, Dongyue Sun, De-Cai Xiong, Cassandra E. Callmann, Mingyi Wu, Xin-Shan Ye

“…To address this challenge, we synthesize a diverse library of 58 distinct fucoidans with multiple contiguous 1,2-cis glycosidic bonds, ranging from disaccharides to dodecasaccharides, using a highly efficient preactivation-based one-pot glycosylation strategy. …”
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Minimum-Cost Design of Auto-Scaling Server Farms Providing Reliability Guarantees by Jesus Perez-Valero, Pablo Serrano, Jaime Garcia-Reinoso, Albert Banchs, Xavier Costa-Perez

“…As next-generation mobile networks increasingly rely on virtualized infrastructure to deliver critical services, ensuring both the efficiency and reliability of server farms becomes essential. …”
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From In Vitro Cytotoxicity to In Vivo Zebrafish Assays: A Study on 3,3-Dichloro β-, γ- and δ-Lactams and Their Biological Activity Profiles by Faïza Diaba, María del Carmen Morán, Elisabet Teixidó

“…<b>Background/Objectives:</b> Anticancer research is a constantly evolving field due to cancer’s complexity and adaptability. This study aims to evaluate the hemolytic behavior and cytotoxic properties of ten 3,3-dichlorolactams against A431 tumor and 3T3 fibroblast cells, with a particular focus on their selective toxicity. …”
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A Novel Depression Risk Prediction Model Using NHANES Data With Mendelian Randomization Validation by Lin Lin, Liqun Zhang, Jingdong Zhang, Dapeng Ding

“…Conclusions Model 2, selected for its predictive accuracy and streamlined complexity, presents a pragmatic instrument for large‐scale population screenings, facilitating timely intervention and therapeutic strategies.…”
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Variable neighbourhood search for connected graphs of fixed order and size with minimal spectral radius by Kristina Kostić, Zorica Dražić, Aleksandar Savić, Zoran Stanić

“…The search efficiently results in solutions that are (in a precise sense) close to the optimal ones, i.e. to minimizers.…”
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Synthetic Pre-miRNA-Based shRNA as Potent RNAi Triggers by Kazuya Terasawa, Kazuharu Shimizu, Gozoh Tsujimoto

“…We demonstrated that chemically synthetic pre-miRNA-based shRNAs have more potent RNAi activity than their corresponding siRNAs and found that their antisense strands are more efficiently incorporated into the RNA-induced silencing complex. …”
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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…Although some models showed error rates of 7.8% and 7.4% in hip circumference measurements, this was attributed to the complexity of 3D structures and the challenges in selecting keypoint locations. …”
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Five-Level MLI-Based Grid-Connected Photovoltaic Systems: A Review on Control Methodologies, Modulation Strategies and Recent Developments by Anurag Tiwari, Vinayak Kumar, Ruchi Agarwal, Mohammad Amir, Mohammed A. Alharbi, S. M. Muyeen

“…Examples of these techniques include pulse width modulation (PWM) and selective harmonic elimination (SHE). Further analysis of the structural features of five-level MLI-based systems is done, which helps to clarify the trade-offs between complexity, dependability, and cost. …”
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High-Switching-Frequency SiC Power Conversion Systems with Improved Finite Control Set Method Prediction Control by Yibiao Fan, Lixia Tong, Yingjie Lu, Xiaowei Cai, Zhihe Fu, Xingkui Mao

“…With the development of power conversion systems or bidirectional grid-connected inverters characterized by high DC voltage, high efficiency, and high-power density, high-switching-frequency SiC power switches are being widely used, and these require a short computational time of control algorithm. …”
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Space Trajectory Planning with a General Reinforcement-Learning Algorithm by Andrea Forestieri, Lorenzo Casalino

“…Space trajectory planning is a complex combinatorial problem that requires selecting discrete sequences of celestial bodies while simultaneously optimizing continuous transfer parameters. …”
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Large-Scale AI-Based Structure and Activity Prediction Analysis of ShK Domain Peptides from Sea Anemones in the South China Sea by Ziqiang Hua, Limin Lin, Wanting Yang, Linlin Ma, Meiling Huang, Bingmiao Gao

“…However, these peptides’ structural complexity and diversity have posed challenges for functional prediction. …”
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Sortilin‐Mediated Rapid, Precise and Sustained Degradation of Membrane Proteins via mRNA‐Encoded Lysosome‐Targeting Chimera by Xin Chang, Xinyu Qiu, Xiaoning Tong, Shaoju Gan, Weicheng Yi, Sitao Xie, Xiangsheng Liu, Chao Zuo, Weihong Tan

“…This MedTAC strategy establishes sortilin as a selective and efficient shuttle for targeted protein degradation, offering a scalable, rapidly producible platform for biochemical research and precise therapeutic applications.…”
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A Methodology for the Feasibility Assessment of Using Crop Residues for Electricity Production Through GIS-MCD and Its Application in a Case Study by Fernando Bruno Dovichi Filho, Laura Vieira Maia de Sousa, Electo Eduardo Silva Lora, José Carlos Escobar Palacio, Pedro Tavares Borges, Regina Mambeli Barros, René Lesme Jaen, Marcelo Risso Errera, Quelbis Roman Quintero

“…The last Intergovernmental Panel on Climate Change reports recommend a shift to renewables and a more energy-efficient economy. To fulfill the potential of bioenergy, tools are required to overcome the complexities of the decision-making processes for viable projects. …”
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Cavitation Dynamics and Vorticity Analysis of a Clark-Y Hydrofoil and a Venturi Geometry Based on the DCM by Jing Li, Chunbao Liu

“…We compare hydrodynamic coefficients, cavity characteristics, and time-averaged velocity with available experimental results. …”
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Dual-Resource Scheduling with Improved Forensic-Based Investigation Algorithm in Smart Manufacturing by Yuhang Zeng, Ping Lou, Jianmin Hu, Chuannian Fan, Quan Liu, Jiwei Hu

“…In the first stage, an improved multi-objective FBI algorithm is used to obtain the Pareto front solutions of this model, in which a hybrid real and integer encoding–decoding method is used for exploring the solution space and a fast non-dominated sorting method for improving efficiency. In the second stage, a multi-criteria decision analysis method based on an analytic hierarchy process (AHP) is used to select the optimal solution from the Pareto front solutions. …”
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Detection of Mycotoxins in Cereal Grains and Nuts Using Machine Learning Integrated Hyperspectral Imaging: A Review by Md. Ahasan Kabir, Ivan Lee, Chandra B. Singh, Gayatri Mishra, Brajesh Kumar Panda, Sang-Heon Lee

“…Mycotoxins exhibit heightened sensitivity to specific spectral bands within HSI, facilitating accurate detection. Additionally, selecting only relevant spectral features reduces ML model complexity and enhances reliability in the detection process. …”
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