Mission Sequence Model and Deep Reinforcement Learning-Based Replanning Method for Multi-Satellite Observation by Peiyan Li, Peixing Cui, Huiquan Wang

“…In this paper, we tackle the problem of multi-satellite rapid mission replanning under dynamic batch-arrival observation requests. …”
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Employing Streaming Machine Learning for Modeling Workload Patterns in Multi-Tiered Data Storage Systems by Edson Ramiro Lucas Filho, George Savva, Lun Yang, Kebo Fu, Jianqiang Shen, Herodotos Herodotou

“…Modern multi-tiered data storage systems optimize file access by managing data across a hybrid composition of caches and storage tiers while using policies whose decisions can severely impact the storage system’s performance. …”
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Applying Multi-Task Deep Learning Methods in Electricity Load Forecasting Using Meteorological Factors by Kai-Bin Huang, Tian-Shyug Lee, Jonathan Lee, Jy-Ping Wu, Leemen Lee, Hsiu-Mei Lee

“…Using real data from a commercial building in Taiwan, this study explores the effects of varying batch sizes (100, 125, 150, and 200) on the model’s performance. …”
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Metadata Enriched Multi-Instance Contrastive Learning for High-Quality Facial Skin Visual Representations by Jihyo Kim, Sungchul Kim, Seungwon Seo, Bumsoo Kim, Daejeong Mun, Hoonjae Lee, Sangheum Hwang

“…Our method leverages metadata to establish effective multi-instance contrastive relationships specifically for facial skin images. …”
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Research on Flexible Job Shop Scheduling Method for Agricultural Equipment Considering Multi-Resource Constraints by Zhangliang Wei, Zipeng Yu, Renzhong Niu, Qilong Zhao, Zhigang Li

“…The agricultural equipment market has the characteristics of rapid demand changes and high demand for machine models, etc., so multi-variety, small-batch, and customized production methods have become the mainstream of agricultural machinery enterprises. …”
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Bridging cell morphological behaviors and molecular dynamics in multi-modal spatial omics with MorphLink by Jing Huang, Chenyang Yuan, Jiahui Jiang, Jianfeng Chen, Sunil S. Badve, Yesim Gokmen-Polar, Rossana L. Segura, Xinmiao Yan, Alexander Lazar, Jianjun Gao, Bing Yao, Michael Epstein, Linghua Wang, Jian Hu

“…Abstract Multi-modal spatial omics data are invaluable for exploring complex cellular behaviors in diseases from both morphological and molecular perspectives. …”
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Multi-Index Quantitative Analysis of Pharyngiyan Tablet Characteristics by Screening Different Quality Control Components by Huan Cao, Liang Zhang, Xiaoning Zhan, Nan Hu, Xueyan Bi, Yanhong Wang

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Minimizing Hallucinations and Communication Costs: Adversarial Debate and Voting Mechanisms in LLM-Based Multi-Agents by Yi Yang, Yitong Ma, Hao Feng, Yiming Cheng, Zhu Han

“…This paper addresses the hallucination issue by proposing a multi-agent LLM framework, incorporating adversarial and voting mechanisms. …”
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Size-exclusion chromatography as a multi-attribute method for process and product characterization of adeno-associated virus by Sri Hari Raju Mulagapati, Arun Parupudi, Tomasz Witkos, Nick Bond, Xiaoyu Chen, Thomas Linke, Guoling Xi, Albert Ethan Schmelzer, Wei Xu

“…Due to the complex manufacturing process and structural features of AAVs, extensive process and product characterization studies are required to better understand product quality and batch-to-batch variability. It is, therefore, critical to develop a fast and reliable analytical method to monitor different product quality attributes (PQAs) of AAVs. …”
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Research on Stacking Distribution of Steel Plates Input Based on Improved Multi-objective Particle Swarm Optimization by ZHONG Chuanjie, CHENG Wenming, DU Run, GAO Xuchao, ZHANG Lin

“…Among the convergence indices, NSGA‒Ⅱ yielded slightly better results than PCDMOPSO with small batch data scales. However, as batch size increased, the mean and variance of the <italic>S</italic> value obtained by PCDMOPSO significantly outperformed the other algorithms. …”
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Integrated multi-omics analysis and predictive modeling of heart failure using sepsis-related gene signature. by Yiping Lang, Tianyu Liang, Fei Li

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Adaptive Intelligent Reflecting Surfaces for Enhanced Wireless Communication via Multi-Agent Deep Reinforcement Learning by Sakhshra Monga, Abhishake Bansal, Ibrahim Aljubayri, Nitin Saluja, Chander Prabha, Shivani Malhotra, Prakash Srivastava, Mohammad Zubair Khan

“…This research introduces an innovative model-free framework for Intelligent Reflecting Surface (IRS) control in multi-user wireless communication systems using Multi-Agent Reinforcement Learning (MARL). …”
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An Enhanced Deep Neural Network Approach for WiFi Fingerprinting-Based Multi-Floor Indoor Localization by Shehu Lukman Ayinla, Azrina Abd Aziz, Micheal Drieberg, Misfa Susanto, Afidalina Tumian, Mazlaini Yahya

“…Additionally, it achieved a Mean Absolute Error (MAE) of 5.08 m and 4.29 m for the respective datasets, highlighting its potential in multi-floored environments.…”
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A convenient viral transduction based method for advanced multi-engineering of primary human (CAR) T-cells by Jort J van der Schans, Afroditi Katsarou, George Kladis, Citlali Bar, Max Medina Ramirez, Maria Themeli, Tuna Mutis

“…Engineering is most often achieved by viral delivery of transgenes, however, viral vector capacity limitations make efficient and reproducible generation of multi transgene expressing T-cell therapeutics technically challenging. …”
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Enhancing LoRA Model Serving Capacity via Adaptive Operator Scheduling for Multi-Tenancy on GPU by Lingnan Xia, Hua Ma

“…The findings illustrate that our design can elevate throughput by up to 1.46 times in cutting-edge multi-tenant LoRA deployments.…”
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A novel multi-species seed pelleting method to improve the efficiency of seed-based ecological restoration by Simone Pedrini

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A multi-visual measurement method for ultimate tensile elongation of steel strand based on spatial characteristics by Xiong Peng, Pengtao Wang, Bingxu Duan, Xingu Zhong, Guihua Wang, Chao Zhao

“…Unlike existing contact or single-camera systems, our approach captures real-time transverse and longitudinal deformations through synchronized multi-view imaging and processes them via an advanced spatial deformation model. …”
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Construction of a prognostic model and identification of key genes in liver hepatocellular carcinoma based on multi-omics data by Kun Tang, Mingjiang Liu, Cuisheng Zhang

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Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform by Hoang Duc Do, Quang Minh Vien, Khang Hoang Vinh Nguyen, Can Duy Le

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COLD-12: A multi-level feature extraction hybrid CNN Model for accurate cotton disease diagnosis by Md. Asraful Sharker Nirob, Prayma Bishshash, A K M Fazlul Kobir Siam

“…It showed advantages compared to state-of-the-art models such as VGG16, VGG19, Xception, DenseNet121, and InceptionResNetV2.The impact of batch size, K-fold cross-validation, and preprocessing techniques was also explored, resulting in improved accuracy and interpretability. …”
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