Research on multi-objective energy optimization design for multi-story residential buildings in Suzhou region based on artificial neural networks by Zhongcheng Duan, Leilei Wang, Binhao Li, Gang Yao

“…The NSGA-III algorithm was then dynamically linked with the ANN, iterating based on predefined objectives and adjusting inputs to produce 200 Pareto front solutions. …”
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Long Short-Term Memory as a Rainfall Forecasting Model for Bogor City in 2025-2026 by Nur Anggraini Fadhilah, Muhammad Abshor Dzulhij Rizki, Muhammad Ryan Azahran, Siti Arbaynah, Rakesha Putra Antique Yusuf, Yenni Angraini, Muhammad Rizky Nurhambali

“…The best-performing model was achieved with 25 epochs and a batch size of 1, resulting in an average RMSE of 56.3340, MAE of 35.5223, and correlation of 0.3209. …”
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Rapid exometabolome footprinting combined with multivariate statistics: A powerful tool for bioprocess optimization by Alexander Reiter, Lars Wesseling, Wolfgang Wiechert, Marco Oldiges

“…Only a few studies have been published that provide information on bioprocess development, with media optimization and fed‐batch cultivation procedure being particularly promising areas. …”
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A Bayesian active learning platform for scalable combination drug screens by Christopher Tosh, Mauricio Tec, Jessica B. White, Jeffrey F. Quinn, Glorymar Ibanez Sanchez, Paul Calder, Andrew L. Kung, Filemon S. Dela Cruz, Wesley Tansey

“…Here we propose BATCHIE, an orthogonal approach that conducts experiments dynamically in batches. BATCHIE uses information theory and probabilistic modeling to design each batch to be maximally informative based on the results of previous experiments. …”
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Zoom Auxiliary Imaging Lens Design for a Modulation Transfer Function Test System by Yicheng Sheng, Sihan Xu, Caishi Zhang, Binghua Su, Dingxiang Cao, Zhe Chen

“…The auxiliary imaging lenses of the current MTF test system typically use fixed-focus optical systems, which are unable to meet the test scenarios of fast and batch measurement and measure lenses with an extensive focal length range. …”
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A secure and efficient public auditing system of cloud storage based on BLS signature and automatic blocker protocol by Baidaa Abdulrahman Jalil, Taha Mohammed Hasan, Ghassan Sabeeh Mahmood, Hazim Noman Abed

“…The proposed system also realizes batch auditing and data dynamic process. In addition, the proposed system enhances the level of security authentication through an Automatic Blocker Protocol (ABP) to protect the system from unauthorized TPA. …”
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Performance evaluation of photovoltaic scenario generation by Siyu Ren, Tongxin Yang, Jun Luo, Gang Wu, Gang Wu, Kai Mao, Bowen Liu

“…., cloud cover, seasonal variations) from individual or batch-generated samples. To address these limitations, this paper proposes an evaluation framework based on the wide-sense stationary process. …”
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Laor Initialization: A New Weight Initialization Method for the Backpropagation of Deep Learning by Laor Boongasame, Jirapond Muangprathub, Karanrat Thammarak

“…It performed optimally with a batch size of 32 and a learning rate between 0.001 and 0.01. …”
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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

“…Yet, current approaches train their models offline in a batch-based approach, even though storage systems are processing a stream of file requests with dynamic workloads. …”
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Accelerating Streaming Subgraph Matching via Vector Databases by Liuyi Chen, Yi Ding, Xushuo Tang, Fangyue Chen, Siyuan Gong, Xu Zhou, Zhengyi Yang

“…This is particularly important in real-time applications such as dynamic monitoring and network anomaly detection, where quick query responses are essential. …”
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Drive-by damage detection based on the use of CWT and sparse autoencoder applied to steel truss railway bridge by Lorenzo Bernardini, Francesco Morgan Bono, Andrea Collina

“…Globally, promising damage detection performances were obtained when considering batches of 40 trains, even in presence of measurement noise and speed estimation inaccuracies.…”
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A multi task learning framework using DeBERTa and BWO optimization for enhancing long term english vocabulary memory by Jiasheng Zhu

“…A multi-task learning model based on DeBERTa is constructed to perform part-of-speech classification and meaning matching tasks on the target words respectively, and to introduce synonyms, antonyms and words with similar spellings for interference testing during the training process to simulate real memory scenarios. BWO is used to dynamically adjust the key hyperparameters of the DeBERTa model, such as the learning rate, batch size, and loss weight, to keep it in the optimal state at different learning stages. …”
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Uncertainty-driven active learning in a deep semi-supervised framework for WCE image classification by Prabhanantha Kumar Muruganantham, Senthil Murugan Balakrishnan

“…To reduce model uncertainty, batch acquisition selects the most informative samples from an unlabelled data pool based on minimum redundancy and maximum predictive entropy. …”
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KyberSlash: Exploiting secret-dependent division timings in Kyber implementations by Daniel J. Bernstein, Karthikeyan Bhargavan, Shivam Bhasin, Anupam Chattopadhyay, Tee Kiah Chia, Matthias J. Kannwischer, Franziskus Kiefer, Thales B. Paiva, Prasanna Ravi, Goutam Tamvada

“…First, we patch the dynamic analysis tool Valgrind to allow detection of variable-time instructions operating on secret data, and apply it to more than 1000 implementations of cryptographic primitives in SUPERCOP. …”
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A MEMS Fiber-Optic Fabry-Perot Vibration Sensor for High-Temperature Applications by Jiang Qian, Pinggang Jia, Hua Liu, Qianyu Ren, Jia Liu, Li Qin, Jijun Xiong

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Digital automation of transdermal drug delivery with high spatiotemporal resolution by Yihang Wang, Zeka Chen, Brayden Davis, Will Lipman, Sicheng Xing, Lin Zhang, Tian Wang, Priyash Hafiz, Wanrong Xie, Zijie Yan, Zhili Huang, Juan Song, Wubin Bai

“…Here, we report a spatiotemporal on-demand patch (SOP) that integrates drug-loaded microneedles with biocompatible metallic membranes to enable electrically triggered active control of drug release. …”
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Impacts and Prediction of Land Use/Cover Change on Runoff in the Jinghe River Basin, China by Ling Zhang, Weipeng Li, Zhongsheng Chen, Ruilin Hu, Zhaoqi Yin, Chanrong Qin, Xueqi Li

“…This study is based on the Soil and Water Assessment Tool (SWAT) and Patch-generating Land Use Simulation (PLUS) models, and quantitatively analyzes the effect of LUCC on runoff in the Jinghe River Basin (JRB) through land use data from 2000 to 2020 and predicted scenarios for 2030 that encourage development, farmland protection, and ecological protection. …”
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ESFormer: A Pillar-Based Object Detection Method Based on Point Cloud Expansion Sampling and Optimised Swin Transformer by Zhuoxuan Zhao, Qianchun Li, Shengyu Hao, Xinyan Huang, Fan Zhang

“…However, traditional object detection methods often face the challenge of difficulty in balancing detection accuracy and processing speed when dealing with the dynamic characteristics of fast-moving objects. To this end, this study proposes an innovative target detection method based on Pillar point cloud, by designing a point cloud enhancement module called the Point Cloud Expansion Sampling Tool (PCES-Tool) and combining it with a Swin Transformer architecture based on optimized patch partition (Swin-T+). to solve the above problems. …”
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Spatiotemporal characteristics and multi-scenario simulation of territorial space carbon sink conflicts in the Sichuan-Yunnan ecological barrier region, China by Weijie Li, Yong Wang

“…However, previous research mainly focuses on the measurement, dynamic characteristics and driving factors of the current carbon sink, seldom considers the impacts of the future territorial space conflict on the carbon sink, especially in ecologically fragile areas. …”
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A passive Lab-on-PCB microsystem for non-enzymatic quantification of glucose by Pavlos Menelaou, Yujiang Zhu, Anna Regoutz, Despina Moschou

“…This paper presents and successfully demonstrates a new form of passive Lab-on-printed circuit board (PCB) diagnostic platform for the quantification of glucose, as required for pumpless applications such as wearable diagnostic patches. The platform exploits copper oxide (CuO) nanoparticles for non-enzymatic, electrochemical glucose quantification, to achieve the high sensitivity and linear range of operation that is necessary for sweat or interstitial fluid sample analysis. …”
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