Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

“…The scene analysis algorithm in interior design is widely used in computer vision. To achieve superior interior design outcomes, it is essential to accurately identify and locate indoor objects and structures. …”
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Machine learning-based investigation of the cancer protein secretory pathway. by Rasool Saghaleyni, Azam Sheikh Muhammad, Pramod Bangalore, Jens Nielsen, Jonathan L Robinson

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Integrating information from historical data into mechanistic models for influenza forecasting. by Alessio Andronico, Juliette Paireau, Simon Cauchemez

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Acetylcholine-gated current translates wake neuronal firing rate information into a spike timing-based code in Non-REM sleep, stabilizing neural network dynamics during memory cons... by Quinton M Skilling, Bolaji Eniwaye, Brittany C Clawson, James Shaver, Nicolette Ognjanovski, Sara J Aton, Michal Zochowski

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Explaining distortions in metacognition with an attractor network model of decision uncertainty. by Nadim A A Atiya, Quentin J M Huys, Raymond J Dolan, Stephen M Fleming

“…In doing so, we provide a computational framework for modelling metacognitive performance in settings where access to explicit confidence reports is not possible.…”
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Network Receptive Field Modeling Reveals Extensive Integration and Multi-feature Selectivity in Auditory Cortical Neurons. by Nicol S Harper, Oliver Schoppe, Ben D B Willmore, Zhanfeng Cui, Jan W H Schnupp, Andrew J King

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Discovering novel lead-free solder alloy by multi-objective Bayesian active learning with experimental uncertainty by Qinghua Wei, Yuanhao Wang, Guo Yang, Tianyuan Li, Shuting Yu, Ziqiang Dong, Tong-Yi Zhang

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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells. by Owen M O'Connor, Mary J Dunlop

“…These methods for analyzing biological and medical data have capitalized on advances from the broader computer vision field. However, cell tracking can present unique challenges, with frequent cell division events and the need to track many objects with similar visual appearances complicating analysis. …”
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Nucleotide binding switches the information flow in ras GTPases. by Francesco Raimondi, Guillem Portella, Modesto Orozco, Francesca Fanelli

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Rhythmic manipulation of objects with complex dynamics: predictability over chaos. by Bahman Nasseroleslami, Christopher J Hasson, Dagmar Sternad

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Nonlinear prediction model of vehicle network traffic management based on the internet of things by Zhijie Peng, Lili Yin

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Exploring high-performance viscosity index improver polymers via high-throughput molecular dynamics and explainable AI by Rui Zhou, Luyao Bao, Weifeng Bu, Feng Zhou

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Simulation of multi-probe radiofrequency ablation guided by optical surgery navigation system under different active modes by Leyi Xu, Ken Cai, Rongqian Yang, Qinyong Lin, Hongwei Yue, Feng Liu

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Variation-resilient spike-timing-dependent plasticity in memristors using bursting neuron circuit by Yize Liu, Jiayi Zhao, Yu Xiao, Peng Chen, Haisong Chen, Enhui He, Peng Lin, Gang Pan

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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

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Deep learning for real-time P-wave detection: A case study in Indonesia's earthquake early warning system by Adi Wibowo, Leni Sophia Heliani, Cecep Pratama, David Prambudi Sahara, Sri Widiyantoro, Dadan Ramdani, Mizan Bustanul Fuady Bisri, Ajat Sudrajat, Sidik Tri Wibowo, Satriawan Rasyid Purnama

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Multi‐scale feature extraction for energy‐efficient object detection in remote sensing images by Di Wu, Hongning Liu, Jiawei Xu, Fei Xie

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Multi-criteria group decision-making using ambiguous sets, Weibull distribution, and aggregation operators: A case study in optimal vendor selection for office supplies by Pritpal Singh, T.W. Liao

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NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion by Yuchen Yang, Jingcheng Liu, Chengting Yu, Chengyi Yang, Gaoang Wang, Aili Wang

“…Spiking neural networks (SNNs) offer a promising avenue for energy-efficient computations on neuromorphic hardware, leveraging the unique advantages of spike-based signaling. …”
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The ab initio non-crystalline structure database: empowering machine learning to decode diffusivity by Hui Zheng, Eric Sivonxay, Rasmus Christensen, Max Gallant, Ziyao Luo, Matthew McDermott, Patrick Huck, Morten M. Smedskjær, Kristin A. Persson

“…These models predict the Li-ion diffusivity with speed and accuracy, offering a cost-effective alternative to expensive density functional theory (DFT) calculations. Furthermore, the process of computational quenching non-crystalline structures provides a unique sampling of out-of-equilibrium structures, energies, and force landscape, and we anticipate that the corresponding trajectories will inform future work in universal machine learning potentials, impacting design beyond that of non-crystalline materials. …”
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