Multidisciplinary approach to treating complex immune dysregulation disorders: an adaptive model for institutional implementation by Lauren A. Henderson, Roshini S. Abraham, Aisha Ahmed, Lindsey Blount, Scott W. Canna, Natalia S. Chaimowitz, Shanmuganathan Chandrakasan, Bria Coates, James A. Connelly, Megan A. Cooper, Christine N. Duncan, Anthony French, Melissa Hazen, Michelle L. Hermiston, Brian Nolan, Anish Ray, Melissa J. Rose, Lisa Forbes Satter, Lisa Forbes Satter, Grant Schulert, Sara Kristen Sexson Tejtel, Tiphanie Vogel, Tiphanie Vogel, Kelly Walkovich, Matt S. Zinter, Edward M. Behrens

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SAR 3D Reconstruction Based on Multi-Prior Collaboration by Yangyang Wang, Zhenxiao Zhou, Zhiming He, Xu Zhan, Jiapan Yu, Xingcheng Han, Xiaoling Zhang, Zhiliang Yang, Jianping An

“…Then, a collaborative equilibrium framework based on Mann iteration is presented to solve the optimization problem of 3D reconstruction, which can ensure convergence to an equilibrium point and achieve the joint optimization of all modules. …”
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BiDFNet: A Bidirectional Feature Fusion Network for 3D Object Detection Based on Pseudo-LiDAR by Qiang Zhu, Yaping Wan

“…The proposed model addresses key challenges in multimodal 3D detection by introducing three novel components: (1) the SAF-Conv module, which extends the receptive field through improved submanifold sparse convolution, enhancing feature extraction from pseudo-point clouds while effectively reducing edge noise; (2) the bidirectional cross-modal attention feature interaction module (BiCSAFIM), which employs a multi-head cross-attention mechanism to enable global information interaction between point cloud and image features; and (3) the attention-based feature fusion module (ADFM), which adaptively fuses dual-stream features to improve robustness. …”
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Maximum mean square deviation adaptive filtering algorithm with the same step-size via convex combination by Guo-sheng RUI, Jun MIAO, Yang ZHANG, Lin WANG

“…Aimed at poor tracking performance of NLMS filter and filter under time-varying channel,a same step-size convex combination of the maximum mean square deviation algorithm was presented.The algorithm convexly combined two different adaptive filters with the same step-size based on a criterion of maximum mean square deviation.So the proposed filter could keep good dynamic performance in the time-varying channel and stability of mean square characteristics in convergence stage.Theoretical analysis and simulation results show that in the sparse and non-sparse state the proposed algorithm indicates the fastest convergence rate compared with NLMS,PNLMS and IPNLMS algorithm.In the fuzzy state,the performance of proposed algorithm is superior to the above three.Additionally,the steady-state performance of mean square also keeps well.…”
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Model-Based Adaptive Iterative Hard Thresholding Compressive Sensing in Sensor Network for Volcanic Earthquake Detection by Guojin Liu, Qian Zhang, Yuyuan Yang, Zhenzhi Yin, Bin Zhu

“…The paper contribution is two-fold. Firstly, a sparse measurement matrix with theoretical analysis of its restricted isometry property (RIP) is designed to simplify the acquisition process, thereby reducing required storage space and computational demands in sensors. …”
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Machine Vision-Assisted Design of End Effector Pose in Robotic Mixed Depalletizing of Heterogeneous Cargo by Sebastián Valero, Juan Camilo Martinez, Ana María Montes, Cesar Marín, Rubén Bolaños, David Álvarez

“…Validation through both simulated and real-world experiments demonstrates the feasibility and accuracy of this approach in complex industrial settings, highlighting potential improvements in the efficiency and adaptability of automated depalletizing systems.…”
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The Adaption of Recent New Concepts in Neural Radiance Fields and Their Role for High-Fidelity Volume Reconstruction in Medical Images by Haill An, Jawad Khan, Suhyeon Kim, Junseo Choi, Younhyun Jung

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Review of frequency response strategies in renewable-dominated power system grids: Market adaptations and unit commitment formulation by Azeez O. Olasoji, D.T.O. Oyedokun, Samuel O. Omogoye, Chris Thron

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A Novel Phase Error Estimation Method for TomoSAR Imaging Based on Adaptive Momentum Optimizer and Joint Criterion by Muhan Wang, Silin Gao, Xiaolan Qiu, Zhe Zhang

“…In addition, our approach introduces a joint iterative solution framework, which incorporates a modified accelerated iterative shrinkage-threshold sparse recovery algorithm and an adaptive momentum optimizer for interchannel phase error estimation in a gradient descent manner. …”
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Fast Restoration of Aberration-Degraded Extended Object Based on Local Region Abstraction by Lianghua Wen, Ping Yang, Shuai Wang, Shanqui Chen, Wenjing LIU, Wei Bai, Zhiqiang Xu, Feilong Wang, Bing Xu

“…To improve the correction capability of WFSless AO system, a method based on local region abstraction (LRA) is presented according to the sparse characteristics of extended object imaging. …”
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AI-Driven Smart Agriculture: An Integrated Approach for Soil Analysis, Irrigation, and Crop-Fertilizer Recommendations by Ayesha Khaliq, Atif Khan, Salman Jan, Muhammad Umair, Asad Gulshair, Ahmad Ali, Usman Ali Shah

“…Future work will explore real-time adaptive control mechanisms and expand model generalization across diverse geographical region.…”
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FragMangro: A cross-domain zero-shot model for monitoring fragmented mangrove ecosystems by Ruoxin Zhang, Angela An, Mingcan Cen, Chong Zhang, Aimee Huangfu, Sunny Vinnakota, Shuxiang Song

“…Abstract Monitoring fragmented mangrove ecosystems presents significant challenges due to their sparse distribution and the limitations of traditional detection methods, which often suffer from poor convergence and high rates of false positives and false negatives. …”
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When Remote Sensing Meets Foundation Model: A Survey and Beyond by Chunlei Huo, Keming Chen, Shuaihao Zhang, Zeyu Wang, Heyu Yan, Jing Shen, Yuyang Hong, Geqi Qi, Hongmei Fang, Zihan Wang

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Continual familiarity decoding from recurrent connections in spiking networks. by Viktoria Zemliak, Gordon Pipa, Pascal Nieters

“…Familiarity memory enables recognition of previously encountered inputs as familiar without recalling detailed stimuli information, which supports adaptive behavior across various timescales. We present a spiking neural network model with lateral connectivity shaped by unsupervised spike-timing-dependent plasticity (STDP) that encodes familiarity via local plasticity events. …”
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Active Inference-Driven Multi-Armed Bandits: Superior Performance through Dynamic Correlation Adjustments by Lin Xiaoqi

“…This paper presents a novel MAB framework that integrates Active Inference through a dynamic Adaptive Influence Factor (AIF) mechanism. …”
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Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network by Anupama V, Sudheep Elayidom M

“…At first, the data transformation is applied considering the log kernel to improve data quality. Then, the Sparse Fuzzy C-Means Clustering (Sparse FCM) is employed to choose imperative features. …”
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A Novel Technique for the Extraction of Dynamic Events in Extreme Ultraviolet Solar Images by Petra Kosová Kalenská, Pavel Rajmic, Karolína Gebrtová, Miloslav Druckmüller

“…The latter has the properties of a so-called sparse matrix, and the proposed methods are classified as methods based on sparse representations. …”
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Spectrum Sensing Using Fast Slepian Transform for Cognitive Radio Networks by Aman Kumar, Indrasen Singh, Dilip Kumar Choudhary

“…Traditional methods like energy detection often suffer from high false alarm rates and poor detection performance under noise. This paper presents a spectrum sensing approach based on the Fast Slepian Transform (FST), which leverages the time-frequency concentration properties of Discrete Prolate Spheroidal Sequences (DPSS) to project received signals into a sparse spectral domain. …”
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Minimum time control for path tracking problem of intelligent vehicle handling in inverse dynamics by Shanshan Guo, Yingjie Liu

“…In order to solve the path tracking problem of vehicle, a high-precision approach for the vehicle path tracking optimization of based on the adaptive sparse collocation method (ASC) is presented. …”
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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

“…Additionally, an efficient adaptive solver is developed to improve convergence speed. …”
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