Magnetic soliton-based LIF neurons for spiking neural networks (SNNs) in multilayer spintronic devices by Kishan K. Mishra

“…Neuromorphic computing, inspired by biological nervous systems, is gaining traction due to its advantages in latency, energy efficiency, and algorithmic complexity compared to traditional artificial neural networks. …”
Get full text

3D reconstruction of toys based on adaptive scaled neural radiation field by Jiajun Zou, Shaojiang Liu, Feng Wang, Weichuan Ni, Shitong Ye

“…The NeRF model is enhanced to incorporate an adaptive scaling mechanism that dynamically optimizes rendering sampling accuracy according to the local complexity of the scene. Spectral sensing techniques are integrated to reproduce the true colors of materials accurately. …”
Get full text

Time Series Data Generation Method with High Reliability Based on ACGAN by Fang Liu, Yuxin Li, Yuanfang Zheng

“…Most of the existing data generation methods do not consider temporal characteristics in order to reduce complexity. This can lead to insufficient feature extraction capability. …”
Get full text

MGFNet: An MLP-dominated gated fusion network for semantic segmentation of high-resolution multi-modal remote sensing images by Kan Wei, JinKun Dai, Danfeng Hong, Yuanxin Ye

“…To address this issue, this paper proposes a multi-layer perceptron (MLP) dominated gate fusion network (MGFNet). …”
Get full text

Presenting a Flood Hazard Assessment Model in Hamedan Province to Classify Vulnerability and Possible Consequences in Population Centers by Ali Vejdani Nozar, Saeed Givehchi

“…In this method, by implementing and combining standard layers of influential parameters through fuzzy AHP and flood risk layer obtained through standardized matrix of experts' opinions in GIS software, a flood risk map is prepared, and then population centers (cities) are classified. …”
Get full text

Dual-Ascent-Inspired Transformer for Compressed Sensing by Rui Lin, Yue Shen, Yu Chen

“…The architecture features an innovative asymmetric primal–dual space at each iteration layer, enabling dimension-specific operations that balance reconstruction quality with computational efficiency. …”
Get full text

Multimodal approach to public health interventions using EGG and mobile health technologies by Xiao Zhang, Han Liu, Mingyang Sun, Shuangyi Feng

“…Through a multi-scale fusion layer, PH-CLIP enhances interpretability and robustness in EEG embeddings, thereby supporting more accurate and scalable interventions across diverse public health applications.Results and discussionExperimental results indicate that PH-CLIP achieves significant improvements in EEG classification accuracy and mental health prediction efficiency compared to leading EEG analysis models. …”
Get full text

Development of a Data‐Driven Lightning Scheme for Implementation in Global Climate Models by Vincent Verjans, Christian L. E. Franzke

“…In particular, we design a tree‐based regression scheme, representing different lightning regimes with separate single hidden layer neural networks of low dimensionality. We apply multiple complexity constraints in the development stages, which makes our lightning scheme straightforward to implement within global climate models (GCMs). …”
Get full text

Methodology for assessing the stability and evaporation of volatile substances from the soil by Kochetova Zh. Yu., Shishkin A. V., Velikanov A. V.

“…This process is associated with certain difficulties caused, first of all, by the complexity of modeling the emission of toxicants from soils in laboratory conditions, and the duration of the process. …”
Get full text

Crowd Evacuation Dynamics Under Shooting Attacks in Multi-Story Buildings by Dianhan Chen, Peng Lu, Yaping Niu, Pengfei Lv

“…Mass shootings result in significant casualties. Due to the complexity of buildings, capturing crowd dynamics during mass shooting incidents is particularly challenging. …”
Get full text

Federated Deep Learning for Scalable and Explainable Load Forecasting in Privacy-Conscious Smart Cities by Ibrahim Alzamil

“…These shifts introduce significant complexity into electricity load forecasting, challenging conventional centralized AI models. …”
Get full text

A Novel Dilated Convolution Light Weight Neural Network (DCLW-NN) for the Classification of Breast Thermograms by S. Malathi, A. Shenbagavalli, N. Sriraam

“…Lastly, the categorization layer of the CNN model is replaced with Support Vector Machine(SVM) classifier with L2 regularization and found the prospects of DCLW-NN Classifier. …”
Get full text

Time-Domain ADC and Security Co-Design for SiP-Based Wireless SAW Sensor Readers by Zhen Mao, Bing Li, Linning Peng, Jinghe Wei

“…The signal-processing architecture of passive surface acoustic wave (SAW) sensors presents significant implementation challenges due to its radar-like operational principle and the inherent complexity of discrete component-based hardware design. …”
Get full text

Unending dialectical politics of identity in Ethiopia [version 1; peer review: 2 approved] by Tefera Assefa

“…One of the primary challenges in Ethiopian present political discourse is misconception, complexity, and contradiction between ethnic identity (የብሄር ማንነት) and civic identity or citizenship (የዜግነት ማንነት), which must be addressed in Ethiopian political discourse. …”
Get full text

Navigating competing needs: a qualitative study on parenthood with a partner with Huntington’s disease by Kristin J. Billaud Feragen, Sidsel Egedal, Siri Hagen Kjolaas

“…The aim of the study was to explore how parents without HD experience and manage parenthood when their partner is affected by HD.Methods Qualitative interviews with 14 caregivers were analysed using reflexive thematic analysis.Results Three main themes with corresponding subthemes were identified, followed by an underlying theme: Genetic risk: An underlying layer of complexity. The first theme, Balancing competing demands, describes the challenges involved when attempting to attend to conflicting needs within the family. …”
Get full text

A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model by Muhammad Hanif Lashari, Shakil Ahmed, Wafa Batayneh, Ashfaq Khokhar

“…The method integrates the optimization problem into the Informer model by embedding constraints such as energy efficiency, smoothness, and robustness into its training process using a differentiable optimization layer. The Informer framework uses features such as ProbSparse attention, attention distilling, and a generative-style decoder to focus on position-critical features while maintaining a low computational complexity of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="script">O</mi><mo>(</mo><mi>L</mi><mo form="prefix">log</mo><mi>L</mi><mo>)</mo></mrow></semantics></math></inline-formula>. …”
Get full text

A Graphite Ore Grade Recognition Method Based on Improved Inception-ResNet-v2 Model by Xueyu Huang, Renjie Pan, Jionghui Wang

“…To address the variability and low timeliness of traditional manual methods and the limited accuracy of deep learning due to image complexity and feature similarity, we propose an improved Inception-ResNet-v2 model for graphite ore grade recognition. …”
Get full text

Experimental Study on Effects of Lateral Spacing on Flame Propagation over Solid Fuel Matrix by Xin Xu, Yanyan Ma, Guoqing Zhu, Zhen Hu, Yumeng Wang

“…The increasing complexity of urban structures has significantly elevated the risk and severity of façade fires in high-rise buildings. …”
Get full text

A double deletion prevents replication of the pestivirus bovine viral diarrhea virus in the placenta of pregnant heifers. by Jolene Carlson, Robert Kammerer, Jens Peter Teifke, Julia Sehl-Ewert, Christiane Pfarrer, Gregor Meyers

“…Genes important for the innate immune response were strongly upregulated by the mutant virus compared to the wild type in caruncle epithelial cells that establish the cell layer on the maternal side at the maternal-fetal interface in the placenta. …”
Get full text

Medium-Term Minimum Demand Forecasting Based on the Parallel LSTM-MLP Model by Dosung Kim, Deukyoung Lee, Sung-Kwan Joo, Young-Min Wi

“…Furthermore, the proposed parallel long short-term memory (LSTM)-multi layer perception (MLP) model extracts annual temporal characteristics, learns non-linear relationships, and captures patterns. …”
Get full text