Optimizing Beam Stiffness and Beam Modal Response with Variable Spacing and Extrusion (VaSE) by Patrick N. Murphy, Richard A. Vittum, Bashir Khoda

“…The algorithm adjusts deposition spacing and width across layers to achieve functionally graded infill distributions derived from input density maps. …”
Get full text

P-GELU: A Novel Activation Function to Optimize Whisper for Darija Speech Translation by Maria Labied, Abdessamad Belangour, Mouad Banane

“…Activation functions play a critical role in optimizing deep learning models, directly influencing gradient flow, convergence stability, and overall translation accuracy. …”
Get full text

Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

“…We hypothesized that face pareidolia results from the visual system's optimization for recognizing both faces and objects. …”
Get full text

Optimal design of coalbed methane wells in mining area with thin to medium thick coal seam group by Ang XU, Shuxun SANG, Xiaozhi ZHOU, Sijie HAN, Jie CHEN, Yunfei FENG, Yi LOU, Zhihua YAN, Wei GAO

“…To enhance CBM extraction, it is vital to reveal the dynamics of stress and fracture fields evolution and optimization well locations and structure. Taking No. 221015 coalface in Shanjiaoshu coal mine as the study area. …”
Get full text

Collaborative optimization design method for water injection layer division and injection-production fluid allocation in high water cut reservoirs by ZHANG Xianmin, LI Shanshan, FENG Qihong, LIU Chen, LIU Xiangbin

“…Through automatic layer division and reorganization of water injection layers， coupled with intelligent matching and adjustment of injection-production parameters， the approach effectively alleviates interlayer conflicts during the high water cut stage， optimizes the flow fields， and achieves balanced displacement across layers. …”
Get full text

Survey of node localization scheme in underwater wireless sensor network by YANG Qiuling, ZHU Rongxin, TANG Zhichao, LI Wenjie, HUANG Xiangdang

“…Based on these findings, potential future directions are outlined, including collaborative optimization across layers with high energy efficiency, the integration of artificial intelligence and edge intelligence, resilient cooperative localization for dynamic topology networks, and the exploration of localization approaches inspired by biology.…”
Get full text

American Sign Language Recognition Model Using Complex Zernike Moments and Complex-Valued Deep Neural Networks by Selda Bayrak, Vasif Nabiyev, Celal Atalar

“…A complex-valued deep neural network (CVDNN) capable of processing the feature vector composed of complex numbers across layers is also developed. CVDNNs are a powerful method capable of addressing the complex optimization issues of traditional deep neural networks more efficiently. …”
Get full text

A Bayesian Network Approach to Predicting Severity Status in Nuclear Reactor Accidents with Resilience to Missing Data by Kaiyu Li, Ling Chen, Xinxin Cai, Cai Xu, Yuncheng Lu, Shengfeng Luo, Wenlin Wang, Lizhi Jiang, Guohua Wu

“…Its hierarchical structure organizes variables across layers, capturing initial conditions, intermediate dynamics, and system responses vital to energy safety management. …”
Get full text

Study on influence of bedding on hydraulic fracture propagation morphologies in Jurassic reservoirs by YUAN Lina, WANG Guangtao, WANG Chengwang, HOU Rui, SUN Feng

“…These findings provide guidance for optimizing hydraulic fracturing operations in Jurassic reservoirs.…”
Get full text

Prediction of permeability and effective porosity values using ANN in Maleh field by Mohammed Essa Nassani, Ali Alaji

“…The ANN outputs predicted permeability and effective porosity values with remarkable accuracy. The network was optimized with a learning rate of 0.05, a momentum coefficient of 0.95, and the LOGSIG activation function, applied across layers. …”
Get full text

Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA by Ali Mehrabi, Yeshwanth Bethi, Andre van Schaik, Andrew Wabnitz, Saeed Afshar

“…By using simple local adaptive selection thresholds, a Winner-Take-All (WTA) constraint on each layer, and a modified weight update rule that is more amenable to hardware, the trainer module allocates neuronal resources optimally at each layer without having to pass high-precision error measurements across layers. …”
Get full text

Research on injection molded parts defect detection algorithm based on multiplicative feature fusion and improved attention mechanism by Rongnan Zhang, Yang Li, Zhiguang Guan

“…This method introduces several key improvements: (1) the MAFHead, a four-detection head based on multiplicative feature fusion, which replaces the original detection head to enhance feature representation; (2) the RepGFPN-SE module, a re-parameterized generalized feature pyramid network that improves detection of small objects by replacing the original C2f. module; (3) and the BiNorma module, employing a bi-level routing attention mechanism to optimize the training process by reducing input distribution changes across layers. …”
Get full text

Mixed precision quantization based on information entropy by Ting Qin, Zhao Li, Jiaqi Zhao, Yuting Yan, Yafei Du

“…Furthermore, the threshold and the sliding window size are treated as hyperparameters, which Optuna optimizes. Model accuracy is the constraint, thereby automating the bit-width allocation across layers. …”
Get full text

SEANet: Semantic Enhancement and Amplification for Underwater Object Detection in Complex Visual Scenarios by Ke Yang, Xiao Wang, Wei Wang, Xin Yuan, Xin Xu

“…SE-FPN combines multi-scale features, optimizing feature representation and improving the synthesis of information across layers. …”
Get full text