YOLOLS: A Lightweight and High-Precision Power Insulator Defect Detection Network for Real-Time Edge Deployment by Qinglong Wang, Zhengyu Hu, Entuo Li, Guyu Wu, Wengang Yang, Yunjian Hu, Wen Peng, Jie Sun

“…Moreover, the C2f module is restructured into a ResNet–RepConv architecture, in which convolution and Batch Normalization layers are fused during inference to reduce model complexity and enhance inference speed. …”
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Deep Learning-Based MRI Brain Tumor Segmentation With EfficientNet-Enhanced UNet by Pradeep Kumar Tiwary, Prashant Johri, Alok Katiyar, Mayur Kumar Chhipa

“…Experimental findings in brain tumor segmentation tasks show that the proposed model achieves performance on par with or better than recent CNN or Transformer models. …”
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Analysis of two-step photocurrent generation in GaAs:N-based intermediate band solar cells with utilization of device simulation by Md Faruk Hossain, Shuhei Yagi, Hiroyuki Yaguchi

“…An IBSC having a GaAs:N intermediate band (IB) absorber with the same layered structure as experimentally investigated in our previous work is modeled, and its characteristic behavior of external quantum efficiency (EQE) is successfully simulated with the utilization of Silvaco-Atlas software. …”
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Analysis of tire contact stresses and asphalt pavement rutting under gradient temperature and typical driving conditions by Minrui Guo, Pei Liu, Wei Feng, Xiangwen Li, Haitao Ge

“…For this purpose, firstly sophisticated three-dimensional finite element models encompassing the truck-bus tire and asphalt pavement temperature are developed. …”
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Optimal control strategy based on artificial intelligence applied to a continuous dark fermentation reactor for energy recovery from organic wastes by Kelly Joel Gurubel Tun, Elizabeth León-Becerril, Octavio García-Depraect

“…Machine learning (ML) and optimization methods are used to model the nonlinear process and then, a neural predictive control (NPC) strategy to drive the system to its optimal operating order under varying influent conditions is developed. …”
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Mamba-fusion for privacy-preserving disease prediction by Muhammad Kashif Jabbar, Huang Jianjun, Ayesha Jabbar, Anas Bilal

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Energy efficient gateway based routing with maximized node coverage in a UAV assisted wireless sensor network. by Bilal Ahmad, Masroor Ahmed, Nadeem Anjum, Masood Ur Rehman, Naeem Ramzan

“…EHGR is a hybrid multi layer routing protocol for large heterogeneous sensor nodes (smart nodes, basic nodes, user handheld devices etc.) …”
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Optimization and Performance analysis of lead-free KSnBr3-based perovskite solar: A pathway to efficient and Eco-friendly sustainable photovoltaic technology by Rania Saleh Alqurashi, Jack Arayro, A.R. Abd-Elwahed, Jabir Hakami, Kumari Priyanka Sinha, Islam Ragab, Mohamed Abdelsabour Fahmy, Salhah Hamed Alrefaee, Hind Albalawi, M.D. Alshahrani, Arslan Ashfaq

“…Using SCAPS-1D numerical simulations, we comprehensively analyze key photovoltaic parameters, including photoactive layer thickness, charge carrier defect densities, electron affinity, capacitance and conductance, and back contact metal selection. …”
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Immunological AI Optimizer Deployment in a 330 MW Lignite-Fired Unit for NO_x Abatement by Konrad Świrski, Łukasz Śladewski, Konrad Wojdan, Xianyong Peng

“…Real-time temperature data from the AGAM acoustic system inform the combustion optimizer’s fireball modeling, ensuring combustion uniformity. A urea-based SNCR system serves as a secondary layer, controlled based on local furnace conditions to target thermal zones. …”
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Thermophysical Coefficients of Mustard Seeds Grain-Air Mixture under High-Temperature Conditions by A. P. Evdokimov, A. A. Leshchenko

“…The paper highlights that modeling the drying process of mustard seed samples using thermogravimetric moisture measurement enables the identification of the most effective design options for drying chambers. …”
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Numerical Simulation of Vertical Random Vibration of Train-Slab Track-Bridge Interaction System by PEM by Zhi-ping Zeng, Zhi-wu Yu, Yan-gang Zhao, Wen-tao Xu, Ling-kun Chen, Ping Lou

“…The rail, slab, and bridge girder are modeled by three-layer elastic Bernoulli-Euler beams connected with each other by spring and damper elements. …”
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PCB-Based Dual-Polarized Liquid Crystal Reflectarray With High Aperture Efficiency and Bridge-Shaped Biasing Topology for 2D Scanning by Hogyeom Kim, Byeongju Moon, Seungwoo Bang, Seongwoog Oh, Jungsuek Oh

“…The influence of the biasing layer is analyzed in detail using an equivalent circuit model for TE and TM modes. …”
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Comparative study on the thermal performance of dry and wet radiant floor heating under the characteristics of intermittent energy use by ZHOU Wenjie, ZHU Wentao, ZHU Yide, LI Tao

“…The method of CFD simulation is used to analyze the heat dissipation characteristics and thermal comfort of the two floors processes by changing the pipe spacing, the thickness of the filling layer and the heating interval time. …”
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Variations in Bedrock and Vegetation Cover Modulate Subsurface Water Flow Dynamics of a Mountainous Hillslope by S. Uhlemann, L. Peruzzo, C. Chou, K. H. Williams, S. Wielandt, C. Wang, N. Falco, Y. Wu, B. Carr, P. Meldrum, J. Chambers, B. Dafflon

“…Combined with a simplified hydrological model, we show that the thin soil layer of the steep slope acts as a preferential flow path, leading to mostly shallow lateral flow, interrupted by vertical flow, mostly at tree locations, and likely facilitated by flow along fractures and roots. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…Hence chemometrics based on artificial neural network (ANN) algorithms have become increasingly popular in LIBS analysis due to their extraordinary ability in nonlinear feature modeling. The hidden layer activation functions are key to ANN model performance, yet common activation functions usually suffer from problems such as gradient vanishing (e.g., Sigmoid and Tanh) and dying neurons (e.g., ReLU). …”
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Accelerated and accurate cervical cancer diagnosis using a novel stacking ensemble method with explainable AI by Md Ismail Hossain Siddiqui, Shakil Khan, Zishad Hossain Limon, Hamdadur Rahman, Mahbub Alam Khan, Abdullah Al Sakib, S M Masfequier Rahman Swapno, Rezaul Haque, Ahmed Wasif Reza, Abhishek Appaji

“…This study proposes a novel CerviXEnsemble model that integrates multiple pre-trained DL architectures (Inception-ResNetV2, EfficientNet-B6, ResNet152, Inception-ResNetV2, EfficientNet-B6, DenseNet201, and NASNetMobile) as base learners, along with a dense-layer meta-learner that refines and consolidates predictions for improved robustness. …”
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High-Temperature Superconducting Cable Design Based on Individual Insulated Conductors by Peter Cheetham, Jose Viquez, WooJin Kim, Lukas Graber, Chul H. Kim, Sastry V. Pamidi

“…Dielectric characteristics of tapes with a single layer of thicker insulation were compared with those insulated using multiple layers of thinner insulation to evaluate the relative merits of each method. …”
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The Research on Path Planning Method for Detecting Automotive Steering Knuckles Based on Phased Array Ultrasound Point Cloud by Yihao Mao, Jun Tu, Huizhen Wang, Yangfan Zhou, Qiao Wu, Xu Zhang, Xiaochun Song

“…By utilizing the normal vectors, water layer thickness during detection, and the incident angle of the sound beam, the probe pose information corresponding to the detection point was precisely calculated, ensuring the stability of the sound beam incident angle during the detection process. …”
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XAI-Based Framework for Protocol Anomaly Classification and Identification to 6G NTNs with Drones by Qian Sun, Jie Zeng, Lulu Dai, Yangliu Hu, Lin Tian

“…The internal capture processes and matching results of DL models are useful for addressing these issues. …”
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Mathematical simulation of railway track and trackside contamination with silt by V. M. Belkov, M. A. Zhuravlyova

“…To expedite the process and to reduce the costs of measuring the contamination of the track wayside a simulation model for turbulent areas was developed on the grounds of fluctuation theory; depending on the coordinates from the rail head, one sample allows to obtain the full pollution curve for the wayside. …”
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