Joint Exploitation of Physical-Layer and Artificial Features for Privacy-Preserving Distributed Source Camera Identification by Hui Tian, Haibao Chen, Yuyan Zhao, Jiawei Zhang

Get full text

Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems by Mahzabeen Emu, Taufiq Rahman, Salimur Choudhury, Kai Salomaa

“…This approach leverages the unique computational advantages of quantum computing, particularly in processing complex temporal data, potentially leading to more accurate and efficient dynamic systems in vehicular platoon infrastructure. …”
Get full text

Vertical Electrolyte‐Gated Transistors: Structures, Materials, Integrations, and Applications by Bin Bao, Ting Zhang, Junlei Xie, Jin Wu, Gang He, Lang Jiang, Yanlin Song, Shouguo Wang

“…Abstract Biological synapse‐inspired electrolyte‐gated transistors have received broad attention recently as a competitive candidate for constructing artificial intelligence (AI) systems to meet the data memorizing and processing challenges brought by the big data era. Vertically structured electrolyte‐gated transistors, which decouple the channel length of the transistors from the resolution of photolithography and printing techniques, enjoy significantly improved electrical performances compared to their planar counterparts. …”
Get full text

Railway Cloud Resource Management as a Service by Ivaylo Atanasov, Dragomira Dimitrova, Evelina Pencheva, Ventsislav Trifonov

“…Cloud computing has the potential to accelerate the digital journey of railways. …”
Get full text

Dynamic Edge Loading Balancing with Edge Node Activity Prediction and Accelerating the Model Convergence by Wen Chen, Sibin Liu, Yuxiao Yang, Wenjing Hu, Jinming Yu

“…In mobile edge computing networks, achieving effective load balancing across edge server nodes is essential for minimizing task processing latency. …”
Get full text

Parallel Multi-Model Energy Demand Forecasting with Cloud Redundancy: Leveraging Trend Correction, Feature Selection, and Machine Learning by Kamran Hassanpouri Baesmat, Zeinab Farrokhi, Grzegorz Chmaj, Emma E. Regentova

“…We also introduced a processing step to ensure accurate predictions for holidays. …”
Get full text

Task migration with deadlines using machine learning-based dwell time prediction in vehicular micro clouds by Ziqi Zhou, Agon Memedi, Chunghan Lee, Seyhan Ucar, Onur Altintas, Falko Dressler

“…First, we present a task migration algorithm supporting deadlines in vehicular edge computing. The algorithm is following the earliest deadline first model but in presence of dynamic processing resources, i.e, vehicles joining and leaving a VMC. …”
Get full text

Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction by Ritesh Dash, Anupa Sinha, Abinash Mahapatro, Bhabasis Mohapatra, Binod Kumar Sahu

“…A total of 12 features including operational variables and nonlinear combinations are pre-processed using outlier detection normalization and interpolation techniques. …”
Get full text

Business process analysis of university admissions: Combining TM Forum’s eTOM framework, discrete-event simulation, and queuing theory by Konstantin M. Terentyev, Leyla D. Abuzyarova, Irina A. Kochetkova, Konstantin E. Samouylov

Get full text

Optimal features assisted multi-attention fusion for robust fire recognition in adverse conditions by Inam Ullah, Nada Alzaben, Yousef Ibrahim Daradkeh, Mi Young Lee

“…This novel progressive attention-over-attention framework achieves state-of-the-art (SOTA) performance while maintaining computational efficiency. Our approach introduces three key innovations: Firstly, Convolutional Self-Attention (CSA), integrating global self-attention with convolution through dynamic kernels and trainable filters for enhanced low-level fire feature processing. …”
Get full text

HPC-T-Assembly: a pipeline for de novo transcriptome assembly of large multi-specie datasets by Franco Liberati, Taiel Maximiliano Pose Marino, Paolo Bottoni, Daniele Canestrelli, Tiziana Castrignanò

“…Results To address computational challenges in transcriptomic analyses of non-model organisms, we present HPC-T-Assembly, a tool for de novo transcriptome assembly from RNA-seq data on high-performance computing (HPC) infrastructures. …”
Get full text

An efficient parallel runoff forecasting model for capturing global and local feature information by Yang-hao Hong, Dong-mei Xu, Wen-chuan Wang, Hong-fei Zang, Xiao-xue Hu, Yan-wei Zhao

“…Additionally, due to the opacity in feature distribution processes of AI models, SHAP (Shapley Additive exPlanations) analysis was used to evaluate the contribution of each feature variable to long-term runoff trends. …”
Get full text

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

“…Furthermore, when deployed on Jetson Orin NX, YOLOLS achieves 44.6 FPS, ensuring real-time processing capability. Compared to other lightweight YOLO variants, YOLOLS achieves a better balance between accuracy, computational efficiency, and inference speed, making it an optimal solution for real-time insulator defect detection in resource-constrained edge computing environments.…”
Get full text

Perancangan Software As A Service (SAAS) untuk Sistem Pelayanan Kesehatan Ibu dan Anak (PKIA) pada Puskesmas Se-Kota Mataram Berbasis Cloud Computing by Andy Hidayat Jatmika, Royana Afwani, Nadiyasari Agitha

“…The problems that arise from public health centers are: a long service process which includes patient data collection and patient data retrieval, and the number of errors in the processing of patient data, such as registration data, examination data, and referral data. …”
Get full text

Parametric Structure Optimization Design of High-Pressure Abrasive Water Jet Nozzle Based on Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) by Lin Wu, Xiang Zou, Yuan Guo, Liandong Fu

Get full text

Supplementing the Build Activity in Design Science Research with Soft Systems Methodology: A Technique of Creating Frameworks for Guiding Interventions Against Unstructured Problem... by Agnes Nakakawa, Fiona P. M. Tulinayo, Geoffrey O. Tabo, Patrick van Bommel, Hans B. F. Mulder, Henderik A. Proper

Get full text

Evaluation and Structural Optimisation of 0.6 m Impulse Turbine in Dolphin Wave Energy Conversion Device Through Computational Fluid Dynamics and Generative Design by Szymon Szatkowski, Daniel Gonzalez Delgado, Pablo Jaen-Sola, Erkan Oterkus

Get full text

A549 in-silico 1.0: A first computational model to simulate cell cycle dependent ion current modulation in the human lung adenocarcinoma. by Sonja Langthaler, Theresa Rienmüller, Susanne Scheruebel, Brigitte Pelzmann, Niroj Shrestha, Klaus Zorn-Pauly, Wolfgang Schreibmayer, Andrew Koff, Christian Baumgartner

Get full text

Investigation of potential KRASG12D inhibitors: a comparative study between MRTX1133 and natural compounds via computational structural biology approaches by Safiye Merve Bostancioglu, Ahmet Acar

Get full text

Deep learning based rapid X-ray fluorescence signal extraction and image reconstruction for preclinical benchtop X-ray fluorescence computed tomography applications by Amrit Kaphle, Sandun Jayarathna, Sang Hyun Cho

“…Notably, the DL approach (vs. the conventional approach) reduced the total post-processing time per slice from approximately 6 min to just 1.25 s.…”
Get full text