Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation With Realistic Scene Modifications via Diffusion-Based Image Editing by Naufal Suryanto, Andro Aprila Adiputra, Ahmada Yusril Kadiptya, Thi-Thu-Huong Le, Derry Pratama, Yongsu Kim, Howon Kim

Get full text

Integrated deep learning framework for driver distraction detection and real-time road object recognition in advanced driver assistance systems by Rakesh Salakapuri, Naveen Kumar Navuri, Thrimurthulu Vobbilineni, G. Ravi, Karthik Karmakonda, K. Asish vardhan

“…This system has (1) distraction detection and (2) output (or scenario) recognition, which combine other systems and codes to evaluate driving scenarios. A decision-making module evaluates the combined data to assess danger levels and prompt either timely warnings or corrective actions. …”
Get full text

Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems by Muhammad Atif Butt, Asad Masood Khattak, Sarmad Shafique, Bashir Hayat, Saima Abid, Ki-Il Kim, Muhammad Waqas Ayub, Ahthasham Sajid, Awais Adnan

“…In step with rapid advancements in computer vision, vehicle classification demonstrates a considerable potential to reshape intelligent transportation systems. …”
Get full text

Classical simulations of noisy variational quantum circuits by Enrico Fontana, Manuel S. Rudolph, Ross Duncan, Ivan Rungger, Cristina Cîrstoiu

“…This is valid for any expectation value that may be efficiently evaluated on a quantum computer. We discuss the practical limitations of the method for circuit classes with correlated parameters and its scaling with decreasing error rates.…”
Get full text

“How can we involve Patients?” - Students’ perspectives on embedding PPIE into a doctoral training centre for AI in medical diagnosis and care by Aron Syversen, Oliver Umney, Lewis Howell, Jack Breen, Emma Briggs, Zoe Hancox, Sobia Khan, Oliver Mills, Victoria Moglia, Mary Paterson, Richard Stephens

Get full text

ML-ROM wall shear stress prediction in patient-specific vascular pathologies under a limited clinical training data regime. by Chotirawee Chatpattanasiri, Federica Ninno, Catriona Stokes, Alan Dardik, David Strosberg, Edouard Aboian, Hendrik von Tengg-Kobligk, Vanessa Díaz-Zuccarini, Stavroula Balabani

“…High-fidelity numerical simulations such as Computational Fluid Dynamics (CFD) have been proven effective in analysing haemodynamics, offering insight into many vascular conditions. …”
Get full text

Long-Range LiDAR Vehicle Detection Through Clustering and Classification for Autonomous Racing by Na-Young Lim, Tae-Hyoung Park

“…For safe autonomous racing, fast computation speed and wide detection range are essential. …”
Get full text

Optimizing protein-ligand docking through machine learning: algorithm selection with AutoDock Vina by Ala’ Omar Hasan Zayed

“…While numerous algorithms exist for protein-ligand docking, achieving an optimal balance between accuracy and computational speed remains challenging. AutoDock Vina has emerged as a crucial tool in molecular docking, distinguished by its precision, computational efficiency, and adaptability. …”
Get full text

Performance Analysis of FGO Windowing Strategies for PDR+GNSS Fusion Architecture by Amjad Hussain Magsi, Luis Enrique Diez Blanco

“…By incorporating marginalization, MWFGO retains critical information while reducing computational costs. Both methods are evaluated under two error conditions GNSS multipath and PDR errors to assess their impact on positional accuracy and efficiency. …”
Get full text

A Framework for Human Activity Recognition Based on WiFi CSI Signal Enhancement by Jieming Yang, Yanming Liu, Zhiying Liu, Yun Wu, Tianyang Li, Yuehua Yang

Get full text

Coverage optimization and node minimization in WSNs: an enhanced hybrid PSO approach with spatial position encoding by Yinghua Tong, Lianhai Lin, Liqin Tian, Zhigang Wang, Wenxing Wu, Junyi Wu

Get full text

Modeling Point Source Potentials in Horizontally Layered Soils by Rooney R. A. Coelho, Gabriel de Castro Biage, Jose Roberto Cardoso

“…Once these functions are established, the electric potential is computed using a Bessel-type integral, efficiently evaluated via the Ogata-Sugihara quadrature method, which has demonstrated high accuracy for this class of problems. …”
Get full text

Diagnostic Tools Before Thyroidectomy: A Surgical Perspective by Flaviu Mureşan, Ovidiu Vasile Fabian, Emilia Maria Pătruţ, Olga Hilda Orăşan, Ana Valea, Radu Bogdan Popescu

“…Cervical adenopathies in patients suspected of thyroid malignancy are also evaluated via ultrasound. FNAC is the most effective diagnostic tool for suspicious thyroid nodules. …”
Get full text

Optimizing Internet of Things Honeypots with Machine Learning: A Review by Stefanie Lanz, Sarah Lily-Rose Pignol, Patrick Schmitt, Haochen Wang, Maria Papaioannou, Gaurav Choudhary, Nicola Dragoni

“…Adaptive honeypots utilizing machine learning demonstrate better resource management, reducing false positives and optimizing computational resources. Despite these improvements, high computational demands and limited real-world testing hinder widespread adoption in IoT environments. …”
Get full text

Development of a Numerical Characterization Method for a Ducted Savonius Turbine with Power Augmenters by Sebastian Brusca, Filippo Cucinotta, Antonio Galvagno, Felice Sfravara, Massimiliano Chillemi

“…Experimental tests were conducted on a scaled turbine to evaluate its performance. A Computational Fluid Dynamics (CFDs) model, incorporating Sliding Mesh and Dynamic Fluid Body Interaction (DFBI) techniques, was developed to replicate the experimental conditions. …”
Get full text

Prediction of foreign currency exchange rates using an attention-based long short-term memory network by Shahram Ghahremani, Uyen Trang Nguyen

Get full text

DSS-YOLO: an improved lightweight real-time fire detection model based on YOLOv8 by Hongjie Wang, Xiaoyang Fu, Zixuan Yu, Zhifeng Zeng

“…To address these issues, we propose a DSS-YOLO model based on an improved YOLOv8n architecture, designed to enhance the recognition accuracy of obscured objects and small targets while reducing computational overhead. Specifically, we replace all C2f modules in the Backbone with DynamicConv modules to reduce computation without sacrificing feature extraction capabilities. …”
Get full text

Lightweight machine learning framework for efficient DDoS attack detection in IoT networks by Mamoona Nawaz, Shireen Tahira, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…Traditional detection methods often rely on computationally intensive models, rendering them unsuitable for resource-constrained IoT environments. …”
Get full text

Detection and Segmentation of Glioma Tumors Using an Improved Visual Geometry Group (IVGG) Deep Learning Structure by Parameswari Alagarsamy, Vinoth Kumar Kalimuthu, Bhavani Sridharan

“…Two separate brain imaging datasets have been used in this study to evaluate and validate the suggested MTDS's performance efficiency. …”
Get full text

Recurrence Quantification Analysis for Scene Change Detection and Foreground/Background Segmentation in Videos by Theodora Kyprianidi, Effrosyni Doutsi, Panagiotis Tsakalides

“…This approach offers a computationally efficient and robust alternative to traditional deep learning methods, which often demand extensive training data and high computational power. …”
Get full text