Hybrid adaptive method for lane detection of degraded road surface condition by Khaled H. Almotairi

Get full text

Identification of Scientific Texts Generated by Large Language Models Using Machine Learning by David Soto-Osorio, Grigori Sidorov, Liliana Chanona-Hernández, Blanca Cecilia López-Ramírez

Get full text

Comparison of Bioelectric Signals and Their Applications in Artificial Intelligence: A Review by Juarez-Castro Flavio Alfonso, Toledo-Rios Juan Salvador, Aceves-Fernández Marco Antonio, Tovar-Arriaga Saul

Get full text

Can ChatGPT read who you are? by Erik Derner, Dalibor Kučera, Nuria Oliver, Jan Zahálka

Get full text

Systematic Literature Review: Analisa Sentimen Masyarakat terhadap Penerapan Peraturan ETLE by Syafrial Fachri Pane, Muhammad Syiarul Amrullah

Get full text

Perbandingan Metode Random Forest, Convolutional Neural Network, dan Support Vector Machine Untuk Klasifikasi Jenis Mangga by Ricky Mardianto, Stefanie Quinevera, Siti Rochimah

Get full text

Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

Get full text

TrioConvTomatoNet-BiLSTM: An Efficient Framework for the Classification of Tomato Leaf Diseases in Real Time Complex Background Images by S. Ledbin Vini, P. Rathika

Get full text

Advanced Manufacturing Technologies: Development and Prospect by Tibor Krenicky

Get full text

Machine learning based multi-parameter droplet optimisation model study by Ting Li, Likun Lu, Qingtao Zeng, Kexin Liao

Get full text

An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare by Arfan Ghani, Akinyemi Aina, Chan Hwang See

“…Addressing the challenges posed by constrained dataset sizes, compute-intensive AI algorithms, and hardware limitations, the approach presented in this paper leverages efficient image augmentation and pre-processing techniques to enhance both prediction accuracy and the training efficiency. …”
Get full text

Membership Inference Attacks and Differential Privacy: A Study Within the Context of Generative Models by Borja Arroyo Galende, Patricia A. Apellaniz, Juan Parras, Santiago Zazo, Silvia Uribe

Get full text

Cloud Detection Challenge-Methods and Results by Alessio Barbaro Chisari, Luca Guarnera, Alessandro Ortis, Wladimiro Carlo Patatu, Bruno Casella, Luca Naso, Giuseppe Puglisi, Vincenzo del Zoppo, Mario Valerio Giuffrida, Sebastiano Battiato

Get full text

High sensitivity in spontaneous intracranial hemorrhage detection from emergency head CT scans using ensemble-learning approach by Juuso Takala, Heikki Peura, Riku Pirinen, Katri Väätäinen, Sergei Terjajev, Ziyuan Lin, Rahul Raj, Miikka Korja

Get full text

Method for non-invasive assessment of the structure of a heart valve bioprosthesis by K. Yu. Klyshnikov, E. A. Ovcharenko, T. V. Glushkova, Yu. A. Kudryavtseva, L. S. Barbarash

“…The study of explanted heart valve bioprostheses is a valuable source of information about the destructive processes in their components that develop as a result of prolonged contact with the recipient’s body. …”
Get full text

Garment Recognition and Reconstruction Using Object Simultaneous Localization and Mapping by Yilin Zhang, Koichi Hashimoto

Get full text

VISTA — Vision-based inspection system for automated testing of aircraft interiors: A panoramic view by Nicola Mosca, Vito Renò, Massimiliano Nitti, Cosimo Patruno, Simone Pio Negri, Ettore Stella

Get full text

Chamfer distance for non-linear registration of Triply Periodic Minimal Surface lattices by Michela Lapenna, Francesco Faglioni, Keerthana Chand, Bardia Hejazi, Rita Fioresi, Giovanni Bruno

“…We present a 3D image registration technique for non-linear deformation estimation in Additive Manufacturing processes. The methodology involves comparing X-ray Computed Tomography (XCT) data with Computer Aided Design (CAD) models for Triply Periodic Minimal Surface (TPMS) lattices and employs the Chamfer distance to refine mesh non-linear deformations.…”
Get full text

RABiTPy: an open-source Python software for rapid, AI-powered bacterial tracking and analysis by Samyabrata Sen, Indraneel Vairagare, Jitendrapuri Gosai, Abhishek Shrivastava

“…Although modern microscopy and computing have enabled the collection of large datasets, many existing tools struggle with big data processing or with accurately detecting, segmenting, and tracking bacteria of various shapes. …”
Get full text

Soumbedjioune tunnel in dakar: a case study for CFD modeling of fire-smoke extraction in a sinusoidal floor tunnel by Oumar Drame, Zeinebou Yahya, Adama Sarr, Cheikh Mbow

Get full text