An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering by Laith Abualigah, Saleh Ali Alomari, Mohammad H. Almomani, Raed Abu Zitar, Hazem Migdady, Kashif Saleem, Aseel Smerat, Vaclav Snasel, Absalom E. Ezugwu

“…Data clustering plays a crucial role in various domains, such as image processing, pattern recognition, and data mining. …”
Get full text

Enhanced Vehicle Tracking With Discretization Error Control for OFDM-Based Radar System by Seong-Hwan Hyun, Jiho Song, Keunwoo Kim, Jong-Ho Lee, Seong-Cheol Kim

“…The algorithm adaptively computes measurement correction factors by leveraging the statistical properties of quantization bins in the two-dimensional radar image profile. …”
Get full text

Ultrasonic Glued Wood Finger-jointed Panel Quality Inspection System with Barker Code Pulse Excitation by Jie Chen, Yongning Yuan, Daipeng Fu, Jun Wang, Hongyan Zou, Liang Qi, Zheng Wang

Get full text

Multiclass semantic segmentation for prime disease detection with severity level identification in Citrus plant leaves by P. Dinesh, Ramanathan Lakshmanan

“…Due to technological advancements, image processing and Deep learning algorithms can now detect and classify plant diseases early on, which assists in preserving crop health and productivity. …”
Get full text

AuxDepthNet: Real-Time Monocular 3D Object Detection with Depth-Sensitive Features by Ruochen Zhang, Hyeung-Sik Choi, Dongwook Jung, Phan Huy Nam Anh, Sang-Ki Jeong, Zihao Zhu

Get full text

Overcoming Hardware Imperfections in Optical Neural Networks Through a Machine Learning-Driven Self-Correction Mechanism by Minjoo Kim, Beomju Kim, Yelim Kim, Lia Saptini Handriani, Suhee Jang, Dae Yeop Jeong, Sung Ik Yang, Won Il Park

“…We developed an optical neural network (ONN) for efficient processing and recognition of 2-dimensional (2D) images, employing a conventional liquid crystal display panel as optical neurons and synapses. …”
Get full text

Design of an efficient multi-objective recognition approach for 8-ball billiards vision system by Jiaying Gao, Qiuyang He, Hong Gao, Zhixin Zhan, Zhe Wu

“… In this paper, some key technologies based on colour image processing for 8-ball billiards robot vision system are discussed and an efficient approach for multi-objective recognition is proposed. …”
Get full text

Graphene Microelectrode Arrays, 4D Structured Illumination Microscopy, and a Machine Learning Spike Sorting Algorithm Permit the Analysis of Ultrastructural Neuronal Changes During... by Meng Lu, Ernestine Hui, Marius Brockhoff, Jakob Träuble, Ana Fernandez‐Villegas, Oliver J Burton, Jacob Lamb, Edward Ward, Philippa J Woodhams, Wadood Tadbier, Nino F Läubli, Stephan Hofmann, Clemens F Kaminski, Antonio Lombardo, Gabriele S Kaminski Schierle

“…Furthermore, alongside G‐MEAs, an easy‐to‐implement machine learning algorithm is developed to efficiently process the large datasets collected from MEA recordings. …”
Get full text

Trapezoidal back projection for positron emission tomography reconstruction by Dóra Varnyú, Krisztián Paczári, László Szirmay-Kalos

Get full text

AI driven cardiovascular risk prediction using NLP and Large Language Models for personalized medicine in athletes by Ang Li, Yunxin Wang, Hongxu Chen

“…The complexity of analysing diverse biomedical datasets, such as electrocardiograms (ECG), clinical records, genetic screening reports, and imaging results, poses challenges in obtaining precise early diagnoses. …”
Get full text

Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

“…Brain tumors are most commonly detected by magnetic resonance imaging (MRI) scans. The range of tumor sizes, shapes, and locations in the brain makes the existing approaches inadequate for accurate classification. …”
Get full text

Transmission Line Anomaly Detection and Real-Time Monitoring System Combining Edge Computing and EfficientDet by Menghao Lin, Yang Ding, Tianle Wang, Yang Liu, Zewei Li

“…This paper develops a transmission line anomaly detection and real-time monitoring system combining edge computing and improved Efficient Det based on the characteristics of foreign object images. Firstly, by collecting abnormal images of transmission channels, the Retinex algorithm is used to enhance the input images. …”
Get full text

Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization by Absalom El-Shamir Ezugwu, Olaide Nathaniel Oyelade, Jeffrey Ovre Agushaka, Apu Kumar Saha

“…Friedman’s test ranked SIRO 4th overall, with SSA as the top-performing algorithm. Additionally, SIRO was tested on real-world optimization problems, including mechanical engineering design, hyperparameter tuning, and feature selection for medical image classification. …”
Get full text

From Simulation to Reality: Transfer Learning for Automating Pseudo‐Labeling of Real and Infrared Imagery by Jeffrey Choate, Derek Worth, Scott L. Nykl, Clark Taylor, Brett Borghetti, Christine Schubert Kabban, Ryan Raettig

Get full text

A new BWO-based RGB vegetation index and ensemble learning strategy for the pests and diseases monitoring of CCB trees using unmanned aerial vehicle by Keliang Hu, Keliang Hu, Junchen Liu, Hai Xiao, Qiangguo Zeng, Jun Liu, Jun Liu, Lei Zhang, Lei Zhang, Man Li, Man Li, Zhihui Wang, Zhihui Wang

“…The process first involves calculating and normalizing 24 visible light vegetation indices from the UAV RGB images of the monitoring area, along with the original RGB bands. …”
Get full text

A New Approach Based on Metaheuristic Optimization Using Chaotic Functional Connectivity Matrices and Fractal Dimension Analysis for AI-Driven Detection of Orthodontic Growth and D... by Orhan Cicek, Yusuf Bahri Özçelik, Aytaç Altan

“…Feature selection was performed using a wrapper-based approach combining k-nearest neighbors (kNN) and the Puma optimization algorithm, which efficiently handles the chaotic and computationally complex nature of cervical vertebrae images. …”
Get full text

Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision by Jui-Sheng Chou, Chi-Yun Liu, Pin-Jun Guo

“…This system uses UAVs to capture high-resolution images, which are then processed by the You Only Look Once (YOLO) models for instance segmentation. …”
Get full text

An automated hybrid deep learning framework for paddy leaf disease identification and classification by Chatla Subbarayudu, Mohan Kubendiran

“…The system follows a structured workflow comprising several stages: image acquisition, pre-processing, feature extraction, feature selection, and classification. …”
Get full text

Batch Cooling Crystallization of a Model System Using Direct Nucleation Control and High-Performance In Situ Microscopy by Josip Budimir Sacher, Nenad Bolf, Marko Sejdić

“…Overall, it can be concluded that the HPM method is suitable for DNC control and could be improved by modifying the image processing algorithm.…”
Get full text

ECDSA-based tamper detection in medical data using a watermarking technique by Rupa Ch, Naga Vivek K, Gautam Srivastava, Reddy Gadekallu

“…To tackle these issues, this study proposes a robust digital watermarking approach tailored to brain medical images, combining hashing, the Elliptic Curve Digital Signature Algorithm (ECDSA), and the Integer Wavelet Transform-Discrete Cosine Transform (IWT-DCT). …”
Get full text