Dual‐fluorescence imaging and automated trophallaxis detection for studying multi‐nutrient regulation in superorganisms by Lior Baltiansky, Einav Sarafian‐Tamam, Efrat Greenwald, Ofer Feinerman

“…Studies on the properties of these trophallactic networks have so far been limited by: (a) the difficulty to non‐intrusively measure food inside individual ants, let alone its nutritional composition, and (b) the meticulous manual labour involved in detecting trophallactic events. Our dual‐fluorescence imaging set‐up is designed to track two food sources, each labelled with a different fluorophore, as they are disseminated throughout a freely behaving colony of individually tagged ants. …”
Get full text

Universal strategy for rapid design and analysis of gas detection peptide chips with positional preference by Honghao Zhang, Xi Zhang, Yingjun Si, Hui Li, Jiyang Han, Chuan Yang, Hui Yang

“…We have designed a complete set of design and analysis scheme for a peptide gas detection chip. …”
Get full text

An explorative study on movement detection using wearable sensors in acute care hospital patients by Joris Kirchberger, Dominik Kunz, Guido Perrot, Sven Hirsch, Maren Leifke, Bianca Hölz, Lukas Geissmann, Miro Käch, Samuel Wehrli, Jens Eckstein

Get full text

Integrating Handcrafted Features with Machine Learning for Hate Speech Detection in Albanian Social Media by Fetahi Endrit, Hamiti Mentor, Susuri Arsim, Zenuni Xhemal, Ajdari Jaumin

“…Online social media has seen a significant increase in usage over the last decade, enabling people to communicate more easily. The vast amount of data generated by these platforms is mostly uncontrolled and unmanageable. …”
Get full text

Improved Early-Stage Maize Row Detection Using Unmanned Aerial Vehicle Imagery by Lulu Xue, Minfeng Xing, Haitao Lyu

“…Finally, the least square method was employed to fit the row centerlines. The detection accuracy of the proposed method was evaluated using the unmanned aerial vehicle (UAV) image data set containing both regular and intersecting crop rows. …”
Get full text

Defects Detection in Screen-Printed Circuits Based on an Enhanced YOLOv8n Algorithm by Xinyu Zhang, Jia Wang, Dan Jiang, Yang Li, Xuewei Wang, Han Zhang

“…To address these challenges, a self-made SPC defect data set and an enhanced CAAB-YOLOv8n detection algorithm were developed. …”
Get full text

Research on underwater disease target detection method of inland waterway based on deep learning by Tao Yu, Yu Xie, Jinsong Luo, Wei Zhu, Jie Liu

“…In order to verify the feasibility of the algorithm, based on the underwater disease data set collected by the project team, a variety of algorithms were selected for comparison and ablation experiments were designed to study the improvement and improvement effect of each module. …”
Get full text

Enhancing the YOLOv8 model for realtime object detection to ensure online platform safety by Mohammed Kawser Jahan, Fokrul Islam Bhuiyan, Al Amin, M. F. Mridha, Mejdl Safran, Sultan Alfarhood, Dunren Che

“…These advancements not only enhance detection accuracy but also set a new benchmark for harmful object detection, significantly contributing to the safety measures across various online platforms.…”
Get full text

Vehicle crash simulation models for reinforcement learning driven crash-detection algorithm calibration by Shahabaz Afraj, Ondřej Vaculín, Dennis Böhmländer, Luděk Hynčík

“…These vehicle models possess a substantial amount of data pertaining to the vehicle’s geometry, structure, materials, etc., and are used to estimate a large set of system and component level characteristics using crash simulations. …”
Get full text

A feature-level ensemble machine learning approach for attack detection in IoT networks by Firoz Khan, B. S. Sunil Kumar, Sangeeta Sangani

“…Abstract The rapid adoption of Internet-of-Things (IoT) technologies in smart cities has enabled efficient data exchange among interconnected devices, enhancing automation and real-time decision-making. …”
Get full text

The diagnostic efficacy of seven autoantibodies in early detection of ground-glass nodular lung adenocarcinoma by Hua Guo, Wei Zhao, Chunsun Li, Zhen Wu, Ling Yu, Miaoyu Wang, Yuanhui Wei, Zirui Wang, Shangshu Liu, Yue Yin, Zhen Yang, Liangan Chen

Get full text

CDK: A novel high-performance transfer feature technique for early detection of osteoarthritis by Mohammad Shariful Islam, Mohammad Abu Tareq Rony

“…This underscores the need for more advanced diagnostic methods, such as machine learning (ML) and deep learning (DL), to improve OA detection and classification. This research introduces a novel ensemble learning approach for image data feature extraction which ingeniously combines the strengths of 2 advanced (ML) models with a (DL) method to substantially improve the accuracy of OA detection from radiographic images. …”
Get full text

Parkinson’s disease detection using inceptionV3: A Deep learning approach by Pallavi M. Shanthappa, Madhwesh Bayari, G.B. Abhilash, K.V. Gokul, P.J. Ashish

“…The study emphasizes the relevance of deep learning in non-invasive PD diagnosis, as a consistent, efficient, and automated method of early detection. The future can be directed towards the combination of spiral images with other biomarkers or a broader data set with other motor measures in a wider disease assessment. • The study focuses on enhancing features extraction by leveraging hybrid deep learning models, improving classification performance. • Implementation of features scaling leads to better model performance, with improved accuracy. • The comparative analysis of CNN architecture provides valuable insights into balancing computational efficiency and classification performance.…”
Get full text

A novel feature extractor based on constrained cross network for detecting sleep state by Chenlei Tian, Fei Song

“…Most existing methods that utilize wrist-worn devices data for detection rely on heuristic algorithms or traditional machine learning, which suffer from low classification efficiency and insufficient accuracy. …”
Get full text

Novel transfer learning based acoustic feature engineering for scene fake audio detection by Ahmad Sami Al-Shamayleh, Hafsa Riasat, Ala Saleh Alluhaidan, Ali Raza, Sahar A. El-Rahman, Diaa Salama AbdElminaam

Get full text

HCM-Echo-VAR-Ensemble: Deep Ensemble Fusion to Detect Hypertrophic Cardiomyopathy in Echocardiograms by Abdulsalam Almadani, Atifa Sarwar, Emmanuel Agu, Monica Ahluwalia, Jacques Kpodonu

Get full text

A KNN-based model for non-invasive prediction of hemorrhagic shock severity in prehospital settings: integrating MAP, PBUCO2, PTCO2, and PPV by Peng Zhao, Wencai Pan, Xin Zou, Jiaqing Yang, Shihui Zhang, Yufei Liu, Yang Li

“…Results When the training vs testing data set ratio is 7:3 or 6:4, and K = 3, the KNN-based model has the best prediction accuracy (94.82% and 93.51%). …”
Get full text

Modeling of Bayesian machine learning with sparrow search algorithm for cyberattack detection in IIoT environment by Faten Khalid Karim, José Varela-Aldás, Mohamad Khairi Ishak, Ayman Aljarbouh, Samih M. Mostafa

“…Accordingly, a multilevel security solution is needed to safeguard the industrial system. By analyzing the data packet, the Intrusion Detection System (IDS) counteracts the cyberattack for the targeted attack in the IIoT platform. …”
Get full text

Automatic Thyroid Nodule Detection in Ultrasound Imaging With Improved YOLOv5 Neural Network by Daqing Yang, Jianfu Xia, Rizeng Li, Wencai Li, Jisheng Liu, Rongjian Wang, Dong Qu, Jie You

Get full text

Abnormal Operation Detection of Automated Orchard Irrigation System Actuators by Power Consumption Level by Shahriar Ahmed, Md Nasim Reza, Md Rejaul Karim, Hongbin Jin, Heetae Kim, Sun-Ok Chung

“…A demonstration orchard with four apple trees was set up in a 3 m × 3 m soil test bench inside a greenhouse, divided into two sections to enable independent irrigation schedules and management. …”
Get full text