Evaluating and Enhancing Face Anti-Spoofing Algorithms for Light Makeup: A General Detection Approach by Zhimao Lai, Yang Guo, Yongjian Hu, Wenkang Su, Renhai Feng

“…The experimental outcomes confirm that the proposed algorithm exhibits superior detection capabilities when handling light makeup faces.…”
Get full text

Evaluating the Efficacy of a Polymerase Chain Reaction Assay for Pneumocystis carinii Detection in Respiratory Samples by Sonu Kumari Agarwal, Harendra Kumar Thakur, Bansidhar Tarai

“…Consequently, these instances were classified as false positives by PCR. …”
Get full text

Detection of fraud in public procurement using data-driven methods: a systematic mapping study by Everton Schneider dos Santos, Matheus Machado dos Santos, Márcio Castro, Jônata Tyska Carvalho

“…The results showed that most works use machine learning models to detect collusion and statistical analysis to detect instances of favoritism. …”
Get full text

Bi-Modal Multiperspective Percussive (BiMP) Dataset for Visual and Audio Human Fall Detection by Joe Dibble, Michael C. F. Bazzocchi

“…This dataset comprises human movement representing activities of daily living and falls of 25 participants in various residential settings, yielding 1,300 instances of unique visual and audio samples. Promising utility of the bi-modal multiperspective percussive (BiMP) dataset is demonstrated through experimental data evaluations using techniques including: GoogLeNet, Long Short Term Memory, Continuous Wavelet Transforms, and Short-time Fourier Transforms for human fall detection achieving accuracies up to 96%. …”
Get full text

Enhanced Intrusion Detection in In-Vehicle Networks Using Advanced Feature Fusion and Stacking-Enriched Learning by Ali Altalbe

“…To address this problem, machine learning (ML) based intrusion detection systems (IDSs) have been proposed. However, existing IDSs suffer from low detection accuracy, limited real-time response, and high resource requirements. …”
Get full text

Detecting All-to-One Backdoor Attacks in Black-Box DNNs via Differential Robustness to Noise by Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

“…However, prevalent black-box A2O backdoor defenses often mandate assumptions regarding the locations of triggers, as they leverage hand-crafted features for detection. In instances where triggers deviate from these assumptions, the resultant hand-crafted features diminish in quality, rendering these methods ineffective. …”
Get full text

Re-Parameterization After Pruning: Lightweight Algorithm Based on UAV Remote Sensing Target Detection by Yang Yang, Pinde Song, Yongchao Wang, Lijia Cao

“…Furthermore, practical validation tests have also demonstrated that the proposed algorithm significantly reduces instances of missed detection and duplicate detection.…”
Get full text

Real-Time Detection of Forest Fires Using FireNet-CNN and Explainable AI Techniques by Gazi Mohammad Imdadul Alam, Naima Tasnia, Tapu Biswas, Md. Jakir Hossen, Sharia Arfin Tanim, Md Saef Ullah Miah

“…This augmentation is critical as it helps the model accurately identify fire instances with a lower false positive rate, which is key for any real-time fire detection system where reliability and dependability are vital. …”
Get full text

Real-time detection and localization of honeycomb defects in concrete pillars using hybrid deep learning models by Sourav Kumar Das, Biswarup Yogi, Raj Majumdar, Pritha Ghosh, Satyabrata Roy

“…Abstract This paper presents a hybrid model based on deep learning for the detection and instance segmentation of defects in honeycombs of concrete structures with YOLOv5 and Mask R-CNN. …”
Get full text

Galaxy @Sciensano: a comprehensive bioinformatics portal for genomics-based microbial typing, characterization, and outbreak detection by Bert Bogaerts, Julien Van Braekel, Alexander Van Uffelen, Jolien D’aes, Maxime Godfroid, Thomas Delcourt, Michael Kelchtermans, Kato Milis, Nathalie Goeders, Sigrid C. J. De Keersmaecker, Nancy H. C. Roosens, Raf Winand, Kevin Vanneste

“…The Galaxy @Sciensano instance is available to both internal and external scientists and offers a wide range of tools provided by the community, complemented by over 50 custom tools and pipelines developed in-house. …”
Get full text

Flooded area detection and mapping from Sentinel-1 imagery. Complementary approaches and comparative performance evaluation by Andrei Toma, Ionuț Șandric, Bogdan-Andrei Mihai

“…The current study assesses the performance of several machine learning (ML) and deep learning (DL) models for detecting and mapping floods using Sentinel-1 SAR imagery. …”
Get full text

A flexible human detection service suitable for Intelligent Spaces based on a multi-camera network by Douglas Almonfrey, Alexandre Pereira do Carmo, Felippe Mendonça de Queiroz, Rodolfo Picoreti, Raquel Frizera Vassallo, Evandro Ottoni Teatini Salles

“…With respect to time and detection performance requirements, our human detection service has proved to be suitable for interacting with the other services of our Intelligent Space, in order to successfully complete the tasks of each application.…”
Get full text

Community surveillance after detection of poliovirus in the environment in London, United Kingdom, October 2022 to April 2023 by Maria Zambon

Get full text

Evaluating YOLO Variants With Transfer Learning for Real-Time UAV Obstacle Detection in Simulated Forest Environments by Shouthiri Partheepan, Farzad Sanati, Jahan Hassan

“…TL significantly improved model performance; for instance, YOLOv8s showed a recall increase from 0.6318 to 0.7804 and mAP@50 from 0.7228 to 0.8447. …”
Get full text

Hierarchical Feature Attention Learning Network for Detecting Object and Discriminative Parts in Fine-Grained Visual Classification by A. Yeong Han, Kwang Moo Yi, Kyeong Tae Kim, Jae Young Choi

“…These mechanisms often assume that critical locations have a similar scale and are uniquely localizable, which is not always accurate. For instance, the size of a bird may vary across images, and the color of its beak might only be significant for species identification when its wing and tail colors are specific. …”
Get full text

SB‐YOLO‐V8: A Multilayered Deep Learning Approach for Real‐Time Human Detection by Prince Alvin Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Edward Kwadwo Boahen, Prince Boakye‐Sekyerehene, Abdullai Dwumfour

“…For instance, real‐time detection and detection of humans in agricultural settings pose challenges that demand sophisticated vision algorithms. …”
Get full text

SACNN‐IDS: A self‐attention convolutional neural network for intrusion detection in industrial internet of things by Mimonah Al Qathrady, Safi Ullah, Mohammed S. Alshehri, Jawad Ahmad, Sultan Almakdi, Samar M. Alqhtani, Muazzam A. Khan, Baraq Ghaleb

“…This paper proposes a self‐attention convolutional neural network (SACNN) architecture for the detection of malicious activity in IIoT networks and an appropriate feature extraction method to extract the most significant features. …”
Get full text

Development of a sugar-derived silver nanoparticle-based electrochemical immunosensor for sensitive D-dimer detection by Fatma Ozturk Kirbay, İdris Yazgan, Dilek Odaci

“…Here, we describe the development of a simple electrochemical immunosensor to detect DD. The immunosensor is constructed by electrodeposition of lactose methoxide aniline silver nanoparticles (LMA-AgNPs) on a screen-printed carbon electrode (SPCE). …”
Get full text

Impurity rates detection for pepper harvesting based on YOLOv8n-Seg-ASB and random forest by Lijian Lu, Jin Lei, Chenming Cheng, Shiguo Wang, Chengfu Wang, Xinyan Qin

“…Then, the YOLOv8n-Seg-ASB model is developed for instance segmentation of pepper material images. This is achieved by integrating adaptive kernel convolution (AKConv) deformable convolutions into the backbone layer, the Slim-Neck lightweight architecture into the neck layer, and the Bottleneck-SEResNeXt (B-SEResNeXt) multi-scale detection head into the head layer of the YOLOv8n-Seg model. …”
Get full text

Redefining Object Detection for Open-World Settings: A Framework for Simultaneous Identification of Known and Unknown Classes by Muhammad Ali Iqbal, Yeo Chan Yoon, Soo Kyun Kim

“…This work proposes an improved Open-World Object Detection (OWOD) methodology that supports the identification and Incremental Detection of both known and unknown objects. …”
Get full text