Coordinated Jamming and Poisoning Attack Detection and Mitigation in Wireless Federated Learning Networks by Sofia Barkatsa, Maria Diamanti, Panagiotis Charatsaris, Stefanos Voikos, Eirini Eleni Tsiropoulou, Symeon Papavassiliou

Get full text

FTA-Net: Frequency-Temporal-Aware Network for Remote Sensing Change Detection by Taojun Zhu, Zikai Zhao, Min Xia, Junqing Huang, Liguo Weng, Kai Hu, Haifeng Lin, Wenyu Zhao

“…Change detection (CD) aims to explore surface changes in coaligned image pairs. …”
Get full text

A lightweight deep-learning model for parasite egg detection in microscopy images by Wenbin Xu, Qiang Zhai, Jizhong Liu, Xingyu Xu, Jing Hua

“…Abstract Background Intestinal parasitic infections are still a serious public health problem in developing countries, and the diagnosis of parasitic infections requires the first step of parasite/egg detection of samples. Automated detection can eliminate the dependence on professionals, but the current detection algorithms require large computational resources, which increases the lower limit of automated detection. …”
Get full text

Cimiciato defect detection in hazelnuts: CNN models applied on X-ray images by Andrea Vitale, Matteo Giaccone, Antonio Gaetano Napolitano, Flavia de Benedetta, Laura Gargiulo, Giacomo Mele

“…Currently used methods for identifying insect damages (cimiciato) often rely on visual inspection, external imaging or require destructive testing.This study compared twelve different pretrained Convolutional Neural Network (CNN) architectures applied on hazelnut kernels X-ray radiographs for the automated detection of cimiciato defects.Through an extensive training and validation process, followed by testing on a separate dataset, InceptionV3 architecture showed the best overall balance across all performance metrics, including accuracy, sensitivity, and precision, while Xception demonstrated superior specificity and the lowest false positive rate. …”
Get full text

Ta-YOLO: overcoming target blocked challenges in greenhouse tomato detection and counting by Yun Zhao, Yijia Chen, Xing Xu, Yong He, Hao Gan, Na Wu, Zhechen Wang, Xi Sun, Yali Wang, Petr Skobelev, Yanan Mi

“…Next, we developed a novel pyramid pooling module(DASPPF) to capture global information through average pooling, effectively reducing the impact of edge and background noise on detection. We also introduced an additional tiny target detection head alongside the original detection head, enabling multi-scale detection of small tomatoes. …”
Get full text

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

“…The suggested approach also demonstrated quick embedding and extraction speeds, as well as tamper detection capabilities.…”
Get full text

Development of an electromechanical device for real-time detection of litter moisture in commercial broiler by Glauber da Rocha Balthazar, Robson Mateus Freitas Silveira, Marcos Vinicius Amato da Cruz, Iran José Oliveira da Silva

“…This process utilized Technical Standard NBR 6457 to calibrate the equation for adjusting the detected humidity level. …”
Get full text

Novel Pyramidal Bidirectional Gated Vision Transformer for Rice Leaf Disease Detection by Ramesh Shunmugam, Sumendra Yogarayan, Siti Fatimah Abdul Razak, Md. Shohel Sayeed

Get full text

Comprehensive Insights into Artificial Intelligence for Dental Lesion Detection: A Systematic Review by Kubra Demir, Ozlem Sokmen, Isil Karabey Aksakalli, Kubra Torenek-Agirman

“…Among the fourteen state-of-the-art deep learning approaches, the results demonstrate that deep learning models, such as U-Net, AlexNet, and You Only Look Once (YOLO) version 8 (YOLOv8) are commonly employed for dental lesion detection. These deep learning models have the potential to serve as integral components of decision-making processes by improving detection accuracy and supporting clinical workflows. …”
Get full text

Study on Distributed Ultrasonic Detection Method of Two-dimensional Gas Temperature Field by LI Shaozhuang, SHI Youan, LU Xiaokang, CHEN Yu, WEI Dong

“…Accurately capturing the gas temperature field during the forming of large-scale spatial components remains a critical challenge in the curing process of aerospace composite material parts. This study investigates a method for distributed ultrasonic detection of the two-dimensional gas temperature field.MethodsThis study first employed numerical simulation software to analyze the ultrasonic propagation characteristics in an autoclave under steady-state temperature field conditions from the perspective of thermo-acoustic coupling. …”
Get full text

Recent advances in aptamer-based biosensing technology for isolation and detection of extracellular vesicles by Osama Alnaser-Almusa, Mohammed Mahmoud, Mohammed Ilyas, Raghda Adwan, Farah Abul Rub, Noha Alnaser-Almusa, Fayrouz Mustafa, Sana Ahmed, Alaa Alzhrani, Alaa Alzhrani, Alaa Alzhrani, Tanveer Ahmad Mir, Tanveer Ahmad Mir, Mubarak. Alabudahash, Raja Chinnappan, Raja Chinnappan, Ahmed Yaqinuddin

“…Since their discovery in the 1970s, extracellular vesicles (EVs) have garnered significant scientific attention due to their involvement in diverse pathological processes, including tumorigenesis. Their unique properties have also piqued interest for various applications such as transporting biomolecules for drug delivery. …”
Get full text

A comparative study of different assays for autoantibodies detection in patients with autoimmune gastritis by Małgorzata Osmola, Caroline Hémont, Marcin Romańczyk, Amaury Druet, Nicolas Chapelle, Tamara Matysiak-Budnik, Marco Vincenzo Lenti, Jérôme C. Martin

“…This approach could be clinically applicable in the screening for AIG and diagnostic process of AIG.…”
Get full text

Quantisation‐based target detection for cooperative multiple input multiple output radar and communications with multiple stations by Zhen Wang, Qian He

Get full text

First Mid-infrared Detection and Modeling of a Flare from Sgr A* by Sebastiano D. von Fellenberg, Tamojeet Roychowdhury, Joseph M. Michail, Zach Sumners, Grace Sanger-Johnson, Giovanni G. Fazio, Daryl Haggard, Joseph L. Hora, Alexander Philippov, Bart Ripperda, Howard A. Smith, S. P. Willner, Gunther Witzel, Shuo Zhang, Eric E. Becklin, Geoffrey C. Bower, Sunil Chandra, Tuan Do, Macarena Garcia Marin, Mark A. Gurwell, Nicole M. Ford, Kazuhiro Hada, Sera Markoff, Mark R. Morris, Joey Neilsen, Nadeen B. Sabha, Braden Seefeldt-Gail

“…The MIRI instrument on JWST has changed that, and we report the first MIR detection of Sgr A*. The detection was during a flare that lasted about 40 minutes, a duration similar to NIR and X-ray flares, and the source's spectral index steepened as the flare ended. …”
Get full text

Advanced optical receiver architectures for ultra-high capacity but low-cost short-reach optical interconnects by Honglin JI, Xueyang LI, Zhixue HE, Weisheng HU, Shieh William

“…The deployment of emerging network infrastructure such as hyper-scale datacenters urgently requires ultra-high capacity but low-cost short-reach optical interconnects.Conventional intensity modulation and direct detection possesses a simple receiver structure but can only recover the intensity information, which restrains the capability of further scaling up the system capacity.Standard coherent detection can deliver high-order modulation formats and achieve high-capacity transmission.Nevertheless, the coherent transceiver requiring expensive narrow-linewidth laser sources and computation-intensive digital signal processing precludes its wide applications in short-reach systems.The advanced direct-detection optical receivers aim to combine the advantages of both direct detection and coherent detection and bridge the gap between them.Therefore, the advanced optical receivers are mainly based on self-coherent detection.Advanced single-polarization, dual-polarization, and few-mode optical receiver architectures wereintroduced.The proposed advanced optical receivers can retrieve the optical field via direct detection without using the narrow-linewidth lasers, which enables the realization of ultra-high capability but low-cost short-reach optical interconnects.…”
Get full text

Leveraging AI to automate detection and quantification of extrachromosomal DNA to decode drug responses by Kohen Goble, Aarav Mehta, Damien Guilbaud, Jacob Fessler, Jingting Chen, William Nenad, William Nenad, Christina G. Ford, Oliver Cope, Darby Cheng, William Dennis, Nithya Gurumurthy, Yue Wang, Kriti Shukla, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk, Elizabeth Brunk

“…Extrachromosomal DNA (ecDNA), in contrast, represents a rapid, reversible, and predictable DNA alteration critical for cancer’s adaptive response.MethodsIn this study, we developed a novel post-processing pipeline for automated detection and quantification of ecDNA in metaphase Fluorescence in situ Hybridization (FISH) images, leveraging the Microscopy Image Analyzer (MIA) tool. …”
Get full text

Enhancing Bee Mite Detection with YOLO: The Role of Data Augmentation and Stratified Sampling by Hong-Gu Lee, Jeong-Yong Shin, Su-Bae Kim, Min-Jee Kim, Moon S. Kim, Hoyoung Lee, Changyeun Mo

“…Bee mites are small, reddish-brown in color, and difficult to distinguish from bees. Rapid bee mite detection techniques are essential for overcoming this crisis. …”
Get full text

Real time wire rope detection method based on Rockchip RK3588 by Mengpeng Qian, Yong Wang, Shaoqing Liu, Zhanghou Xu, Zhenshan Ji, Ming Chen, Hailong Wu, Zuchao Zhang

“…This paper’s innovation lies not in creating algorithmic components from scratch, but in their synergistic integration and targeted optimization to solve the specific challenges of real-time defect detection on resource-constrained edge devices. To optimize the Neural Network Processing Unit (NPU) for computational performance, a thread pool is implemented with the C++ programming language to partition and accelerate the output processing of the model. …”
Get full text

Serological Detection of West Nile Virus in Single-Humped Camels in Northern Nigeria by Anyebe B. Onoja, Meschach M. Maina, Arhyel Malgwi, Bukang Ali, Emmanuel David, Shedrach B. Pewan, Reuben S. Bala, Abdulrahman M. Adeiza, Andrew M. Adamu, Oyelola A. Adegboye, Haijuan Wang

Get full text

DeepRD:LSTM-based Siamese network for Android repackaged applications detection by Run WANG, Benxiao TANG, Li’na WANG

“…The state-of-art techniques in Android repackaging detection relied on experts to define features,however,these techniques were not only labor-intensive and time-consuming,but also the features were easily guessed by attackers.Moreover,the feature representation of applications which defined by experts cannot perform well to the common types of repackaging detection,which caused a high false negative rate in the real detection scenario.A deep learning-based repackaged applications detection approach was proposed to learn the program semantic features automatically for addressing the above two issues.Firstly,control and data flow analysis were taken for applications to form a sequence feature representation.Secondly,the sequence features were transformed into vectors based on word embedding model to train a Siamese LSTM network for automatically program feature learning.Finally,repackaged applications were detected based on the similarity measurement of learned program features.Experimental results show that the proposed approach achieves a precision of 95.7% and false negative rate of 6.2% in an open sourced dataset AndroZoo.…”
Get full text