Detection of Toxoplasma gondii Infection in Rodents, Shrews and Cats in Unguja Island, Zanzibar by Cynthia M. Paul, Ally A. Ally, Ernatus M. Mkupasi, Martin J. Martin, Abdul A.S. Katakweba

“…Fifty-one seropositive samples from cats were detected where eight were from pet cats and 43 from stray cats. …”
Get full text

On the ability of the LR method to detect bias when there is pedigree misspecification and lack of connectedness by Alan M. Pardo, Andres Legarra, Zulma G. Vitezica, Natalia S. Forneris, Daniel O. Maizon, Sebastián Munilla

Get full text

Screening Germplasms and Detecting Quantitative Trait Loci for High Sucrose Content in Soybean by Se-Hee Kang, Seo-Young Shin, Byeong Hee Kang, Sreeparna Chowdhury, Won-Ho Lee, Woon Ji Kim, Jeong-Dong Lee, Sungwoo Lee, Yu-Mi Choi, Bo-Keun Ha

Get full text

Detecting and identifying Schistosoma infections in snails and aquatic habitats: A systematic review. by Bishoy Kamel, Martina R Laidemitt, Lijun Lu, Caitlin Babbitt, Ola Liota Weinbaum, Gerald M Mkoji, Eric S Loker

“…Ability to detect schistosome infections in snails or in the water is needed if control and elimination programs hope to succeed. …”
Get full text

Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

Get full text

The impact of artificial intelligence on financial auditing: the case of Algeria by Amira Benachour, Ramzi Kaddai, Hanane Abdelmalek, Fella Bochelgoum, Lamine Tarhlissia

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

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

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

LiDAR-Based Detection of Urban Trees Using a Backpack System by M. F. da Silva, L. F. Castanheiro, A. M. G. Tommaselli, A. M. G. Tommaselli, R. C. dos Santos, R. C. dos Santos, M. Galo, M. Galo

Get full text

Early Fault Detection in FOC Driven Induction Motors: A Case Study by Isabela O. Zaparoli, Arismar M. G. Junior, Marco Tulio A. Evo, Diogo S. C. Souza, Helder de Paula

Get full text

Detection of African swine fever virus in pork products brought to Taiwan by travellers by Wen-Hung Wang, Chih-Yen Lin, Max R. Chang Ishcol, Aspiro Nayim Urbina, Wanchai Assavalapsakul, Arunee Thitithanyanont, Po-Liang Lu, Yen-Hsu Chen, Sheng-Fan Wang

Get full text

Evaluating Machine Learning Algorithms for Financial Fraud Detection: Insights from Indonesia by Cheng-Wen Lee, Mao-Wen Fu, Chin-Chuan Wang, Muh. Irfandy Azis

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

Get full text

Interpretable Deep Learning for Pneumonia Detection Using Chest X-Ray Images by Jovito Colin, Nico Surantha

Get full text

USE OF NEURAL NETWORKS FOR DETECTION AND RECOGNITION OF THE ANOMALIES IN ENTERPRISE CORPORATIVE INFORMATION SYSTEM by U. A. Vishniakou, O. S. Koval, M. G. Mozdurani Shiraz

Get full text

Ultra tough and high resilience mechanochromic fibres for real world stress detection by Yu Jin Jeong, Youngeun Lee, Taekyung Won, Ji Won Lee, Youngho Eom, Dae Seok Kim

Get full text

Research on industrial control system intrusion detection method based on simulation modelling by Yi-wei GAO, Rui-kang ZHOU, Ying-xu LAI, Ke-feng FAN, Xiang-zhen YAO, Lin LI

“…At present,intrusion detection system over fieldbus network layer was a basic protection method in industrial control system.However,it has some weakness,such as poor generality,high false-positive rate,and unable to detect unknown anomaly.An industrial control system intrusion detection method based on fieldbus network equipment simulation was proposed.The method prevented control program from being tampered or destroyed based on controller simulation modelling.Controlled object simulation modelling was designed for ensuring that the system input was credible.Thus the intrusion detection of industrial control network was realized.At last,the results indicate that the proposed intrusion detecting method is available.…”
Get full text

Game-based detection method of broken access control vulnerabilities in Web application by HE Haitao, XU Ke, YANG Shuailin, ZHANG Bing, ZHAO Yuxuan, LI Jiazheng

“…To solve the problem that the access control strategy of the program in the industrial Internet was difficult to extract from the source code, and that the user’s access operation was difficult to trigger all access paths, which led to the difficulty of universal detection of logical vulnerabilities, game theory was applied to the access control logic vulnerability detection for the first time. …”
Get full text

MAGECODE: Machine-Generated Code Detection Method Using Large Language Models by Hung Pham, Huyen Ha, van Tong, Dung Hoang, Duc Tran, Tuyen Ngoc Le

“…Consequently, various machine-generated text (MGT) detection methods, developed from metric-based and model-based approaches, were proposed and shown to be highly effective. …”
Get full text