Food Journal: An application for allergy early detection by Putu Indah Ciptayani, Ni Gusti Ayu Putu Harry Saptarini, Ni Wayan Wisswani

“…Although antibody tests and skin pricks can detect allergies, their accuracy is not always 100%, causing some cases of false negatives. …”
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2D Object Detection: A Survey by Emanuele Malagoli, Luca Di Persio

“…This survey provides a comprehensive review of the evolution of 2D generic object detection, tracing its development from traditional methods relying on handcrafted features to modern approaches driven by deep learning. …”
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Overview of detection techniques for malicious social bots by Rong LIU, Bo CHEN, Ling YU, Ya-shang LIU, Si-yuan CHEN

“…The attackers use social bots to steal people’s privacy,propagate fraud messages and influent public opinions,which has brought a great threat for personal privacy security,social public security and even the security of the nation.The attackers are also introducing new techniques to carry out anti-detection.The detection of malicious social bots has become one of the most important problems in the research of online social network security and it is also a difficult problem.Firstly,development and application of social bots was reviewed and then a formulation description for the problem of detecting malicious social bots was made.Besides,main challenges in the detection of malicious social bots were analyzed.As for how to choose features for the detection,the development of choosing features that from static user features to dynamic propagation features and to relationship and evolution features were classified.As for choosing which method,approaches from the previous research based on features,machine learning,graph and crowd sourcing were summarized.Also,the limitation of these methods in detection accuracy,computation cost and so on was dissected.At last,a framework based on parallelizing machine learning methods to detect malicious social bots was proposed.…”
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Overview of detection techniques for malicious social bots by Rong LIU, Bo CHEN, Ling YU, Ya-shang LIU, Si-yuan CHEN

“…The attackers use social bots to steal people’s privacy,propagate fraud messages and influent public opinions,which has brought a great threat for personal privacy security,social public security and even the security of the nation.The attackers are also introducing new techniques to carry out anti-detection.The detection of malicious social bots has become one of the most important problems in the research of online social network security and it is also a difficult problem.Firstly,development and application of social bots was reviewed and then a formulation description for the problem of detecting malicious social bots was made.Besides,main challenges in the detection of malicious social bots were analyzed.As for how to choose features for the detection,the development of choosing features that from static user features to dynamic propagation features and to relationship and evolution features were classified.As for choosing which method,approaches from the previous research based on features,machine learning,graph and crowd sourcing were summarized.Also,the limitation of these methods in detection accuracy,computation cost and so on was dissected.At last,a framework based on parallelizing machine learning methods to detect malicious social bots was proposed.…”
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Optimized Faster R-CNN with Swintransformer for Robust Multi-Class Wildfire Detection by Sugi Choi, Sunghwan Kim, Haiyoung Jung

“…Future research will focus on optimizing its real-time performance and improving its recall for challenging scenarios, thereby contributing to the development of robust and reliable wildfire detection systems.…”
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DETERMINATION OF PRIMERS EFFICIENCY IN THE DETECTION OF PEDIOCOCCUS IN WINES by Alexandra Buga, Irina Mitina, Valentin Mitin, Silvia Rubtov, Dan Zgardan

“…Pediococcus spp. are lactic acid bacteria which are considered spoilage in the wine making processes. Early detection can minimize the negative effects of Pediococcus spp on wine quality and prevent the development of advanced spoilage stages. …”
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Nanozyme-Powered Multimodal Sensing for Pesticide Detection by Binfeng Yin, Zhuoao Jiang, Rashid Muhammad, Jun Liu, Junjie Wang

“…The detection of pesticide residues in food is crucial for ensuring food safety, safeguarding public health, and promoting sustainable development. …”
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Detection and visualisation of terrain edges in slope failures by Slámová Martina, Sitko Roman, Kadlečík Roman, Skurčák Ľuboš, Chudý František

“…Our aim was to develop a pixel-based methodology employing multiple terrain parameters for the semi-automatic identification of terrain edges. …”
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Finetuning Large Language Models for Vulnerability Detection by Aleksei Shestov, Rodion Levichev, Ravil Mussabayev, Evgeny Maslov, Pavel Zadorozhny, Anton Cheshkov, Rustam Mussabayev, Alymzhan Toleu, Gulmira Tolegen, Alexander Krassovitskiy

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Fluorescent optotracers for bacterial and biofilm detection and diagnostics by Agneta Richter-Dahlfors, Elina Kärkkäinen, Ferdinand X. Choong

“…This review describes recent research on the development of optotracing methodologies for bacterial and biofilm detection and diagnostics. …”
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Contradiction Detection and Repair in a Large Theory by Adam Pease, Stephan Schulz

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Survey on anomaly detection technology based on logs by Yingjun ZHANG, Ushangqi LI, Mu YANG, Haixia ZHANG, Kezhen HUANG

“…Log information has become an important information resource in the rapid development of information systems.Through the analysis of logs,abnormal detection,fault diagnosis and performance diagnosis can be performed.The log-based anomaly detection technology was focused on.Firstly,the currently used log-based anomaly detection framework was introduced,and then the key link technologies such as log analysis and log anomaly detection were focused on.Finally,the current technology was summarized and suggestions for future research directions were given.…”
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Homogeneity Test Based Voice Activity Detection by Ouahbi Rekik, Mustapha Djeddou

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Biosensors for Micro- and Nanoplastics Detection: A Review by Maria Daoutakou, Spyridon Kintzios

“…In the current report, we review the state of the art in biosensor-based MP/NP detection, in particular, describing advances in optical and electrochemical approaches, along with the development of novel biorecognition elements and the application of bioinformatics tools.…”
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Paper-Based Optical Sensor for Detection of Bacteria by V. A. Hovhannisyan, G. G. Poghosyan, V. K. Gasparyan

“…A paper-based visual optical sensor for detecting bacteria was developed. The principle of the assay is to use lentil lectin immobilized on paper as a bacteria-binding primary ligand and the same lectin conjugated with gold nanoparticles as a detecting ligand. …”
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Detecting Demyelination by PET: The Lesion as Imaging Target by Pedro Brugarolas PhD, Daniel S. Reich MD, PhD, Brian Popko PhD

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Research on traffic representation in network anomaly detection by SUN Jianwen, ZHANG Bin, CHANG Heyu

“…Finally, the future research directions revolving around the collaborative development trend of traffic representation in network anomaly detection were outlined.…”
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Methods for detection of crises in the economy in the early stages by V. A. Ivaniuk, N. M. Abdikeev

“…The object of the study was the crisis situation of the individual assets, as well as methods of detecting the crisis at an early stage.…”
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Detection, removal and prevention of calculus: Literature Review by Deepa G. Kamath, Sangeeta Umesh Nayak

“…Hence, calculus should be accurately detected and thoroughly removed for adequate periodontal therapy. …”
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Deep Learning-Based Object Detection Algorithms by Yao Linxi

“…With the development of deep learning, Object detection algorithms have seen significant enhancements in both speed and accuracy, leading to extensive adoption across various domains, including autonomous driving, drone surveillance, and security monitoring. …”
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