Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…Transaction fraud detection (TFD) poses a significant challenge due to the severe class imbalance, where fraudulent transactions, though rare, cause substantial financial losses. …”
Get full text

Single-molecule manipulation and detection by WGM-coupled photonic nanojets by Heng Li, Zhiyong Gong, Tong He, Tianli Wu, Yuchao Li, Yao Zhang

“…Abstract Optical manipulation and detection of single molecules, such as biomolecules and bacterial viruses, are crucial in single-molecule mechanics and biosensing. …”
Get full text

Hate Speech Detection Using Machine Learning: A Survey by Seble, H., Muluken, S., Edemealem Kingawa, Kafte, T., Terefe, F., Mekashaw, G., Abiyot, B., Senait, T.

“…Despite, research on identifying and detecting hate speech is not satisfactory performance, and this is why future research on this issue is constantly called for. …”
Get full text

Efficacy of swarm-based neural networks in automated depression detection by Alwan Atta, Dina ElSayad, Doaa Ezzat, Safaa Amin, Mahmoud ElGamal

“…The experiments were done with the DAIC-WOZ corpus, which is a benchmark dataset for depression detection. In the first experiment, the dragonfly algorithm was used and gave a macro F1 score 0.76, recall of 0.80, and precision of 0.74. …”
Get full text

Fault detection method for distribution network based on edge computing by YANG Hao, ZHAO Huan, XUE Rong, YU Yubin, WEI Enwei, HUANG Bing

Get full text

An explainable EEG epilepsy detection model using friend pattern by Turker Tuncer, Sengul Dogan

“…EEG signals have commonly been used to detect epilepsy. Therefore, the main objective of this research is to demonstrate the epilepsy detection capability of the presented new-generation relation-centric feature extraction function. …”
Get full text

TRANSFER LEARNING MODELS COMPARISON FOR DETECTING AND DIAGNOSING SKIN CANCER by Peshraw Ahmed Abdalla, Abdalbasit Mohammed Qadir, Omed Jamal Rashid, Sarkhel H. Taher Karim, Bashdar Abdalrahman Mohammed, Karzan Jaza Ghafoor

“…Therefore, deep neural network techniques are used to create an automated and computerized mechanism for detecting skin illnesses. …”
Get full text

CANARY Technology: Working Principles of Biosensor, Detection of Infectious Pathogens by A. S. Gorshkov, D. V. Pechenkin, A. V. Kuznetsovskiy

“…Currently, biosensors are already created for the detection of causative agents of plague (100–1000 CFU / ml), tularemia (100 CFU / ml), anthrax (100–500 spores / ml), smallpox (<500 CFU / ml), some toxins (ricin – 3 ng / ml, botulinum toxin – 16 pg / ml). …”
Get full text

Automatic Registration and Error Detection of Multiple Slices Using Landmarks by Hans Frimmel, Lars Egevad, Christer Busch, Ewert Bengtsson

“…In this paper, a method for automatic registration and error detection of slices using landmark needles has been developed. …”
Get full text

Neighbor Similarity Based Agglomerative Method for Community Detection in Networks by Jianjun Cheng, Xing Su, Haijuan Yang, Longjie Li, Jingming Zhang, Shiyan Zhao, Xiaoyun Chen

“…Community structures can reveal organizations and functional properties of complex networks; hence, detecting communities from networks is of great importance. …”
Get full text

Enhancing Nonenzymatic Glucose Detection Through Cobalt‐Substituted Hafnia by Jeonghyeon Oh, Avis Sin Hui Wee, Eun‐Byeol Park, Jaejin Hwang, Seon Je Kim, Hu Young Jeong, Myat Thet Khine, Pavan Pujar, Jaekwang Lee, Young‐Min Kim, Sunkook Kim

Get full text

Enhancing Road Safety: Detection of Animals on Highways During Night by K. Parkavi, Agniv Ganguly, Shivansh Sharma, Ashesh Banerjee, Keshav Kejriwal

“…Animals on highways at night can create serious accidents that put both human and wildlife lives in danger. …”
Get full text

Applications of AI-Based Models for Online Fraud Detection and Analysis by Antonis Papasavva, Samantha Lundrigan, Ed Lowther, Shane Johnson, Enrico Mariconti, Anna Markovska, Nilufer Tuptuk

“…Advances in online communication technologies continue to create new opportunities for fraud, and fraudsters increasingly using these channels for deception. …”
Get full text

Towards Parkinson’s Disease Detection Through Analysis of Everyday Handwriting by Jeferson David Gallo-Aristizabal, Daniel Escobar-Grisales, Cristian David Ríos-Urrego, Jesús Francisco Vargas-Bonilla, Adolfo M. García, Juan Rafael Orozco-Arroyave

“…This finding is in line with previous results in the state-of-the-art research and constitutes a step forward to create more accurate and informative methods to detect and monitor PD symptoms.…”
Get full text

Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

“…Abstract A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. …”
Get full text

Novel Approaches for the Early Detection of Glaucoma Using Artificial Intelligence by Marco Zeppieri, Lorenzo Gardini, Carola Culiersi, Luigi Fontana, Mutali Musa, Fabiana D’Esposito, Pier Luigi Surico, Caterina Gagliano, Francesco Saverio Sorrentino

“…Through the fast and accurate analysis of massive amounts of imaging data, artificial intelligence (AI), in particular machine learning (ML) and deep learning (DL), has emerged as a promising method to improve the early detection and management of glaucoma. Aims: The purpose of this study is to examine the current uses of AI in the early diagnosis, treatment, and detection of glaucoma while highlighting the advantages and drawbacks of different AI models and algorithms. …”
Get full text

Explainable correlation-based anomaly detection for Industrial Control Systems by Ermiyas Birihanu, Imre Lendák

“…Anomaly detection is vital for enhancing the safety of Industrial Control Systems (ICS). …”
Get full text

SYSTEM FOR DETECTION AND IDENTIFICATION OF POTENTIALLY EXPLOSIVE OBJECTS IN OPEN AREA by Ivan Pakhnуts, Sofiia Khrustalova, Kirill Khrustalev

“…To achieve the goal, the following tasks were solved: a review and analysis of modern methods and systems for the detection and identification of potentially explosive military objects was carried out, the classification of identifiable explosive objects was determined, system components were selected, a structural diagram and an algorithm of the software control tool were developed system of identification of potentially explosive objects in an open area, a software tool for detection and identification of potentially explosive objects in an open area was created. …”
Get full text

Detection and Diagnosis faults in Machine asynchronous based on single processing by Ibrahim Chouidira, DjalalEddine Khodja, Hani Benguesmia

“…The breaking of the most frequent bars of the rotor causes oscillations of the torque, speed, and the current, the increase of the resistance of the rotor creates the defects proportional with the number of breaks bar K .The diagnosis fault using technique of single processing based on Spectrum analysis for detection broken bar. …”
Get full text

Video tamper detection method based on nonnegative tensor factorization by Xue-li ZHANG, Tian-qiang HUANG, Jing LIN, Wei HUANG

“…The authenticity and integrity of video authentication is one of the important contents in information security field.A video tampering detection method based on non-negative tensor decomposition was proposed for video inter-frame tampering.First of all,spectral feature of video frame was extracted quickly.The video was described by a three-dimensional tensor which created by the main compression feature.The tensor was factorized by Tucker non-negative decomposition method and then the time dimension matrix was extracted to calculate correlation.Finally,the tampering position was determined by using the Chebyshev’s inequality.Experiments show that this method can detect the video inter-frame tampering quickly and robustly.…”
Get full text