Non-Destructive Detection of Pesticide-Treated Baby Leaf Lettuce During Production and Post-Harvest Storage Using Visible and Near-Infrared Spectroscopy by Dimitrios S. Kasampalis, Pavlos I. Tsouvaltzis, Anastasios S. Siomos

“…Partial least square discriminant analysis (PLSDA) combined with feature-selection techniques was implemented, in order to classify baby lettuce tissue into pesticide-free or pesticide-treated ones. …”
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Machine Learning-Driven Radiomics Analysis for Distinguishing Mucinous and Non-Mucinous Pancreatic Cystic Lesions: A Multicentric Study by Neus Torra-Ferrer, Maria Montserrat Duh, Queralt Grau-Ortega, Daniel Cañadas-Gómez, Juan Moreno-Vedia, Meritxell Riera-Marín, Melanie Aliaga-Lavrijsen, Mateu Serra-Prat, Javier García López, Miguel Ángel González-Ballester, Maria Teresa Fernández-Planas, Júlia Rodríguez-Comas

“…Feature selection was performed using Least Absolute Shrinkage and Selection Operator (LASSO) regression, followed by classification with an Adaptive Boosting (AdaBoost) model trained on the optimized feature set. …”
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Transformer-Based Vulnerability Detection in IoT Firmware Binaries Using Opcode Sequences by M. Nandish, Jalesh Kumar, H. G. Mohan, M. V. Manoj Kumar

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Defect Detection and Correction in OpenMP: A Static Analysis and Machine Learning-Based Solution by Norah A. Al-Johany, Fathy E. Eassa, Sanaa A. Sharaf, Eynas H. Balkhair, Sara M. Assiri

“…This paper presents a novel static analysis tool designed to detect and automatically correct concurrency-related defects in OpenMP programs. …”
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Adaptive convolutional neural network-based principal component analysis algorithm for the detection of manufacturing data by Tsun-Kuo Lin

“…Herein, an adaptive convolutional neural network (CNN)-based principal component analysis (PCA) algorithm for the detection of manufacturing data is proposed. …”
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Radiomics analysis based on plain X-rays to detect spinal fractures with posterior wall injury by Wangmi Liu, Xiaxuan Zhang, Ruofu Tang, Chengcheng Yu, Guofang Sun

“…Radiomic features were extracted from both anteroposterior and lateral plain spine radiographs to evaluate the utility of radiomics in detecting posterior wall injury. …”
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Detection of Wood Boring Insects’ Larvae Based on the Acoustic Signal Analysis and the Artificial Intelligence Algorithm by Piotr BILSKI, Piotr BOBIŃSKI, Adam KRAJEWSKI, Piotr WITOMSKI

“…The results allowed us to assess the effectiveness of the old house borer’s detection by the acoustic analysis enhanced with the AI algorithm.…”
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GenVis: Visualizing Genre Detection in Movie Trailers for Enhanced Understanding by Faheem Shaukat, Naveed Ejaz, Zeeshan Ashraf, Mrim M. Alnfiai, Mona Mohammed Alnahari, Reemiah Muneer Alotaibi

“…Automatic movie genre detection is vital for improving content recommendations, user experiences, and organization. …”
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PRIVACY-AWARE MALARIA DETECTION: U-NET MODEL WITH K-ANONYMITY FOR CONFIDENTIAL IMAGE ANALYSIS by Ghazala Hcini, Imen Jdey

“…Malaria detection through cell image analysis is essential for early diagnosis and effective treatment, as timely detection can significantly reduce the risk of severe health complications. …”
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Detection of tuberculosis using cough audio analysis: a deep learning approach with capsule networks by Sakthi Jaya Sundar Rajasekar, Anu Rithiga Balaraman, Deepa Varnika Balaraman, Saleem Mohamed Ali, Kannan Narasimhan, Narayanasamy Krishnasamy, Varalakshmi Perumal

“…Abstract Purpose Tuberculosis (TB) is a widespread infectious disease that requires early detection for effective treatment and control. This study aims to improve TB detection using cough audio analysis, comparing the performance of capsule networks to other deep learning models. …”
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MSRP-TODNet: a multi-scale reinforced region wise analyser for tiny object detection by Thulasi Bikku, K. P. N. V. Satya Sree, Srinivasarao Thota, Malligunta Kiran Kumar, P. Shanmugasundaram

“…To address this, we propose Multi-Scale Region-wise Pixel Analysis with GAN for Tiny Object Detection (MSRP-TODNet). …”
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Detection of Broken Rotor Bars in Presence of Load Oscillations by Klemen Drobnic, Mitja Nemec, Henrik Lavric, Vanja Ambrozic, Rastko Fiser

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Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

“…However, electrical faults such as inter-turn short circuits can compromise performance, leading to unplanned downtime and maintenance costs. Traditional fault detection methods rely on stator current or vibration analysis, each with limitations regarding sensitivity to specific failure modes and dependence on motor power ratings. …”
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Leveraging Image Analysis and Deep Convolutional Neural Networks for Cutting-Edge Malware Detection and Mitigation by Mohammad Mahmood Otoom, Ahmad Mahmoud Etoom

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A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis by Salman Muneer, Umer Farooq, Atifa Athar, Muhammad Ahsan Raza, Taher M. Ghazal, Shadman Sakib

“…Intrusion detection (ID) is critical in securing computer networks against various malicious attacks. …”
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Remote Sensing-Based Detection and Analysis of Slow-Moving Landslides in Aba Prefecture, Southwest China by Juan Ren, Wunian Yang, Zhigang Ma, Weile Li, Shuai Zeng, Hao Fu, Yan Wen, Jiayang He

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An Attention-Enhanced 3D-CNN Framework for Spectrogram-Based EEG Analysis in Epilepsy Detection by Ziaullah Khan, Aakanksha Dayal, Hee-Cheol Kim

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Simulation Analysis of Void Defect Detection in Sandwich-Structured Immersed Tunnel Using Elastic Wave by Ruiqiang Liu, Songhui Li, Guoxin Zhang, Shenyou Song, Jianda Xin

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Performance Testing and Analysis of a New GNSS Spoofing Detection Method in Different Spoofing Scenarios by Li Junzhi, Wu Haitao, Gao Jinfeng, Liu Fang, Zhang Yu, Li Gangqiang, He Yu

“…This paper addresses the vulnerability of Global Navigation Satellite Systems (GNSS) to spoofing signal attacks by proposing a spoofing detection method based on multi-parameter features and an optimized random forest algorithm. …”
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Ocean Target Electric Field Signal Analysis and Detection Using LOFAR Based on Basis Pursuit by Huiwen Hu, Xuepeng Sun, Guocheng Wang, Lintao Liu

“…An ocean target electric field signal is an effective approach for analyzing the ocean environment and is widely used for detecting ocean targets, extracting their features, and tracking them. …”
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