Detection of Mycobacterium tuberculosis in a patient with suspected cystic echinococcosis: a case report by Simon Daller, Julian Frederic Hotz, Moritz Staudacher, Polina Kalinina, Susanna Lang, Fredrik Waneck, Heimo Lagler

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Evaluating YOLO Models for Efficient Crack Detection in Concrete Structures Using Transfer Learning by Muhammad Sohaib, Muzamal Arif, Jong-Myon Kim

“…The YOLO models are initially trained on a dataset containing both images with and without cracks, producing a generalized model capable of extracting abstract features beneficial for crack detection. …”
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Research on Abnormal State Detection of CZ Silicon Single Crystal Based on Multimodal Fusion by Lei Jiang, Haotan Wei, Ding Liu

“…To address this challenge, we propose an enhanced multimodal fusion classification model for detecting and categorizing these four anomalous states. …”
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AnomalGRN: deciphering single-cell gene regulation network with graph anomaly detection by Zhecheng Zhou, Jinhang Wei, Mingzhe Liu, Linlin Zhuo, Xiangzheng Fu, Quan Zou

“…Considering the imbalance between positive and negative links in GRNs, we further adapt this issue into a graph anomaly detection (GAD) task, marking the first application of anomaly detection to GRN analysis. …”
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Toxicological studies of fungicides frequently detected in drinking water using in vitro biological models by Gabriela Sokołowska, Agata Jabłońska-Trypuć, Monika Naumowicz, Rafał Krętowski, Urszula Wydro, Elżbieta Wołejko, Marzanna Cechowska-Pasko, Carmen Estevan Martínez, Anna Pietryczuk, Adam Cudowski

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Actuator fault detection method of quadrotor UAV based on dual channel inertial sensors by Laihong Zhou, Hong Jin, Ping Chen, Jianqiang Xiong, Chengdi Li, Wenming Xiong

“…Abstract Aiming at the problem of actuator failure of quadrotor unmanned aerial vehicle (UAV), a novel fault detection method based on dual channel inertial sensors is proposed. …”
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Integrated Detection of Respiration and Heartbeat With Communication Capabilities Using OFDM-LFM-MP Signals by Zhaoshen Dong, Yan Liu, Yukai Ouyang

“…Subsequently, we conduct MATLAB simulations to evaluate the sensing efficacy of the OFDM-LFM-MP signal in detecting heartbeats and respiration alongside its communication performance. …”
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SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection by Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro

“…The latter have been shown to be promising in violence detection. The aim of our architecture is to harness the combined strengths of the two known methods for improved accuracy. …”
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The Application of PSO in Structural Damage Detection: An Analysis of the Previously Released Publications (2005–2020) by Parsa Ghannadi, Seyed Sina Kourehli, Seyedali Mirjalili

“…The structural damage detection methods could be regarded as the core of SHM strategies. …”
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Federated Learning-Assisted Coati Deep Learning-Based Model for Intrusion Detection in MANET by S. Faizal Mukthar Hussain, S. M. H. Sithi Shameem Fathima

“…In this paper, a novel Hybrid Intrusion DEtection for MANet (HIDE-MAN) technique has been proposed to detect intrusion like DDoS and MitM attacks in MANET. …”
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A Novel Dense-Swish-CNN With Bi-LSTM Framework for Image Deepfake Detection by B. C. Soundarya, H. L. Gururaj

“…This situation necessitates the development of automated methods to detect deepfakes. In this work, we propose a hybrid deep learning approach for deepfake face detection. …”
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AI-Synthesized Image Detection: Source Camera Fingerprinting to Discern the Authenticity of Digital Images by Manisha, Chang-Tsun Li, Karunakar A. Kotegar

“…Detecting AI-synthesized images remains a challenge due to their increasing realism. …”
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Enhancing Defect Detection on Surfaces Using Transfer Learning and Acoustic Non-Destructive Testing by Michele Lo Giudice, Francesca Mariani, Giosuè Caliano, Alessandro Salvini

“…Due to the great heterogeneity of materials and layering configurations, highly specialized expertise is often required to detect the presence and extent of such defects. This study presents a novel approach that leverages transfer learning techniques to improve the detection of debonding defects across different surface types using PICUS, an acoustic diagnostic device developed at Roma Tre University for the assessment of defects in heritage wall paintings. …”
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TLDDM: An Enhanced Tea Leaf Pest and Disease Detection Model Based on YOLOv8 by Jun Song, Youcheng Zhang, Shuo Lin, Huijie Han, Xinjian Yu

“…The detection and identification of tea leaf diseases and pests play a crucial role in determining the yield and quality of tea. …”
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An Improved Kernel Entropy Component Analysis for Damage Detection Under Environmental and Operational Variations by Shuigen Hu, Jian Yang, Jiezhong Huang, Dongsheng Li, Cheng Li

“…Environmental effects often trigger false alarms in vibration-based damage detection methods used for structural health monitoring (SHM). …”
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Broadband THz Wave Generation and Detection in Organic Crystal PNPA at MHz Repetition Rates by Lukasz A. Sterczewski, Jakub Mnich, Jaroslaw Sotor

“…Using a compact 200 mW Er:fiber laser producing 18 fs pulses at 50 MHz repetition rate, the THz field generation and detection capabilities of PNPA via performing gas phase spectroscopy in the 1.3–8.5 THz range are demonstrated. …”
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An Improved Framework for Content- and Link-Based Web-Spam Detection: A Combined Approach by Asim Shahzad, Nazri Mohd Nawi, Muhammad Zubair Rehman, Abdullah Khan

“…The framework uses stopwords, keywords’ frequency, part of speech (POS) ratio, spam keywords database, and copied-content algorithms for content-based web-spam detection. For link-based web-spam detection, we initially exposed the relationship network behind the link-based web spamming and then used the paid-link database, neighbour pages, spam signals, and link-farm algorithms. …”
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Slow off responses in the rat superior colliculus neurons may contribute to the predator detection by Gytis Baranauskas

“…Such visually triggered behaviours are usually initiated in the superior colliculus (SC); therefore, it is likely that such slowly moving dark spots can produce responses in SC neurons. …”
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Efficient detection of gastric cancer biomarkers on functionalized carbon nanoribbons using DFT analysis by Ibrahim Alghoul, Tanveer Hussain, Shahid Nazir, Nacir Tit

“…Abstract Early diagnosis of gastric cancer (GC) is crucially important to initiate a therapy plan aiming at rescue and cure. …”
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Detecting cognitive impairment in cerebrovascular disease using gait, dual tasks, and machine learning by Vânia Guimarães, Inês Sousa, Miguel Velhote Correia

“…In this study, we investigated whether using gait and dual tasks could help detect cognitive impairment after stroke. Methods We analyzed gait and neuropsychological data from 47 participants who were part of the Ontario Neurodegenerative Disease Research Initiative. …”
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