Patient-Independent Epileptic Seizure Detection with Reduced EEG Channels and Deep Recurrent Neural Networks by Nadine El-Dajani, Tim Friedrich Lutz Wilhelm, Jan Baumann, Rainer Surges, Bernd T. Meyer

Subjects: “…epileptic seizure detection…”
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Protocol for the quantitative detection of mtDNA in the supernatants of activated human naive CD8+ T cells by Linlin Li, Jun Jin

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Collision detection and external force estimation for robot manipulators using a composite momentum observer by Benaoumeur Ibari, Mourad Hebali, Baghdadi Rezali, Menaouer Bennaoum

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A SURVEY OF NETWORK SERVICE LOG PROCESSING PLATFORMS AND TECHNIQUES FOR THE DETECTION OF INFORMATION INSECURITY RISKS by Phạm Duy Lộc, Hoàng Xuân Dậu

“…This defense layer includes intrusion detection and prevention systems for hosts and networks. …”
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Evaluation of Associated Structural and Chromosomal Abnormalities in Patients with Fetal Cerebral Ventriculomegaly Detected in Ultrasonographic Imaging by Erkan Cagliyan, Samican Ozmen, Sureyya Saridas Demir, Ceren Aydin, Egehan Bilen, Handan Guleryuz, Elif Yasar, Derya Ercal, Elcin Bora, Tufan Cankaya

“…Aneuploidy in ventriculomegaly is detected especially in moderate and severe ventriculomegaly accompanied by structural anomalies. …”
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Fault Detection and Classification of a Photovoltaic Generator Using the BES Optimization Algorithm Associated with SVM by R. J. Koloko Koloko, P. Ele, R. Wamkeue, A. Melingui

“…In this work, an innovative approach based on the estimation of the photovoltaic generator (GPV) parameters from the Bald Eagle Search (BES) optimization algorithm, associated with a support vector machine (SVM) classification algorithm, allowed to highlight a new tool for the classification of the signatures of shading and moisture PV defects. It recognizes signatures generated by the GPV in healthy and erroneous operation using the optimized parametric vector and classifies defects using the same optimized vector. …”
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Land use and land cover classification for change detection studies using convolutional neural network by V. Pushpalatha, P.B. Mallikarjuna, H.N. Mahendra, S. Rama Subramoniam, S. Mallikarjunaswamy

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Detection of Salmonella and several common Salmonella serotypes in food by loop-mediated isothermal amplification method by Zhongqiang Chen, Ke Zhang, Huan Yin, Qi Li, Lan Wang, Zhiguo Liu

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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

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Diagnostic Comparison of Different Methods for Detection of Occlusal Caries Lesions In New Erupted Permanent Teeth by Büsra Keskuş Şengül, Cansu Derdiyok, Fatih Öznurhan, İrem İpek

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Adenoma Detection Rate in Colonoscopic Screening with Ketamine-based Sedation: A Prospective Observational Study by Mirza KOVACEVIC, Nermina RIZVANOVIC, Adisa SABANOVIC ADILOVIC, Nedim BARUCIJA, Anida ABAZOVIC

“…Objective: This study aimed to determine the relationship between one of the most commonly used anesthesia techniques, ketamine-based sedation, on the value of adenoma detection rate (ADR) during colonoscopy screening. …”
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Lack of Detection of Xenotropic Murine Leukemia Virus-Related Virus in HIV-1 Lymphoma Patients by Krista A. Delviks-Frankenberry, Chawaree Chaipan, Rachel Bagni, Kathleen Wyvill, Robert Yarchoan, Vinay K. Pathak

“…Analysis of PMBCs and plasma from 26 patients failed to detect XMRV by PCR, ELISA, or Western blot, suggesting a lack of association between XMRV and AIDS-associated lymphomas.…”
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Reply to Comment by A. G. Davies on “Io Hot Spot Distribution Detected by Juno/JIRAM” by F. Zambon, A. Mura, F. Tosi

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Face morphing attacks and face image quality: The effect of morphing and the unsupervised attack detection by quality by Biying Fu, Naser Damer

“…The authors’ study goes further to build on this effect and investigate the possibility of performing unsupervised morphing attack detection (MAD) based on quality scores. The authors’ study looks into intra‐ and inter‐dataset detectability to evaluate the generalisability of such a detection concept on different morphing techniques and bona fide sources. …”
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A shallow convolutional neural network for cerebral neoplasm detection from magnetic resonance imaging by Hossein Sadr, Zeinab Khodaverdian, Mojdeh Nazari, Mohammad Yamaghani

“…The proposed model was implemented on the brain tumor MRI dataset, and the results of experiments showed promise in enhancing the accuracy of brain tumor detection, ultimately leading to better patient outcomes. …”
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On-site quantitative detection of fentanyl in heroin by machine learning-enabled SERS on super absorbing metasurfaces by Yingkun Zhu, Haomin Song, Ruiying Liu, Yunyun Mu, Murali Gedda, Abdullah N. Alodhay, Lei Ying, Qiaoqiang Gan

“…Our study introduces a novel approach for on-site quantitative detection of fentanyl in heroin, employing machine learning-enabled surface-enhanced Raman spectroscopy (SERS) on superabsorbing metasurfaces. …”
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Mid-infrared detection device using magnetite substrates deposited by radio frequency sputtering method by Kazuma Iwasaki, Seishi Abe, Tadao Tanabe

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Detection of Integrase Gene in E. coli Isolated from Pigs at Different Stages of Production System by Eulalia de la Torre, Rocío Colello, Nora Lía Padola, Analía Etcheverría, Edgardo Rodríguez, Fabián Amanto, María Ofelia Tapia, Alejandro Luis Soraci

“…E. coli containing any integron class or combination of both integrons was detected by polymerase chain reaction in 100% of sows and in piglets at different stages of production: farrowing pen stage 68.1%;, weaning 60%, and growing/finishing 85.8%, showing an increase along the production system. …”
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Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

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Image Digitization of Colorimetric Detection of Acephate Based on Its Complexation with Citrate-Capped Gold Nanoparticles by Mohd Junaedy Osman, Wan Md Zin Wan Yunus, Keat Khim Ong, Buong Woei Chieng, Noor Azilah Mohd Kassim, Siti Aminah Mohd Noor, Victor Feizal Knight, Jahwarhar Izuan Abd Rashid, Chin Chuang Teoh

“…Conventional techniques of detection are sensitive and selective but relatively time-consuming, expensive, and require trained personnel. …”
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