DÉTENTION PRÉVENTIVE ET SURPOPULATION CARCÉRALE AU MAROC: UNE INADÉQUATION À LA RECHERCHE D’UNE RÉSOLUTION by Mohamed Jaouhar

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Comparison between detection power of MBT STAR-Carba test and KBM CIM Tris II for carbapenemase-producing bacteria by Komatsu Shoko, Fujinaga Chinami, Nakanishi Noriko

“…The rapid detection of carbapenemase-producing bacteria is clinically important for selecting appropriate antimicrobial therapy. …”
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Advanced artificial intelligence with federated learning framework for privacy-preserving cyberthreat detection in IoT-assisted sustainable smart cities by Mahmoud Ragab, Ehab Bahaudien Ashary, Bandar M. Alghamdi, Rania Aboalela, Naif Alsaadi, Louai A. Maghrabi, Khalid H. Allehaibi

“…The AAIFLF-PPCD approach aims to ensure robust and scalable cyberthreat detection while preserving the privacy of IoT users in smart cities. …”
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Light-YOLO: a lightweight detection algorithm based on multi-scale feature enhancement for infrared small ship target by Ji Tang, Xiao-Min Hu, Sang-Woon Jeon, Wei-Neng Chen

Subjects: “…Infrared small target detection…”
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A Comprehensive Approach to Intrusion Detection in IoT Environments Using Hybrid Feature Selection and Multi-Stage Classification Techniques by G. Logeswari, J. Deepika Roselind, K. Tamilarasi, V. Nivethitha

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Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR by Joanna Depciuch, Izabela Sieminska, Pawel Jakubczyk, Bartosz Klebowski, Katarzyna Ptak, Izabela Szymońska, Przemko Kwinta, Maciej Siedlar, Jan Jakub Kęsik, Magdalena Parlinska-Wojtan, Jarek Baran

“…The difference in the chemical compositions of sera from the control group and the children after the treatment was detected in 54%, indicating that the treatment was effective. …”
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Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

“…In recent times, intrusion detection systems (IDS) have developed a vital part in ensuring security against these growing attacks. …”
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Author Correction: Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

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Artiljerijsko oruđe sa tečnim pogonskim punjenjem u fazi ispitivanja u SAD, International defense review, 1989 by M.P.

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First detection and molecular characterization of porcine epidemic diarrhea virus (PEDV) in India: evidence of a new variant in Karnataka by Jagadish B. Hiremath, M. Swathi, R. Ramamoorthy, M. Shijili, Damini Sharma, Divakar Hemadri, H. B. Chethankumar, K. P. Suresh, Sharanagouda S. Patil, Shivasharanappa Nayakvadi, S. P. Satheesha, B. R. Shome, Baldev Raj Gulati

“…Although antibodies were detected as early as 2003 in Assam, there was no evidence of viral detection or molecular characterization until this study. …”
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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

Subjects: “…Forgery detection…”
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Short communication: The importance of random effects in detecting purging of inbreeding depression: A model comparison in Pannon White rabbits by I. Nagy, I. Curik, A.T. Nguyen, J. Farkas, Gy. Kövér

“…The aim of this study was to compare the predictive power of two commonly used approaches in models with and without random dam effects to detect purging (full and reduced models). Specifically, we compared the full and reduced models based on the Kalinowski ancestral inbreeding coefficient (KAL) with the full and reduced inbreeding-purging (IP) models based on the purged inbreeding coefficient. …”
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A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning. by Fayaz Hassan, Zafi Sherhan Syed, Aftab Ahmed Memon, Saad Said Alqahtany, Nadeem Ahmed, Mana Saleh Al Reshan, Yousef Asiri, Asadullah Shaikh

“…Thus, the proposed low-complexity models can be used for intrusion detection in VANET scenario.…”
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A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

Subjects: “…Intrusion detection systems…”
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

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Assisting significance of lncRNA ASB16-AS1 in the early detection and prognosis prediction of patients with deep venous thrombosis by Menglan Li, Yingying Li, Dawei Zhang, Cheng Cheng, Meiying Yang, Xiuyin Zhang, Xinming Yu, Bo Lu, Min Wang

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Novi nemački tenkovski top NPzK za borbu protiv budućih tenkova, International Defense Review, 1990 by M.P.

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What Is the Most Cost-Effective Breeding Program for Dairy Heifers—Timed AI, Estrous Detection, or a Combination of Both? by Klibs N. Galvão, Eduardo S. Ribeiro, Jose Eduardo P. Santos

“…VM199/VM199: What Is the Most Cost-Effective Breeding Program for Breeding Heifers—Timed AI, Estrous Detection, or a Combination of Both? (ufl.edu) …”
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Homeowner Detection of and Recommendations for Mitigating Redbay Ambrosia Beetle – Laurel Wilt Disease on Redbay and Avocado Trees in the Home Landscape by Jonathan H. Crane, Jason A. Smith

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RETRACTED: An Infrared Small Target Detection Method Based on a Weighted Human Visual Comparison Mechanism for Safety Monitoring by Yuanyuan Chen, Huiqian Wang, Yu Pang, Jinhui Han, En Mou, Enling Cao

“…Infrared small target detection is a crucial technology in both military and civilian applications, including surveillance, security, defense, and combat. …”
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